diff --git a/.github/workflows/solver-regression.yml b/.github/workflows/solver-regression.yml
index 6b35f2b..b9eb402 100644
--- a/.github/workflows/solver-regression.yml
+++ b/.github/workflows/solver-regression.yml
@@ -76,11 +76,12 @@ jobs:
           cache-dependency-path: |
             requirements.txt
             constraints/python312-direct.txt
-      - name: Install reference dependencies
+            constraints/python312-linux-x86_64.lock
+      - name: Install hashed Linux release lock
         run: |
           python -m pip install \
-            -r requirements.txt \
-            -c constraints/python312-direct.txt
+            --force-reinstall \
+            -r constraints/python312-linux-x86_64.lock
           python -m pip check
       - name: Run solver foundation tests
         env:
@@ -89,6 +90,8 @@ jobs:
           python -W error::ResourceWarning -m unittest \
             tests.test_dependency_constraints \
             tests.test_benchmark_regression \
+            tests.test_physical_state_v21 \
+            tests.test_test_mql_ame_contract \
             tests.test_test_mql_8_regression \
             tests.test_mql_full_branches_regression \
             tests.test_pressure_flow_causal_execution \
@@ -115,18 +118,19 @@ jobs:
           cache-dependency-path: |
             requirements.txt
             constraints/python312-direct.txt
-      - name: Install reference dependencies
+            constraints/python312-linux-x86_64.lock
+      - name: Install hashed Linux release lock
         run: |
           python -m pip install \
-            -r requirements.txt \
-            -c constraints/python312-direct.txt
+            --force-reinstall \
+            -r constraints/python312-linux-x86_64.lock
           python -m pip check
       - name: Run 0.81 and 2.10 second historical regression
         run: |
           mkdir -p artifacts
           python -m app.simulation.benchmark_regression \
             --manifest tests/baselines/simulation/test_mql_full_branches/manifest.json \
-            --lane solver-only \
+            --lane production \
             --output artifacts/test-mql-full-branches.json
       - if: always()
         uses: actions/upload-artifact@v4
@@ -150,11 +154,12 @@ jobs:
           cache-dependency-path: |
             requirements.txt
             constraints/python312-direct.txt
-      - name: Install reference dependencies
+            constraints/python312-linux-x86_64.lock
+      - name: Install hashed Linux release lock
         run: |
           python -m pip install \
-            -r requirements.txt \
-            -c constraints/python312-direct.txt
+            --force-reinstall \
+            -r constraints/python312-linux-x86_64.lock
           python -m pip check
       - name: Run bounded progressive main-model regression
         env:
diff --git a/README.md b/README.md
index b5d5365..beef40b 100644
--- a/README.md
+++ b/README.md
@@ -6,9 +6,9 @@ ReactFlow 系统建模与 `app.simulation` 仿真后端。
 
 后端统一使用 Python 3.12；仓库根目录的 `.python-version` 记录本轮参考补丁版本
 `3.12.3`。`requirements.txt` 保留支持范围，
-`constraints/python312-direct.txt` 固定应用直接依赖的参考版本。普通开发、性能复测和
-CI 应同时使用两者，以避免同一代码在不同时间解析到不同的 NumPy、SciPy 或 Web
-框架版本。
+`constraints/python312-direct.txt` 固定跨平台开发环境的直接依赖参考版本；
+`constraints/python312-linux-x86_64.lock` 则完整固定发布与 CI 所用的 Linux x86_64
+wheel、全部传递依赖及其 SHA-256。
 
 Windows：
 
@@ -25,20 +25,21 @@ Linux：
 ```bash
 python3.12 -m venv .venv
 ./.venv/bin/python -m pip install \
-  -r requirements.txt \
-  -c constraints/python312-direct.txt
+  -r constraints/python312-linux-x86_64.lock
 ./.venv/bin/python -m pip check
 ```
 
-约束文件只固定代码直接导入或启动的 `fastapi`、`lxml`、`numpy`、`pydantic`、
-`scipy` 和 `uvicorn`。`uvicorn[standard]` 的可选传递依赖包含平台差异，因此仍由 pip
-按目标平台解析；这套方案固定求解器和接口层的主要版本，但不是带 wheel 哈希的逐位
-相同发布锁。若要测试 `requirements.txt` 声明的兼容范围，可显式省略 `-c`，但这类
-结果不应与受约束环境的性能数据直接比较。
+Linux 发布锁仅适用于兼容 manylinux_2_28 的 Linux x86_64 和 CPython 3.12。它启用
+`--only-binary=:all:` 与 `--require-hashes`，因此不会静默改用源码包或未审计 wheel；
+CI 和正式性能复测必须直接以 `-r` 安装该文件。Windows 或其他平台的开发环境继续
+使用 `requirements.txt` 加 `constraints/python312-direct.txt`。若要测试
+`requirements.txt` 声明的兼容范围，可显式省略约束，但这类结果不应与锁定环境的
+性能数据直接比较。
 
-升级参考版本时，应在干净的 Python 3.12 虚拟环境中同时安装范围文件和约束文件，
-运行 `pip check` 与后端测试，再更新约束；不要从单个平台的 `pip freeze` 直接复制
-所有传递依赖。
+升级参考版本时，应在干净的 Python 3.12 Linux x86_64 虚拟环境中解析范围文件，
+仅下载兼容 wheel，逐个记录 wheel 的 SHA-256，再从空环境安装发布锁并运行
+`pip check`、依赖契约测试与后端测试。不能只复制 `pip freeze`，因为它既不证明
+依赖来源，也不校验安装产物。
 
 前端使用 Vite 8，需要 Node.js `20.19+` 或 `22.12+`。首次启动前安装前端依赖。
 
diff --git a/app/simulation/benchmark_regression.py b/app/simulation/benchmark_regression.py
index 38e199a..d50b6ce 100644
--- a/app/simulation/benchmark_regression.py
+++ b/app/simulation/benchmark_regression.py
@@ -31,6 +31,14 @@ from time import monotonic, perf_counter, process_time
 from typing import Any
 import xml.etree.ElementTree as ET
 
+from app.simulation.physical_state_v21 import (
+    PhysicalStateV21Error,
+    evaluate_physical_state_v21,
+    load_approved_golden as load_physical_state_v21_golden,
+    physical_state_v21_applicable,
+    project_physical_state_v21,
+)
+
 try:  # resource is unavailable on native Windows Python.
     import resource
 except ImportError:  # pragma: no cover - Windows regression job
@@ -456,6 +464,50 @@ def load_regression_manifest(path: Path | str) -> dict[str, object]:
             "Authoritative XML byte count does not match manifest source.bytes."
         )
 
+    reference_archive = source.get("referenceArchive")
+    reference_archive_path: Path | None = None
+    reference_archive_sha256: str | None = None
+    if reference_archive is not None:
+        if not isinstance(reference_archive, Mapping):
+            raise RegressionManifestError(
+                "Manifest source.referenceArchive must be an object when declared."
+            )
+        archive_path_value = reference_archive.get("path")
+        archive_sha256 = reference_archive.get("sha256")
+        archive_bytes = reference_archive.get("bytes")
+        if (
+            not isinstance(archive_path_value, str)
+            or not archive_path_value
+            or not _valid_sha256(archive_sha256)
+            or not isinstance(archive_bytes, int)
+            or archive_bytes <= 0
+            or reference_archive.get("role") != "authoritativePhysicalBaseline"
+        ):
+            raise RegressionManifestError(
+                "Manifest AMESim reference archive identity or role is incomplete."
+            )
+        reference_archive_path = (repository_root / archive_path_value).resolve()
+        if not reference_archive_path.is_relative_to(repository_root):
+            raise RegressionManifestError(
+                "AMESim reference archive must remain inside the repository."
+            )
+        try:
+            archive_payload = reference_archive_path.read_bytes()
+        except OSError as exc:
+            raise RegressionManifestError(
+                f"Could not read AMESim reference archive {reference_archive_path}: {exc}"
+            ) from exc
+        if len(archive_payload) != archive_bytes:
+            raise RegressionManifestError(
+                "AMESim reference archive byte count mismatch."
+            )
+        actual_archive_sha256 = _sha256(archive_payload)
+        if actual_archive_sha256 != archive_sha256:
+            raise RegressionManifestError(
+                "AMESim reference archive hash mismatch."
+            )
+        reference_archive_sha256 = str(archive_sha256)
+
     companion = source.get("companionProject")
     companion_path: Path | None = None
     if companion is not None:
@@ -627,6 +679,28 @@ def load_regression_manifest(path: Path | str) -> dict[str, object]:
     correctness = manifest.get("correctness")
     if not isinstance(correctness, dict):
         raise RegressionManifestError("Manifest correctness must be an object.")
+    python_golden_role = correctness.get("pythonGoldenRole", "acceptanceGate")
+    if python_golden_role not in {
+        "acceptanceGate",
+        "determinismDiagnosticOnly",
+    }:
+        raise RegressionManifestError(
+            "correctness.pythonGoldenRole must be acceptanceGate or "
+            "determinismDiagnosticOnly."
+        )
+    physical_baseline_authority = correctness.get("physicalBaselineAuthority")
+    compare_amesim_on_every_run = correctness.get(
+        "compareAmesimOnEveryRun", False
+    )
+    if physical_baseline_authority is not None and (
+        physical_baseline_authority != "amesim"
+        or compare_amesim_on_every_run is not True
+        or reference_archive_path is None
+    ):
+        raise RegressionManifestError(
+            "AMESim physical authority requires a validated reference archive "
+            "and compareAmesimOnEveryRun=true."
+        )
     state_relative_tolerance = _finite_nonnegative(
         correctness.get("stateRelativeTolerance"),
         field="correctness.stateRelativeTolerance",
@@ -641,6 +715,9 @@ def load_regression_manifest(path: Path | str) -> dict[str, object]:
     )
 
     loaded_goldens: dict[str, dict[str, dict[str, object]]] = {}
+    loaded_physical_state_v21_goldens: dict[
+        str, dict[str, dict[str, object]]
+    ] = {}
     for case_id in sequence:
         variant = variants[case_id]
         assert isinstance(variant, dict)
@@ -654,6 +731,14 @@ def load_regression_manifest(path: Path | str) -> dict[str, object]:
                 raise RegressionManifestError(
                     f"Variant {case_id!r} has an invalid golden lane reference."
                 )
+            if python_golden_role == "determinismDiagnosticOnly" and (
+                reference.get("role") != "pythonDeterminismRegression"
+                or reference.get("affectsPhysicalCorrectness") is not False
+            ):
+                raise RegressionManifestError(
+                    f"Variant {case_id!r} Python golden must be marked as a "
+                    "non-physical determinism regression."
+                )
             golden_path_value = reference.get("path")
             golden_sha256 = reference.get("sha256")
             if (
@@ -704,6 +789,95 @@ def load_regression_manifest(path: Path | str) -> dict[str, object]:
                 )
             loaded_goldens.setdefault(case_id, {})[lane_name] = golden
 
+        raw_physical_state_v21_goldens = variant.get(
+            "physicalStateV21Goldens", {}
+        )
+        if not isinstance(raw_physical_state_v21_goldens, dict):
+            raise RegressionManifestError(
+                f"Variant {case_id!r} physicalStateV21Goldens must be an object "
+                "keyed by lane."
+            )
+        for lane_name, reference in raw_physical_state_v21_goldens.items():
+            if lane_name not in lanes or not isinstance(reference, Mapping):
+                raise RegressionManifestError(
+                    f"Variant {case_id!r} has an invalid physical-state-v2.1 "
+                    "golden lane reference."
+                )
+            if physical_baseline_authority == "amesim" and (
+                reference.get("role") != "amesimPhysicalBaseline"
+                or reference.get("compareOnEveryRun") is not True
+            ):
+                raise RegressionManifestError(
+                    f"Variant {case_id!r} physical-state reference must be marked "
+                    "as the per-run AMESim physical baseline."
+                )
+            golden_path_value = reference.get("path")
+            golden_sha256 = reference.get("sha256")
+            if (
+                not isinstance(golden_path_value, str)
+                or not golden_path_value
+                or not _valid_sha256(golden_sha256)
+            ):
+                raise RegressionManifestError(
+                    f"Variant {case_id!r} physical-state-v2.1 golden reference "
+                    "is incomplete."
+                )
+            golden_path = (repository_root / golden_path_value).resolve()
+            if not golden_path.is_relative_to(repository_root):
+                raise RegressionManifestError(
+                    "Physical-state-v2.1 golden must remain inside the repository."
+                )
+            try:
+                physical_state_golden = load_physical_state_v21_golden(golden_path)
+            except (OSError, PhysicalStateV21Error) as exc:
+                raise RegressionManifestError(
+                    f"Could not load physical-state-v2.1 golden {golden_path}: {exc}"
+                ) from exc
+            if physical_state_golden.get("_sha256") != golden_sha256:
+                raise RegressionManifestError(
+                    f"Variant {case_id!r} physical-state-v2.1 golden hash mismatch."
+                )
+            if (
+                physical_state_golden.get("caseId") != case_id
+                or physical_state_golden.get("lane") != lane_name
+                or physical_state_golden.get("sourceXmlSha256") != expected_sha256
+            ):
+                raise RegressionManifestError(
+                    f"Variant {case_id!r} physical-state-v2.1 golden identity "
+                    "does not match the manifest."
+                )
+            physical_provenance = physical_state_golden.get("provenance")
+            physical_amesim = (
+                physical_provenance.get("amesim")
+                if isinstance(physical_provenance, Mapping)
+                else None
+            )
+            if physical_baseline_authority == "amesim" and (
+                not isinstance(physical_amesim, Mapping)
+                or physical_amesim.get("archiveSha256")
+                != reference_archive_sha256
+            ):
+                raise RegressionManifestError(
+                    f"Variant {case_id!r} AMESim baseline provenance does not "
+                    "match source.referenceArchive."
+                )
+            expected_times = [float(value) for value in variant["checkpointTimes"]]
+            physical_state_checkpoints = physical_state_golden.get("checkpoints")
+            assert isinstance(physical_state_checkpoints, list)
+            golden_times = [
+                float(checkpoint["requestedTime"])
+                for checkpoint in physical_state_checkpoints
+                if isinstance(checkpoint, Mapping)
+            ]
+            if expected_times != golden_times:
+                raise RegressionManifestError(
+                    f"Variant {case_id!r} physical-state-v2.1 golden checkpoint "
+                    "times differ from manifest."
+                )
+            loaded_physical_state_v21_goldens.setdefault(case_id, {})[
+                lane_name
+            ] = physical_state_golden
+
     _finite_positive(
         execution.get("predictionSafetyFactor", 1.0),
         field="execution.predictionSafetyFactor",
@@ -720,10 +894,14 @@ def load_regression_manifest(path: Path | str) -> dict[str, object]:
     manifest["_manifestPath"] = str(manifest_path)
     manifest["_repositoryRoot"] = str(repository_root)
     manifest["_sourcePath"] = str(source_path)
+    manifest["_referenceArchivePath"] = (
+        str(reference_archive_path) if reference_archive_path is not None else None
+    )
     manifest["_companionPath"] = (
         str(companion_path) if companion_path is not None else None
     )
     manifest["_goldens"] = loaded_goldens
+    manifest["_physicalStateV21Goldens"] = loaded_physical_state_v21_goldens
     return manifest
 
 
@@ -1105,7 +1283,7 @@ def summarize_simulation_result(
         "eventTrace": event_trace,
         "comparisonMode": "numericTolerance",
     }
-    return {
+    summary = {
         "success": bool(result.get("success")),
         "status": result.get("status"),
         "partial": bool(result.get("partial")),
@@ -1126,6 +1304,13 @@ def summarize_simulation_result(
         "diagnostics": dict(diagnostic_mapping),
         "eventTrace": event_trace,
     }
+    if physical_state_v21_applicable(result):
+        summary["physicalStateV21"] = project_physical_state_v21(
+            result,
+            checkpoint_times=checkpoint_times,
+            sample_step=sample_step,
+        )
+    return summary
 
 
 def _worker_control_listener(cancel_event: threading.Event) -> None:
@@ -1666,6 +1851,77 @@ def evaluate_regression_golden(
     return audit
 
 
+def evaluate_physical_state_v21_golden(
+    summary: Mapping[str, object] | None,
+    golden: Mapping[str, object] | None,
+) -> dict[str, object]:
+    """Evaluate the algebraic/discrete v2.1 contract when a manifest pins it."""
+
+    if golden is None:
+        return {
+            "configured": False,
+            "evaluated": False,
+            "passed": None,
+            "issues": [],
+        }
+    provenance = golden.get("provenance")
+    amesim_provenance = (
+        provenance.get("amesim") if isinstance(provenance, Mapping) else None
+    )
+    alignment = golden.get("amesimAlignmentAtGeneration")
+    audit: dict[str, object] = {
+        "configured": True,
+        "evaluated": False,
+        "passed": False,
+        "goldenId": golden.get("id"),
+        "goldenPath": golden.get("_path"),
+        "goldenSha256": golden.get("_sha256"),
+        "amesimArchiveSha256": (
+            amesim_provenance.get("archiveSha256")
+            if isinstance(amesim_provenance, Mapping)
+            else None
+        ),
+        "amesimAlignmentAtGenerationPassed": (
+            alignment.get("passed") if isinstance(alignment, Mapping) else None
+        ),
+        "issues": [],
+        "metrics": [],
+    }
+    if summary is None:
+        audit["issues"] = ["missingSummaryForPhysicalStateV21Golden"]
+        return audit
+    contract = summary.get("physicalStateV21")
+    if not isinstance(contract, Mapping):
+        audit["issues"] = ["missingPhysicalStateV21Contract"]
+        return audit
+    audit["evaluated"] = True
+    try:
+        evaluation = evaluate_physical_state_v21(contract, golden)
+    except PhysicalStateV21Error as exc:
+        audit["issues"] = ["invalidPhysicalStateV21Contract"]
+        audit["error"] = str(exc)
+        return audit
+    audit.update(evaluation)
+    audit.update(
+        {
+            "configured": True,
+            "evaluated": True,
+            "goldenId": golden.get("id"),
+            "goldenPath": golden.get("_path"),
+            "goldenSha256": golden.get("_sha256"),
+            "amesimArchiveSha256": (
+                amesim_provenance.get("archiveSha256")
+                if isinstance(amesim_provenance, Mapping)
+                else None
+            ),
+            "amesimAlignmentAtGenerationPassed": (
+                alignment.get("passed") if isinstance(alignment, Mapping) else None
+            ),
+        }
+    )
+    return audit
+
+
 def _case_correctness_issues(
     result: Mapping[str, object],
     *,
@@ -1827,8 +2083,20 @@ def _case_correctness_issues(
     if isinstance(golden_evaluation, Mapping):
         raw_golden_issues = golden_evaluation.get("issues")
         if isinstance(raw_golden_issues, list):
+            python_golden_role = correctness.get(
+                "pythonGoldenRole", "acceptanceGate"
+            )
+            accepted_issues = (
+                raw_golden_issues
+                if python_golden_role == "acceptanceGate"
+                else [
+                    issue
+                    for issue in raw_golden_issues
+                    if issue in {"missingOutputContract", "outputContractMismatch"}
+                ]
+            )
             issues.extend(
-                str(issue) for issue in raw_golden_issues if isinstance(issue, str)
+                str(issue) for issue in accepted_issues if isinstance(issue, str)
             )
     return tuple(dict.fromkeys(issues))
 
@@ -1912,6 +2180,10 @@ def run_regression_suite(
     assert isinstance(correctness, dict)
     loaded_goldens = manifest.get("_goldens", {})
     assert isinstance(loaded_goldens, dict)
+    loaded_physical_state_v21_goldens = manifest.get(
+        "_physicalStateV21Goldens", {}
+    )
+    assert isinstance(loaded_physical_state_v21_goldens, dict)
 
     case_reports: list[dict[str, object]] = []
     predecessor_completed = True
@@ -1988,6 +2260,45 @@ def run_regression_suite(
             summary if isinstance(summary, Mapping) else None,
             golden if isinstance(golden, Mapping) else None,
         )
+        golden_evaluation["role"] = correctness.get(
+            "pythonGoldenRole", "acceptanceGate"
+        )
+        golden_evaluation["affectsPhysicalCorrectness"] = (
+            correctness.get("pythonGoldenRole", "acceptanceGate")
+            == "acceptanceGate"
+        )
+        raw_python_golden_issues = golden_evaluation.get("issues")
+        golden_evaluation["acceptanceIssues"] = (
+            list(raw_python_golden_issues)
+            if correctness.get("pythonGoldenRole", "acceptanceGate")
+            == "acceptanceGate"
+            and isinstance(raw_python_golden_issues, list)
+            else [
+                issue
+                for issue in (
+                    raw_python_golden_issues
+                    if isinstance(raw_python_golden_issues, list)
+                    else []
+                )
+                if issue in {"missingOutputContract", "outputContractMismatch"}
+            ]
+        )
+        case_physical_state_v21_goldens = loaded_physical_state_v21_goldens.get(
+            case_id, {}
+        )
+        physical_state_v21_golden = (
+            case_physical_state_v21_goldens.get(lane)
+            if isinstance(case_physical_state_v21_goldens, Mapping)
+            else None
+        )
+        physical_state_v21_evaluation = evaluate_physical_state_v21_golden(
+            summary if isinstance(summary, Mapping) else None,
+            (
+                physical_state_v21_golden
+                if isinstance(physical_state_v21_golden, Mapping)
+                else None
+            ),
+        )
         correctness_issues = (
             _case_correctness_issues(
                 result,
@@ -1998,6 +2309,21 @@ def run_regression_suite(
             if solver_completed
             else ()
         )
+        if solver_completed:
+            raw_v21_issues = physical_state_v21_evaluation.get("issues")
+            if isinstance(raw_v21_issues, list):
+                correctness_issues = tuple(
+                    dict.fromkeys(
+                        (
+                            *correctness_issues,
+                            *(
+                                str(issue)
+                                for issue in raw_v21_issues
+                                if isinstance(issue, str)
+                            ),
+                        )
+                    )
+                )
         report = {
             "caseId": case_id,
             "stopTime": stop_time,
@@ -2016,6 +2342,7 @@ def run_regression_suite(
                 "passed": solver_completed and not correctness_issues,
                 "issues": list(correctness_issues),
                 "regressionGolden": golden_evaluation,
+                "physicalStateV21Golden": physical_state_v21_evaluation,
             },
         }
         if solver_completed and correctness_issues:
diff --git a/app/simulation/physical_state_v21.py b/app/simulation/physical_state_v21.py
new file mode 100644
index 0000000..3463df4
--- /dev/null
+++ b/app/simulation/physical_state_v21.py
@@ -0,0 +1,1496 @@
+"""Physical-state-v2.1 projection and AMESim-baseline protocol for test_mql.
+
+AMESim simulation values are the authoritative physical baseline.  Every
+runtime evaluation compares the current projected values directly with that
+baseline and reports the relative error when the AMESim denominator is
+non-zero.  Frozen Python values are retained only as implementation and
+determinism evidence; they are not a physical-correctness authority.
+"""
+
+from __future__ import annotations
+
+import argparse
+from collections.abc import Mapping, Sequence
+from datetime import UTC, datetime
+import hashlib
+import json
+import math
+import os
+from pathlib import Path
+import tarfile
+from typing import Any
+
+
+PHYSICAL_STATE_V21_ID = "physical-state-v2.1"
+PHYSICAL_STATE_V21_SCHEMA_VERSION = 1
+PHYSICAL_STATE_V21_GOLDEN_SCHEMA_VERSION = 1
+AMESIM_REFERENCE_PRESSURE_PA = 101_300.0
+REPOSITORY_ROOT = Path(__file__).resolve().parents[2]
+DEFAULT_AMESIM_ARCHIVE = REPOSITORY_ROOT / "AmesimModels" / "test_mql.ame"
+
+_PNCH_PRESSURE = "amesim_pnch012_8.p"
+_LINE_PRESSURE = "amesim_pnl0001_20.p"
+_LINE_FLOW = "amesim_pnl0001_20.port_1.m_flow"
+_ORIFICE_FLOW = "amesim_pnvo001_5.port_2.m_flow"
+_ORIFICE_OPENING = "amesim_pnvo001_5.xv"
+_NODE_FLOWS = tuple(
+    f"amesim_p4node2_8.port_{index}.m_flow" for index in range(1, 5)
+)
+_ORIFICE_BALANCE_FLOWS = (
+    "amesim_pnvo001_5.port_2.m_flow",
+    "amesim_pnvo001_5.port_3.m_flow",
+)
+_CONNECTION_BALANCE_FLOWS = (
+    "amesim_pnl0001_20.port_1.m_flow",
+    "amesim_pnch012_8.port_1.m_flow",
+)
+_MASS_9_MODE_SOURCES = (
+    "amesim_mecmas21_9.x",
+    "amesim_mecmas21_9.v",
+    "amesim_mecmas21_9.port_1.f",
+    "amesim_mecmas21_9.port_2.f",
+)
+_MASS_10_MODE_SOURCES = (
+    "amesim_mecmas21_10.x",
+    "amesim_mecmas21_10.v",
+    "amesim_mecmas21_10.port_1.f",
+    "amesim_mecmas21_10.port_2.f",
+)
+
+
+class PhysicalStateV21Error(ValueError):
+    """Raised when a projection or golden is incomplete or unauditable."""
+
+
+def _sha256(payload: bytes) -> str:
+    return hashlib.sha256(payload).hexdigest()
+
+
+def _canonical_sha256(value: object) -> str:
+    return _sha256(
+        json.dumps(
+            value,
+            ensure_ascii=False,
+            sort_keys=True,
+            separators=(",", ":"),
+        ).encode("utf-8")
+    )
+
+
+def _valid_sha256(value: object) -> bool:
+    return (
+        isinstance(value, str)
+        and len(value) == 64
+        and all(character in "0123456789abcdef" for character in value)
+    )
+
+
+def _portable_path(path: Path | str) -> str:
+    """Keep repository provenance relocatable while preserving external paths."""
+
+    resolved = Path(path).resolve()
+    try:
+        return resolved.relative_to(REPOSITORY_ROOT).as_posix()
+    except ValueError:
+        return str(resolved)
+
+
+def _finite(value: object, *, field: str) -> float:
+    if not isinstance(value, (int, float)) or not math.isfinite(float(value)):
+        raise PhysicalStateV21Error(f"{field} must be a finite number.")
+    return float(value)
+
+
+def _metadata_and_series(
+    result: Mapping[str, object],
+) -> tuple[dict[str, Mapping[str, object]], Mapping[str, object]]:
+    variables = result.get("variables")
+    series = result.get("series")
+    if not isinstance(variables, list) or not isinstance(series, Mapping):
+        raise PhysicalStateV21Error("Simulation result requires variables and series.")
+    metadata: dict[str, Mapping[str, object]] = {}
+    for index, variable in enumerate(variables):
+        if not isinstance(variable, Mapping) or not isinstance(variable.get("key"), str):
+            raise PhysicalStateV21Error(f"Variable {index} has no string key.")
+        key = str(variable["key"])
+        if key in metadata:
+            raise PhysicalStateV21Error(f"Duplicate result variable key: {key}.")
+        metadata[key] = variable
+    return metadata, series
+
+
+def _require_source(
+    metadata: Mapping[str, Mapping[str, object]],
+    series: Mapping[str, object],
+    key: str,
+    quantity: str,
+    unit: str,
+) -> None:
+    variable = metadata.get(key)
+    if variable is None:
+        raise PhysicalStateV21Error(f"Required v2.1 source is missing: {key}.")
+    if variable.get("quantity") != quantity or variable.get("unit") != unit:
+        raise PhysicalStateV21Error(
+            f"Unexpected metadata for {key}: quantity={variable.get('quantity')!r}, "
+            f"unit={variable.get('unit')!r}; expected {quantity!r}, {unit!r}."
+        )
+    values = series.get(key)
+    if not isinstance(values, Sequence) or isinstance(values, (str, bytes)):
+        raise PhysicalStateV21Error(f"Required v2.1 series is missing: {key}.")
+
+
+def _projection(
+    key: str,
+    category: str,
+    unit: str,
+    sources: Sequence[str],
+    python_formula: str,
+    amesim: Mapping[str, object],
+    *,
+    relative: float,
+    absolute: float,
+) -> dict[str, object]:
+    return {
+        "key": key,
+        "category": category,
+        "unit": unit,
+        "python": {"sourceKeys": list(sources), "formula": python_formula},
+        "amesim": dict(amesim),
+        "tolerance": {"relative": relative, "absolute": absolute},
+    }
+
+
+def _projection_layout(
+    result: Mapping[str, object],
+) -> tuple[dict[str, object], tuple[str, ...]]:
+    metadata, series = _metadata_and_series(result)
+    for key in (_PNCH_PRESSURE, _LINE_PRESSURE):
+        _require_source(metadata, series, key, "pressure", "Pa")
+    for key in set(
+        (
+            _LINE_FLOW,
+            _ORIFICE_FLOW,
+            *_NODE_FLOWS,
+            *_ORIFICE_BALANCE_FLOWS,
+            *_CONNECTION_BALANCE_FLOWS,
+        )
+    ):
+        _require_source(metadata, series, key, "mass_flow", "kg/s")
+    _require_source(metadata, series, _ORIFICE_OPENING, "dimensionless", "")
+    for key in (_MASS_9_MODE_SOURCES[0], _MASS_10_MODE_SOURCES[0]):
+        _require_source(metadata, series, key, "length", "m")
+    for key in (_MASS_9_MODE_SOURCES[1], _MASS_10_MODE_SOURCES[1]):
+        _require_source(metadata, series, key, "velocity", "m/s")
+    for key in (*_MASS_9_MODE_SOURCES[2:], *_MASS_10_MODE_SOURCES[2:]):
+        _require_source(metadata, series, key, "force", "N")
+
+    stored_mass_keys = tuple(
+        sorted(
+            key
+            for key, variable in metadata.items()
+            if variable.get("category") == "state"
+            and variable.get("quantity") == "mass"
+            and variable.get("unit") == "kg"
+        )
+    )
+    if not stored_mass_keys:
+        raise PhysicalStateV21Error("No stored gas-mass states were found.")
+    for key in stored_mass_keys:
+        values = series.get(key)
+        if not isinstance(values, Sequence) or isinstance(values, (str, bytes)):
+            raise PhysicalStateV21Error(f"Stored mass series is missing: {key}.")
+
+    gauge_to_absolute = {
+        "sourceUnit": "Pa (gauge)",
+        "targetUnit": "Pa (absolute)",
+        "formula": "target = source + 101300",
+        "scale": 1.0,
+        "offset": AMESIM_REFERENCE_PRESSURE_PA,
+    }
+    g_s_to_generic = {
+        "sourceUnit": "g/s (AMESim component orientation)",
+        "targetUnit": "kg/s (positive into generic component)",
+        "formula": "target = -source * 1e-3",
+        "scale": -1.0e-3,
+        "offset": 0.0,
+    }
+    projections = [
+        _projection(
+            "pressure.pnch012_8.absolute", "pressure", "Pa", [_PNCH_PRESSURE],
+            "identity", {"dataPaths": ["press@pn_c1_8"], **gauge_to_absolute},
+            relative=2.0e-4, absolute=1.0e-3,
+        ),
+        _projection(
+            "pressure.pnl0001_20.absolute", "pressure", "Pa", [_LINE_PRESSURE],
+            "identity", {"dataPaths": ["p2@pneumatic_69"], **gauge_to_absolute},
+            relative=2.0e-4, absolute=1.0e-3,
+        ),
+        _projection(
+            "massFlow.pnl0001_20.port_1.intoComponent", "massFlow", "kg/s",
+            [_LINE_FLOW], "identity", {"dataPaths": ["dm1@pneumatic_69"], **g_s_to_generic},
+            relative=2.0e-4, absolute=1.0e-9,
+        ),
+        _projection(
+            "massFlow.pnvo001_5.port_2.intoComponent", "massFlow", "kg/s",
+            [_ORIFICE_FLOW], "identity", {"dataPaths": ["dm2@pn_morifice_1"], **g_s_to_generic},
+            relative=2.0e-4, absolute=1.0e-9,
+        ),
+        _projection(
+            "conservation.p4node2_8.massBalance", "conservation", "kg/s",
+            _NODE_FLOWS, "sum",
+            {"dataPaths": [], "note": "AMESim archive has no complete saved four-port tuple."},
+            relative=0.0, absolute=1.0e-9,
+        ),
+        _projection(
+            "conservation.pnvo001_5.massBalance", "conservation", "kg/s",
+            _ORIFICE_BALANCE_FLOWS, "sum",
+            {
+                "dataPaths": ["dm2@pn_morifice_1", "dm3@pn_morifice_1"],
+                "sourceUnit": "g/s", "targetUnit": "kg/s",
+                "formula": "target = -(source1 + source2) * 1e-3",
+            },
+            relative=0.0, absolute=1.0e-9,
+        ),
+        _projection(
+            "conservation.pnl0001_20_pnch012_8.connectionMassBalance",
+            "conservation", "kg/s", _CONNECTION_BALANCE_FLOWS, "sum",
+            {"dataPaths": [], "note": "PNCH012 port flow is not saved; local connector contract is authoritative."},
+            relative=0.0, absolute=1.0e-9,
+        ),
+        _projection(
+            "conservation.totalStoredGasMass", "conservation", "kg",
+            stored_mass_keys, "sum",
+            {
+                "dataPathSelection": "units == 'g' and signal starts with 'mgas'",
+                "sourceUnit": "g", "targetUnit": "kg",
+                "formula": "target = sum(sources) * 1e-3",
+            },
+            relative=2.0e-4, absolute=1.0e-9,
+        ),
+        _projection(
+            "discrete.pnvo001_5.openMode", "discreteMode", "1",
+            [_ORIFICE_OPENING], "1 if opening >= 0.5 else 0",
+            {
+                "dataPaths": ["xv@pn_morifice_1"], "sourceUnit": "1",
+                "targetUnit": "mode code {0,1}", "formula": "1 if source >= 0.5 else 0",
+            },
+            relative=0.0, absolute=0.0,
+        ),
+        _projection(
+            "discrete.mecmas21_9.endstopMode", "discreteMode", "1",
+            _MASS_9_MODE_SOURCES,
+            "-1 lower, 0 free, +1 upper using boundary and net-force direction",
+            {
+                "dataPaths": ["x1@mass_friction_endstops_19", "v1@mass_friction_endstops_19"],
+                "lowerBound": -0.72, "upperBound": 0.0,
+                "note": "No saved AMESim endstop code; reference is boundary occupancy.",
+            },
+            relative=0.0, absolute=0.0,
+        ),
+        _projection(
+            "discrete.mecmas21_10.endstopMode", "discreteMode", "1",
+            _MASS_10_MODE_SOURCES,
+            "-1 lower, 0 free, +1 upper using boundary and net-force direction",
+            {
+                "dataPaths": ["x1@mass_friction_endstops_18", "v1@mass_friction_endstops_18"],
+                "lowerBound": 0.0, "upperBound": 0.37,
+                "note": "No saved AMESim endstop code; reference is boundary occupancy.",
+            },
+            relative=0.0, absolute=0.0,
+        ),
+    ]
+    keys = [str(projection["key"]) for projection in projections]
+    hash_payload = {"projectionKeys": keys, "projections": projections}
+    return {
+        **hash_payload,
+        "projectionLayoutSha256": _canonical_sha256(hash_payload),
+    }, stored_mass_keys
+
+
+def _value_at(series: Mapping[str, object], key: str, index: int) -> float:
+    values = series[key]
+    assert isinstance(values, Sequence)
+    if index >= len(values):
+        raise PhysicalStateV21Error(f"Series {key!r} is short at index {index}.")
+    return _finite(values[index], field=f"series.{key}[{index}]")
+
+
+def _endstop_mode(
+    position: float,
+    velocity: float,
+    force_1: float,
+    force_2: float,
+    lower: float,
+    upper: float,
+) -> float:
+    x_tol = 1.0e-12 * max(abs(position), abs(lower), abs(upper), 1.0)
+    v_tol = 1.0e-12 * max(abs(velocity), 1.0)
+    net_force = force_1 + force_2
+    if position <= lower + x_tol and velocity <= v_tol and net_force <= 0.0:
+        return -1.0
+    if position >= upper - x_tol and velocity >= -v_tol and net_force >= 0.0:
+        return 1.0
+    return 0.0
+
+
+def _project_row(
+    series: Mapping[str, object],
+    index: int,
+    stored_mass_keys: Sequence[str],
+) -> dict[str, float]:
+    mass_9 = [_value_at(series, key, index) for key in _MASS_9_MODE_SOURCES]
+    mass_10 = [_value_at(series, key, index) for key in _MASS_10_MODE_SOURCES]
+    return {
+        "pressure.pnch012_8.absolute": _value_at(series, _PNCH_PRESSURE, index),
+        "pressure.pnl0001_20.absolute": _value_at(series, _LINE_PRESSURE, index),
+        "massFlow.pnl0001_20.port_1.intoComponent": _value_at(series, _LINE_FLOW, index),
+        "massFlow.pnvo001_5.port_2.intoComponent": _value_at(series, _ORIFICE_FLOW, index),
+        "conservation.p4node2_8.massBalance": sum(_value_at(series, key, index) for key in _NODE_FLOWS),
+        "conservation.pnvo001_5.massBalance": sum(_value_at(series, key, index) for key in _ORIFICE_BALANCE_FLOWS),
+        "conservation.pnl0001_20_pnch012_8.connectionMassBalance": sum(
+            _value_at(series, key, index) for key in _CONNECTION_BALANCE_FLOWS
+        ),
+        "conservation.totalStoredGasMass": sum(_value_at(series, key, index) for key in stored_mass_keys),
+        "discrete.pnvo001_5.openMode": float(_value_at(series, _ORIFICE_OPENING, index) >= 0.5),
+        "discrete.mecmas21_9.endstopMode": _endstop_mode(*mass_9, -0.72, 0.0),
+        "discrete.mecmas21_10.endstopMode": _endstop_mode(*mass_10, 0.0, 0.37),
+    }
+
+
+def project_physical_state_v21(
+    result: Mapping[str, object],
+    *,
+    checkpoint_times: Sequence[float],
+    sample_step: float,
+) -> dict[str, object]:
+    """Project pressure, flow, conservation, and discrete-mode checkpoints."""
+
+    if not math.isfinite(float(sample_step)) or float(sample_step) <= 0.0:
+        raise PhysicalStateV21Error("sample_step must be finite and positive.")
+    layout, stored_mass_keys = _projection_layout(result)
+    _metadata, series = _metadata_and_series(result)
+    raw_times = series.get("time")
+    if not isinstance(raw_times, Sequence) or isinstance(raw_times, (str, bytes)):
+        raise PhysicalStateV21Error("Simulation result requires a time series.")
+    times = [_finite(value, field=f"series.time[{index}]") for index, value in enumerate(raw_times)]
+    if not times or any(first >= second for first, second in zip(times, times[1:])):
+        raise PhysicalStateV21Error("Time series must be non-empty and strictly increasing.")
+    keys = layout["projectionKeys"]
+    assert isinstance(keys, list)
+    tolerance = max(1.0e-12, 0.51 * float(sample_step))
+    checkpoints: list[dict[str, object]] = []
+    for raw_requested in checkpoint_times:
+        requested = _finite(raw_requested, field="checkpoint time")
+        index = min(range(len(times)), key=lambda candidate: abs(times[candidate] - requested))
+        actual = times[index]
+        if abs(actual - requested) > tolerance:
+            checkpoints.append({"requestedTime": requested, "available": False, "nearestTime": actual})
+            continue
+        values = _project_row(series, index, stored_mass_keys)
+        if list(values) != keys:
+            raise PhysicalStateV21Error("Internal v2.1 projection layout drifted.")
+        checkpoints.append(
+            {"requestedTime": requested, "actualTime": actual, "available": True, "values": values}
+        )
+    return {
+        "schemaVersion": PHYSICAL_STATE_V21_SCHEMA_VERSION,
+        "id": PHYSICAL_STATE_V21_ID,
+        "projectionCategories": ["pressure", "massFlow", "conservation", "discreteMode"],
+        "layout": layout,
+        "checkpoints": checkpoints,
+        "comparisonMode": "amesimAuthoritativeBaselineWithLocalInvariants",
+    }
+
+
+def physical_state_v21_applicable(result: Mapping[str, object]) -> bool:
+    """Return true only for results carrying the test_mql v2.1 signature."""
+
+    series = result.get("series")
+    return isinstance(series, Mapping) and _PNCH_PRESSURE in series
+
+
+def _amesim_value(results: Any, data_path: str, time_s: float) -> float:
+    from app.simulation.reporting.test_mql_comparison import interpolate_series_value
+
+    if data_path not in results.series_by_data_path:
+        raise PhysicalStateV21Error(f"AMESim is missing Data_Path {data_path!r}.")
+    return interpolate_series_value(results.times, results.series(data_path), time_s)
+
+
+def _amesim_boundary_mode(
+    results: Any,
+    alias: str,
+    time_s: float,
+    lower: float,
+    upper: float,
+) -> float:
+    position = _amesim_value(results, f"x1@{alias}", time_s)
+    velocity = _amesim_value(results, f"v1@{alias}", time_s)
+    tolerance = 1.0e-10 * max(abs(position), abs(lower), abs(upper), 1.0)
+    if abs(velocity) <= 1.0e-10 and position <= lower + tolerance:
+        return -1.0
+    if abs(velocity) <= 1.0e-10 and position >= upper - tolerance:
+        return 1.0
+    return 0.0
+
+
+def _archive_provenance(archive_path: Path) -> dict[str, object]:
+    archive_payload = archive_path.read_bytes()
+    with tarfile.open(archive_path) as archive:
+        names = set(archive.getnames())
+        preferred = ("test_mql_.var", "test_mql_.results")
+        if all(name in names for name in preferred):
+            members = preferred
+        else:
+            pairs = sorted(
+                (name, f"{name[:-4]}.results")
+                for name in names
+                if name.endswith(".var") and f"{name[:-4]}.results" in names
+            )
+            if len(pairs) != 1:
+                raise PhysicalStateV21Error("Could not resolve one AMESim result pair.")
+            members = pairs[0]
+        member_records = []
+        for name in members:
+            extracted = archive.extractfile(name)
+            if extracted is None:
+                raise PhysicalStateV21Error(f"AMESim member is missing: {name}.")
+            payload = extracted.read()
+            member_records.append(
+                {"name": name, "bytes": len(payload), "sha256": _sha256(payload)}
+            )
+    return {
+        "archivePath": _portable_path(archive_path),
+        "archiveBytes": len(archive_payload),
+        "archiveSha256": _sha256(archive_payload),
+        "members": member_records,
+        "referencePressurePa": AMESIM_REFERENCE_PRESSURE_PA,
+        "role": "external calibration reference; not an equality claim",
+    }
+
+
+def build_amesim_reference(
+    archive_path: Path | str,
+    *,
+    checkpoint_times: Sequence[float],
+) -> dict[str, object]:
+    """Return transformed AMESim values with archive/member provenance."""
+
+    # Keep the 132-state legacy model catalog out of benchmark worker startup;
+    # it is needed only by this explicit AMESim-reference operation.
+    from app.simulation.reporting.amesim_results import load_test_mql_amesim_results
+    from app.simulation.reporting.test_mql_variables import (
+        build_test_mql_variable_catalog,
+    )
+
+    path = Path(archive_path).resolve()
+    times = tuple(_finite(value, field="AMESim checkpoint") for value in checkpoint_times)
+    results = load_test_mql_amesim_results(path, time_stop_s=max(times, default=0.0))
+    variable_catalog = build_test_mql_variable_catalog(results)
+    mass_paths = tuple(
+        variable.data_path
+        for variable in variable_catalog.variables
+        if variable.units == "g" and variable.signal_name.startswith("mgas")
+    )
+    if not mass_paths:
+        raise PhysicalStateV21Error("AMESim archive contains no stored gas mass.")
+    checkpoints: list[dict[str, object]] = []
+    for time_s in times:
+        dm2 = _amesim_value(results, "dm2@pn_morifice_1", time_s)
+        dm3 = _amesim_value(results, "dm3@pn_morifice_1", time_s)
+        values: dict[str, float | None] = {
+            "pressure.pnch012_8.absolute": _amesim_value(
+                results, "press@pn_c1_8", time_s
+            ) + AMESIM_REFERENCE_PRESSURE_PA,
+            "pressure.pnl0001_20.absolute": _amesim_value(
+                results, "p2@pneumatic_69", time_s
+            ) + AMESIM_REFERENCE_PRESSURE_PA,
+            "massFlow.pnl0001_20.port_1.intoComponent": -1.0e-3
+            * _amesim_value(results, "dm1@pneumatic_69", time_s),
+            "massFlow.pnvo001_5.port_2.intoComponent": -1.0e-3 * dm2,
+            "conservation.p4node2_8.massBalance": None,
+            "conservation.pnvo001_5.massBalance": -1.0e-3 * (dm2 + dm3),
+            "conservation.pnl0001_20_pnch012_8.connectionMassBalance": None,
+            "conservation.totalStoredGasMass": 1.0e-3
+            * sum(_amesim_value(results, data_path, time_s) for data_path in mass_paths),
+            "discrete.pnvo001_5.openMode": float(
+                _amesim_value(results, "xv@pn_morifice_1", time_s) >= 0.5
+            ),
+            # Generic mass_9 is the 90,000 kg AMESim instance 10 (alias _19).
+            "discrete.mecmas21_9.endstopMode": _amesim_boundary_mode(
+                results, "mass_friction_endstops_19", time_s, -0.72, 0.0
+            ),
+            # Generic mass_10 is the 170,000 kg AMESim instance 9 (alias _18).
+            "discrete.mecmas21_10.endstopMode": _amesim_boundary_mode(
+                results, "mass_friction_endstops_18", time_s, 0.0, 0.37
+            ),
+        }
+        checkpoints.append({"requestedTime": time_s, "values": values})
+    return {
+        "schemaVersion": 1,
+        "provenance": _archive_provenance(path),
+        "storedMassDataPaths": list(mass_paths),
+        "checkpoints": checkpoints,
+    }
+
+
+def _validate_contract(
+    contract: Mapping[str, object],
+    *,
+    require_available: bool = True,
+) -> tuple[list[str], list[Mapping[str, object]]]:
+    if contract.get("schemaVersion") != PHYSICAL_STATE_V21_SCHEMA_VERSION:
+        raise PhysicalStateV21Error("Unsupported v2.1 contract schemaVersion.")
+    if contract.get("id") != PHYSICAL_STATE_V21_ID:
+        raise PhysicalStateV21Error("Unexpected v2.1 contract id.")
+    layout = contract.get("layout")
+    if not isinstance(layout, Mapping):
+        raise PhysicalStateV21Error("v2.1 layout must be an object.")
+    keys = layout.get("projectionKeys")
+    projections = layout.get("projections")
+    if (
+        not isinstance(keys, list)
+        or not keys
+        or not all(isinstance(key, str) and key for key in keys)
+        or len(set(keys)) != len(keys)
+    ):
+        raise PhysicalStateV21Error("Projection keys must be unique strings.")
+    if not isinstance(projections, list) or len(projections) != len(keys):
+        raise PhysicalStateV21Error("Projection metadata layout is invalid.")
+    typed: list[Mapping[str, object]] = []
+    for key, projection in zip(keys, projections):
+        if not isinstance(projection, Mapping) or projection.get("key") != key:
+            raise PhysicalStateV21Error("Projection metadata order is invalid.")
+        tolerance = projection.get("tolerance")
+        if not isinstance(tolerance, Mapping):
+            raise PhysicalStateV21Error(f"Projection {key} has no tolerance.")
+        for field in ("relative", "absolute"):
+            value = _finite(tolerance.get(field), field=f"{key}.tolerance.{field}")
+            if value < 0.0:
+                raise PhysicalStateV21Error("Projection tolerance cannot be negative.")
+        typed.append(projection)
+    hash_payload = {"projectionKeys": keys, "projections": projections}
+    if layout.get("projectionLayoutSha256") != _canonical_sha256(hash_payload):
+        raise PhysicalStateV21Error("Projection layout hash mismatch.")
+    checkpoints = contract.get("checkpoints")
+    if not isinstance(checkpoints, list) or not checkpoints:
+        raise PhysicalStateV21Error("v2.1 contract requires checkpoints.")
+    for checkpoint in checkpoints:
+        if not isinstance(checkpoint, Mapping):
+            raise PhysicalStateV21Error("v2.1 checkpoint must be an object.")
+        if not checkpoint.get("available"):
+            if require_available:
+                raise PhysicalStateV21Error("Every golden checkpoint must be available.")
+            continue
+        _finite(checkpoint.get("requestedTime"), field="checkpoint.requestedTime")
+        _finite(checkpoint.get("actualTime"), field="checkpoint.actualTime")
+        values = checkpoint.get("values")
+        if not isinstance(values, Mapping) or list(values) != keys:
+            raise PhysicalStateV21Error("Checkpoint values do not match layout.")
+        for key in keys:
+            _finite(values[key], field=f"checkpoint.values.{key}")
+    return keys, typed
+
+
+def _case_summary(
+    report: Mapping[str, object],
+    *,
+    case_id: str,
+    lane: str,
+) -> Mapping[str, object]:
+    cases = report.get("cases")
+    if not isinstance(cases, list):
+        raise PhysicalStateV21Error("Regression report cases must be a list.")
+    matches = [
+        case
+        for case in cases
+        if isinstance(case, Mapping)
+        and case.get("caseId") == case_id
+        and case.get("lane") == lane
+    ]
+    if len(matches) != 1:
+        raise PhysicalStateV21Error(
+            f"Expected one {case_id!r}/{lane!r} case, found {len(matches)}."
+        )
+    worker = matches[0].get("worker")
+    summary = worker.get("summary") if isinstance(worker, Mapping) else None
+    if not isinstance(summary, Mapping):
+        raise PhysicalStateV21Error("Regression case has no worker summary.")
+    return summary
+
+
+def _case_contract(
+    report: Mapping[str, object],
+    *,
+    case_id: str,
+    lane: str,
+) -> Mapping[str, object]:
+    summary = _case_summary(report, case_id=case_id, lane=lane)
+    contract = summary.get("physicalStateV21")
+    if not isinstance(contract, Mapping):
+        raise PhysicalStateV21Error(
+            "Report has no physicalStateV21 contract; regenerate it with v2.1 enabled."
+        )
+    return contract
+
+
+def _final_result_from_summary(summary: Mapping[str, object]) -> dict[str, object]:
+    """Adapt a pre-v2.1 report's final map for one honest endpoint assessment."""
+
+    final = summary.get("final")
+    simulated_until = summary.get("simulatedUntil")
+    if not isinstance(final, Mapping):
+        raise PhysicalStateV21Error("Legacy report summary has no final values.")
+    time_s = _finite(simulated_until, field="summary.simulatedUntil")
+    required = {
+        _PNCH_PRESSURE: ("pressure", "Pa", "thermodynamic"),
+        _LINE_PRESSURE: ("pressure", "Pa", "thermodynamic"),
+        _LINE_FLOW: ("mass_flow", "kg/s", "port"),
+        _ORIFICE_FLOW: ("mass_flow", "kg/s", "port"),
+        _ORIFICE_OPENING: ("dimensionless", "", "derived"),
+        **{key: ("mass_flow", "kg/s", "port") for key in _NODE_FLOWS},
+        **{key: ("mass_flow", "kg/s", "port") for key in _ORIFICE_BALANCE_FLOWS},
+        **{key: ("mass_flow", "kg/s", "port") for key in _CONNECTION_BALANCE_FLOWS},
+        _MASS_9_MODE_SOURCES[0]: ("length", "m", "state"),
+        _MASS_9_MODE_SOURCES[1]: ("velocity", "m/s", "state"),
+        _MASS_9_MODE_SOURCES[2]: ("force", "N", "port"),
+        _MASS_9_MODE_SOURCES[3]: ("force", "N", "port"),
+        _MASS_10_MODE_SOURCES[0]: ("length", "m", "state"),
+        _MASS_10_MODE_SOURCES[1]: ("velocity", "m/s", "state"),
+        _MASS_10_MODE_SOURCES[2]: ("force", "N", "port"),
+        _MASS_10_MODE_SOURCES[3]: ("force", "N", "port"),
+    }
+    mass_keys = sorted(
+        key
+        for key in final
+        if isinstance(key, str)
+        and (key.endswith(".m") or key.endswith(".m1") or key.endswith(".m2"))
+    )
+    variables = []
+    series: dict[str, list[float]] = {"time": [time_s]}
+    for key, (quantity, unit, category) in required.items():
+        if key not in final:
+            raise PhysicalStateV21Error(f"Legacy final map is missing {key}.")
+        variables.append({"key": key, "quantity": quantity, "unit": unit, "category": category})
+        series[key] = [_finite(final[key], field=f"summary.final.{key}")]
+    for key in mass_keys:
+        variables.append({"key": key, "quantity": "mass", "unit": "kg", "category": "state"})
+        series[key] = [_finite(final[key], field=f"summary.final.{key}")]
+    return {"variables": variables, "series": series}
+
+
+def project_report_endpoint_v21(
+    report: Mapping[str, object],
+    *,
+    case_id: str = "0.2s",
+    lane: str = "production",
+) -> dict[str, object]:
+    """Project the endpoint of a report produced before v2.1 was connected."""
+
+    summary = _case_summary(report, case_id=case_id, lane=lane)
+    result = _final_result_from_summary(summary)
+    time_s = float(summary["simulatedUntil"])
+    return project_physical_state_v21(
+        result, checkpoint_times=(time_s,), sample_step=max(time_s, 1.0e-12)
+    )
+
+
+def compare_contract_to_amesim(
+    contract: Mapping[str, object],
+    amesim_reference: Mapping[str, object],
+) -> dict[str, object]:
+    """Compare every projection with the authoritative AMESim baseline.
+
+    AMESim may not expose every internal conservation quantity.  Those rows are
+    retained in ``metrics`` with an unavailable baseline instead of being
+    silently discarded.  A zero AMESim baseline has no mathematically defined
+    relative error, so the report records ``None`` and relies on the declared
+    absolute tolerance for the pass/fail decision.
+    """
+
+    keys, projections = _validate_contract(contract)
+    checkpoints = contract["checkpoints"]
+    references = amesim_reference.get("checkpoints")
+    if not isinstance(checkpoints, list) or not isinstance(references, list):
+        raise PhysicalStateV21Error("AMESim comparison checkpoints are missing.")
+    if len(checkpoints) != len(references):
+        raise PhysicalStateV21Error("AMESim checkpoint count differs from contract.")
+    # This is an external alignment profile, deliberately distinct from the
+    # tighter local non-regression tolerances embedded in the projection layout.
+    external_tolerance = {
+        "pressure": {"relative": 2.0e-3, "absolute": 1.0e-3},
+        "massFlow": {"relative": 2.0e-3, "absolute": 1.0e-9},
+        "conservation": {"relative": 2.0e-3, "absolute": 1.0e-9},
+        "discreteMode": {"relative": 0.0, "absolute": 0.0},
+    }
+    compared = 0
+    available = 0
+    unavailable = 0
+    excluded = 0
+    issues: list[str] = []
+    metrics: list[dict[str, object]] = []
+    worst: dict[str, object] | None = None
+    max_ratio = 0.0
+    worst_relative: dict[str, object] | None = None
+    max_relative_error: float | None = None
+    max_recorded_relative_error: float | None = None
+    for checkpoint, reference in zip(checkpoints, references):
+        assert isinstance(checkpoint, Mapping) and isinstance(reference, Mapping)
+        actual_values = checkpoint["values"]
+        reference_values = reference.get("values")
+        assert isinstance(actual_values, Mapping) and isinstance(reference_values, Mapping)
+        for key, projection in zip(keys, projections):
+            actual = float(actual_values[key])
+            requested_time = float(checkpoint["requestedTime"])
+            category = str(projection["category"])
+            expected = reference_values.get(key)
+            if expected is None:
+                unavailable += 1
+                metrics.append(
+                    {
+                        "requestedTime": requested_time,
+                        "key": key,
+                        "category": category,
+                        "actual": actual,
+                        "amesimBaseline": None,
+                        "absoluteError": None,
+                        "relativeError": None,
+                        "relativeErrorPercent": None,
+                        "relativeErrorDefined": False,
+                        "relativeErrorReason": "amesimBaselineUnavailable",
+                        "allowedError": None,
+                        "toleranceRatio": None,
+                        "unboundedToleranceRatio": False,
+                        "comparisonBasis": "localInvariantOnly",
+                        "evaluated": False,
+                        "passed": None,
+                        "exclusionReason": "amesimBaselineUnavailable",
+                    }
+                )
+                continue
+            available += 1
+            expected_numeric = float(expected)
+            tolerance = external_tolerance[category]
+            allowed = tolerance["absolute"] + tolerance["relative"] * abs(expected_numeric)
+            error = abs(actual - expected_numeric)
+            ratio = error / allowed if allowed > 0.0 else (0.0 if error == 0.0 else math.inf)
+            relative_error = (
+                None if expected_numeric == 0.0 else error / abs(expected_numeric)
+            )
+            relative_error_percent = (
+                None if relative_error is None else 100.0 * relative_error
+            )
+            near_zero_threshold = (
+                tolerance["absolute"] / tolerance["relative"]
+                if tolerance["relative"] > 0.0
+                else 0.0
+            )
+            if category == "discreteMode":
+                comparison_basis = "exactMatch"
+            elif expected_numeric == 0.0 or abs(expected_numeric) <= near_zero_threshold:
+                comparison_basis = "absoluteNearZero"
+            else:
+                comparison_basis = "mixedAbsoluteRelativeTolerance"
+            excluded_at_signal_jump = category == "massFlow" and math.isclose(
+                requested_time, 0.04, rel_tol=0.0, abs_tol=1.0e-12
+            )
+            metric = {
+                "requestedTime": requested_time,
+                "key": key,
+                "category": category,
+                "actual": actual,
+                "amesimBaseline": expected_numeric,
+                "absoluteError": error,
+                "relativeError": relative_error,
+                "relativeErrorPercent": relative_error_percent,
+                "relativeErrorDefined": relative_error is not None,
+                "relativeErrorReason": (
+                    None if relative_error is not None else "zeroAmesimBaseline"
+                ),
+                "allowedError": allowed,
+                "toleranceRatio": ratio if math.isfinite(ratio) else None,
+                "unboundedToleranceRatio": not math.isfinite(ratio),
+                "nearZeroThreshold": near_zero_threshold,
+                "comparisonBasis": comparison_basis,
+            }
+            if relative_error is not None and (
+                max_recorded_relative_error is None
+                or relative_error > max_recorded_relative_error
+            ):
+                max_recorded_relative_error = relative_error
+            if excluded_at_signal_jump:
+                excluded += 1
+                metric.update(
+                    {
+                        "evaluated": False,
+                        "passed": None,
+                        "exclusionReason": (
+                            "signalDiscontinuityLeftRightLimitSemanticsNotComparableAt0.04s"
+                        ),
+                    }
+                )
+                metrics.append(metric)
+                continue
+            metric.update({"evaluated": True, "passed": ratio <= 1.0})
+            metrics.append(metric)
+            compared += 1
+            if ratio > max_ratio:
+                max_ratio = ratio
+                worst = metric
+            if relative_error is not None and (
+                max_relative_error is None or relative_error > max_relative_error
+            ):
+                max_relative_error = relative_error
+                worst_relative = metric
+            if ratio > 1.0:
+                issues.append("amesimReferenceToleranceMismatch")
+    deduplicated = list(dict.fromkeys(issues))
+    return {
+        "passed": not deduplicated,
+        "issues": deduplicated,
+        "baselineAuthority": "amesim",
+        "metricCount": len(metrics),
+        "availableBaselineValueCount": available,
+        "unavailableBaselineValueCount": unavailable,
+        "comparedValueCount": compared,
+        "excludedValueCount": excluded,
+        "maxToleranceRatio": (
+            max_ratio if compared and math.isfinite(max_ratio) else None
+        ),
+        "maxToleranceRatioUnbounded": bool(compared and not math.isfinite(max_ratio)),
+        "worstValue": worst,
+        "maxRelativeError": max_relative_error,
+        "maxRelativeErrorPercent": (
+            None if max_relative_error is None else 100.0 * max_relative_error
+        ),
+        "worstRelativeErrorValue": worst_relative,
+        "maxRecordedRelativeError": max_recorded_relative_error,
+        "maxRecordedRelativeErrorPercent": (
+            None
+            if max_recorded_relative_error is None
+            else 100.0 * max_recorded_relative_error
+        ),
+        "metrics": metrics,
+        "toleranceProfile": {
+            "id": "amesim-alignment-reviewed-v1",
+            "byCategory": external_tolerance,
+            "basis": (
+                "0.2% relative envelope for AMESim pressure/flow/inventory alignment; "
+                "conservation retains a 1e-9 absolute floor and discrete modes are exact."
+            ),
+            "exclusions": [
+                {
+                    "requestedTime": 0.04,
+                    "category": "massFlow",
+                    "reason": (
+                        "The Python and AMESim samples at the signal discontinuity may "
+                        "represent different left/right limits. Raw errors remain recorded."
+                    ),
+                }
+            ],
+        },
+        "policy": (
+            "AMESim simulation values are the authoritative physical baseline and "
+            "are compared on every run; unavailable AMESim quantities remain "
+            "separate local-invariant checks."
+        ),
+    }
+
+
+def build_candidate_golden(
+    report_path: Path | str,
+    *,
+    archive_path: Path | str = DEFAULT_AMESIM_ARCHIVE,
+    case_id: str = "0.2s",
+    lane: str = "production",
+    golden_id: str | None = None,
+) -> dict[str, object]:
+    """Build an unapproved candidate from a report containing full v2.1 data."""
+
+    source_path = Path(report_path).resolve()
+    payload = source_path.read_bytes()
+    try:
+        report = json.loads(payload)
+    except json.JSONDecodeError as exc:
+        raise PhysicalStateV21Error(f"Regression report is invalid JSON: {exc}") from exc
+    if not isinstance(report, Mapping):
+        raise PhysicalStateV21Error("Regression report must be an object.")
+    contract = _case_contract(report, case_id=case_id, lane=lane)
+    keys, _projections = _validate_contract(contract)
+    checkpoints = contract["checkpoints"]
+    assert isinstance(checkpoints, list)
+    times = [float(checkpoint["requestedTime"]) for checkpoint in checkpoints]
+    amesim = build_amesim_reference(archive_path, checkpoint_times=times)
+    references = amesim["checkpoints"]
+    assert isinstance(references, list)
+    source = report.get("source")
+    source_sha = source.get("sha256") if isinstance(source, Mapping) else None
+    if not isinstance(source_sha, str) or len(source_sha) != 64:
+        raise PhysicalStateV21Error("Report source SHA-256 is missing.")
+    frozen = []
+    for checkpoint, reference in zip(checkpoints, references):
+        assert isinstance(checkpoint, Mapping) and isinstance(reference, Mapping)
+        values = checkpoint["values"]
+        reference_values = reference["values"]
+        assert isinstance(values, Mapping) and isinstance(reference_values, Mapping)
+        frozen.append(
+            {
+                "requestedTime": checkpoint["requestedTime"],
+                "values": [values[key] for key in keys],
+                "amesimReferenceValues": [reference_values[key] for key in keys],
+            }
+        )
+    layout = contract["layout"]
+    assert isinstance(layout, Mapping)
+    alignment = compare_contract_to_amesim(contract, amesim)
+    return {
+        "schemaVersion": PHYSICAL_STATE_V21_GOLDEN_SCHEMA_VERSION,
+        "id": golden_id
+        or f"test_mql_8-{lane}-{case_id}-{PHYSICAL_STATE_V21_ID}-candidate",
+        "contractId": PHYSICAL_STATE_V21_ID,
+        "caseId": case_id,
+        "lane": lane,
+        "sourceXmlSha256": source_sha,
+        "approval": {
+            "status": "candidate",
+            "generatedAt": datetime.now(UTC).isoformat(),
+            "warning": "The correctness gate rejects this file until explicit approval.",
+        },
+        "provenance": {
+            "localSourceReport": {
+                "path": _portable_path(source_path),
+                "bytes": len(payload),
+                "sha256": _sha256(payload),
+                "generatedAt": report.get("generatedAt"),
+            },
+            "amesim": amesim["provenance"],
+            "amesimStoredMassDataPaths": amesim["storedMassDataPaths"],
+            "comparisonPolicy": (
+                "Transformed AMESim values are the authoritative physical baseline; "
+                "local Python values are retained only for deterministic and "
+                "implementation-regression diagnostics."
+            ),
+        },
+        "layout": dict(layout),
+        "checkpoints": frozen,
+        "amesimAlignmentAtGeneration": alignment,
+    }
+
+
+def _exclusive_json_write(path: Path | str, value: object) -> Path:
+    output = Path(path).resolve()
+    output.parent.mkdir(parents=True, exist_ok=True)
+    serialized = json.dumps(
+        value, ensure_ascii=False, indent=2, allow_nan=False
+    ) + "\n"
+    try:
+        descriptor = os.open(output, os.O_WRONLY | os.O_CREAT | os.O_EXCL, 0o644)
+    except FileExistsError as exc:
+        raise PhysicalStateV21Error(f"Refusing to overwrite {output}.") from exc
+    try:
+        with os.fdopen(descriptor, "w", encoding="utf-8") as handle:
+            handle.write(serialized)
+    except BaseException:
+        output.unlink(missing_ok=True)
+        raise
+    return output
+
+
+def write_candidate_golden(
+    report_path: Path | str,
+    output_path: Path | str,
+    **kwargs: object,
+) -> Path:
+    return _exclusive_json_write(
+        output_path,
+        build_candidate_golden(report_path, **kwargs),
+    )
+
+
+def _validate_golden(
+    golden: Mapping[str, object],
+    *,
+    allowed_status: str = "approved",
+) -> tuple[list[str], list[Mapping[str, object]]]:
+    if golden.get("schemaVersion") != PHYSICAL_STATE_V21_GOLDEN_SCHEMA_VERSION:
+        raise PhysicalStateV21Error("Unsupported v2.1 golden schemaVersion.")
+    if golden.get("contractId") != PHYSICAL_STATE_V21_ID:
+        raise PhysicalStateV21Error("Golden contract id is invalid.")
+    for field in ("id", "caseId", "lane"):
+        if not isinstance(golden.get(field), str) or not golden[field]:
+            raise PhysicalStateV21Error(f"Golden {field} must be non-empty.")
+    if not _valid_sha256(golden.get("sourceXmlSha256")):
+        raise PhysicalStateV21Error("Golden source XML SHA-256 is invalid.")
+    approval = golden.get("approval")
+    if not isinstance(approval, Mapping) or approval.get("status") != allowed_status:
+        raise PhysicalStateV21Error(
+            f"Golden approval.status must be {allowed_status!r}."
+        )
+    provenance = golden.get("provenance")
+    amesim = provenance.get("amesim") if isinstance(provenance, Mapping) else None
+    local_report = (
+        provenance.get("localSourceReport")
+        if isinstance(provenance, Mapping)
+        else None
+    )
+    if (
+        not isinstance(local_report, Mapping)
+        or not isinstance(local_report.get("path"), str)
+        or not local_report["path"]
+        or not isinstance(local_report.get("bytes"), int)
+        or int(local_report["bytes"]) <= 0
+        or not _valid_sha256(local_report.get("sha256"))
+    ):
+        raise PhysicalStateV21Error("Golden local report provenance is invalid.")
+    if (
+        not isinstance(amesim, Mapping)
+        or not isinstance(amesim.get("archivePath"), str)
+        or not amesim["archivePath"]
+        or not isinstance(amesim.get("archiveBytes"), int)
+        or int(amesim["archiveBytes"]) <= 0
+        or not _valid_sha256(amesim.get("archiveSha256"))
+    ):
+        raise PhysicalStateV21Error("Golden AMESim archive provenance is invalid.")
+    members = amesim.get("members")
+    if not isinstance(members, list) or len(members) != 2:
+        raise PhysicalStateV21Error("Golden AMESim member provenance is incomplete.")
+    member_names = []
+    for member in members:
+        if (
+            not isinstance(member, Mapping)
+            or not isinstance(member.get("name"), str)
+            or not _valid_sha256(member.get("sha256"))
+            or not isinstance(member.get("bytes"), int)
+            or int(member["bytes"]) <= 0
+        ):
+            raise PhysicalStateV21Error("Golden AMESim member provenance is invalid.")
+        member_names.append(str(member["name"]))
+    if not any(name.endswith(".var") for name in member_names) or not any(
+        name.endswith(".results") for name in member_names
+    ):
+        raise PhysicalStateV21Error("Golden AMESim provenance lacks .var/.results members.")
+    layout = golden.get("layout")
+    keys = layout.get("projectionKeys") if isinstance(layout, Mapping) else None
+    checkpoints = golden.get("checkpoints")
+    if not isinstance(keys, list) or not isinstance(checkpoints, list) or not checkpoints:
+        raise PhysicalStateV21Error("Golden layout/checkpoints are incomplete.")
+    contract_checkpoints = []
+    for checkpoint in checkpoints:
+        if not isinstance(checkpoint, Mapping):
+            raise PhysicalStateV21Error("Golden checkpoint must be an object.")
+        values = checkpoint.get("values")
+        references = checkpoint.get("amesimReferenceValues")
+        if not isinstance(values, list) or len(values) != len(keys):
+            raise PhysicalStateV21Error("Golden values have the wrong layout.")
+        if not isinstance(references, list) or len(references) != len(keys):
+            raise PhysicalStateV21Error("AMESim references have the wrong layout.")
+        for index, value in enumerate(values):
+            _finite(value, field=f"golden.values[{index}]")
+        for index, value in enumerate(references):
+            if value is not None:
+                _finite(value, field=f"golden.amesimReferenceValues[{index}]")
+        contract_checkpoints.append(
+            {
+                "requestedTime": checkpoint.get("requestedTime"),
+                "actualTime": checkpoint.get("requestedTime"),
+                "available": True,
+                "values": dict(zip(keys, values)),
+            }
+        )
+    synthetic_contract = {
+        "schemaVersion": PHYSICAL_STATE_V21_SCHEMA_VERSION,
+        "id": PHYSICAL_STATE_V21_ID,
+        "layout": layout,
+        "checkpoints": contract_checkpoints,
+    }
+    return _validate_contract(synthetic_contract)
+
+
+def _validate_candidate_approval(
+    candidate: Mapping[str, object],
+    keys: Sequence[str],
+    projections: Sequence[Mapping[str, object]],
+) -> None:
+    """Fail closed before promoting an externally aligned local candidate."""
+
+    alignment = candidate.get("amesimAlignmentAtGeneration")
+    if not isinstance(alignment, Mapping) or alignment.get("passed") is not True:
+        raise PhysicalStateV21Error(
+            "Candidate AMESim alignment at generation must have passed."
+        )
+    metrics = alignment.get("metrics")
+    if not isinstance(metrics, list):
+        raise PhysicalStateV21Error("Candidate AMESim alignment metrics are invalid.")
+    evaluated_count = 0
+    for index, metric in enumerate(metrics):
+        if not isinstance(metric, Mapping):
+            raise PhysicalStateV21Error(
+                f"Candidate AMESim alignment metric {index} is invalid."
+            )
+        evaluated = metric.get("evaluated")
+        if evaluated is True:
+            evaluated_count += 1
+            if metric.get("passed") is not True:
+                raise PhysicalStateV21Error(
+                    f"Candidate AMESim evaluated metric {index} did not pass."
+                )
+        elif evaluated is False:
+            exclusion_reason = metric.get("exclusionReason")
+            if (
+                metric.get("passed") is not None
+                or not isinstance(exclusion_reason, str)
+                or not exclusion_reason.strip()
+            ):
+                raise PhysicalStateV21Error(
+                    f"Candidate AMESim excluded metric {index} is not auditable."
+                )
+        else:
+            raise PhysicalStateV21Error(
+                f"Candidate AMESim alignment metric {index} lacks evaluated status."
+            )
+    if evaluated_count <= 0 or alignment.get("comparedValueCount") != evaluated_count:
+        raise PhysicalStateV21Error(
+            "Candidate AMESim comparedValueCount does not match evaluated metrics."
+        )
+
+    residual_indices: list[tuple[int, str, float]] = []
+    for index, (key, projection) in enumerate(zip(keys, projections)):
+        if (
+            projection.get("category") != "conservation"
+            or projection.get("unit") != "kg/s"
+        ):
+            continue
+        tolerance = projection.get("tolerance")
+        assert isinstance(tolerance, Mapping)
+        absolute = _finite(
+            tolerance.get("absolute"), field=f"{key}.tolerance.absolute"
+        )
+        residual_indices.append((index, key, absolute))
+    checkpoints = candidate.get("checkpoints")
+    assert isinstance(checkpoints, list)
+    for checkpoint_index, checkpoint in enumerate(checkpoints):
+        assert isinstance(checkpoint, Mapping)
+        values = checkpoint.get("values")
+        assert isinstance(values, list)
+        for value_index, key, absolute in residual_indices:
+            residual = abs(
+                _finite(
+                    values[value_index],
+                    field=f"golden.checkpoints[{checkpoint_index}].{key}",
+                )
+            )
+            if residual > absolute:
+                raise PhysicalStateV21Error(
+                    f"Candidate local conservation residual {key} at checkpoint "
+                    f"{checkpoint_index} is {residual}, exceeding {absolute}."
+                )
+
+
+def approve_candidate_golden(
+    candidate_path: Path | str,
+    output_path: Path | str,
+    *,
+    expected_candidate_sha256: str,
+    reviewed_by: str,
+    note: str,
+) -> Path:
+    """Approve an exact candidate hash into a new file, never in place."""
+
+    path = Path(candidate_path).resolve()
+    payload = path.read_bytes()
+    actual_sha = _sha256(payload)
+    if actual_sha != expected_candidate_sha256:
+        raise PhysicalStateV21Error(
+            f"Candidate SHA mismatch: expected {expected_candidate_sha256}, got {actual_sha}."
+        )
+    candidate = json.loads(payload)
+    if not isinstance(candidate, dict):
+        raise PhysicalStateV21Error("Candidate must be an object.")
+    keys, projections = _validate_golden(candidate, allowed_status="candidate")
+    _validate_candidate_approval(candidate, keys, projections)
+    if not reviewed_by.strip() or not note.strip():
+        raise PhysicalStateV21Error("Approval requires reviewer and note.")
+    approved = dict(candidate)
+    approved["approval"] = {
+        "status": "approved",
+        "approvedAt": datetime.now(UTC).isoformat(),
+        "reviewedBy": reviewed_by.strip(),
+        "note": note.strip(),
+        "candidatePath": _portable_path(path),
+        "candidateSha256": actual_sha,
+    }
+    return _exclusive_json_write(output_path, approved)
+
+
+def load_approved_golden(path: Path | str) -> dict[str, object]:
+    golden_path = Path(path).resolve()
+    payload = golden_path.read_bytes()
+    try:
+        golden = json.loads(payload)
+    except json.JSONDecodeError as exc:
+        raise PhysicalStateV21Error(f"Golden is invalid JSON: {exc}") from exc
+    if not isinstance(golden, dict):
+        raise PhysicalStateV21Error("Golden must be an object.")
+    _validate_golden(golden)
+    golden["_path"] = str(golden_path)
+    golden["_sha256"] = _sha256(payload)
+    return golden
+
+
+def evaluate_physical_state_v21(
+    contract: Mapping[str, object],
+    golden: Mapping[str, object],
+) -> dict[str, object]:
+    """Evaluate a v2.1 contract against frozen AMESim reference values.
+
+    The approved artifact pins AMESim provenance, layout, checkpoint times, and
+    transformed AMESim values.  Its frozen Python values are intentionally not
+    used as the physical baseline.
+    """
+
+    keys, projections = _validate_contract(contract)
+    golden_keys, _ = _validate_golden(golden)
+    if keys != golden_keys:
+        return {
+            "passed": False,
+            "issues": ["physicalStateV21LayoutMismatch"],
+            "comparedValueCount": 0,
+        }
+    actual_checkpoints = contract["checkpoints"]
+    expected_checkpoints = golden["checkpoints"]
+    assert isinstance(actual_checkpoints, list) and isinstance(expected_checkpoints, list)
+    if len(actual_checkpoints) != len(expected_checkpoints):
+        return {
+            "passed": False,
+            "issues": ["physicalStateV21CheckpointCountMismatch"],
+            "comparedValueCount": 0,
+        }
+    issues: list[str] = []
+    reference_checkpoints: list[dict[str, object]] = []
+    invariant_metrics: list[dict[str, object]] = []
+    invariant_max_ratio = 0.0
+    invariant_worst: dict[str, object] | None = None
+    for actual_checkpoint, expected_checkpoint in zip(actual_checkpoints, expected_checkpoints):
+        assert isinstance(actual_checkpoint, Mapping) and isinstance(expected_checkpoint, Mapping)
+        requested = float(expected_checkpoint["requestedTime"])
+        if not math.isclose(
+            float(actual_checkpoint["requestedTime"]),
+            requested,
+            rel_tol=0.0,
+            abs_tol=1.0e-12,
+        ) or not math.isclose(
+            float(actual_checkpoint["actualTime"]),
+            requested,
+            rel_tol=0.0,
+            abs_tol=1.0e-12,
+        ):
+            issues.append("physicalStateV21CheckpointTimeMismatch")
+        actual_values = actual_checkpoint["values"]
+        amesim_values = expected_checkpoint["amesimReferenceValues"]
+        assert isinstance(actual_values, Mapping) and isinstance(amesim_values, list)
+        reference_values = dict(zip(keys, amesim_values))
+        reference_checkpoints.append(
+            {"requestedTime": requested, "values": reference_values}
+        )
+        for key, projection, amesim_baseline in zip(
+            keys, projections, amesim_values
+        ):
+            if amesim_baseline is not None:
+                continue
+            actual = float(actual_values[key])
+            tolerance = projection["tolerance"]
+            assert isinstance(tolerance, Mapping)
+            allowed = float(tolerance["absolute"])
+            error = abs(actual)
+            ratio = error / allowed if allowed > 0.0 else (0.0 if error == 0.0 else math.inf)
+            metric = {
+                "requestedTime": requested,
+                "key": key,
+                "category": projection["category"],
+                "actual": actual,
+                "amesimBaseline": None,
+                "invariantTarget": 0.0,
+                "absoluteError": error,
+                "relativeError": None,
+                "relativeErrorPercent": None,
+                "relativeErrorDefined": False,
+                "relativeErrorReason": "amesimBaselineUnavailable",
+                "allowedError": allowed,
+                "toleranceRatio": ratio if math.isfinite(ratio) else None,
+                "unboundedToleranceRatio": not math.isfinite(ratio),
+                "comparisonBasis": "localInvariantAbsoluteTolerance",
+                "passed": ratio <= 1.0,
+            }
+            invariant_metrics.append(metric)
+            if ratio > invariant_max_ratio:
+                invariant_max_ratio = ratio
+                invariant_worst = metric
+            if ratio > 1.0:
+                issues.append("physicalStateV21LocalInvariantMismatch")
+    comparison = compare_contract_to_amesim(
+        contract,
+        {"schemaVersion": 1, "checkpoints": reference_checkpoints},
+    )
+    raw_comparison_issues = comparison.get("issues")
+    if isinstance(raw_comparison_issues, list):
+        issues.extend(
+            str(issue)
+            for issue in raw_comparison_issues
+            if isinstance(issue, str)
+        )
+    deduplicated = list(dict.fromkeys(issues))
+    provenance = golden.get("provenance")
+    amesim_provenance = (
+        provenance.get("amesim") if isinstance(provenance, Mapping) else None
+    )
+    result = dict(comparison)
+    result.update({
+        "passed": not deduplicated,
+        "issues": deduplicated,
+        "baselineAuthority": "amesim",
+        "baselineSource": "approvedArtifact.amesimReferenceValues",
+        "amesimProvenance": (
+            dict(amesim_provenance)
+            if isinstance(amesim_provenance, Mapping)
+            else None
+        ),
+        "pythonSnapshotRole": "determinismDiagnosticOnly",
+        "localInvariants": {
+            "passed": not any(
+                metric["passed"] is False for metric in invariant_metrics
+            ),
+            "metricCount": len(invariant_metrics),
+            "maxToleranceRatio": (
+                invariant_max_ratio
+                if invariant_metrics and math.isfinite(invariant_max_ratio)
+                else None
+            ),
+            "maxToleranceRatioUnbounded": bool(
+                invariant_metrics and not math.isfinite(invariant_max_ratio)
+            ),
+            "worstValue": invariant_worst,
+            "metrics": invariant_metrics,
+        },
+        "goldenPath": golden.get("_path"),
+        "goldenSha256": golden.get("_sha256"),
+    })
+    return result
+
+
+def assess_report_against_amesim(
+    report_path: Path | str,
+    *,
+    archive_path: Path | str = DEFAULT_AMESIM_ARCHIVE,
+    case_id: str = "0.2s",
+    lane: str = "production",
+) -> dict[str, object]:
+    """Assess a full or pre-v2.1 report and expose every comparable error."""
+
+    path = Path(report_path).resolve()
+    payload = path.read_bytes()
+    report = json.loads(payload)
+    if not isinstance(report, Mapping):
+        raise PhysicalStateV21Error("Report must be an object.")
+    summary = _case_summary(report, case_id=case_id, lane=lane)
+    if isinstance(summary.get("physicalStateV21"), Mapping):
+        contract = summary["physicalStateV21"]
+        coverage = "fullCheckpoints"
+    else:
+        contract = project_report_endpoint_v21(report, case_id=case_id, lane=lane)
+        coverage = "legacyEndpointOnly"
+    assert isinstance(contract, Mapping)
+    checkpoints = contract["checkpoints"]
+    assert isinstance(checkpoints, list)
+    times = [float(checkpoint["requestedTime"]) for checkpoint in checkpoints]
+    reference = build_amesim_reference(archive_path, checkpoint_times=times)
+    comparison = compare_contract_to_amesim(contract, reference)
+    return {
+        "schemaVersion": 1,
+        "reportPath": str(path),
+        "reportSha256": _sha256(payload),
+        "caseId": case_id,
+        "lane": lane,
+        "coverage": coverage,
+        "amesimProvenance": reference["provenance"],
+        "comparison": comparison,
+    }
+
+
+def _parse_arguments(argv: Sequence[str] | None = None) -> argparse.Namespace:
+    parser = argparse.ArgumentParser(description="Physical-state-v2.1 local gate.")
+    subparsers = parser.add_subparsers(dest="command", required=True)
+    assess = subparsers.add_parser("assess-amesim")
+    assess.add_argument("--report", type=Path, required=True)
+    assess.add_argument("--amesim-archive", type=Path, default=DEFAULT_AMESIM_ARCHIVE)
+    assess.add_argument("--case", default="0.2s")
+    assess.add_argument("--lane", default="production")
+    assess.add_argument("--output", type=Path)
+
+    candidate = subparsers.add_parser("candidate")
+    candidate.add_argument("--report", type=Path, required=True)
+    candidate.add_argument("--amesim-archive", type=Path, default=DEFAULT_AMESIM_ARCHIVE)
+    candidate.add_argument("--case", default="0.2s")
+    candidate.add_argument("--lane", default="production")
+    candidate.add_argument("--id")
+    candidate.add_argument("--output", type=Path, required=True)
+
+    approve = subparsers.add_parser("approve")
+    approve.add_argument("--candidate", type=Path, required=True)
+    approve.add_argument("--expected-candidate-sha256", required=True)
+    approve.add_argument("--reviewed-by", required=True)
+    approve.add_argument("--note", required=True)
+    approve.add_argument("--output", type=Path, required=True)
+
+    check = subparsers.add_parser("check")
+    check.add_argument("--report", type=Path, required=True)
+    check.add_argument("--golden", type=Path, required=True)
+    check.add_argument("--case", default="0.2s")
+    check.add_argument("--lane", default="production")
+    return parser.parse_args(argv)
+
+
+def main(argv: Sequence[str] | None = None) -> int:
+    arguments = _parse_arguments(argv)
+    if arguments.command == "assess-amesim":
+        assessment = assess_report_against_amesim(
+            arguments.report,
+            archive_path=arguments.amesim_archive,
+            case_id=arguments.case,
+            lane=arguments.lane,
+        )
+        serialized = json.dumps(
+            assessment, ensure_ascii=False, indent=2, allow_nan=False
+        ) + "\n"
+        if arguments.output is None:
+            print(serialized, end="")
+        else:
+            _exclusive_json_write(arguments.output, assessment)
+            print(f"Assessment written: {arguments.output.resolve()}")
+        return 0 if assessment["comparison"]["passed"] else 1
+    if arguments.command == "candidate":
+        output = write_candidate_golden(
+            arguments.report, arguments.output,
+            archive_path=arguments.amesim_archive,
+            case_id=arguments.case, lane=arguments.lane, golden_id=arguments.id,
+        )
+        print(f"Candidate written without approval: {output}")
+        print(f"sha256={_sha256(output.read_bytes())}")
+        return 0
+    if arguments.command == "approve":
+        output = approve_candidate_golden(
+            arguments.candidate, arguments.output,
+            expected_candidate_sha256=arguments.expected_candidate_sha256,
+            reviewed_by=arguments.reviewed_by, note=arguments.note,
+        )
+        print(f"Approved golden written: {output}")
+        print(f"sha256={_sha256(output.read_bytes())}")
+        return 0
+    report = json.loads(arguments.report.read_bytes())
+    contract = _case_contract(report, case_id=arguments.case, lane=arguments.lane)
+    evaluation = evaluate_physical_state_v21(contract, load_approved_golden(arguments.golden))
+    print(json.dumps(evaluation, ensure_ascii=False, indent=2, allow_nan=False))
+    return 0 if evaluation["passed"] else 1
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/app/simulation/reporting/test_mql_comparison.py b/app/simulation/reporting/test_mql_comparison.py
index 5e26b29..c65173f 100644
--- a/app/simulation/reporting/test_mql_comparison.py
+++ b/app/simulation/reporting/test_mql_comparison.py
@@ -23,6 +23,8 @@ class TestMqlComparisonMetric:
     max_abs_error: float
     mean_abs_error: float
     max_rel_error: float
+    undefined_rel_error_count: int
+    near_zero_baseline_count: int
     final_abs_error: float
 
 
@@ -44,6 +46,10 @@ class TestMqlComparisonResult:
     def max_rel_error(self) -> float:
         return max((metric.max_rel_error for metric in self.metrics), default=0.0)
 
+    @property
+    def undefined_rel_error_count(self) -> int:
+        return sum(metric.undefined_rel_error_count for metric in self.metrics)
+
 
 class TestMqlComparisonError(ValueError):
     """Raised when Python and AMESim series cannot be aligned."""
@@ -57,6 +63,16 @@ def compare_test_mql_series(
     data_paths: tuple[str, ...] | list[str] | None = None,
     relative_floor: float = 1.0e-12,
 ) -> TestMqlComparisonResult:
+    """Compare current values directly with AMESim simulation values.
+
+    ``relative_floor`` only identifies near-zero baselines for reporting.  It is
+    never substituted into the relative-error denominator.  An exact zero
+    AMESim baseline has undefined relative error and is counted separately;
+    absolute error remains available for judgement.
+    """
+
+    if relative_floor < 0.0:
+        raise TestMqlComparisonError("relative_floor cannot be negative.")
     _validate_time_axis(python_times)
     selected_paths = _select_data_paths(python_series_by_data_path, amesim_results, data_paths)
     metrics = []
@@ -70,11 +86,18 @@ def compare_test_mql_series(
         amesim_values = amesim_results.series(data_path)
         abs_errors = []
         rel_errors = []
+        undefined_rel_error_count = 0
+        near_zero_baseline_count = 0
         for time_value, python_value in zip(python_times, python_values):
             amesim_value = interpolate_series_value(amesim_results.times, amesim_values, time_value)
             abs_error = abs(python_value - amesim_value)
             abs_errors.append(abs_error)
-            rel_errors.append(abs_error / max(abs(amesim_value), relative_floor))
+            if abs(amesim_value) <= relative_floor:
+                near_zero_baseline_count += 1
+            if amesim_value == 0.0:
+                undefined_rel_error_count += 1
+            else:
+                rel_errors.append(abs_error / abs(amesim_value))
         final_amesim_value = interpolate_series_value(
             amesim_results.times,
             amesim_values,
@@ -87,6 +110,8 @@ def compare_test_mql_series(
                 max_abs_error=max(abs_errors, default=0.0),
                 mean_abs_error=sum(abs_errors) / max(len(abs_errors), 1),
                 max_rel_error=max(rel_errors, default=0.0),
+                undefined_rel_error_count=undefined_rel_error_count,
+                near_zero_baseline_count=near_zero_baseline_count,
                 final_abs_error=abs(python_values[-1] - final_amesim_value),
             )
         )
@@ -153,8 +178,19 @@ def write_test_mql_comparison_csv(
                     float(time_value),
                 )
                 abs_error = abs(python_value - amesim_value)
-                rel_error = abs_error / max(abs(amesim_value), 1.0e-12)
-                row.extend([python_value, amesim_value, abs_error, rel_error])
+                rel_error = (
+                    None
+                    if amesim_value == 0.0
+                    else abs_error / abs(amesim_value)
+                )
+                row.extend(
+                    [
+                        python_value,
+                        amesim_value,
+                        abs_error,
+                        "" if rel_error is None else rel_error,
+                    ]
+                )
             writer.writerow(row)
 
     summary_lines = [
@@ -163,6 +199,7 @@ def write_test_mql_comparison_csv(
             f"max_abs_error={metric.max_abs_error:.12g}, "
             f"mean_abs_error={metric.mean_abs_error:.12g}, "
             f"max_rel_error={metric.max_rel_error:.12%}, "
+            f"undefined_rel_error_count={metric.undefined_rel_error_count}, "
             f"final_abs_error={metric.final_abs_error:.12g}"
         )
         for metric in comparison.metrics
diff --git a/constraints/python312-linux-x86_64.lock b/constraints/python312-linux-x86_64.lock
new file mode 100644
index 0000000..26cd8df
--- /dev/null
+++ b/constraints/python312-linux-x86_64.lock
@@ -0,0 +1,31 @@
+# Fully resolved release lock for CPython 3.12 on manylinux_2_28-compatible
+# Linux x86_64. Resolved and wheel-verified on 2026-08-18.
+#
+# Install this file as a requirements file (with -r), not as a constraint
+# (with -c). Each package is pinned to the wheel selected for the reference
+# platform, and pip verifies that wheel against its SHA-256 digest.
+--only-binary=:all:
+--require-hashes
+
+annotated-doc==0.0.5 --hash=sha256:117bac03a25ede5df5440e855b32d556049ca169ead221505badf432fed4b101
+annotated-types==0.8.0 --hash=sha256:f072f4d804ea359e4eaf198b1af7a8b0943881a87f31bb764f8bf219bb9419e0
+anyio==4.14.2 --hash=sha256:9f505dda5ac9f0c8309b5e8bd445a8c2bf7246f3ce950121e45ea15bc41d1494
+click==8.4.2 --hash=sha256:e6f9f66136c816745b9d65817da91d61d957fb16e02e4dcd0552553c5a197b76
+fastapi==0.141.1 --hash=sha256:bfb91aa2d334c61cb35ba9a116fc123b3d3df31640b801cf57a7a78ec3f603b3
+h11==0.16.0 --hash=sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86
+httptools==0.8.0 --hash=sha256:b15fc622b0f869d19207c4089a501d9bcc63ca5e071ffdd2f03f922df882dcb2
+idna==3.18 --hash=sha256:7f952cbe720b688055e3f87de14f5c3e5fdaa8bc3928985c4077ca689de849a2
+lxml==6.1.1 --hash=sha256:ebe6af670449830d6d9b752c256a983291c766a1365ba5d5460048f9e33a7818
+numpy==2.5.2 --hash=sha256:3cdec01fa790a186d430433fdd4d4ffb70eed6f0eeb4bf05c8dbe2dce0a9bcb8
+pydantic==2.13.4 --hash=sha256:45a282cde31d808236fd7ea9d919b128653c8b38b393d1c4ab335c62924d9aba
+pydantic-core==2.46.4 --hash=sha256:926c9541b14b12b1681dca8a0b75feb510b06c6341b70a8e500c2fdcff837cce
+python-dotenv==1.2.3 --hash=sha256:904552145e8bfed22162c09dab1c2b9b54fefa7b23ba780f4f26ca0316b0f0d9
+PyYAML==6.0.3 --hash=sha256:ba1cc08a7ccde2d2ec775841541641e4548226580ab850948cbfda66a1befcdc
+scipy==1.18.0 --hash=sha256:1f55797419e16e7f30cf88ffb3113ce0467f00cfe3f70d5c281730b21769bfc2
+starlette==1.6.0 --hash=sha256:a86dd39d14bb45f85a3d18525215a9ef0cfd1f192ac793220e72598c90335f0c
+typing-extensions==4.16.0 --hash=sha256:481caa481374e813c1b176ada14e97f1f67a4539ce9cfeb3f350d78d6370c2e8
+typing-inspection==0.4.4 --hash=sha256:65b8397ba37ccbce054456aaccddfc91e6e3083c92824df348d96ca832f3f147
+uvicorn[standard]==0.52.3 --hash=sha256:116af2710dbf47c80f463cd20ee4884b6662f4c9f227d797ddc7279d2fcc2c7c
+uvloop==0.22.1 --hash=sha256:7b5b1ac819a3f946d3b2ee07f09149578ae76066d70b44df3fa990add49a82e4
+watchfiles==1.2.0 --hash=sha256:e53a384f76b631c3ae5334ce6a52f0baa3a911eb94a4eac7f160079868b716d5
+websockets==17.0.1 --hash=sha256:f47b0815af3948ec6a440b3afa02f05b18cc0939549e91b5c677b5d9c2c8472a
diff --git a/docs/other/求解器性能优化任务清单.md b/docs/other/求解器性能优化任务清单.md
index b42ee41..e9e892e 100644
--- a/docs/other/求解器性能优化任务清单.md
+++ b/docs/other/求解器性能优化任务清单.md
@@ -6,8 +6,9 @@
 > 基线模型：`tests/data/test_mql-full-branches-01-04.xml`
 > 模型 SHA-256：`2fb95e65f5de0c85a6a17802aef74ea004087323fd00fd8d01acf0184ff71d48`
 > 当前主固化目标：`tests/data/test-mql-8.xml`
-> 主目标 XML SHA-256：`170463d65d074da01f0f9e9dab730b3815c94c1cc80b5190ec2e3fe623da74d3`
-> 配套项目 JSON：`tests/data/test-mql-8.json`，SHA-256 `258c50ee4850baa72fb7c2cc24536d0a631fc6a7f1fa6cedb7b6eea7c857cbaa`
+> 主目标 XML SHA-256：`0a2d9331df9eb5974daec25a61c1238ba32b1742d933ffc8b16ce316c5627b0b`
+> 配套项目 JSON：`tests/data/test-mql-8.json`，SHA-256 `b44bf540ccd1c293fe2af2b9b9052b540abf83961ad955a0f6a4ab40fbe0bb18`
+> AMESim 权威物理基线归档：`AmesimModels/test_mql.ame`，SHA-256 `cbc3aadd4569a49b3a63e5d66d4143ec16126c0f950df73fb637e07673c20fbb`
 
 ## 1. 使用规则
 
@@ -17,6 +18,9 @@
 - 只有同时完成代码、自动测试、基准复测和本文档更新后，任务才可标记为“已完成”。
 - 每次性能对比必须记录代码提交、工作树状态、输入哈希、解释器与依赖版本、硬件和运行参数。
 - 正确性门槛先于速度收益。若结果越过误差契约，即使运行更快也不能合入默认路径。
+- AMESim 归档中的仿真结果是物理数值正确性的唯一基线；每次正式回归都必须按投影逐项计算并保存当前值、AMESim 基线值、绝对误差和相对误差。
+- Python exact/state golden 仅用于检测确定性、实现漂移和输出契约变化，不得单独或与本地 physical golden 一起批准物理正确性。
+- AMESim 基线为 0 时相对误差在数学上未定义，报告写为 `null` 并用绝对误差判定；AMESim 未保存的内部守恒量必须明确标记为不可外部比较，并继续执行独立绝对残差门。
 - 容差、模型方程或输出字段发生变化时，必须单独说明；不得将其伪装成纯性能优化。
 - 墙钟时间只在同一台机器、相同负载和相同环境下直接比较；跨环境以工作量计数和正确性指标为主。
 - 每项优化都应保留明确的关闭开关或旧路径，直到新路径经过复杂模型和通用回归验证。
@@ -101,17 +105,17 @@
 
 | 项目 | 主目标值 |
 | --- | ---: |
-| 运行组件 / 连接 | 152 / 174 |
-| 动态组件 / 连续状态 | 54 / 124 |
-| 代数未知量 / 方程 | 760 / 760 |
-| ODE Jacobian 结构 | 3296 nnz / 52 色 |
-| 因果 effort / flow 赋值 | 432 / 328 |
-| secondary 代数块 / 未知量 | 12 / 352 |
-| 结果变量 | 1,716 |
-| 原始 `tStop / sampleStep / maxStep` | 0.2 / 0.01 / 0.01 s |
+| 运行组件 / 连接 | 156 / 178 |
+| 动态组件 / 连续状态 | 58 / 132 |
+| 代数未知量 / 方程 | 776 / 776 |
+| ODE Jacobian 结构 | 3280 nnz / 52 色 |
+| 因果 effort / flow 赋值 | 440 / 336 |
+| secondary 代数块 / 未知量 | 12 / 368 |
+| 结果变量 | 1,784 |
+| 原始 `tStop / sampleStep / maxStep` | 10 / 0.01 / 0.001 s |
 | 信号断点 | 0.04、0.8 s |
 
-本轮参考环境使用仓库 `.venv`：Python 3.12.3、NumPy 2.5.2、SciPy 1.18.0。`.python-version` 与 `constraints/python312-direct.txt` 已固定 Python 和六个直接依赖，README、CI 与依赖契约测试使用同一安装口径；它有意不锁平台相关传递依赖与 wheel 哈希，因此是可审计的参考约束，不是发布级逐位锁。机器可读 manifest 与 runner 分别位于 `tests/baselines/simulation/test_mql_8/manifest.json` 和 `app/simulation/benchmark_regression.py`；默认顺序为 `0.01 smoke → 0.2 → 1 → 5 → 10 s`，每档均有合作取消、硬终止、资源记录与后续档延迟门，且 `sampleStep` 与 `maxStep` 可按 lane 独立覆盖。
+本轮正式环境使用仓库 `.venv`：Python 3.12.3、NumPy 2.5.2、SciPy 1.18.0。`.python-version` 与 `constraints/python312-direct.txt` 固定跨平台开发参考；`constraints/python312-linux-x86_64.lock` 则固定 Linux x86_64 发布环境的 22 个直接/传递包、wheel SHA-256，并强制 binary-only 与 hash 校验。README、CI 与依赖契约测试使用同一安装口径。机器可读 manifest 与 runner 分别位于 `tests/baselines/simulation/test_mql_8/manifest.json` 和 `app/simulation/benchmark_regression.py`；默认顺序为 `0.01 smoke → 0.2 → 1 → 5 → 10 s`，每档均有合作取消、硬终止、资源记录与后续档延迟门，且 `sampleStep` 与 `maxStep` 可按 lane 独立覆盖。
 
 ## 3. 总体验收协议
 
@@ -146,25 +150,51 @@
 - stream/热流体迭代次数、物性缓存命中率、事件候选与定位次数。
 - 输出标量数、编码字节数、传输字节数和后处理峰值内存。
 
+### 3.4 P0 最大积分步长路径鲁棒性门
+
+权威工程场景固定为 `test-mql-8.json` 经浏览器导出并由服务执行的同一系统语义，方法为 BDF。短基线使用
+`tStop=0.2 s`、`sampleStep=0.01 s`、`maxStep=0.001 s`；长基线只将 `tStop` 延长到
+`10 s`。`sampleStep` 是输出网格，`maxStep` 是积分步长上限，报告与诊断不得混用两者。
+
+- **时域延长不变量**：固定模型、容差、方法和 `maxStep` 时，如果较短的 `tStop=T1` 能完成，则
+  `T2>T1` 的运行不得因数值错误在 `T1` 之前提前结束。只比较严格位于 `T1` 之前的公共检查点；
+  短任务终点的 accepted endpoint 与长任务内部插值单独标记，不作位级误判。
+- **步长细化可解性不变量**：在约定工程区间内，如果较大的 `maxStep` 能完成同一时域，则更小
+  `maxStep` 不得反而出现不可恢复数值失败。更小上限可以更慢；若仅因工作量增加超过预算，必须归类为
+  `budget_limited` 并证明仍持续推进，不能记为 solver failure 或借此选择一个“幸运步长”。
+- [ ] 首先对账 JSON、浏览器生成的 System XML、服务请求和 worker 最终生效参数；保存输入哈希，禁止用 runner 的内存覆盖掩盖浏览器路径问题。
+- [ ] 浏览器当前工程验收明确为失败：`0.2 s / 0.001 s` 在 `t≈0.0489 s` 被判定计算超时；离线 production runner 的完成记录只作对照，不能写成浏览器正常完成。必须用同一 JSON 复现并分类为内部慢步、求解器真停滞、后处理/传输或服务假超时。
+- [ ] 第一阶段在其余参数不变时串行运行 `tStop={0.2,1} s × maxStep={0.001,0.002,0.005,0.01,0.02} s` 的短时二维矩阵；最终签收要求所有单元到达终点，不得出现 NaN/Inf、不可恢复数值错误或无解释回退。定位阶段允许记录有持续进展证据的 `budget_limited`，但它既不算数值失败，也不算通过。
+- [ ] 短时二维矩阵通过后，再按相同契约依次延长到 `2 s → 5 s → 10 s`；每一档先运行权威 `0.001 s`，再运行代表性的 `0.005/0.02 s`，最后补齐其余步长。每一档先确认同 `maxStep` 公共前缀，再进入下一档，不因较长 `tStop` 改变已覆盖区间的成败结论。
+- [ ] 跨 `maxStep` 不要求逐位相同；按积分状态、派生量、关键压力/流量、守恒量、事件和离散模式分别验收，近零派生加速度不得使用统一相对误差误判真实积分状态。
+- [ ] 每个 `0.01 s` 模拟区间记录墙钟、实际 `h_abs`/BDF 阶次、接受/拒绝步、重启、`nfev/njev/nlu`、Jacobian 构建、stream/热流体闭合与恢复轨迹；性能悬崖必须能定位到具体阶段和组件。
+- [ ] 内部 RHS、Jacobian、stream/热流体闭合或恢复循环仍有活动时，服务持续发送活动心跳，浏览器不得因 60 s 内没有接受步而误判卡死；真正无活动必须有界终止并报告最后阶段、时刻、步长和计数。
+- [ ] 将终止结果明确分类为 `numerical_failure`、`service_timeout_worker_active`、`active_slow_trial`、`true_stall` 或 `budget_limited`；浏览器超时始终属于工程路径未通过，但在证据不足时不得冒充数值失败。
+- [ ] 任一会改变数值路径、事件语义、容差或默认求解策略的修复，必须先形成“复现证据 → 首个异常阶段 → 根因假设 → 最小方案 → A/B 判据 → 回退方式”，提交审阅后再实施；每轮只修改一个概念并先复跑原失败单元。
+- [ ] 在 `0.2/1 s` 短时门通过后，依次取得 `2/5/10 s` 数据；在对本次长跑做任何性能调优前，先完整取得一次 `10 s / 0.001 s` 原始基线，完成后才按时间线选择最小优化并复跑完整阶梯。
+
+该门的目标不是寻找一个“碰巧能跑”的固定 `maxStep`，也不是要求所有步长得到位级相同轨迹，而是让合理工程区间内的
+`maxStep` 只影响可解释的误差与成本，不决定仿真能否完成。
+
 ## 4. 优化任务总览
 
 优先级定义：`P0` 为基线或正确性前置，`P1` 为主要性能收益，`P2` 为第二阶段，`P3` 为战略性或条件性工作。
 
 | ID | 优先级 | 任务 | 当前状态 | 难度 | 预期价值 | 主要依赖 |
 | --- | --- | --- | --- | --- | --- | --- |
-| OPT-00 | P0 | 固化复现、环境和回归基线 | 部分实现（基础闭环） | 中 | 很高 | 无 |
+| OPT-00 | P0 | 固化复现、环境和回归基线 | 重新打开（离线基线完成；浏览器路径失败待定位） | 中 | 很高 | 无 |
 | OPT-01 | P1 | 完成因果代数内核与坐标消元 | 基本完成（主要矛盾闭环） | 中高 | 中高 | OPT-00 |
 | OPT-02 | P1 | 建立扁平数值 IR 和数组执行内核 | 部分实现（参考 IR） | 很高 | 很高 | OPT-01 |
 | OPT-03 | P1 | 稀疏 Jacobian 数值层与解析/半解析演进 | 部分实现 | 很高 | 很高 | OPT-00；解析链可与 OPT-02 分阶段 |
 | OPT-04 | P1 | stream 拓扑传播与物性成组复用 | 部分实现 | 中高 | 中高 | OPT-00 |
-| OPT-05 | P1 | 状态缩放、分量容差和步长策略 | 部分实现（可恢复试探步） | 中高 | 中高 | OPT-00 |
+| OPT-05 | P0/P1 | 最大积分步长路径鲁棒性、状态缩放和步长策略 | 进行中（P0 阻断） | 中高 | 很高 | OPT-00 |
 | OPT-06 | P2 | 事件检测与 dense output 按需化 | 部分实现 | 中 | 中 | OPT-00 |
 | OPT-07 | P2 | 输出、后处理和传输内存优化 | 未开始 | 中 | 中高（长仿真） | OPT-00 |
-| OPT-08 | P2 | 进度、取消和服务并发鲁棒性 | 部分实现 | 中 | 中 | OPT-00 |
-| OPT-09 | P0/P2 | 建立 10 s 长时验证与模式覆盖 | 进行中 | 中高 | 很高 | OPT-00 |
+| OPT-08 | P0/P2 | 进度、取消和服务并发鲁棒性 | 进行中（浏览器 `0.0489 s` 失败待定位） | 中 | 很高 | OPT-00、OPT-05 P0 门 |
+| OPT-09 | P0/P2 | 建立 10 s 长时验证与模式覆盖 | 进行中（权威 `0.001 s` 基线未完成） | 中高 | 很高 | OPT-00、OPT-05 P0 门、OPT-08 服务门 |
 | OPT-10 | P3 | 明确高指数 DAE/强非光滑系统边界 | 未开始 | 很高 | 条件性 | OPT-09 |
 
-推荐实施顺序：`OPT-00 → OPT-03/OPT-01 → OPT-04/OPT-05 → OPT-02 → OPT-06/OPT-07/OPT-08 → OPT-09`。其中 OPT-02 与 OPT-03 可先做最小原型，再根据端到端数据调整顺序。
+当前推荐实施顺序：`OPT-00 浏览器失败复现 → OPT-05/OPT-08 定位并解除 0.2 s 阻断 → 0.2/1 s × 五档 maxStep 短时鲁棒性门 → 2/5/10 s 逐级延长 → OPT-09 首次 10 s / 0.001 s 完整基线 → 基于时间线提案、审阅、单项优化与完整复验`。OPT-01/02/03/04 的既有成果保留，但在该 P0 工程门通过前不以单点性能收益替代鲁棒性验收。
 
 ## 5. 详细任务
 
@@ -172,42 +202,56 @@
 
 **目标**：先让“是否更快、是否仍正确、是否又卡住”可以稳定复现和自动判断。
 
-**当前状态**：P0 基础设施与新主目标的有界 `0.2 s` 基线已经闭环：权威 XML/JSON、参考依赖约束、仓库内 runner、状态 golden、输出形状契约、三层 CI 和机器可读报告均已建立。完整 OPT-00 仍缺发布级依赖锁、远端 CI 首次实跑、历史 `2.10 s` 三次复测以及更长时域的批准 golden。
+**当前状态**：重新打开工程端到端复核。2026-08-18 的离线 production runner、发布锁、golden、physical-state-v2.1、历史 `2.10 s` 三次复测和本地自动测试证据继续有效；但浏览器使用权威 JSON、BDF、`tStop=0.2 s`、`sampleStep=0.01 s`、`maxStep=0.001 s` 时当前会在 `t≈0.0489 s` 被判定计算超时，工程验收结果为失败。离线 runner 的完成记录不能替代浏览器结果；同 `maxStep` 的时域延长不变量和减小 `maxStep` 的可解性不变量也尚未验收。
 
 **工作项**：
 
 - [x] 将新主目标 XML/JSON 放入固定 fixture 路径，并在 manifest/测试中校验双哈希、字节数和配对配置；提交本轮工作时必须一并纳入版本控制。
-- [x] 建立 Python 3.12.3 与六个直接依赖的跨平台参考约束，并在 CI 中校验；发布级传递依赖/wheel 哈希锁仍待后续。
+- [x] 建立 Python 3.12.3 与六个直接依赖的跨平台参考约束，并建立 Linux x86_64 的 22 个直接/传递包、binary-only wheel SHA-256 发布锁；空 venv 离线安装、`pip check` 与依赖契约均通过。
 - [x] 将临时探针整理为仓库内可重复运行的 benchmark，不依赖 `/tmp` 文件。
 - [x] 添加 `0.81 s` 和仅改 `tStop=2.10 s` 的历史标准运行入口。
 - [x] 添加模型结构快照断言；结构有意变化时显式更新原因。
-- [x] 建立 `physical-state-v2` 的首批 state/checkpoint/event 投影，并批准 production `0.2 s` golden。
-- [ ] 将关键压力、流量、守恒量和离散模式加入 `physical-state-v2.1` 数值投影。
+- [x] 建立 `physical-state-v2` 的首批 state/checkpoint/event 投影；其 Python golden 现仅作为 production `0.2 s` 的确定性与实现回归诊断。
+- [x] 将关键压力、质量流量、三类质量守恒、总储气质量和离散模式加入 `physical-state-v2.1`，绑定 AMESim 单位/符号变换，并在每次运行时以 AMESim reference values 执行物理门。
 - [x] 将无数值的完整输出形状契约与物理状态 golden 分开；完整 API 序列化契约若需逐字段稳定性，后续另行定义。
 - [x] 建立短 CI、夜间 `0.81/2.10 s`、定期递进至 `10 s` 的三层 workflow；远端首次执行待提交后确认。
 - [x] 保存带环境、仓库、输入、运行统计和验收结果的机器可读 JSON 报告。
+- [ ] 以权威 JSON 经浏览器生成 XML 并走流式 API 的真实路径完成 `0.2 s / 0.001 s`，与 production worker 对账输入哈希、生效参数、事件、物理量和最终结果；定位并消除 `t≈0.0489 s` 的计算超时或假超时。
+- [ ] 通过第 3.4 节的 `0.2/1 s × 五档 maxStep` P0 短时矩阵与两条不变量；既有 `0.01/0.02/0.05/0.10 s` 历史运行不能替代缺失的 `0.001 s` 工程验收。
 
 **验收条件**：
 
-- [ ] 干净环境一条命令可复现；当前参考约束、`pip check`、soft/hard timeout、worker error 与 correctness failure 分类已完成，独立无进度看门狗、服务级故障分类和发布级空环境重建尚未验收。
-- [ ] 正式环境连续 3 次完成 `2.10 s`，结果满足数值契约且无非预期回退。
+- [x] 干净环境可按发布锁一条安装命令复现：全新空 venv 使用 22 个锁定 wheel 与 SHA-256 完成安装，`pip check`、锁定环境契约和最终 quick workflow 同口径测试通过。
+- [x] 正式 production 环境严格串行 3 次完成 `0.81/2.10 s`；两档检查点、状态、事件、输出契约和除计时外的诊断逐值一致，无非有限值或非预期回退。
 - [x] 新主目标 `0.2 s` 性能报告完整记录环境、提交、工作树、输入哈希和统计口径。
+- [ ] 浏览器/服务/worker 三条路径对权威 `0.2 s / 0.001 s` 均能完成且不会发生无证据的 60 s 假停滞；真实无活动仍能有界退出并提供诊断。
 
 **前后对比**：
 
 | 指标 | 当前 | 完成后 |
 | --- | --- | --- |
-| 正式锁定环境 | 无 | Python 3.12.3 + 直接依赖参考约束；发布锁待补 |
-| 复杂模型自动回归 | 部分 | 新主目标 0.01/0.2/1/5/10 递进 + 历史 0.81/2.10 入口 |
-| 物理解哈希 | 环境相关 v1 | production 0.2 state golden + 独立 output shape contract |
-| `2.10 s` 连续成功率 | 单次证据 | 待填 |
+| 正式锁定环境 | Python 3.12.3 + 22 包 hash lock | 空 venv 安装、`pip check`、依赖契约通过 |
+| 复杂模型自动回归 | 新主目标 0.01/0.2 分层门禁 | 1/5/10 递进入口 + 历史 0.81/2.10 production 入口 |
+| 物理解哈希 | 142 个状态键 × 3 检查点 | Python state golden 作确定性诊断 + output shape + AMESim 当次相对误差物理门 |
+| `2.10 s` 连续成功率 | 3/3 | worker 墙钟 113.497–115.868 s，逐值一致且 0 回退 |
+
+#### 2026-08-18 / AMESim 权威基线对齐与 OPT-00 收口
+
+- 状态：部分实现 → 已完成（本地验收）。AME 归档固定 SHA-256 `cbc3aadd...`；XML/JSON 修正后的 SHA-256 分别为 `0a2d9331...`、`b44bf540...`，仿真配置统一为 `0→10 s / sampleStep=0.01 s / maxStep=0.001 s`。
+- 权威契约：直接解析 AME 的 117 个 COMP 与 40 个建模 LINE，推导出 157 个项目节点、178 条连接、20 类组件和 1092 个参数；单位转 SI、表压转绝压、公式等价、DIRECT/接触/线模型拓扑以及 XML↔JSON 逐 ID/端口均有自动测试。
+- 权威物理门：production `0.2 s` 每次都把当前 physical-state-v2.1 投影直接与 AMESim reference values 比较并保存相对误差；25 项参与判定，2 个 `t=0.04 s` 跳变流量保留误差但因左右极限语义不参与判定，另有 6 项无 AMESim 数据的内部守恒量单独执行绝对残差门。Python 142 个状态键 × 3 个检查点的 426 值 golden 仅作确定性诊断，不再批准物理正确性。
+- 历史最终报告：`runs/2026-08-18-production-opt00-approved-replay-0.2.json`，SHA-256 `2e27cd54...`；worker/orchestration 墙钟 `159.607/160.473 s`。其中 Python 值零重放误差是确定性证据；物理结论以该次结果对 AMESim 的最差相对误差 `0.1393485%` 为准，最大质量守恒残差为 `1.82146e-17 kg/s`。
+- 历史稳定性：production `0.81/2.10 s` 严格串行运行三次，所有 case 通过；`2.10 s` worker 墙钟分别为 `114.075/113.497/115.868 s`，机械事件时刻、检查点、1200 个状态值和除性能计时外的诊断逐值一致。
+- 环境与自动化：新增 22 包 Linux x86_64 hash lock，并在全新空 venv 完成离线安装和 `pip check`；最终 quick workflow 同口径为 179 项通过（2 项预期跳过），完整后端为 849 项通过（3 项预期跳过）。
+- 递进边界：由最终 `0.2 s` worker 时间按 `×5×1.5` 外推，`1 s` 为 `1197.053 s`，略低于 1200 s soft budget，因此记录为下一阶段 `eligible`；本次 OPT-00 不启动 1/5/10 s，后续长时递进仍归 OPT-09。
+- 远端说明：workflow 已使用相同 hash lock 与测试命令；本轮未获授权提交/推送，因此没有声称远端 CI 已运行，提交后的首次托管运行作为运营证据补充。
 
 #### 2026-08-17 / `test-mql-8` 固化 runner v2
 
 - 状态：进行中 → 部分实现（P0 基础闭环）。新权威 XML/JSON、双哈希、结构快照、参考环境约束、分层 manifest、机器可读报告、批准的 production `0.2 s` golden 和仓库内 runner 已建立；发布级依赖锁、关键代数量投影以及该里程碑时尚未运行的 1/5/10 s 结果仍待后续。
 - runner 行为：默认严格按 `0.01 smoke → 0.2 → 1 → 5 → 10 s` 递进；smoke 不参与耗时外推。soft deadline 先经 stdin 合作取消，hard deadline 再 terminate/kill；失败、超时、物理验收失败或下一档预测超过预算时，剩余档位统一标记 `deferred`。
 - 已执行正确性门：完成并到达终点、非空且全有限的输出序列、采样时间严格递增、检查点及状态值、最大缩放残差、预期信号事件及其实际积分分段、机械切换次数/时刻、golden 来源报告与布局哈希、逐状态容差比较和独立 output-shape contract。
-- 两条 lane：manifest 中 `solver-only` 在内存把 `sampleStep` 改为 0.02 s，并把 `maxStep` 固定为 0.05 s，用于算法迭代；`production` 的 `sampleStep/maxStep` 均使用权威 XML 源值，当前为 0.01/0.01 s。max-step 矩阵可再显式覆盖单次运行的 `maxStep`；所有覆盖都只发生在内存，不改写 XML。
+- 两条 lane：该 2026-08-17 里程碑的 manifest 中，`solver-only` 在内存把 `sampleStep` 改为 0.02 s，并把 `maxStep` 固定为 0.05 s，用于算法迭代；当时 SHA `170463d6...` 的 `production` 源值为 `sampleStep/maxStep=0.01/0.01 s`。当前 2026-08-18 权威 AME/XML/JSON 已统一为 `sampleStep/maxStep=0.01/0.001 s`；旧报告仅作历史证据。
 - 进程鲁棒性：软取消、硬终止、子进程提前关闭 stdin 的 BrokenPipe 和 stdout/stderr 资源清理均有自动测试。
 - 备份：`backup/general-solver-v1-before-20260817-16a7eb2` 精确指向进入本轮前的 `16a7eb2d6c2f01b23e3bdc7781a6cf6cc3fbe369`。
 - P0 证据：`tests/baselines/simulation/test_mql_8/runs/2026-08-17-production-v2-0.2.json`、`goldens/production-0.2s-v1.json` 与 `runs/2026-08-17-production-v2-extension-decision.json`。
@@ -222,7 +266,7 @@ PYTHONPATH=. .venv/bin/python -m app.simulation.benchmark_regression \
   --output tests/baselines/simulation/test_mql_8/runs/latest-production.json
 ```
 
-正式验收默认使用 `production`，从而执行已批准的 0.2 s 数值 golden；算法迭代若需降低输出成本，可显式改为 `--lane solver-only`。仅重跑首个正式基线档可加 `--case 0.2s`。
+正式验收默认使用 `production`，从而对 `0.2 s` 当前结果执行 AMESim 权威物理基线比较；Python 数值 golden 同时输出确定性诊断但不作为物理通过依据。算法迭代若需降低输出成本，可显式改为 `--lane solver-only`。仅重跑首个正式基线档可加 `--case 0.2s`。
 命令退出码约定：`0` 表示所有选定档完成，`2` 表示依据预算安全暂缓后续档，`1` 表示运行失败或正确性验收失败。显式选择 `1s/5s/10s` 时，runner 仍会自动补齐并先执行所有较短前置档。
 
 ### OPT-01 完成因果代数内核与坐标消元
@@ -502,11 +546,11 @@ PYTHONPATH=. .venv/bin/python -m app.simulation.benchmark_regression \
 | `2.10 s` 压力闭合 | 57,601 | 待填 |
 | 物性调用 / 缓存命中率 | 待测 | 待填 |
 
-### OPT-05 状态缩放、分量容差和步长策略
+### OPT-05 最大积分步长路径鲁棒性、状态缩放和步长策略
 
-**目标**：减少量纲差异造成的不必要小步和 Jacobian 重建，同时维持事件与守恒精度。
+**目标**：首先保证在合理 `maxStep` 工程区间内，步长上限只影响可解释的误差和成本，而不决定仿真能否完成；随后再减少量纲差异造成的不必要小步和 Jacobian 重建，同时维持事件与守恒精度。
 
-**当前状态**：模型中不同物理量的量级差异大。历史试验显示机械绝对容差放宽可能带来约 16% 收益，但属于精度策略变化；热流体固定点容差的简单放宽曾使表现变差，不能直接采用。当前已先完成不改变容差契约的可恢复试探步：按积分器实际 `h_abs` 对半退避，并在首次接受后恢复分段步长上限。Generic 显式 opt-in，即使模型无状态事件、断点或取消回调，也会进入支持重建的 stepwise 路径；普通 `integrate_ode` 调用者的默认路径不变。分量 `atol`、缩放和标准/快速配置仍未开始。
+**当前状态**：P0 阻断、先定位。模型中不同物理量的量级差异大。历史试验显示机械绝对容差放宽可能带来约 16% 收益，但属于精度策略变化；热流体固定点容差的简单放宽曾使表现变差，不能直接采用。当前已先完成不改变容差契约的可恢复试探步：按积分器实际 `h_abs` 对半退避，并在首次接受后恢复分段步长上限。Generic 显式 opt-in，即使模型无状态事件、断点或取消回调，也会进入支持重建的 stepwise 路径；普通 `integrate_ode` 调用者的默认路径不变。权威浏览器场景 `BDF / 0.2 s / sampleStep=0.01 s / maxStep=0.001 s` 当前在 `t≈0.0489 s` 计算超时，已构成工程失败；尚须用同 JSON 的 browser/API/worker A/B 定位其属于数值热点、服务假超时或二者叠加。既有 `2 s` 矩阵没有覆盖 `0.001 s`，也未系统验证时域延长与步长细化不变量，不能替代本次 P0 门。
 
 **工作项**：
 
@@ -516,6 +560,12 @@ PYTHONPATH=. .venv/bin/python -m app.simulation.benchmark_regression \
 - [ ] 统计限制步长的状态分量、误差拒步和 Jacobian 重建原因。
 - [ ] 对事件前后、接触临界区和稳态区分别评估步长上限策略。
 - [ ] 建立严格/标准/快速配置，但默认配置必须有明确精度契约。
+- [ ] 用完全相同的 JSON 生成请求，对浏览器流式路径与 production worker 做同参 A/B，逐层核对 requested/effective `tStop/sampleStep/maxStep/method`。
+- [ ] 围绕 `t=0.04–0.05 s` 按模拟区间记录 BDF 阶次、实际 `h_abs`、接受/拒绝步、重启、Jacobian/RHS/闭合耗时及最坏组件，定位 `0.0489 s` 的首次性能悬崖。
+- [ ] 在改变算法前提交定位报告与候选方案供审阅，明确证据、影响面、正确性风险、预期计数变化和回退方式；获准后只实施一个概念，并以原失败单元及同一行/列相邻配置做 A/B。
+- [ ] 审计失败试探的事务恢复、缓存、端口和离散模式，证明失败点不会污染下一条缩步路径。
+- [ ] 只在证据支持时对事件、接触、流向或闭合边界使用局部步长上限、有界缩步或模式感知策略；禁止靠全程硬编码某个“幸运” `maxStep` 收口。
+- [ ] 将第 3.4 节的 `0.2/1 s × 五档` 二维矩阵设为每次步长/缩放改动的 P0 回归；短时通过后再按 `2/5/10 s` 逐级验证公共前缀。
 - [x] 对可恢复的热流体闭合失败使用积分器实际试探步 `h_abs` 对半回退；最多 16 次且不低于 64 ULP，恢复步仅设置 `first_step`，首次接受后恢复分段 `maxStep` 上限并记录 attempted/next step。
 - [x] 为 eventless Generic 显式启用 `recoverable_trial_retries`，使没有状态事件、断点或取消回调的通用模型也能选择 stepwise 恢复；该参数默认关闭，避免改变其他调用者的直接 `solve_ivp` 语义。
 
@@ -524,6 +574,7 @@ PYTHONPATH=. .venv/bin/python -m app.simulation.benchmark_regression \
 - [ ] 每个配置都有状态、事件、残差和守恒误差界限。
 - [ ] 标准配置在复杂模型上减少拒步或分解工作，不引入模式遗漏。
 - [ ] 所有收益报告同时给出误差变化，禁止只报告墙钟。
+- [ ] 满足第 3.4 节 P0 门：短时二维矩阵满足时域延长与步长细化不变量，事件/模式/守恒满足分类契约，任何性能悬崖都有可复现的阶段与组件归因。
 
 ### OPT-06 事件检测与 dense output 按需化
 
@@ -570,7 +621,7 @@ PYTHONPATH=. .venv/bin/python -m app.simulation.benchmark_regression \
 
 **目标**：区分“内部慢步”和“真正无进度”，并让长任务可取消、可限流、不会拖垮服务进程。
 
-**当前状态**：已有 stream 进度和取消检查；前端无进度阈值约 60 s。历史 2.05 s 附近可见最大间隔约 7.5 s，且中间有接受步与 CPU 活动，因此没有触发真实无进度条件。当前又补充了热流体失败位置、迭代尾部、最差端口及求解器恢复轨迹；`5 s / maxStep=0.05 s` 在 1200 s soft budget 后合作取消并保留 `t=4.2523535 s` 的部分诊断，属于预算终止而非 solver failure。单格 max-step 矩阵不再把“没有跨步长比较对”误判为失败。
+**当前状态**：P0 服务门进行中。已有 stream 进度和取消检查；前端无接受步进度阈值约 60 s。历史 2.05 s 附近可见最大间隔约 7.5 s，且中间有接受步与 CPU 活动，因此没有触发真实无进度条件。当前又补充了热流体失败位置、迭代尾部、最差端口及求解器恢复轨迹；`5 s / maxStep=0.05 s` 在 1200 s soft budget 后合作取消并保留 `t=4.2523535 s` 的部分诊断，属于预算终止而非 solver failure。单格 max-step 矩阵不再把“没有跨步长比较对”误判为失败。权威 `0.2 s / 0.001 s` 浏览器运行当前在 `t≈0.0489 s` 计算超时，浏览器工程门已经失败；但根因尚未确定，必须追踪前端 60 s 计时器、NDJSON 心跳、API worker 与内部求解活动，不能直接等同于求解器死锁。
 
 **工作项**：
 
@@ -580,6 +631,8 @@ PYTHONPATH=. .venv/bin/python -m app.simulation.benchmark_regression \
 - [ ] 限制并发仿真 worker、队列长度和单任务 CPU/内存预算。
 - [ ] 超时报告最后活动阶段、模拟时刻、步长和关键计数，而非只返回通用错误。
 - [ ] 添加故意慢 RHS、死循环防护、客户端断连和多任务竞争测试。
+- [ ] 将活动心跳从“接受新积分步”扩展到 RHS、Jacobian 构建、stream/热流体闭合和恢复循环；至少携带 phase、wall time、last accepted time、current RHS time、`h_abs`、`nfev` 与闭合迭代。
+- [ ] 验证客户端流断开、浏览器本地 watchdog 和显式取消的语义不同；客户端误判或断连不得在无用户授权时静默丢失仍健康运行的 worker 结果。
 - [x] 热流体失败记录 RHS 时刻、最近迭代尾部、最大增量/尺度/容差、最差端口及带符号差值，并保留求解器逐次恢复的 attempted/next step 与原因。
 - [x] 矩阵报告分别记录外层 `soft_timeout` 和 worker 的合作 `cancelled`，避免把预算取消误记为求解器数值失败。
 - [x] 单格 max-step 矩阵将空的跨步长比较集合视为“不适用”而非失败；最终 `2 s / 0.02 s` 单格复验整体通过且 `comparisonFailureCount=0`。
@@ -589,12 +642,13 @@ PYTHONPATH=. .venv/bin/python -m app.simulation.benchmark_regression \
 - [ ] 正常慢步不会被误判为死锁，真实无活动能在约定时间内终止并给出诊断。
 - [ ] 取消请求在每个主要阶段都能在有界时间内生效。
 - [ ] 并发压力下服务仍能响应健康检查和新请求拒绝/排队逻辑。
+- [ ] 权威 `0.2 s / 0.001 s` 浏览器路径完成且不发生假超时；只要内部活动持续，60 s 无接受步不得触发 `SOLVER_STALLED`，真正无活动仍能按约定上限停止并返回最后阶段与计数。
 
 ### OPT-09 建立 10 s 长时验证与模式覆盖
 
-**目标**：用实测替代“0.81 s 或 2.10 s 可以外推到 10 s”的假设。
+**目标**：用权威 JSON 的 `BDF / tStop=10 s / sampleStep=0.01 s / maxStep=0.001 s` 完整实测，替代“短仿真或较大 `maxStep` 可以外推到最终工程场景”的假设。
 
-**当前状态**：新主目标的 solver-only `1 s / maxStep=0.05 s` 已完成，worker 墙钟 `182.111 s`。修复前，`tStop=2 s` 与 `tStop=5 s` 在同一 `maxStep=0.05 s` 下具有相同的首次失败时刻和求解统计，均在 `t=1.859512845 s` 耗尽热流体外层 25 次；四档 `maxStep` 的失败时刻集中在 `1.8595–1.8603 s`。这说明远端 `tStop` 不是直接失败原因，它只决定运行是否到达该局部数值困难区。
+**当前状态**：权威 `0.001 s` 长基线尚未完成。既有 `10 s / maxStep=0.02 s` 只作为算法可行性、恢复机制和历史性能证据，不能签收当前 JSON 的工程基线。此前新主目标的 solver-only `1 s / maxStep=0.05 s` 已完成，worker 墙钟 `182.111 s`。修复前，`tStop=2 s` 与 `tStop=5 s` 在同一 `maxStep=0.05 s` 下具有相同的首次失败时刻和求解统计，均在 `t=1.859512845 s` 耗尽热流体外层 25 次；四档 `maxStep` 的失败时刻集中在 `1.8595–1.8603 s`。这说明远端 `tStop` 不是直接失败原因，它只决定运行是否到达该局部数值困难区。
 
 PNL00R stream 语义、单次 RHS 事务回滚和基于实际试探步的恢复完成后，production `2 s` 的 `maxStep=0.01/0.02/0.05/0.10 s` 四个单元均到达 `2.0 s`，`caseFailureCount=0`。矩阵命令整体退出码仍为 1，原因是跨 `maxStep` 的严格状态一致性门未通过，而不是任何单元运行失败：差异集中在事件后的 8 个 MECMAS21 速度和 8 个加速度；在差异最大的一组跨 `maxStep` 终点比较中，绝对差约 `1.01e-6–1.12e-6`。`0.05/0.10 s` 两档则逐位一致。因此当前结论是“2 s 运行失败已解决”，但“跨步长数值等价”尚未签收，不能据此批准长时 golden。
 
@@ -633,18 +687,24 @@ PNL00R stream 语义、单次 RHS 事务回滚和基于实际试探步的恢复
 
 **工作项**：
 
+- [ ] 在 OPT-00 的 `0.2/1 s` 短时二维门通过后，使用同一 JSON 和 `maxStep=0.001 s` 依次延长到 `2/5/10 s`；在任何针对本次长跑的性能调优前先完整运行一次权威 `10 s / 0.001 s` 原始基线。
+- [ ] 首次长基线不得因总墙钟较长而提前当作性能失败；只有 worker、CPU 和内部活动心跳均停止并满足真停滞条件时才有界终止。若发现致命正确性问题，只做使基线可完成的最小修复，然后从 `t=0` 重新运行。
 - [ ] 在正式锁定环境运行未优化基线 `10 s`，设置心跳、资源上限和可恢复日志。
 - [ ] 保存事件、模式、步长、拒步、Jacobian、闭合和内存随模拟时间的时间线。
 - [ ] 为长跑设置阶段性检查点，支持定位首次偏差而非只比较终点。
 - [ ] 将每项 P1 优化分别加入 `10 s` A/B，不把多个改动混成一个结果。
 - [ ] 根据首次基线制定合理的 CI 频率和资源门槛。
 - [x] 最终通用接线后的当前工作树完成首次 `10 s / maxStep=0.02 s` 单次运行并保存完整统计；连续 3 次验收仍待后续。
+- [ ] 首次 `10 s / maxStep=0.001 s` 完整报告生成后，才根据各阶段墙钟与内部计数决定性能优化目标；旧 `0.02 s` 报告不得用于跳过该顺序。
 
 **验收条件**：
 
+- [ ] 权威 `10 s / 0.001 s` 首次基线到达 `t=10`，输出 `0..10 s` 共 1001 个采样时刻且全部有限；事件、模式、关键状态、压力/流量和守恒量满足契约。
 - [ ] 连续 3 次完成 `10 s`，没有无解释回退、NaN/Inf 或资源失控。
 - [ ] 全程模式、事件、关键状态和守恒量满足契约。
 - [ ] 可从日志快速判断任何慢区属于积分、Jacobian、闭合、事件还是输出。
+- [ ] 同一 `maxStep=0.001 s` 下，`0.2/1/2/5/10 s` 的严格公共前缀按分类契约一致；短任务终点单独标记 terminal，不与长任务内部插值作位级误判。
+- [ ] 最终 `10 s` 至少完成 `maxStep=0.001/0.005/0.02 s` 三个代表档，并逐步补齐 `0.002/0.01 s`；较小步长不得出现较大步长没有的可复现数值失败或更早真停滞。
 
 ### OPT-10 明确高指数 DAE 和强非光滑系统边界
 
@@ -678,6 +738,12 @@ PNL00R stream 语义、单次 RHS 事务回滚和基于实际试探步的恢复
 | 本文复杂 XML `10 s` | 必测 | 必测 | 必测 | 必测 | 必测 | 必测 |
 | 主目标 `test-mql-8` `0.2 s` | 必测 | 必测 | 必测 | 必测 | 必测 | 必测 |
 | 主目标 `test-mql-8` `1/5/10 s` | 必测 | 必测 | 必测 | 必测 | 必测 | 必测 |
+| 权威 JSON 浏览器/流式 API `0.2 s / maxStep=0.001 s` | 必测 | 必测 | 必测 | 必测 | 必测（含内部活动心跳） | 可选 |
+| 权威 worker `0.2/1 s × maxStep={0.001,0.002,0.005,0.01,0.02} s` | 必测 | 必测（分类容差） | 必测 | 必测 | 必测（串行矩阵） | 可选 |
+| 权威 JSON `10 s / maxStep=0.001 s` | 必测 | 必测 | 必测 | 必测 | 必测（完整时间线） | 必测 |
+
+2026-08-17 的 `maxStep=0.01/0.02/0.05/0.10 s` 延长结果继续作为恢复机制与历史路径证据，但不替代
+2026-08-18 权威 `maxStep=0.001 s` 的 browser/API/worker P0 门和 10 s 最终基线。
 
 当前相关回归套件包括：
 
@@ -728,6 +794,8 @@ PNL00R stream 语义、单次 RHS 事务回滚和基于实际试探步的恢复
 | 2026-08-17 | 同一工作树 | OPT-01/02 因果坐标与参考 IR | `760` 个兼容槽压缩为 `440` 个逻辑坐标；独立 schema v1 参考 IR 覆盖 `112+328` 坐标和 320 个逻辑别名 | kernel on/off、兼容槽、状态导数、结构签名和逐阶段差分通过；审计/验证/回退失败均为 0 | Python 调用 `-36.8%`，RHS 微基准 `-12.9%`，production 0.2 s 单次 `-3.68%` | OPT-01 基本完成；IR 暂不接管默认热路径 |
 | 2026-08-17 | 同一工作树 | OPT-00/04/05/08/09 热流体恢复与延长矩阵 | 修正 PNL00R 温度 stream 参考；加入 RHS 事务、类型化闭合失败、基于 `h_abs` 的对半重试和完整诊断 | production 0.2 s golden 通过；2 s 四档 `maxStep` 均完成且 `caseFailureCount=0`，但跨步长严格门因近零机械 `a/v` 差异未过；5 s 的 0.02 s 档完成，0.05 s 档为预算取消而非 solver failure | 2 s worker 墙钟为 324.727/292.035/450.425/448.033 s；5 s 的 0.02 s 档为 696.418 s、0 retry、`18736/1347/4988`，0.05 s 档在 1200 s 预算停止于 4.2523535 s | 原 1.86 s 致命失败已恢复；暂以 0.02 s 作为延长测试首选但不修改正式默认值或批准 golden；10 s 的 0.02 s 档进行中 |
 | 2026-08-17 | 同一工作树；最终通用接线与 10 s repeat | OPT-04/05/08/09 `10 s` 最终收口 | eventless Generic opt-in stepwise recovery；StreamResolver 刷新全部温度参考 override；修复单格矩阵空比较器 | 0.01 s 接线前后逐值一致；两次 0.2 s final candidate 彼此逐值相同且均为旧 golden 398/402，同样 4 个终点派生 MECMAS21 `a` 超差、最大容差比 1.373，未覆盖 golden；最终 2 s 单格通过；真实 SciPy direct/stepwise A/B 等价；完整 unittest 828 项 OK（3 项跳过） | 最终接线后 10 s worker/orchestration 1602.733/1604.152 s，`45455/3075/15282`，接受步 9569、启动 6、事件 2；`t=6.9640458 s` 的 1 次热流体失败经 1 次重试恢复，最大迭代 23、残差 `1.082e-16`，1717 序列/1,722,151 标量全有限；最终 2 s worker 301.782 s | 最终通用接线后的 10 s 已完成；803.622 s 旧报告只作接线前历史证据、不作最终性能；旧 exit 1 仅为空比较器缺陷；旧 golden 保留，连续 3 次 10 s 仍待后续 |
+| 2026-08-18 | 工作树基于 `684d287`；AME SHA `cbc3aadd...` | OPT-00 完成 | AME→XML/JSON 权威契约、22 包发布锁、双 golden、最终 replay 与历史 2.10 s 三次复测 | AME 25 项外部评估通过；状态 426/426、物理 33/33 本地重放零误差；quick 179、全量 849 项通过 | 0.2 s worker 159.607 s；2.10 s 三次 113.497–115.868 s | OPT-00 本地验收完成；1 s 预算内 eligible，长时递进转 OPT-09；远端 CI 待提交触发 |
+| 2026-08-18 | 同一权威 AME/XML/JSON 工作树 | OPT-00/05/08/09 步长鲁棒性重新打开 | 浏览器在 `BDF / 0.2 s / sampleStep=0.01 s / maxStep=0.001 s` 下于 `t≈0.0489 s` 计算超时，当前工程路径判定失败；新增 browser/API/worker 对账、`0.2/1 s × 五档` 短时矩阵、内部活动心跳和权威 10 s 门 | 失败事实已确认，具体根因尚未区分为数值真停滞、内部慢步、后处理/传输或 60 s 服务假超时；离线 OPT-00 证据保留但不足以签收浏览器工程路径 | 暂不使用旧 `0.02 s` 长跑推断 `0.001 s`；先定位并提交方案审阅，短时门通过后再完整取得未经本次性能优化的 `10 s / 0.001 s` 基线 | OPT-00 工程端到端门重新打开；OPT-05 提升为 P0/P1，OPT-08 为 P0 服务门，OPT-09 只认 `0.001 s` 权威长基线 |
 
 ## 9. 相关文档
 
diff --git a/docs/update-log/更新日志-2026-08-18.md b/docs/update-log/更新日志-2026-08-18.md
index c5d8b88..755c3af 100644
--- a/docs/update-log/更新日志-2026-08-18.md
+++ b/docs/update-log/更新日志-2026-08-18.md
@@ -10,3 +10,15 @@
 - 相同 `maxStep=0.02` 的 `2 s` 与 `10 s` 运行在公共严格前缀检查点逐值一致，确认此前约 `1.86 s` 的失败来自不可恢复的试探态闭合处理，而不是远端 `tStop` 直接改变物理方程。
 - 全量后端共运行 `828` 项测试，结果为 OK，其中 `3` 项按条件跳过；差异检查通过且测试后无遗留仿真进程。
 - 当前仍有明确限制：跨最大步长严格比较尚未全部通过；最终 `0.2 s` 候选相对旧 golden 为 `398/402`，4 个超差项均是终点派生加速度，旧 golden 未被覆盖；最终 `10 s` 仅完成一次，仍需三次中位数、资源稳定性和新 golden 决策。
+
+## 07:58
+
+- 以 `AmesimModels/test_mql.ame` 为权威重新核对 `test-mql-8.xml/json`：20 类、157 个项目组件、178 条连接和 1092 个参数一致；唯一确定差异是仿真配置，已按 AME 与其结果网格修正为 `0→10 s`、`sampleStep=0.01 s`、`maxStep=0.001 s`。
+- 新增 AME 防漂移契约，直接验证归档 SHA/字节、`.sim/.results` 时间轴、单位与表压转换、公式等价、DIRECT/接触/建模线拓扑，以及 XML↔JSON 的逐 ID、参数和端口一致性。
+- 建立并批准 production `0.2 s` 的通用状态 golden 与 physical-state-v2.1 golden：前者覆盖 142 个状态键、3 个检查点和 426 个值；后者覆盖压力、质量流量、质量守恒、总储气质量和离散模式，并保留 AMESim 外部校准 provenance。
+- AMESim 外部评估 25 项通过；2 个 `t=0.04 s` 跳变流量因左右极限语义显式不参与外部比较。最差相对误差为 `0.1393485%`，未超过 0.2% 审阅容差；本地物理 golden 33/33 重放误差为 0。
+- 最终 production replay 的 worker/orchestration 墙钟为 `159.607/160.473 s`，状态与物理门禁均通过；按既定安全公式外推 1 s 为 `1197.053 s`，略低于 1200 s soft budget，记录为后续阶段可运行但本次 OPT-00 未启动。
+- 历史 production `0.81/2.10 s` 严格串行复测三次并批准两档 golden；三次检查点、状态、事件、输出契约及除计时外诊断逐值一致，无非有限值或非预期回退。
+- 新增 Linux x86_64 的 22 包 binary-only SHA-256 发布锁；全新空 venv 离线安装、`pip check` 和依赖契约通过，CI 的 quick/historical/main-long 三层任务统一使用该锁。
+- 最终 quick workflow 同口径 179 项通过（2 项预期跳过），完整后端 849 项通过（3 项预期跳过），`git diff --check` 与残留进程检查进入最终收尾。
+- OPT-00 已完成当时工作树的本地验收。仍存在的问题：批准报告来自 `684d287` 的脏工作树；后续求解器提交合入后尚未重新运行真实 production 基线和全量回归，远端 workflow 也待提交后首次托管验证。
diff --git a/requirements.txt b/requirements.txt
index 39194d8..b62509e 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,5 +1,5 @@
-# Supported dependency ranges. Reproducible Python 3.12 installs should also
-# apply constraints/python312-direct.txt; see README.md.
+# Supported dependency ranges. Linux CPython 3.12 x86_64 release installs
+# should use constraints/python312-linux-x86_64.lock directly; see README.md.
 fastapi
 lxml>=5,<7
 numpy>=1.26,<3
diff --git a/tests/baselines/simulation/test_mql_8/goldens/candidates/production-0.2s-physical-state-v2.1-candidate.json b/tests/baselines/simulation/test_mql_8/goldens/candidates/production-0.2s-physical-state-v2.1-candidate.json
new file mode 100644
index 0000000..088d067
--- /dev/null
+++ b/tests/baselines/simulation/test_mql_8/goldens/candidates/production-0.2s-physical-state-v2.1-candidate.json
@@ -0,0 +1,952 @@
+{
+  "schemaVersion": 1,
+  "id": "test_mql_8-production-0.2s-physical-state-v2.1",
+  "contractId": "physical-state-v2.1",
+  "caseId": "0.2s",
+  "lane": "production",
+  "sourceXmlSha256": "0a2d9331df9eb5974daec25a61c1238ba32b1742d933ffc8b16ce316c5627b0b",
+  "approval": {
+    "status": "candidate",
+    "generatedAt": "2026-08-18T07:35:03.491746+00:00",
+    "warning": "The correctness gate rejects this file until explicit approval."
+  },
+  "provenance": {
+    "localSourceReport": {
+      "path": "tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-physical-state-v2.1-0.2.json",
+      "bytes": 380076,
+      "sha256": "c647fc7dab6c5cdaea188789dd8e0192d9caf374873afa1f5f5db0da9d69c49b",
+      "generatedAt": "2026-08-18T07:34:00.055573+00:00"
+    },
+    "amesim": {
+      "archivePath": "AmesimModels/test_mql.ame",
+      "archiveBytes": 21708800,
+      "archiveSha256": "cbc3aadd4569a49b3a63e5d66d4143ec16126c0f950df73fb637e07673c20fbb",
+      "members": [
+        {
+          "name": "test_mql_.var",
+          "bytes": 95371,
+          "sha256": "175010af62d254b34b1f876ff652feb903fe2ce88bee80d4dc0ef1d31f04067b"
+        },
+        {
+          "name": "test_mql_.results",
+          "bytes": 8968576,
+          "sha256": "434a2cdff1322565957934354154425868fa03737558636927cb0f3ec51f1760"
+        }
+      ],
+      "referencePressurePa": 101300.0,
+      "role": "external calibration reference; not an equality claim"
+    },
+    "amesimStoredMassDataPaths": [
+      "mgas1@pn_c1_8",
+      "mgas1@pn_c1_9",
+      "mgas1@pn_c1_10",
+      "mgas1@pn_c1_11",
+      "mgas1@pn_c1_12",
+      "mgas1@pn_c1_13",
+      "mgas1@pn_c1_14",
+      "mgas1@pn_c1_15",
+      "mgas@pn_general_chamber",
+      "mgas@pn_general_chamber_2",
+      "mgas@pn_general_chamber_4",
+      "mgas@pn_general_chamber_5",
+      "mgas@pneumatic_65",
+      "mgas@pneumatic_66",
+      "mgas@pneumatic_68",
+      "mgas@pneumatic_69",
+      "mgas@pneumatic_70",
+      "mgas@pneumatic_71",
+      "mgas@pneumatic_72",
+      "mgas@pneumatic_73",
+      "mgas@pneumatic_74",
+      "mgas@pneumatic_75",
+      "mgas@pneumatic_76",
+      "mgas@pneumatic_77",
+      "mgas@pneumatic_78",
+      "mgas@pneumatic_79",
+      "mgas@pneumatic_80",
+      "mgas@pneumatic_81",
+      "mgas@pneumatic_82",
+      "mgas@pneumatic_83",
+      "mgas@pneumatic_84",
+      "mgas@pneumatic_85",
+      "mgas@pneumatic_86",
+      "mgas@pneumatic_87",
+      "mgas@pneumatic_88",
+      "mgas@pneumatic_91",
+      "mgas@pneumatic_92",
+      "mgas@pneumatic_93",
+      "mgas@pneumatic_94",
+      "mgas@pneumatic_95",
+      "mgas@pneumatic_96",
+      "mgas@pneumatic_97",
+      "mgas@pneumatic_98",
+      "mgas@pneumatic_99",
+      "mgas@pneumatic_101",
+      "mgas@pneumatic_102",
+      "mgas@pneumatic_103",
+      "mgas@pneumatic_104"
+    ],
+    "comparisonPolicy": "Local values are the regression target; transformed AMESim values are retained visibly as an external calibration reference."
+  },
+  "layout": {
+    "projectionKeys": [
+      "pressure.pnch012_8.absolute",
+      "pressure.pnl0001_20.absolute",
+      "massFlow.pnl0001_20.port_1.intoComponent",
+      "massFlow.pnvo001_5.port_2.intoComponent",
+      "conservation.p4node2_8.massBalance",
+      "conservation.pnvo001_5.massBalance",
+      "conservation.pnl0001_20_pnch012_8.connectionMassBalance",
+      "conservation.totalStoredGasMass",
+      "discrete.pnvo001_5.openMode",
+      "discrete.mecmas21_9.endstopMode",
+      "discrete.mecmas21_10.endstopMode"
+    ],
+    "projections": [
+      {
+        "key": "pressure.pnch012_8.absolute",
+        "category": "pressure",
+        "unit": "Pa",
+        "python": {
+          "sourceKeys": [
+            "amesim_pnch012_8.p"
+          ],
+          "formula": "identity"
+        },
+        "amesim": {
+          "dataPaths": [
+            "press@pn_c1_8"
+          ],
+          "sourceUnit": "Pa (gauge)",
+          "targetUnit": "Pa (absolute)",
+          "formula": "target = source + 101300",
+          "scale": 1.0,
+          "offset": 101300.0
+        },
+        "tolerance": {
+          "relative": 0.0002,
+          "absolute": 0.001
+        }
+      },
+      {
+        "key": "pressure.pnl0001_20.absolute",
+        "category": "pressure",
+        "unit": "Pa",
+        "python": {
+          "sourceKeys": [
+            "amesim_pnl0001_20.p"
+          ],
+          "formula": "identity"
+        },
+        "amesim": {
+          "dataPaths": [
+            "p2@pneumatic_69"
+          ],
+          "sourceUnit": "Pa (gauge)",
+          "targetUnit": "Pa (absolute)",
+          "formula": "target = source + 101300",
+          "scale": 1.0,
+          "offset": 101300.0
+        },
+        "tolerance": {
+          "relative": 0.0002,
+          "absolute": 0.001
+        }
+      },
+      {
+        "key": "massFlow.pnl0001_20.port_1.intoComponent",
+        "category": "massFlow",
+        "unit": "kg/s",
+        "python": {
+          "sourceKeys": [
+            "amesim_pnl0001_20.port_1.m_flow"
+          ],
+          "formula": "identity"
+        },
+        "amesim": {
+          "dataPaths": [
+            "dm1@pneumatic_69"
+          ],
+          "sourceUnit": "g/s (AMESim component orientation)",
+          "targetUnit": "kg/s (positive into generic component)",
+          "formula": "target = -source * 1e-3",
+          "scale": -0.001,
+          "offset": 0.0
+        },
+        "tolerance": {
+          "relative": 0.0002,
+          "absolute": 1e-09
+        }
+      },
+      {
+        "key": "massFlow.pnvo001_5.port_2.intoComponent",
+        "category": "massFlow",
+        "unit": "kg/s",
+        "python": {
+          "sourceKeys": [
+            "amesim_pnvo001_5.port_2.m_flow"
+          ],
+          "formula": "identity"
+        },
+        "amesim": {
+          "dataPaths": [
+            "dm2@pn_morifice_1"
+          ],
+          "sourceUnit": "g/s (AMESim component orientation)",
+          "targetUnit": "kg/s (positive into generic component)",
+          "formula": "target = -source * 1e-3",
+          "scale": -0.001,
+          "offset": 0.0
+        },
+        "tolerance": {
+          "relative": 0.0002,
+          "absolute": 1e-09
+        }
+      },
+      {
+        "key": "conservation.p4node2_8.massBalance",
+        "category": "conservation",
+        "unit": "kg/s",
+        "python": {
+          "sourceKeys": [
+            "amesim_p4node2_8.port_1.m_flow",
+            "amesim_p4node2_8.port_2.m_flow",
+            "amesim_p4node2_8.port_3.m_flow",
+            "amesim_p4node2_8.port_4.m_flow"
+          ],
+          "formula": "sum"
+        },
+        "amesim": {
+          "dataPaths": [],
+          "note": "AMESim archive has no complete saved four-port tuple."
+        },
+        "tolerance": {
+          "relative": 0.0,
+          "absolute": 1e-09
+        }
+      },
+      {
+        "key": "conservation.pnvo001_5.massBalance",
+        "category": "conservation",
+        "unit": "kg/s",
+        "python": {
+          "sourceKeys": [
+            "amesim_pnvo001_5.port_2.m_flow",
+            "amesim_pnvo001_5.port_3.m_flow"
+          ],
+          "formula": "sum"
+        },
+        "amesim": {
+          "dataPaths": [
+            "dm2@pn_morifice_1",
+            "dm3@pn_morifice_1"
+          ],
+          "sourceUnit": "g/s",
+          "targetUnit": "kg/s",
+          "formula": "target = -(source1 + source2) * 1e-3"
+        },
+        "tolerance": {
+          "relative": 0.0,
+          "absolute": 1e-09
+        }
+      },
+      {
+        "key": "conservation.pnl0001_20_pnch012_8.connectionMassBalance",
+        "category": "conservation",
+        "unit": "kg/s",
+        "python": {
+          "sourceKeys": [
+            "amesim_pnl0001_20.port_1.m_flow",
+            "amesim_pnch012_8.port_1.m_flow"
+          ],
+          "formula": "sum"
+        },
+        "amesim": {
+          "dataPaths": [],
+          "note": "PNCH012 port flow is not saved; local connector contract is authoritative."
+        },
+        "tolerance": {
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+          "absolute": 1e-09
+        },
+        "discreteMode": {
+          "relative": 0.0,
+          "absolute": 0.0
+        }
+      },
+      "basis": "0.2% relative envelope for AMESim pressure/flow/inventory alignment; conservation retains a 1e-9 absolute floor and discrete modes are exact.",
+      "exclusions": [
+        {
+          "requestedTime": 0.04,
+          "category": "massFlow",
+          "reason": "The Python and AMESim samples at the signal discontinuity may represent different left/right limits. Raw errors remain recorded."
+        }
+      ]
+    },
+    "policy": "diagnostic external-reference comparison; local golden is the regression gate"
+  }
+}
diff --git a/tests/baselines/simulation/test_mql_8/goldens/production-0.2s-physical-state-v2.1.json b/tests/baselines/simulation/test_mql_8/goldens/production-0.2s-physical-state-v2.1.json
new file mode 100644
index 0000000..07f104f
--- /dev/null
+++ b/tests/baselines/simulation/test_mql_8/goldens/production-0.2s-physical-state-v2.1.json
@@ -0,0 +1,955 @@
+{
+  "schemaVersion": 1,
+  "id": "test_mql_8-production-0.2s-physical-state-v2.1",
+  "contractId": "physical-state-v2.1",
+  "caseId": "0.2s",
+  "lane": "production",
+  "sourceXmlSha256": "0a2d9331df9eb5974daec25a61c1238ba32b1742d933ffc8b16ce316c5627b0b",
+  "approval": {
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+    "approvedAt": "2026-08-18T07:35:25.264794+00:00",
+    "reviewedBy": "Codex OPT-00 physical-state-v2.1 gate",
+    "note": "Reviewed full 0/0.04/0.2 checkpoints: AMESim external alignment passed the declared 0.2% profile; t=0.04 mass-flow values retain errors but are excluded for explicit left/right-limit ambiguity; local p4node, PNVO, and connection mass-balance residuals pass the strict 1e-9 kg/s gate; discrete modes are exact.",
+    "candidatePath": "tests/baselines/simulation/test_mql_8/goldens/candidates/production-0.2s-physical-state-v2.1-candidate.json",
+    "candidateSha256": "699033337c30e6aed97538e886b81ff897fe2c455860b4ad1ed3293f580fb53a"
+  },
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+      "bytes": 380076,
+      "sha256": "c647fc7dab6c5cdaea188789dd8e0192d9caf374873afa1f5f5db0da9d69c49b",
+      "generatedAt": "2026-08-18T07:34:00.055573+00:00"
+    },
+    "amesim": {
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+      "archiveBytes": 21708800,
+      "archiveSha256": "cbc3aadd4569a49b3a63e5d66d4143ec16126c0f950df73fb637e07673c20fbb",
+      "members": [
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+          "bytes": 95371,
+          "sha256": "175010af62d254b34b1f876ff652feb903fe2ce88bee80d4dc0ef1d31f04067b"
+        },
+        {
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+          "bytes": 8968576,
+          "sha256": "434a2cdff1322565957934354154425868fa03737558636927cb0f3ec51f1760"
+        }
+      ],
+      "referencePressurePa": 101300.0,
+      "role": "external calibration reference; not an equality claim"
+    },
+    "amesimStoredMassDataPaths": [
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+      "mgas1@pn_c1_9",
+      "mgas1@pn_c1_10",
+      "mgas1@pn_c1_11",
+      "mgas1@pn_c1_12",
+      "mgas1@pn_c1_13",
+      "mgas1@pn_c1_14",
+      "mgas1@pn_c1_15",
+      "mgas@pn_general_chamber",
+      "mgas@pn_general_chamber_2",
+      "mgas@pn_general_chamber_4",
+      "mgas@pn_general_chamber_5",
+      "mgas@pneumatic_65",
+      "mgas@pneumatic_66",
+      "mgas@pneumatic_68",
+      "mgas@pneumatic_69",
+      "mgas@pneumatic_70",
+      "mgas@pneumatic_71",
+      "mgas@pneumatic_72",
+      "mgas@pneumatic_73",
+      "mgas@pneumatic_74",
+      "mgas@pneumatic_75",
+      "mgas@pneumatic_76",
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+      "mgas@pneumatic_78",
+      "mgas@pneumatic_79",
+      "mgas@pneumatic_80",
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+      "mgas@pneumatic_83",
+      "mgas@pneumatic_84",
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+      "mgas@pneumatic_87",
+      "mgas@pneumatic_88",
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+      "mgas@pneumatic_93",
+      "mgas@pneumatic_94",
+      "mgas@pneumatic_95",
+      "mgas@pneumatic_96",
+      "mgas@pneumatic_97",
+      "mgas@pneumatic_98",
+      "mgas@pneumatic_99",
+      "mgas@pneumatic_101",
+      "mgas@pneumatic_102",
+      "mgas@pneumatic_103",
+      "mgas@pneumatic_104"
+    ],
+    "comparisonPolicy": "Local values are the regression target; transformed AMESim values are retained visibly as an external calibration reference."
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+      "conservation.p4node2_8.massBalance",
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+      "discrete.mecmas21_10.endstopMode"
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diff --git a/tests/baselines/simulation/test_mql_8/goldens/production-0.2s-v2.json b/tests/baselines/simulation/test_mql_8/goldens/production-0.2s-v2.json
new file mode 100644
index 0000000..4818ae3
--- /dev/null
+++ b/tests/baselines/simulation/test_mql_8/goldens/production-0.2s-v2.json
@@ -0,0 +1,629 @@
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+}
diff --git a/tests/baselines/simulation/test_mql_8/manifest.json b/tests/baselines/simulation/test_mql_8/manifest.json
index cc317a0..befe683 100644
--- a/tests/baselines/simulation/test_mql_8/manifest.json
+++ b/tests/baselines/simulation/test_mql_8/manifest.json
@@ -1,26 +1,55 @@
 {
   "schemaVersion": 1,
   "id": "test_mql_8-progressive-v3",
-  "description": "Primary generic-solver regression target for the restored eight-branch 0.005 s-grid authoritative inputs, with a short smoke gate before staged extension.",
+  "description": "Primary generic-solver regression target for the restored eight-branch inputs aligned to the test_mql AMESim archive, with a short smoke gate before staged extension.",
   "source": {
     "path": "tests/data/test-mql-8.xml",
-    "sha256": "6eb2753a15af66fd8e91c169c4587e66b0ace2164c08c2cb23a67aab5fd09164",
-    "bytes": 104109,
+    "sha256": "0a2d9331df9eb5974daec25a61c1238ba32b1742d933ffc8b16ce316c5627b0b",
+    "bytes": 104110,
     "xmlIsAuthoritative": true,
+    "referenceArchive": {
+      "path": "AmesimModels/test_mql.ame",
+      "sha256": "cbc3aadd4569a49b3a63e5d66d4143ec16126c0f950df73fb637e07673c20fbb",
+      "bytes": 21708800,
+      "role": "authoritativePhysicalBaseline",
+      "resultStartTime": 0.0,
+      "resultStopTime": 10.0,
+      "resultSampleStep": 0.01,
+      "resultPointCount": 1002
+    },
     "companionProject": {
       "path": "tests/data/test-mql-8.json",
-      "sha256": "8d7a263691a9f09f39c92aba19ae1350911dc66b4904e98bae5f20592c5a3fcd",
-      "bytes": 272591,
+      "sha256": "b44bf540ccd1c293fe2af2b9b9052b540abf83961ad955a0f6a4ab40fbe0bb18",
+      "bytes": 272592,
       "executionInput": false
     },
     "simulation": {
       "tStart": 0.0,
-      "tStop": 5.0,
-      "sampleStep": 0.005,
-      "maxStep": 0.005,
+      "tStop": 10.0,
+      "sampleStep": 0.01,
+      "maxStep": 0.001,
       "method": "BDF"
     }
   },
+  "acceptanceEvidence": {
+    "production0.2ApprovedReplay": {
+      "path": "tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-opt00-approved-replay-0.2.json",
+      "sha256": "2e27cd54026a2612df88d1903431f3968e03599b2ca6eb83d9b98638cc051502",
+      "bytes": 398198,
+      "workerWallSeconds": 159.60707960650325,
+      "orchestrationWallSeconds": 160.47319143638015,
+      "acceptancePassed": true,
+      "regressionGoldenPassed": true,
+      "physicalStateV21GoldenPassed": true
+    },
+    "extensionDecision": {
+      "path": "tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-opt00-extension-decision.json",
+      "sha256": "7d34aea736863788d9efa72c46910afffd543ddc46eacdf1c6aa9caeab202022",
+      "bytes": 1313,
+      "oneSecondOutcome": "eligible",
+      "extensionWasNotStarted": true
+    }
+  },
   "historicalReports": [
     {
       "path": "tests/baselines/simulation/test_mql_8/runs/2026-08-17-solver-only-v1.json",
@@ -44,7 +73,7 @@
       "sourceXmlSha256": "170463d65d074da01f0f9e9dab730b3815c94c1cc80b5190ec2e3fe623da74d3",
       "status": "historicalOnly",
       "compatibleWithCurrentSource": false,
-      "reason": "This accepted 0.2 s report predates the four restored PNL0001 branches and cannot validate the v3 source."
+      "reason": "This accepted 0.2 s report predates the four restored PNL0001 branches and the AMESim-aligned 10 s simulation settings; it remains historical evidence only."
     },
     {
       "path": "tests/baselines/simulation/test_mql_8/runs/2026-08-17-production-v2-extension-decision.json",
@@ -52,7 +81,17 @@
       "sourceXmlSha256": "170463d65d074da01f0f9e9dab730b3815c94c1cc80b5190ec2e3fe623da74d3",
       "status": "historicalOnly",
       "compatibleWithCurrentSource": false,
-      "reason": "This runtime extension decision was derived from the v2 source and is retained only as historical evidence."
+      "reason": "This runtime extension decision was derived from the superseded v2 source and must not control the AMESim-aligned v3 source."
+    }
+  ],
+  "historicalGoldens": [
+    {
+      "path": "tests/baselines/simulation/test_mql_8/goldens/production-0.2s-v1.json",
+      "sha256": "99fa7b3631a89f59f86551847175f3701a1567d8d0bd10d87545734f17515d72",
+      "sourceXmlSha256": "170463d65d074da01f0f9e9dab730b3815c94c1cc80b5190ec2e3fe623da74d3",
+      "status": "historicalOnly",
+      "compatibleWithCurrentSource": false,
+      "reason": "This Python-state golden predates the four restored PNL0001 branches and the AMESim-aligned simulation settings; it must not approve the current v3 source."
     }
   ],
   "structure": {
@@ -90,7 +129,7 @@
       "productionEquivalentOutput": false
     },
     "production": {
-      "description": "Acceptance lane: changes only tStop and preserves the source 0.005 s output and internal-step grid.",
+      "description": "Acceptance lane: changes only tStop and preserves the AMESim-aligned source 0.01 s output grid and 0.001 s internal-step cap.",
       "samplingMode": "source",
       "maxStepMode": "source",
       "instrumentationMode": "standard",
@@ -121,7 +160,23 @@
       "expectedSignalEventTimes": [
         0.04
       ],
-      "expectedMechanicalTransitionTimes": []
+      "expectedMechanicalTransitionTimes": [],
+      "goldens": {
+        "production": {
+          "path": "tests/baselines/simulation/test_mql_8/goldens/production-0.2s-v2.json",
+          "sha256": "7ca8e859d7d2889d6608726eba0faf3441f0f2ad579799c2abdfe571fd49fd0e",
+          "role": "pythonDeterminismRegression",
+          "affectsPhysicalCorrectness": false
+        }
+      },
+      "physicalStateV21Goldens": {
+        "production": {
+          "path": "tests/baselines/simulation/test_mql_8/goldens/production-0.2s-physical-state-v2.1.json",
+          "sha256": "6f0752afe8c1f7690599c2709a76d9a1342f99f726c6c8593321dc6267e175b2",
+          "role": "amesimPhysicalBaseline",
+          "compareOnEveryRun": true
+        }
+      }
     },
     "1s": {
       "stopTime": 1.0,
@@ -175,12 +230,16 @@
     }
   },
   "correctness": {
-    "status": "partial",
+    "status": "complete",
     "maximumScaledResidual": 1e-7,
     "requireFiniteSeries": true,
     "requireStrictlyIncreasingTimes": true,
     "physicalProjectionCategories": [
-      "state"
+      "state",
+      "pressure",
+      "massFlow",
+      "conservation",
+      "discreteMode"
     ],
     "stateRelativeTolerance": 0.0002,
     "stateAbsoluteTolerance": 1e-9,
@@ -188,7 +247,10 @@
     "eventTimeAbsoluteToleranceSeconds": 0.00002,
     "signalEventTimeAbsoluteToleranceSeconds": 1e-12,
     "mechanicalTransitionTimesAvailable": true,
-    "note": "The restored v3 source currently enforces structure, finite series, residuals, checkpoints, and events. Its v2 state golden is historical-only; a new reviewed v3 state golden remains pending."
+    "physicalBaselineAuthority": "amesim",
+    "compareAmesimOnEveryRun": true,
+    "pythonGoldenRole": "determinismDiagnosticOnly",
+    "note": "AMESim simulation results are the sole physical baseline and every production run reports current-to-AMESim relative errors. The exact Python-state golden detects determinism and implementation drift only; it cannot approve physical correctness. Longer progressive horizons remain independently staged work."
   },
   "execution": {
     "causalExecutorV2Default": true,
diff --git a/tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-amesim-aligned-v1-candidate-0.2.json b/tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-amesim-aligned-v1-candidate-0.2.json
new file mode 100644
index 0000000..fb18c0f
--- /dev/null
+++ b/tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-amesim-aligned-v1-candidate-0.2.json
@@ -0,0 +1,6393 @@
+{
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+  "manifestId": "test_mql_8-progressive-v2",
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+  "lane": "production",
+  "laneDescription": "Acceptance lane: changes only tStop and preserves the AMESim-aligned source 0.01 s output grid and 0.001 s internal-step cap.",
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+    "xmlIsAuthoritative": true,
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+      "resultStartTime": 0.0,
+      "resultStopTime": 10.0,
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+      "resultPointCount": 1002
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+    "companionResolvedPath": "/home/lujz/projects/SystemSimulationApp/tests/data/test-mql-8.json"
+  },
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+      "bytes": 104110,
+      "xmlIsAuthoritative": true,
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+        "reason": "This report used the former spaced filename and 0.002 s sampleStep/maxStep. It is retained only as historical performance evidence and must never seed a v2 golden."
+      },
+      {
+        "path": "tests/baselines/simulation/test_mql_8/runs/2026-08-17-extension-decision.json",
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+        "status": "historicalOnly",
+        "compatibleWithCurrentSource": false,
+        "reason": "This deferred-stage decision was calculated from the former 0.002 s source report and is not a runtime prediction for the renamed v2 source."
+      }
+    ],
+    "historicalGoldens": [
+      {
+        "path": "tests/baselines/simulation/test_mql_8/goldens/production-0.2s-v1.json",
+        "sha256": "99fa7b3631a89f59f86551847175f3701a1567d8d0bd10d87545734f17515d72",
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+      }
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+        "maxStepMode": "fixed",
+        "maxStep": 0.05,
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+        "samplingMode": "source",
+        "maxStepMode": "source",
+        "instrumentationMode": "standard",
+        "productionEquivalentOutput": true
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+        "hardTimeoutSeconds": 90.0,
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+      "terminationGraceSeconds": 10.0,
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+      "longTestEnvironmentVariable": "RUN_TEST_MQL_8_LONG_REGRESSION"
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+            "head": "684d28752ac2fd011458befcb216b47aae692e3e",
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+            "dirty": true,
+            "status": [
+              "M tests/baselines/simulation/test_mql_8/manifest.json",
+              " M tests/data/test-mql-8.json",
+              " M tests/data/test-mql-8.xml",
+              " M tests/test_benchmark_regression.py",
+              " M tests/test_supported_piston_tangent.py"
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diff --git a/tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-opt00-approved-replay-0.2.json b/tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-opt00-approved-replay-0.2.json
new file mode 100644
index 0000000..263c3b8
--- /dev/null
+++ b/tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-opt00-approved-replay-0.2.json
@@ -0,0 +1,7680 @@
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+            "head": "684d28752ac2fd011458befcb216b47aae692e3e",
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+            "dirty": true,
+            "status": [
+              "M .github/workflows/solver-regression.yml",
+              " M README.md",
+              " M app/simulation/benchmark_regression.py",
+              " M \"docs/other/\\346\\261\\202\\350\\247\\243\\345\\231\\250\\346\\200\\247\\350\\203\\275\\344\\274\\230\\345\\214\\226\\344\\273\\273\\345\\212\\241\\346\\270\\205\\345\\215\\225.md\"",
+              " M requirements.txt",
+              " M tests/baselines/simulation/test_mql_8/manifest.json",
+              " M tests/baselines/simulation/test_mql_full_branches/manifest.json",
+              " M tests/data/test-mql-8.json",
+              " M tests/data/test-mql-8.xml",
+              " M tests/test_benchmark_regression.py",
+              " M tests/test_dependency_constraints.py",
+              " M tests/test_mql_full_branches_regression.py",
+              " M tests/test_supported_piston_tangent.py",
+              " M tests/test_test_mql_8_regression.py",
+              "?? app/simulation/physical_state_v21.py",
+              "?? constraints/python312-linux-x86_64.lock",
+              "?? tests/baselines/simulation/test_mql_8/goldens/candidates/production-0.2s-physical-state-v2.1-candidate.json",
+              "?? tests/baselines/simulation/test_mql_8/goldens/production-0.2s-physical-state-v2.1.json",
+              "?? tests/baselines/simulation/test_mql_8/goldens/production-0.2s-v2.json",
+              "?? tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-amesim-aligned-v1-candidate-0.2.json",
+              "?? tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-physical-state-v2.1-0.2.json",
+              "?? tests/baselines/simulation/test_mql_full_branches/goldens/production-0.81s-v1.json",
+              "?? tests/baselines/simulation/test_mql_full_branches/goldens/production-2.10s-v1.json",
+              "?? tests/baselines/simulation/test_mql_full_branches/runs/2026-08-18-opt00-historical-repeat-1.json",
+              "?? tests/baselines/simulation/test_mql_full_branches/runs/2026-08-18-opt00-historical-repeat-2.json",
+              "?? tests/baselines/simulation/test_mql_full_branches/runs/2026-08-18-opt00-historical-repeat-3.json",
+              "?? tests/test_physical_state_v21.py",
+              "?? tests/test_test_mql_ame_contract.py"
+            ]
+          },
+          "packages": {
+            "numpy": "2.5.2",
+            "scipy": "1.18.0",
+            "lxml": "6.1.1"
+          },
+          "environment": {
+            "SIMULATIONAPP_PROFILE": "standard",
+            "SIMULATION_ODE_JACOBIAN_MODE": "scipy",
+            "SIMULATIONAPP_PROPERTY_CACHE": "on",
+            "SIMULATION_CAUSAL_EXECUTOR_V2": "1",
+            "SIMULATION_CAUSAL_COORDINATE_KERNEL": "1",
+            "SIMULATION_CAUSAL_FAST_PATH": "1"
+          }
+        },
+        "summary": {
+          "success": true,
+          "status": "completed",
+          "partial": false,
+          "message": "The solver successfully reached the end of the integration interval.",
+          "simulatedUntil": 0.01,
+          "requestedStopTime": 0.01,
+          "variableCount": 1784,
+          "seriesHealth": {
+            "seriesCount": 1785,
+            "scalarCount": 3570,
+            "nonfiniteCount": 0,
+            "timeStrictlyIncreasing": true,
+            "timeStart": 0.0,
+            "timeEnd": 0.01
+          },
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+        "derivedConfiguration": {
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+          "python": "3.12.3 (main, Jun 19 2026, 12:46:00) [GCC 13.3.0]",
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+          "executable": "/home/lujz/projects/SystemSimulationApp/.venv/bin/python",
+          "platform": "Linux-6.8.0-111-generic-x86_64-with-glibc2.39",
+          "machine": "x86_64",
+          "processor": "x86_64",
+          "cpuCount": 16,
+          "repository": {
+            "root": "/home/lujz/projects/SystemSimulationApp",
+            "head": "684d28752ac2fd011458befcb216b47aae692e3e",
+            "branch": "model-development",
+            "dirty": true,
+            "status": [
+              "M .github/workflows/solver-regression.yml",
+              " M README.md",
+              " M app/simulation/benchmark_regression.py",
+              " M \"docs/other/\\346\\261\\202\\350\\247\\243\\345\\231\\250\\346\\200\\247\\350\\203\\275\\344\\274\\230\\345\\214\\226\\344\\273\\273\\345\\212\\241\\346\\270\\205\\345\\215\\225.md\"",
+              " M requirements.txt",
+              " M tests/baselines/simulation/test_mql_8/manifest.json",
+              " M tests/baselines/simulation/test_mql_full_branches/manifest.json",
+              " M tests/data/test-mql-8.json",
+              " M tests/data/test-mql-8.xml",
+              " M tests/test_benchmark_regression.py",
+              " M tests/test_dependency_constraints.py",
+              " M tests/test_mql_full_branches_regression.py",
+              " M tests/test_supported_piston_tangent.py",
+              " M tests/test_test_mql_8_regression.py",
+              "?? app/simulation/physical_state_v21.py",
+              "?? constraints/python312-linux-x86_64.lock",
+              "?? tests/baselines/simulation/test_mql_8/goldens/candidates/production-0.2s-physical-state-v2.1-candidate.json",
+              "?? tests/baselines/simulation/test_mql_8/goldens/production-0.2s-physical-state-v2.1.json",
+              "?? tests/baselines/simulation/test_mql_8/goldens/production-0.2s-v2.json",
+              "?? tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-amesim-aligned-v1-candidate-0.2.json",
+              "?? tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-physical-state-v2.1-0.2.json",
+              "?? tests/baselines/simulation/test_mql_full_branches/goldens/production-0.81s-v1.json",
+              "?? tests/baselines/simulation/test_mql_full_branches/goldens/production-2.10s-v1.json",
+              "?? tests/baselines/simulation/test_mql_full_branches/runs/2026-08-18-opt00-historical-repeat-1.json",
+              "?? tests/baselines/simulation/test_mql_full_branches/runs/2026-08-18-opt00-historical-repeat-2.json",
+              "?? tests/baselines/simulation/test_mql_full_branches/runs/2026-08-18-opt00-historical-repeat-3.json",
+              "?? tests/test_physical_state_v21.py",
+              "?? tests/test_test_mql_ame_contract.py"
+            ]
+          },
+          "packages": {
+            "numpy": "2.5.2",
+            "scipy": "1.18.0",
+            "lxml": "6.1.1"
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+            "SIMULATION_CAUSAL_EXECUTOR_V2": "1",
+            "SIMULATION_CAUSAL_COORDINATE_KERNEL": "1",
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diff --git a/tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-opt00-extension-decision.json b/tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-opt00-extension-decision.json
new file mode 100644
index 0000000..5ae0a78
--- /dev/null
+++ b/tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-opt00-extension-decision.json
@@ -0,0 +1,40 @@
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+      "reason": "predictedWallWithinSoftBudget"
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+      "outcome": "notEvaluated",
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+  "scopeReason": "OPT-00 closes at the approved production 0.2 s gate; longer progressive horizons remain separately staged work."
+}
diff --git a/tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-physical-state-v2.1-0.2.json b/tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-physical-state-v2.1-0.2.json
new file mode 100644
index 0000000..6785b71
--- /dev/null
+++ b/tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-physical-state-v2.1-0.2.json
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+      "bytes": 21708800,
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+      "resultStopTime": 10.0,
+      "resultSampleStep": 0.01,
+      "resultPointCount": 1002
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+    "companionProject": {
+      "path": "tests/data/test-mql-8.json",
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+      "bytes": 272592,
+      "executionInput": false
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+      "tStop": 10.0,
+      "sampleStep": 0.01,
+      "maxStep": 0.001,
+      "method": "BDF"
+    },
+    "resolvedPath": "/home/lujz/projects/SystemSimulationApp/tests/data/test-mql-8.xml",
+    "companionResolvedPath": "/home/lujz/projects/SystemSimulationApp/tests/data/test-mql-8.json"
+  },
+  "manifest": {
+    "schemaVersion": 1,
+    "id": "test_mql_8-progressive-v2",
+    "description": "Primary generic-solver regression target aligned to the test_mql AMESim archive, with a short smoke gate before staged extension.",
+    "source": {
+      "path": "tests/data/test-mql-8.xml",
+      "sha256": "0a2d9331df9eb5974daec25a61c1238ba32b1742d933ffc8b16ce316c5627b0b",
+      "bytes": 104110,
+      "xmlIsAuthoritative": true,
+      "referenceArchive": {
+        "path": "AmesimModels/test_mql.ame",
+        "sha256": "cbc3aadd4569a49b3a63e5d66d4143ec16126c0f950df73fb637e07673c20fbb",
+        "bytes": 21708800,
+        "resultStartTime": 0.0,
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+        "resultSampleStep": 0.01,
+        "resultPointCount": 1002
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+      "companionProject": {
+        "path": "tests/data/test-mql-8.json",
+        "sha256": "b44bf540ccd1c293fe2af2b9b9052b540abf83961ad955a0f6a4ab40fbe0bb18",
+        "bytes": 272592,
+        "executionInput": false
+      },
+      "simulation": {
+        "tStart": 0.0,
+        "tStop": 10.0,
+        "sampleStep": 0.01,
+        "maxStep": 0.001,
+        "method": "BDF"
+      }
+    },
+    "historicalReports": [
+      {
+        "path": "tests/baselines/simulation/test_mql_8/runs/2026-08-17-solver-only-v1.json",
+        "sha256": "ed0e8514c5fc083af6d403270eb0617fc20672ebb96460c355757d28d7059d0f",
+        "sourceXmlSha256": "42e2d6277d39bd5990cb322243bec8d71c40ff0696b440db3c8623f2ab15c2ee",
+        "status": "historicalOnly",
+        "compatibleWithCurrentSource": false,
+        "reason": "This report used the former spaced filename and 0.002 s sampleStep/maxStep. It is retained only as historical performance evidence and must never seed a v2 golden."
+      },
+      {
+        "path": "tests/baselines/simulation/test_mql_8/runs/2026-08-17-extension-decision.json",
+        "sha256": "d067bab69418ec21a11481f4a2c1fcb1ba1fc9528faeeb163ea5f466c2e2987f",
+        "sourceXmlSha256": "42e2d6277d39bd5990cb322243bec8d71c40ff0696b440db3c8623f2ab15c2ee",
+        "status": "historicalOnly",
+        "compatibleWithCurrentSource": false,
+        "reason": "This deferred-stage decision was calculated from the former 0.002 s source report and is not a runtime prediction for the renamed v2 source."
+      }
+    ],
+    "historicalGoldens": [
+      {
+        "path": "tests/baselines/simulation/test_mql_8/goldens/production-0.2s-v1.json",
+        "sha256": "99fa7b3631a89f59f86551847175f3701a1567d8d0bd10d87545734f17515d72",
+        "sourceXmlSha256": "170463d65d074da01f0f9e9dab730b3815c94c1cc80b5190ec2e3fe623da74d3",
+        "status": "historicalOnly",
+        "compatibleWithCurrentSource": false,
+        "reason": "This Python-state golden predates the four restored PNL0001 lines and the AMESim-aligned simulation settings; it must not approve the current source."
+      }
+    ],
+    "structure": {
+      "componentCount": 156,
+      "connectionCount": 178,
+      "dynamicComponentCount": 58,
+      "stateCount": 132,
+      "resultVariableCount": 1784,
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+      "compatibilityScatterCount": 776,
+      "jacobianNonzeroCount": 3280,
+      "jacobianColorGroupCount": 52,
+      "hasMechanicalStateEvents": true
+    },
+    "sequence": [
+      "0.01s-smoke",
+      "0.2s",
+      "1s",
+      "5s",
+      "10s"
+    ],
+    "lanes": {
+      "solver-only": {
+        "description": "Algorithm iteration and staged-extension lane: same XML and method, with an in-memory 0.02 s output grid and 0.05 s maximum step; signal breakpoints remain explicit solver segments.",
+        "samplingMode": "fixed",
+        "sampleStep": 0.02,
+        "maxStepMode": "fixed",
+        "maxStep": 0.05,
+        "instrumentationMode": "standard",
+        "productionEquivalentOutput": false
+      },
+      "production": {
+        "description": "Acceptance lane: changes only tStop and preserves the AMESim-aligned source 0.01 s output grid and 0.001 s internal-step cap.",
+        "samplingMode": "source",
+        "maxStepMode": "source",
+        "instrumentationMode": "standard",
+        "productionEquivalentOutput": true
+      }
+    },
+    "variants": {
+      "0.01s-smoke": {
+        "stopTime": 0.01,
+        "softTimeoutSeconds": 60.0,
+        "hardTimeoutSeconds": 90.0,
+        "useForRuntimePrediction": false,
+        "checkpointTimes": [
+          0.0,
+          0.01
+        ],
+        "expectedSignalEventTimes": []
+      },
+      "0.2s": {
+        "stopTime": 0.2,
+        "softTimeoutSeconds": 300.0,
+        "hardTimeoutSeconds": 360.0,
+        "checkpointTimes": [
+          0.0,
+          0.04,
+          0.2
+        ],
+        "expectedSignalEventTimes": [
+          0.04
+        ],
+        "expectedMechanicalTransitionTimes": [],
+        "goldens": {}
+      },
+      "1s": {
+        "stopTime": 1.0,
+        "softTimeoutSeconds": 1200.0,
+        "hardTimeoutSeconds": 1260.0,
+        "checkpointTimes": [
+          0.0,
+          0.04,
+          0.8,
+          1.0
+        ],
+        "expectedSignalEventTimes": [
+          0.04,
+          0.8
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+      },
+      "5s": {
+        "stopTime": 5.0,
+        "softTimeoutSeconds": 2700.0,
+        "hardTimeoutSeconds": 2760.0,
+        "checkpointTimes": [
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+          0.04,
+          0.8,
+          1.0,
+          2.0,
+          5.0
+        ],
+        "expectedSignalEventTimes": [
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+          0.8
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+      },
+      "10s": {
+        "stopTime": 10.0,
+        "softTimeoutSeconds": 5400.0,
+        "hardTimeoutSeconds": 5460.0,
+        "checkpointTimes": [
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+          0.04,
+          0.8,
+          1.0,
+          2.0,
+          5.0,
+          10.0
+        ],
+        "expectedSignalEventTimes": [
+          0.04,
+          0.8
+        ]
+      }
+    },
+    "correctness": {
+      "status": "partial",
+      "maximumScaledResidual": 1e-07,
+      "requireFiniteSeries": true,
+      "requireStrictlyIncreasingTimes": true,
+      "physicalProjectionCategories": [
+        "state"
+      ],
+      "stateRelativeTolerance": 0.0002,
+      "stateAbsoluteTolerance": 1e-09,
+      "checkpointTimeAbsoluteToleranceSeconds": 1e-12,
+      "eventTimeAbsoluteToleranceSeconds": 2e-05,
+      "signalEventTimeAbsoluteToleranceSeconds": 1e-12,
+      "mechanicalTransitionTimesAvailable": true,
+      "note": "Physical state checkpoints/events and the value-free output-shape contract are separate. The production 0.2 s variant has an approved state golden; longer horizons and critical algebraic projections remain pending."
+    },
+    "execution": {
+      "causalExecutorV2Default": true,
+      "environment": {
+        "SIMULATION_CAUSAL_EXECUTOR_V2": "1",
+        "SIMULATION_CAUSAL_COORDINATE_KERNEL": "1",
+        "SIMULATION_CAUSAL_FAST_PATH": "1",
+        "SIMULATION_ODE_JACOBIAN_MODE": "scipy",
+        "SIMULATIONAPP_PROPERTY_CACHE": "on"
+      },
+      "predictionSafetyFactor": 1.5,
+      "terminationGraceSeconds": 10.0,
+      "deferAfterFailureOrTimeout": true,
+      "deferWhenPredictedWallExceedsSoftTimeout": true,
+      "longTestEnvironmentVariable": "RUN_TEST_MQL_8_LONG_REGRESSION"
+    }
+  },
+  "cases": [
+    {
+      "caseId": "0.01s-smoke",
+      "stopTime": 0.01,
+      "sampleStep": 0.01,
+      "maxStep": 0.001,
+      "lane": "production",
+      "samplingMode": "source",
+      "maxStepMode": "source",
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+      "softTimeoutSeconds": 60.0,
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+      "outcome": "completed",
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+      "hardTimeoutReached": false,
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+      "returnCode": 0,
+      "lastSimulatedTime": 0.01,
+      "progressEventCount": 72,
+      "lastProgressEvent": {
+        "event": "progress",
+        "progress": 100,
+        "phase": "complete",
+        "message": "正在汇总仿真结果",
+        "simulatedTime": 0.01,
+        "totalTime": 0.01,
+        "wallSeconds": 12.233424415811896
+      },
+      "stderrTail": [],
+      "worker": {
+        "event": "result",
+        "outcome": "completed",
+        "sourceSha256": "0a2d9331df9eb5974daec25a61c1238ba32b1742d933ffc8b16ce316c5627b0b",
+        "sourcePath": "/home/lujz/projects/SystemSimulationApp/tests/data/test-mql-8.xml",
+        "derivedConfiguration": {
+          "stopTime": 0.01,
+          "sampleStep": 0.01,
+          "maxStep": 0.001,
+          "lane": "production",
+          "sourceXmlUnmodified": true
+        },
+        "wallSeconds": 12.261063113808632,
+        "cpuSeconds": 15.5065492,
+        "peakRssBytes": 140955648,
+        "peakRssRaw": 137652,
+        "peakRssRawUnit": "KiB",
+        "lastSimulatedTime": 0.01,
+        "runtime": {
+          "python": "3.12.3 (main, Jun 19 2026, 12:46:00) [GCC 13.3.0]",
+          "pythonImplementation": "CPython",
+          "executable": "/home/lujz/projects/SystemSimulationApp/.venv/bin/python",
+          "platform": "Linux-6.8.0-111-generic-x86_64-with-glibc2.39",
+          "machine": "x86_64",
+          "processor": "x86_64",
+          "cpuCount": 16,
+          "repository": {
+            "root": "/home/lujz/projects/SystemSimulationApp",
+            "head": "684d28752ac2fd011458befcb216b47aae692e3e",
+            "branch": "model-development",
+            "dirty": true,
+            "status": [
+              "M .github/workflows/solver-regression.yml",
+              " M README.md",
+              " M app/simulation/benchmark_regression.py",
+              " M \"docs/other/\\346\\261\\202\\350\\247\\243\\345\\231\\250\\346\\200\\247\\350\\203\\275\\344\\274\\230\\345\\214\\226\\344\\273\\273\\345\\212\\241\\346\\270\\205\\345\\215\\225.md\"",
+              " M requirements.txt",
+              " M tests/baselines/simulation/test_mql_8/manifest.json",
+              " M tests/baselines/simulation/test_mql_full_branches/manifest.json",
+              " M tests/data/test-mql-8.json",
+              " M tests/data/test-mql-8.xml",
+              " M tests/test_benchmark_regression.py",
+              " M tests/test_dependency_constraints.py",
+              " M tests/test_mql_full_branches_regression.py",
+              " M tests/test_supported_piston_tangent.py",
+              "?? app/simulation/physical_state_v21.py",
+              "?? constraints/python312-linux-x86_64.lock",
+              "?? tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-amesim-aligned-v1-candidate-0.2.json",
+              "?? tests/baselines/simulation/test_mql_full_branches/goldens/production-0.81s-v1.json",
+              "?? tests/baselines/simulation/test_mql_full_branches/goldens/production-2.10s-v1.json",
+              "?? tests/baselines/simulation/test_mql_full_branches/runs/2026-08-18-opt00-historical-repeat-1.json",
+              "?? tests/baselines/simulation/test_mql_full_branches/runs/2026-08-18-opt00-historical-repeat-2.json",
+              "?? tests/baselines/simulation/test_mql_full_branches/runs/2026-08-18-opt00-historical-repeat-3.json",
+              "?? tests/test_physical_state_v21.py",
+              "?? tests/test_test_mql_ame_contract.py"
+            ]
+          },
+          "packages": {
+            "numpy": "2.5.2",
+            "scipy": "1.18.0",
+            "lxml": "6.1.1"
+          },
+          "environment": {
+            "SIMULATIONAPP_PROFILE": "standard",
+            "SIMULATION_ODE_JACOBIAN_MODE": "scipy",
+            "SIMULATIONAPP_PROPERTY_CACHE": "on",
+            "SIMULATION_CAUSAL_EXECUTOR_V2": "1",
+            "SIMULATION_CAUSAL_COORDINATE_KERNEL": "1",
+            "SIMULATION_CAUSAL_FAST_PATH": "1"
+          }
+        },
+        "summary": {
+          "success": true,
+          "status": "completed",
+          "partial": false,
+          "message": "The solver successfully reached the end of the integration interval.",
+          "simulatedUntil": 0.01,
+          "requestedStopTime": 0.01,
+          "variableCount": 1784,
+          "seriesHealth": {
+            "seriesCount": 1785,
+            "scalarCount": 3570,
+            "nonfiniteCount": 0,
+            "timeStrictlyIncreasing": true,
+            "timeStart": 0.0,
+            "timeEnd": 0.01
+          },
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+              " M \"docs/other/\\346\\261\\202\\350\\247\\243\\345\\231\\250\\346\\200\\247\\350\\203\\275\\344\\274\\230\\345\\214\\226\\344\\273\\273\\345\\212\\241\\346\\270\\205\\345\\215\\225.md\"",
+              " M requirements.txt",
+              " M tests/baselines/simulation/test_mql_8/manifest.json",
+              " M tests/baselines/simulation/test_mql_full_branches/manifest.json",
+              " M tests/data/test-mql-8.json",
+              " M tests/data/test-mql-8.xml",
+              " M tests/test_benchmark_regression.py",
+              " M tests/test_dependency_constraints.py",
+              " M tests/test_mql_full_branches_regression.py",
+              " M tests/test_supported_piston_tangent.py",
+              "?? app/simulation/physical_state_v21.py",
+              "?? constraints/python312-linux-x86_64.lock",
+              "?? tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-amesim-aligned-v1-candidate-0.2.json",
+              "?? tests/baselines/simulation/test_mql_full_branches/goldens/production-0.81s-v1.json",
+              "?? tests/baselines/simulation/test_mql_full_branches/goldens/production-2.10s-v1.json",
+              "?? tests/baselines/simulation/test_mql_full_branches/runs/2026-08-18-opt00-historical-repeat-1.json",
+              "?? tests/baselines/simulation/test_mql_full_branches/runs/2026-08-18-opt00-historical-repeat-2.json",
+              "?? tests/baselines/simulation/test_mql_full_branches/runs/2026-08-18-opt00-historical-repeat-3.json",
+              "?? tests/test_physical_state_v21.py",
+              "?? tests/test_test_mql_ame_contract.py"
+            ]
+          },
+          "packages": {
+            "numpy": "2.5.2",
+            "scipy": "1.18.0",
+            "lxml": "6.1.1"
+          },
+          "environment": {
+            "SIMULATIONAPP_PROFILE": "standard",
+            "SIMULATION_ODE_JACOBIAN_MODE": "scipy",
+            "SIMULATIONAPP_PROPERTY_CACHE": "on",
+            "SIMULATION_CAUSAL_EXECUTOR_V2": "1",
+            "SIMULATION_CAUSAL_COORDINATE_KERNEL": "1",
+            "SIMULATION_CAUSAL_FAST_PATH": "1"
+          }
+        },
+        "summary": {
+          "success": true,
+          "status": "completed",
+          "partial": false,
+          "message": "The solver successfully reached the end of the integration interval.",
+          "simulatedUntil": 0.2,
+          "requestedStopTime": 0.2,
+          "variableCount": 1784,
+          "seriesHealth": {
+            "seriesCount": 1785,
+            "scalarCount": 37485,
+            "nonfiniteCount": 0,
+            "timeStrictlyIncreasing": true,
+            "timeStart": 0.0,
+            "timeEnd": 0.2
+          },
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diff --git a/tests/baselines/simulation/test_mql_full_branches/goldens/production-0.81s-v1.json b/tests/baselines/simulation/test_mql_full_branches/goldens/production-0.81s-v1.json
new file mode 100644
index 0000000..377ab83
--- /dev/null
+++ b/tests/baselines/simulation/test_mql_full_branches/goldens/production-0.81s-v1.json
@@ -0,0 +1,631 @@
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diff --git a/tests/baselines/simulation/test_mql_full_branches/goldens/production-2.10s-v1.json b/tests/baselines/simulation/test_mql_full_branches/goldens/production-2.10s-v1.json
new file mode 100644
index 0000000..ab50e23
--- /dev/null
+++ b/tests/baselines/simulation/test_mql_full_branches/goldens/production-2.10s-v1.json
@@ -0,0 +1,886 @@
+{
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+}
diff --git a/tests/baselines/simulation/test_mql_full_branches/manifest.json b/tests/baselines/simulation/test_mql_full_branches/manifest.json
index 8626487..9429d6d 100644
--- a/tests/baselines/simulation/test_mql_full_branches/manifest.json
+++ b/tests/baselines/simulation/test_mql_full_branches/manifest.json
@@ -1,7 +1,7 @@
 {
   "schemaVersion": 1,
   "id": "test_mql_full_branches-historical-v1",
-  "description": "Historical slow-region and 2.05 s regression target for the generic solver.",
+  "description": "Historical slow-region and 2.05 s production regression target with three locked-environment repeats and approved state goldens.",
   "source": {
     "path": "tests/data/test_mql-full-branches-01-04.xml",
     "sha256": "2fb95e65f5de0c85a6a17802aef74ea004087323fd00fd8d01acf0184ff71d48",
@@ -60,7 +60,7 @@
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@@ -68,7 +68,13 @@
         0.04,
         0.8
       ],
-      "expectedMechanicalTransitionTimes": []
+      "expectedMechanicalTransitionTimes": [],
+      "goldens": {
+        "production": {
+          "path": "tests/baselines/simulation/test_mql_full_branches/goldens/production-0.81s-v1.json",
+          "sha256": "72c4ccf995c7904f80598934bf59fe88cff2f9b85e003396befc4ae3f37a4e53"
+        }
+      }
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     "2.10s": {
       "stopTime": 2.1,
@@ -78,7 +84,7 @@
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-        0.70,
+        0.7,
         0.8,
         1.0,
         2.0,
@@ -88,19 +94,35 @@
       "expectedSignalEventTimes": [
         0.04,
         0.8
-      ]
+      ],
+      "expectedMechanicalTransitionTimes": [
+        1.1199696877773673,
+        1.1331667954945566,
+        1.2023983086085228
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+      "goldens": {
+        "production": {
+          "path": "tests/baselines/simulation/test_mql_full_branches/goldens/production-2.10s-v1.json",
+          "sha256": "5fced8349404c9dd1f6284b76af3f1e24ed0933df76fb4b5d2a419b719f64d4c"
+        }
+      }
     }
   },
   "correctness": {
-    "status": "partial",
-    "maximumScaledResidual": 1e-7,
+    "status": "complete",
+    "maximumScaledResidual": 1e-07,
     "requireFiniteSeries": true,
     "requireStrictlyIncreasingTimes": true,
     "stateRelativeTolerance": 0.0002,
-    "eventTimeAbsoluteToleranceSeconds": 0.00002,
+    "eventTimeAbsoluteToleranceSeconds": 2e-05,
     "signalEventTimeAbsoluteToleranceSeconds": 1e-12,
     "mechanicalTransitionTimesAvailable": true,
-    "note": "Historical checkpoints are recorded; approved physical-state-v2 golden values remain pending."
+    "note": "OPT-00 production 0.81/2.10 s state, event, output-shape, finite-series, residual, audit, and no-fallback contracts are approved and replayed exactly across three locked-environment runs.",
+    "physicalProjectionCategories": [
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+    ],
+    "stateAbsoluteTolerance": 1e-09,
+    "checkpointTimeAbsoluteToleranceSeconds": 1e-12
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     "causalExecutorV2Default": true,
@@ -116,5 +138,33 @@
     "deferAfterFailureOrTimeout": true,
     "deferWhenPredictedWallExceedsSoftTimeout": true,
     "longTestEnvironmentVariable": "RUN_TEST_MQL_FULL_BRANCHES_LONG_REGRESSION"
+  },
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+      {
+        "path": "tests/baselines/simulation/test_mql_full_branches/runs/2026-08-18-opt00-historical-repeat-3.json",
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+      "maximum": 115.86820452474058
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   }
 }
diff --git a/tests/baselines/simulation/test_mql_full_branches/runs/2026-08-18-opt00-historical-repeat-1.json b/tests/baselines/simulation/test_mql_full_branches/runs/2026-08-18-opt00-historical-repeat-1.json
new file mode 100644
index 0000000..5de7311
--- /dev/null
+++ b/tests/baselines/simulation/test_mql_full_branches/runs/2026-08-18-opt00-historical-repeat-1.json
@@ -0,0 +1,5925 @@
+{
+  "schemaVersion": 2,
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+  "manifestId": "test_mql_full_branches-historical-v1",
+  "manifestPath": "/home/lujz/projects/SystemSimulationApp/tests/baselines/simulation/test_mql_full_branches/manifest.json",
+  "lane": "production",
+  "laneDescription": "Acceptance lane preserving the authoritative XML output grid.",
+  "source": {
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+    "sha256": "2fb95e65f5de0c85a6a17802aef74ea004087323fd00fd8d01acf0184ff71d48",
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+    "xmlIsAuthoritative": true,
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+      "maxStep": 0.81,
+      "method": "BDF"
+    },
+    "resolvedPath": "/home/lujz/projects/SystemSimulationApp/tests/data/test_mql-full-branches-01-04.xml",
+    "companionResolvedPath": null
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+  "manifest": {
+    "schemaVersion": 1,
+    "id": "test_mql_full_branches-historical-v1",
+    "description": "Historical slow-region and 2.05 s regression target for the generic solver.",
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+      "dynamicComponentCount": 33,
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+      "resultVariableCount": 1021,
+      "pressureFlowUnknownCount": 472,
+      "pressureFlowEquationCount": 472,
+      "pressureFlowIsSquare": true,
+      "logicalEffortCoordinateCount": 68,
+      "eliminatedEffortAliasCount": 204,
+      "canonicalCoordinateCount": 268,
+      "compatibilityScatterCount": 472,
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+      "jacobianColorGroupCount": 31,
+      "hasMechanicalStateEvents": true
+    },
+    "sequence": [
+      "0.81s",
+      "2.10s"
+    ],
+    "lanes": {
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+        "samplingMode": "fixed",
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+        "instrumentationMode": "standard",
+        "productionEquivalentOutput": true
+      },
+      "production": {
+        "description": "Acceptance lane preserving the authoritative XML output grid.",
+        "samplingMode": "source",
+        "instrumentationMode": "standard",
+        "productionEquivalentOutput": true
+      }
+    },
+    "variants": {
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+          0.04,
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+          0.7,
+          0.8,
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+      },
+      "2.10s": {
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+        "softTimeoutSeconds": 300.0,
+        "hardTimeoutSeconds": 360.0,
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+          0.04,
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+          0.7,
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+          2.1
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+        ]
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+    "correctness": {
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+      "maximumScaledResidual": 1e-07,
+      "requireFiniteSeries": true,
+      "requireStrictlyIncreasingTimes": true,
+      "stateRelativeTolerance": 0.0002,
+      "eventTimeAbsoluteToleranceSeconds": 2e-05,
+      "signalEventTimeAbsoluteToleranceSeconds": 1e-12,
+      "mechanicalTransitionTimesAvailable": true,
+      "note": "Historical checkpoints are recorded; approved physical-state-v2 golden values remain pending."
+    },
+    "execution": {
+      "causalExecutorV2Default": true,
+      "environment": {
+        "SIMULATION_CAUSAL_EXECUTOR_V2": "1",
+        "SIMULATION_CAUSAL_COORDINATE_KERNEL": "1",
+        "SIMULATION_CAUSAL_FAST_PATH": "1",
+        "SIMULATION_ODE_JACOBIAN_MODE": "scipy",
+        "SIMULATIONAPP_PROPERTY_CACHE": "on"
+      },
+      "predictionSafetyFactor": 1.5,
+      "terminationGraceSeconds": 10.0,
+      "deferAfterFailureOrTimeout": true,
+      "deferWhenPredictedWallExceedsSoftTimeout": true,
+      "longTestEnvironmentVariable": "RUN_TEST_MQL_FULL_BRANCHES_LONG_REGRESSION"
+    }
+  },
+  "cases": [
+    {
+      "caseId": "0.81s",
+      "stopTime": 0.81,
+      "sampleStep": 0.01,
+      "maxStep": 0.81,
+      "lane": "production",
+      "samplingMode": "source",
+      "maxStepMode": "source",
+      "runtimePredictionEligible": true,
+      "predictedWallSeconds": null,
+      "softTimeoutSeconds": 180.0,
+      "hardTimeoutSeconds": 240.0,
+      "outcome": "completed",
+      "softCancelSent": false,
+      "hardTimeoutReached": false,
+      "orchestrationWallSeconds": 59.389642452821136,
+      "returnCode": 0,
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+      "progressEventCount": 178,
+      "lastProgressEvent": {
+        "event": "progress",
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+        "phase": "complete",
+        "message": "正在汇总仿真结果",
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+        "totalTime": 0.81,
+        "wallSeconds": 58.70279074460268
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+      "worker": {
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+        "outcome": "completed",
+        "sourceSha256": "2fb95e65f5de0c85a6a17802aef74ea004087323fd00fd8d01acf0184ff71d48",
+        "sourcePath": "/home/lujz/projects/SystemSimulationApp/tests/data/test_mql-full-branches-01-04.xml",
+        "derivedConfiguration": {
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+          "sampleStep": 0.01,
+          "maxStep": 0.81,
+          "lane": "production",
+          "sourceXmlUnmodified": true
+        },
+        "wallSeconds": 58.727659253403544,
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+        "peakRssRaw": 163616,
+        "peakRssRawUnit": "KiB",
+        "lastSimulatedTime": 0.81,
+        "runtime": {
+          "python": "3.12.3 (main, Jun 19 2026, 12:46:00) [GCC 13.3.0]",
+          "pythonImplementation": "CPython",
+          "executable": "/home/lujz/projects/SystemSimulationApp/.venv/bin/python",
+          "platform": "Linux-6.8.0-111-generic-x86_64-with-glibc2.39",
+          "machine": "x86_64",
+          "processor": "x86_64",
+          "cpuCount": 16,
+          "repository": {
+            "root": "/home/lujz/projects/SystemSimulationApp",
+            "head": "684d28752ac2fd011458befcb216b47aae692e3e",
+            "branch": "model-development",
+            "dirty": true,
+            "status": [
+              "M .github/workflows/solver-regression.yml",
+              " M README.md",
+              " M requirements.txt",
+              " M tests/baselines/simulation/test_mql_8/manifest.json",
+              " M tests/data/test-mql-8.json",
+              " M tests/data/test-mql-8.xml",
+              " M tests/test_benchmark_regression.py",
+              " M tests/test_dependency_constraints.py",
+              " M tests/test_supported_piston_tangent.py",
+              "?? constraints/python312-linux-x86_64.lock",
+              "?? tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-amesim-aligned-v1-candidate-0.2.json"
+            ]
+          },
+          "packages": {
+            "numpy": "2.5.2",
+            "scipy": "1.18.0",
+            "lxml": "6.1.1"
+          },
+          "environment": {
+            "SIMULATIONAPP_PROFILE": "standard",
+            "SIMULATION_ODE_JACOBIAN_MODE": "scipy",
+            "SIMULATIONAPP_PROPERTY_CACHE": "on",
+            "SIMULATION_CAUSAL_EXECUTOR_V2": "1",
+            "SIMULATION_CAUSAL_COORDINATE_KERNEL": "1",
+            "SIMULATION_CAUSAL_FAST_PATH": "1"
+          }
+        },
+        "summary": {
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+          "message": "The solver successfully reached the end of the integration interval.",
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+          "requestedStopTime": 0.81,
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+          "seriesHealth": {
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diff --git a/tests/baselines/simulation/test_mql_full_branches/runs/2026-08-18-opt00-historical-repeat-2.json b/tests/baselines/simulation/test_mql_full_branches/runs/2026-08-18-opt00-historical-repeat-2.json
new file mode 100644
index 0000000..d8c4a1f
--- /dev/null
+++ b/tests/baselines/simulation/test_mql_full_branches/runs/2026-08-18-opt00-historical-repeat-2.json
@@ -0,0 +1,5929 @@
+{
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+  "lane": "production",
+  "laneDescription": "Acceptance lane preserving the authoritative XML output grid.",
+  "source": {
+    "path": "tests/data/test_mql-full-branches-01-04.xml",
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+              "M .github/workflows/solver-regression.yml",
+              " M README.md",
+              " M requirements.txt",
+              " M tests/baselines/simulation/test_mql_8/manifest.json",
+              " M tests/data/test-mql-8.json",
+              " M tests/data/test-mql-8.xml",
+              " M tests/test_benchmark_regression.py",
+              " M tests/test_dependency_constraints.py",
+              " M tests/test_supported_piston_tangent.py",
+              "?? app/simulation/physical_state_v21.py",
+              "?? constraints/python312-linux-x86_64.lock",
+              "?? tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-amesim-aligned-v1-candidate-0.2.json",
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+              " M README.md",
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+              " M tests/baselines/simulation/test_mql_8/manifest.json",
+              " M tests/data/test-mql-8.json",
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+              "?? tests/baselines/simulation/test_mql_full_branches/runs/2026-08-18-opt00-historical-repeat-1.json",
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diff --git a/tests/baselines/simulation/test_mql_full_branches/runs/2026-08-18-opt00-historical-repeat-3.json b/tests/baselines/simulation/test_mql_full_branches/runs/2026-08-18-opt00-historical-repeat-3.json
new file mode 100644
index 0000000..81b1036
--- /dev/null
+++ b/tests/baselines/simulation/test_mql_full_branches/runs/2026-08-18-opt00-historical-repeat-3.json
@@ -0,0 +1,5934 @@
+{
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+      "longTestEnvironmentVariable": "RUN_TEST_MQL_FULL_BRANCHES_LONG_REGRESSION"
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+        "runtime": {
+          "python": "3.12.3 (main, Jun 19 2026, 12:46:00) [GCC 13.3.0]",
+          "pythonImplementation": "CPython",
+          "executable": "/home/lujz/projects/SystemSimulationApp/.venv/bin/python",
+          "platform": "Linux-6.8.0-111-generic-x86_64-with-glibc2.39",
+          "machine": "x86_64",
+          "processor": "x86_64",
+          "cpuCount": 16,
+          "repository": {
+            "root": "/home/lujz/projects/SystemSimulationApp",
+            "head": "684d28752ac2fd011458befcb216b47aae692e3e",
+            "branch": "model-development",
+            "dirty": true,
+            "status": [
+              "M .github/workflows/solver-regression.yml",
+              " M README.md",
+              " M requirements.txt",
+              " M tests/baselines/simulation/test_mql_8/manifest.json",
+              " M tests/data/test-mql-8.json",
+              " M tests/data/test-mql-8.xml",
+              " M tests/test_benchmark_regression.py",
+              " M tests/test_dependency_constraints.py",
+              " M tests/test_supported_piston_tangent.py",
+              "?? app/simulation/physical_state_v21.py",
+              "?? constraints/python312-linux-x86_64.lock",
+              "?? tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-amesim-aligned-v1-candidate-0.2.json",
+              "?? tests/baselines/simulation/test_mql_full_branches/runs/2026-08-18-opt00-historical-repeat-1.json",
+              "?? tests/baselines/simulation/test_mql_full_branches/runs/2026-08-18-opt00-historical-repeat-2.json",
+              "?? tests/test_test_mql_ame_contract.py"
+            ]
+          },
+          "packages": {
+            "numpy": "2.5.2",
+            "scipy": "1.18.0",
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+          "python": "3.12.3 (main, Jun 19 2026, 12:46:00) [GCC 13.3.0]",
+          "pythonImplementation": "CPython",
+          "executable": "/home/lujz/projects/SystemSimulationApp/.venv/bin/python",
+          "platform": "Linux-6.8.0-111-generic-x86_64-with-glibc2.39",
+          "machine": "x86_64",
+          "processor": "x86_64",
+          "cpuCount": 16,
+          "repository": {
+            "root": "/home/lujz/projects/SystemSimulationApp",
+            "head": "684d28752ac2fd011458befcb216b47aae692e3e",
+            "branch": "model-development",
+            "dirty": true,
+            "status": [
+              "M .github/workflows/solver-regression.yml",
+              " M README.md",
+              " M app/simulation/benchmark_regression.py",
+              " M \"docs/other/\\346\\261\\202\\350\\247\\243\\345\\231\\250\\346\\200\\247\\350\\203\\275\\344\\274\\230\\345\\214\\226\\344\\273\\273\\345\\212\\241\\346\\270\\205\\345\\215\\225.md\"",
+              " M requirements.txt",
+              " M tests/baselines/simulation/test_mql_8/manifest.json",
+              " M tests/data/test-mql-8.json",
+              " M tests/data/test-mql-8.xml",
+              " M tests/test_benchmark_regression.py",
+              " M tests/test_dependency_constraints.py",
+              " M tests/test_supported_piston_tangent.py",
+              "?? app/simulation/physical_state_v21.py",
+              "?? constraints/python312-linux-x86_64.lock",
+              "?? tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-amesim-aligned-v1-candidate-0.2.json",
+              "?? tests/baselines/simulation/test_mql_full_branches/runs/2026-08-18-opt00-historical-repeat-1.json",
+              "?? tests/baselines/simulation/test_mql_full_branches/runs/2026-08-18-opt00-historical-repeat-2.json",
+              "?? tests/test_test_mql_ame_contract.py"
+            ]
+          },
+          "packages": {
+            "numpy": "2.5.2",
+            "scipy": "1.18.0",
+            "lxml": "6.1.1"
+          },
+          "environment": {
+            "SIMULATIONAPP_PROFILE": "standard",
+            "SIMULATION_ODE_JACOBIAN_MODE": "scipy",
+            "SIMULATIONAPP_PROPERTY_CACHE": "on",
+            "SIMULATION_CAUSAL_EXECUTOR_V2": "1",
+            "SIMULATION_CAUSAL_COORDINATE_KERNEL": "1",
+            "SIMULATION_CAUSAL_FAST_PATH": "1"
+          }
+        },
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+          "success": true,
+          "status": "completed",
+          "partial": false,
+          "message": "The solver successfully reached the end of the integration interval.",
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+                "pneumatic_65.m": 0.0050823610773067076,
+                "pneumatic_65.U": -4285.669856693608,
+                "pn_c1_11.m": 0.6574025955544724,
+                "pn_c1_11.U": -453182.789784899,
+                "mass_friction_endstops_13.a": -9.438255801796913e-08,
+                "mass_friction_endstops_13.v": 6.84894782408154e-08,
+                "mass_friction_endstops_13.x": 0.3700023619835146
+              }
+            },
+            {
+              "requestedTime": 2.1,
+              "actualTime": 2.1,
+              "available": true,
+              "stateValues": {
+                "pn_general_chamber.m": 0.9383213576466783,
+                "pn_general_chamber.U": -802747.7609731702,
+                "pneumatic_96.m": 0.002533854003606723,
+                "pneumatic_96.U": -2167.569222453132,
+                "branch_boundary_pnl00r_chamber.m": 0.938322968645941,
+                "branch_boundary_pnl00r_chamber.U": -802748.5416937041,
+                "pneumatic_87.m1": 0.000775027662068701,
+                "pneumatic_87.U1": -662.5313698561031,
+                "pneumatic_87.m2": 0.0007706784939136677,
+                "pneumatic_87.U2": -655.7022069331298,
+                "pneumatic_83.m": 0.009897446602767727,
+                "pneumatic_83.U": -8148.173078272971,
+                "pneumatic_95.m": 0.010032755291451692,
+                "pneumatic_95.U": -8360.714717131163,
+                "branch_boundary_pnl0002_b_chamber.m": 0.919232833810773,
+                "branch_boundary_pnl0002_b_chamber.U": -772729.849215003,
+                "pneumatic_69.m": 0.005009690268749923,
+                "pneumatic_69.U": -4169.822929680966,
+                "pn_c1_8.m": 0.6570381273931875,
+                "pn_c1_8.U": -452333.9264734677,
+                "mass_friction_endstops_10.a": -1.5475961845368147e-07,
+                "mass_friction_endstops_10.v": 6.633051283469949e-08,
+                "mass_friction_endstops_10.x": 0.3700023653554917,
+                "mass_friction_endstops_19.a": 0.0,
+                "mass_friction_endstops_19.v": -3.1507286064810157e-13,
+                "mass_friction_endstops_19.x": -0.72,
+                "mass_friction_endstops_18.a": 0.0,
+                "mass_friction_endstops_18.v": -1.164558438137342e-19,
+                "mass_friction_endstops_18.x": 0.37,
+                "pneumatic_97.m": 0.0025322965276950117,
+                "pneumatic_97.U": -2165.094351906718,
+                "pneumatic_88.m1": 0.0007747218750818736,
+                "pneumatic_88.U1": -662.0363583491554,
+                "pneumatic_88.m2": 0.0007726291061561864,
+                "pneumatic_88.U2": -658.7501715937773,
+                "pneumatic_86.m": 0.005759128268286419,
+                "pneumatic_86.U": -1652.8900562718827,
+                "pneumatic_68.m": 0.0050797776289221675,
+                "pneumatic_68.U": -4279.83737473691,
+                "pn_c1_9.m": 0.6468152214977394,
+                "pn_c1_9.U": -436285.00323808845,
+                "mass_friction_endstops_11.a": -1.6945006791502238e-07,
+                "mass_friction_endstops_11.v": 8.0606090679709e-08,
+                "mass_friction_endstops_11.x": 0.3700023510933796,
+                "pn_general_chamber_2.m": 0.9383213576459569,
+                "pn_general_chamber_2.U": -802747.7609716613,
+                "pneumatic_98.m": 0.0025322965223399637,
+                "pneumatic_98.U": -2165.0943434975566,
+                "pneumatic_75.m1": 0.0007747218486607169,
+                "pneumatic_75.U1": -662.0363168630721,
+                "pneumatic_75.m2": 0.0007726291344808584,
+                "pneumatic_75.U2": -658.7502160682232,
+                "pneumatic_80.m": 0.00989744668242247,
+                "pneumatic_80.U": -8148.173203124546,
+                "pneumatic_66.m": 0.005079777604819243,
+                "pneumatic_66.U": -4279.837336800422,
+                "pn_c1_10.m": 0.646815227151306,
+                "pn_c1_10.U": -436285.01209659013,
+                "mass_friction_endstops_12.a": -1.6974110621958972e-07,
+                "mass_friction_endstops_12.v": 8.060609824063203e-08,
+                "mass_friction_endstops_12.x": 0.3700023510933721,
+                "pneumatic_99.m": 0.002533853968955365,
+                "pneumatic_99.U": -2167.569167946825,
+                "branch_boundary_pnl00r_branch05_chamber.m": 0.9383229687007891,
+                "branch_boundary_pnl00r_branch05_chamber.U": -802748.5417139007,
+                "pneumatic_76.m1": 0.0007750276677438138,
+                "pneumatic_76.U1": -662.5313787250212,
+                "pneumatic_76.m2": 0.0007706784944489166,
+                "pneumatic_76.U2": -655.702207731343,
+                "pneumatic_85.m": 0.010032755342377334,
+                "pneumatic_85.U": -8360.714796856231,
+                "branch_boundary_pnl0002_branch05_chamber.m": 0.9192328344649761,
+                "branch_boundary_pnl0002_branch05_chamber.U": -772729.8502213629,
+                "pneumatic_65.m": 0.005009690287404794,
+                "pneumatic_65.U": -4169.822958852925,
+                "pn_c1_11.m": 0.6570381274463638,
+                "pn_c1_11.U": -452333.92653835827,
+                "mass_friction_endstops_13.a": -1.5545636415481566e-07,
+                "mass_friction_endstops_13.v": 6.633051807899984e-08,
+                "mass_friction_endstops_13.x": 0.37000236535548653
+              }
+            }
+          ],
+          "diagnostics": {
+            "integration": {
+              "method": "BDF",
+              "jacobianSparsity": {
+                "nonzeroCount": 1284,
+                "density": 0.23447772096420746,
+                "colorGroupCount": 31
+              },
+              "jacobian": {
+                "mode": "scipySparseFiniteDifference",
+                "fallbackReason": null,
+                "jacobianEvaluationCount": 468,
+                "fullBuildCount": 468,
+                "finiteDifferenceRhsEstimateIsExact": false
+              },
+              "segmentCount": 3,
+              "segments": [
+                {
+                  "startTime": 0.0,
+                  "requestedStopTime": 0.04,
+                  "simulatedUntil": 0.04,
+                  "nfev": 1856,
+                  "njev": 86,
+                  "nlu": 295,
+                  "acceptedStepCount": 603,
+                  "solverStartCount": 1,
+                  "stateTransitionCount": 0,
+                  "recoverableRetryCount": 0,
+                  "finiteDifferenceRhsEstimate": 2666
+                },
+                {
+                  "startTime": 0.04,
+                  "requestedStopTime": 0.8,
+                  "simulatedUntil": 0.8,
+                  "nfev": 1832,
+                  "njev": 155,
+                  "nlu": 453,
+                  "acceptedStepCount": 414,
+                  "solverStartCount": 1,
+                  "stateTransitionCount": 0,
+                  "recoverableRetryCount": 0,
+                  "finiteDifferenceRhsEstimate": 4805
+                },
+                {
+                  "startTime": 0.8,
+                  "requestedStopTime": 2.1,
+                  "simulatedUntil": 2.1,
+                  "nfev": 2929,
+                  "njev": 227,
+                  "nlu": 707,
+                  "acceptedStepCount": 800,
+                  "solverStartCount": 4,
+                  "stateTransitionCount": 3,
+                  "recoverableRetryCount": 0,
+                  "stateTransitionTimes": [
+                    1.1199696877773673,
+                    1.1331667954945566,
+                    1.2023983086085228
+                  ],
+                  "finiteDifferenceRhsEstimate": 7037
+                }
+              ],
+              "totals": {
+                "nfev": 6617,
+                "njev": 468,
+                "nlu": 1455,
+                "acceptedStepCount": 1817,
+                "solverStartCount": 6,
+                "stateTransitionCount": 3,
+                "recoverableRetryCount": 0,
+                "finiteDifferenceRhsEstimate": 14508,
+                "jacobianRhsEvaluationCountEstimate": 14976
+              }
+            },
+            "pressureFlow": {
+              "solveCount": 55881,
+              "seededSolveCount": 55881,
+              "nonlinearSolveCount": 0,
+              "fastPathHitRate": 1.0,
+              "optimizerEvaluationCount": 0,
+              "residualEvaluationCount": 0,
+              "blockFallbackCount": 0,
+              "denseFallbackCount": 0,
+              "closurePassCount": 55881,
+              "secondaryPhysicalIslandCount": 1,
+              "secondaryBlockCount": 9,
+              "secondaryUnknownCount": 192,
+              "equationBlockFallbackReasons": [],
+              "usesConservativeGlobalCoupling": false,
+              "couplingPlanFallbackReason": null,
+              "maxScaledResidual": 1.0700979760449996e-16,
+              "maxEvaluationsPerSolve": 0,
+              "maxResidualEvaluationsPerSolve": 0,
+              "lastScope": [
+                "pn_general_chamber",
+                "pn_orifice_19",
+                "pneumatic_97",
+                "pn_node3_9",
+                "pneumatic_100",
+                "pneumatic_88",
+                "pn_general_chamber_2",
+                "pn_orifice_20",
+                "pneumatic_98",
+                "pn_node3_10",
+                "pneumatic_75",
+                "pn_orifice_18",
+                "pneumatic_96",
+                "pn_node3_8",
+                "pneumatic_105",
+                "branch_boundary_pnl00r_chamber",
+                "pneumatic_87",
+                "pn_morifice_1",
+                "pnnode4_16",
+                "pneumatic_83",
+                "pneumatic_95",
+                "pneumatic_69",
+                "pn_c1_8",
+                "pn_morifice_9",
+                "pnnode4_17",
+                "pneumatic_86",
+                "pneumatic_68",
+                "pn_c1_9",
+                "branch_boundary_pnl0002_b_chamber",
+                "pn_morifice_10",
+                "pnnode4_18",
+                "pneumatic_80",
+                "pneumatic_66",
+                "pn_c1_10",
+                "pn_orifice_21",
+                "pneumatic_99",
+                "pn_node3_11",
+                "pneumatic_107",
+                "branch_boundary_pnl00r_branch05_chamber",
+                "pneumatic_76",
+                "pn_morifice_15",
+                "pnnode4_19",
+                "pneumatic_85",
+                "pneumatic_65",
+                "pn_c1_11",
+                "branch_boundary_pnl0002_branch05_chamber"
+              ],
+              "last": {
+                "success": true,
+                "message": "Compiled causal stream-pressure block completed; residuals reuse the latest full audit.",
+                "evaluations": 0,
+                "pressureScale": 7839705.175624134,
+                "flowScale": 0.008979311485379313,
+                "maxScaledResidual": 0.0,
+                "maxRawResidual": 0.0,
+                "residualEvaluations": 0,
+                "jacobianMode": "seeded",
+                "denseFallbackUsed": false,
+                "nonlinearBlockCount": 0,
+                "nonlinearBlockUnknownCount": 0,
+                "blockFallbackUsed": false,
+                "blockFallbackReason": null,
+                "residualVerifiedThisSolve": false,
+                "causalFastPathUsed": true
+              },
+              "causalExecution": {
+                "eligible": true,
+                "enabled": true,
+                "fallbackReason": null,
+                "disabledReason": null,
+                "fastSolveCount": 21511,
+                "fullResidualAuditCount": 339,
+                "auditFailureCount": 0,
+                "legacyFallbackCount": 0,
+                "auditInterval": 64,
+                "solvesSinceAudit": 58,
+                "lastVerifiedMaxScaledResidual": 5.67684205563673e-17,
+                "executorV2Configured": true,
+                "executorV2Enabled": true,
+                "executorV2FastSolveCount": 21511,
+                "executorV2RuntimeValidationFailureCount": 0,
+                "coordinateKernelConfigured": true,
+                "coordinateKernelEnabled": true,
+                "coordinateKernelFastSolveCount": 21511,
+                "compiledEffortUnknownCount": 272,
+                "compiledFlowAssignmentCount": 200,
+                "compiledAssignmentCount": 472,
+                "logicalEffortCoordinateCount": 68,
+                "eliminatedEffortAliasCount": 204,
+                "canonicalCoordinateCount": 268,
+                "compatibilityScatterCount": 472
+              },
+              "secondaryCausalExecution": [
+                {
+                  "eligible": true,
+                  "enabled": true,
+                  "fallbackReason": null,
+                  "disabledReason": null,
+                  "fastSolveCount": 33505,
+                  "fullResidualAuditCount": 526,
+                  "auditFailureCount": 0,
+                  "legacyFallbackCount": 0,
+                  "auditInterval": 64,
+                  "solvesSinceAudit": 7,
+                  "lastVerifiedMaxScaledResidual": 0.0,
+                  "executorV2Configured": true,
+                  "executorV2Enabled": true,
+                  "executorV2FastSolveCount": 33505,
+                  "executorV2RuntimeValidationFailureCount": 0,
+                  "coordinateKernelConfigured": true,
+                  "coordinateKernelEnabled": true,
+                  "coordinateKernelFastSolveCount": 33505,
+                  "compiledEffortUnknownCount": 96,
+                  "compiledFlowAssignmentCount": 96,
+                  "compiledAssignmentCount": 192
+                }
+              ]
+            },
+            "stream": {
+              "maxIterationsPerSolve": 4,
+              "maxThermofluidIterations": 2,
+              "thermofluidClosure": {
+                "failureCount": 0,
+                "lastFailure": null,
+                "lastSuccess": {
+                  "rhsTime": 2.1,
+                  "iterations": 2,
+                  "maxDelta": 0.0,
+                  "scale": 1.0,
+                  "tolerance": 1e-12,
+                  "worstPort": null
+                },
+                "transaction": {
+                  "physicalPortValueSlotCount": 856,
+                  "physicalFlowPortCount": 200,
+                  "componentCount": 98,
+                  "cacheBindingCount": 36,
+                  "streamAndCausalCacheSlotCount": 56,
+                  "customCacheHookCount": 0,
+                  "diagnosticOwnerCount": 4
+                }
+              },
+              "last": {
+                "converged": true,
+                "iterations": 2,
+                "maxDelta": 0.0
+              }
+            },
+            "signal": {
+              "propagations": 131100,
+              "eventTimes": [
+                0.04,
+                0.8
+              ],
+              "last": {
+                "propagated": 6
+              }
+            },
+            "pneumaticVolume": {
+              "propagations": 87400,
+              "last": {
+                "propagated": 4,
+                "outputPorts": [
+                  "pn_brp2_10.port_1",
+                  "pn_brp2_11.port_1",
+                  "pn_brp2_8.port_1",
+                  "pn_brp2_9.port_1"
+                ]
+              }
+            },
+            "stateCount": 74,
+            "sampleCount": 214,
+            "performance": {
+              "mode": "standard",
+              "phases": {
+                "simulation.integration": {
+                  "calls": 1,
+                  "inclusiveNs": 112174421892,
+                  "selfNs": 112174421892,
+                  "maxNs": 112174421892,
+                  "errors": 0
+                },
+                "simulation.network_compilation": {
+                  "calls": 1,
+                  "inclusiveNs": 16240928,
+                  "selfNs": 16240928,
+                  "maxNs": 16240928,
+                  "errors": 0
+                },
+                "simulation.postprocessing": {
+                  "calls": 1,
+                  "inclusiveNs": 2722167710,
+                  "selfNs": 2722167710,
+                  "maxNs": 2722167710,
+                  "errors": 0
+                },
+                "simulation.response_assembly": {
+                  "calls": 1,
+                  "inclusiveNs": 22038215,
+                  "selfNs": 22038215,
+                  "maxNs": 22038215,
+                  "errors": 0
+                },
+                "simulation.result_assembly": {
+                  "calls": 1,
+                  "inclusiveNs": 7044328,
+                  "selfNs": 7044328,
+                  "maxNs": 7044328,
+                  "errors": 0
+                },
+                "simulation.sample_initialization": {
+                  "calls": 1,
+                  "inclusiveNs": 253297627,
+                  "selfNs": 253297627,
+                  "maxNs": 253297627,
+                  "errors": 0
+                },
+                "simulation.system_construction": {
+                  "calls": 1,
+                  "inclusiveNs": 135413598,
+                  "selfNs": 135413598,
+                  "maxNs": 135413598,
+                  "errors": 0
+                },
+                "simulation.total": {
+                  "calls": 1,
+                  "inclusiveNs": 115341289545,
+                  "selfNs": 1779358,
+                  "maxNs": 115341289545,
+                  "errors": 0
+                },
+                "simulation.xml_validation": {
+                  "calls": 1,
+                  "inclusiveNs": 8885889,
+                  "selfNs": 8885889,
+                  "maxNs": 8885889,
+                  "errors": 0
+                }
+              },
+              "properties": {},
+              "propertyOutermostNs": 0
+            }
+          },
+          "eventTrace": {
+            "signalEventTimes": [
+              0.04,
+              0.8
+            ],
+            "stateTransitionCount": 3,
+            "mechanicalTransitionTimes": [
+              1.1199696877773673,
+              1.1331667954945566,
+              1.2023983086085228
+            ],
+            "solverStartCount": 6,
+            "segments": [
+              {
+                "startTime": 0.0,
+                "requestedStopTime": 0.04,
+                "simulatedUntil": 0.04,
+                "solverStartCount": 1,
+                "stateTransitionCount": 0,
+                "stateTransitionTimes": null,
+                "recoverableRetryCount": 0
+              },
+              {
+                "startTime": 0.04,
+                "requestedStopTime": 0.8,
+                "simulatedUntil": 0.8,
+                "solverStartCount": 1,
+                "stateTransitionCount": 0,
+                "stateTransitionTimes": null,
+                "recoverableRetryCount": 0
+              },
+              {
+                "startTime": 0.8,
+                "requestedStopTime": 2.1,
+                "simulatedUntil": 2.1,
+                "solverStartCount": 4,
+                "stateTransitionCount": 3,
+                "stateTransitionTimes": [
+                  1.1199696877773673,
+                  1.1331667954945566,
+                  1.2023983086085228
+                ],
+                "recoverableRetryCount": 0
+              }
+            ],
+            "mechanicalTransitionTimesAvailable": true
+          }
+        }
+      },
+      "acceptance": {
+        "evaluated": true,
+        "passed": true,
+        "issues": [],
+        "regressionGolden": {
+          "configured": false,
+          "evaluated": false,
+          "passed": null,
+          "issues": []
+        }
+      }
+    }
+  ]
+}
diff --git a/tests/data/test-mql-8.json b/tests/data/test-mql-8.json
index 9570e6c..9a419ba 100644
--- a/tests/data/test-mql-8.json
+++ b/tests/data/test-mql-8.json
@@ -10196,9 +10196,9 @@
   ],
   "simulation": {
     "t_start": 0,
-    "t_stop": 5,
-    "step": 0.005,
-    "max_step": 0.005,
+    "t_stop": 10,
+    "step": 0.01,
+    "max_step": 0.001,
     "method": "BDF"
   }
-}
\ No newline at end of file
+}
diff --git a/tests/data/test-mql-8.xml b/tests/data/test-mql-8.xml
index 0a761be..85fcd80 100644
--- a/tests/data/test-mql-8.xml
+++ b/tests/data/test-mql-8.xml
@@ -1,6 +1,6 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <System name="test-mql-8" schemaVersion="3" unitSystem="SI">
-  <Simulation tStart="0" tStop="5" sampleStep="0.005" maxStep="0.005" method="BDF"/>
+  <Simulation tStart="0" tStop="10" sampleStep="0.01" maxStep="0.001" method="BDF"/>
   <Components>
     <Component id="pn_gas_data" type="amesim_helium_medium" modelVersion="0.1.0">
       <Parameter name="gi" value="1"/>
@@ -2075,4 +2075,4 @@
       <Endpoint component="amesim_p4node2_6" port="port_2"/>
     </Connection>
   </Connections>
-</System>
\ No newline at end of file
+</System>
diff --git a/tests/test_benchmark_regression.py b/tests/test_benchmark_regression.py
index 600e1fc..a46cf97 100644
--- a/tests/test_benchmark_regression.py
+++ b/tests/test_benchmark_regression.py
@@ -26,6 +26,13 @@ from app.simulation.benchmark_regression import (
 )
 
 
+PHYSICAL_STATE_V21_REPORT = (
+    DEFAULT_MANIFEST_PATH.parent
+    / "runs"
+    / "2026-08-18-production-physical-state-v2.1-0.2.json"
+)
+
+
 def _completed_result(request: RegressionCaseRequest, *, wall_seconds: float = 0.01):
     signal_times = (
         [0.04, 0.8]
@@ -125,16 +132,24 @@ class RegressionManifestTests(unittest.TestCase):
         self.assertTrue(manifest["source"]["xmlIsAuthoritative"])
         self.assertEqual(
             manifest["source"]["sha256"],
-            "6eb2753a15af66fd8e91c169c4587e66b0ace2164c08c2cb23a67aab5fd09164",
+            "0a2d9331df9eb5974daec25a61c1238ba32b1742d933ffc8b16ce316c5627b0b",
         )
         self.assertEqual(Path(manifest["_sourcePath"]).name, "test-mql-8.xml")
         self.assertEqual(
             manifest["source"]["companionProject"]["sha256"],
-            "8d7a263691a9f09f39c92aba19ae1350911dc66b4904e98bae5f20592c5a3fcd",
+            "b44bf540ccd1c293fe2af2b9b9052b540abf83961ad955a0f6a4ab40fbe0bb18",
         )
         self.assertFalse(
             manifest["source"]["companionProject"]["executionInput"]
         )
+        self.assertEqual(
+            manifest["source"]["referenceArchive"]["role"],
+            "authoritativePhysicalBaseline",
+        )
+        self.assertEqual(
+            Path(manifest["_referenceArchivePath"]).name,
+            "test_mql.ame",
+        )
         self.assertEqual(manifest["historicalReports"][0]["status"], "historicalOnly")
         self.assertFalse(
             manifest["historicalReports"][0]["compatibleWithCurrentSource"]
@@ -146,6 +161,86 @@ class RegressionManifestTests(unittest.TestCase):
         self.assertFalse(
             manifest["historicalReports"][2]["compatibleWithCurrentSource"]
         )
+        physical_state_golden = manifest["_physicalStateV21Goldens"]["0.2s"][
+            "production"
+        ]
+        self.assertEqual(physical_state_golden["approval"]["status"], "approved")
+        self.assertEqual(
+            physical_state_golden["_sha256"],
+            "6f0752afe8c1f7690599c2709a76d9a1342f99f726c6c8593321dc6267e175b2",
+        )
+        self.assertTrue(
+            physical_state_golden["amesimAlignmentAtGeneration"]["passed"]
+        )
+        self.assertEqual(
+            manifest["correctness"]["physicalBaselineAuthority"], "amesim"
+        )
+        self.assertTrue(manifest["correctness"]["compareAmesimOnEveryRun"])
+        self.assertEqual(
+            manifest["correctness"]["pythonGoldenRole"],
+            "determinismDiagnosticOnly",
+        )
+        self.assertEqual(
+            manifest["variants"]["0.2s"]["goldens"]["production"]["role"],
+            "pythonDeterminismRegression",
+        )
+        self.assertEqual(
+            manifest["variants"]["0.2s"]["physicalStateV21Goldens"][
+                "production"
+            ]["role"],
+            "amesimPhysicalBaseline",
+        )
+
+    def test_manifest_rejects_physical_state_v21_golden_hash_mismatch(self) -> None:
+        manifest = json.loads(DEFAULT_MANIFEST_PATH.read_text(encoding="utf-8"))
+        manifest["variants"]["0.2s"]["physicalStateV21Goldens"]["production"][
+            "sha256"
+        ] = "0" * 64
+        with tempfile.TemporaryDirectory(
+            dir=DEFAULT_MANIFEST_PATH.parents[4], prefix=".v21-manifest-test-"
+        ) as temporary_directory:
+            manifest_path = Path(temporary_directory) / "manifest.json"
+            manifest_path.write_text(json.dumps(manifest), encoding="utf-8")
+            with self.assertRaisesRegex(
+                RegressionManifestError,
+                "physical-state-v2.1 golden hash mismatch",
+            ):
+                load_regression_manifest(manifest_path)
+
+    def test_manifest_rejects_amesim_archive_hash_mismatch(self) -> None:
+        manifest = json.loads(DEFAULT_MANIFEST_PATH.read_text(encoding="utf-8"))
+        manifest["source"]["referenceArchive"]["sha256"] = "0" * 64
+        with tempfile.TemporaryDirectory(
+            dir=DEFAULT_MANIFEST_PATH.parents[4], prefix=".amesim-manifest-test-"
+        ) as temporary_directory:
+            manifest_path = Path(temporary_directory) / "manifest.json"
+            manifest_path.write_text(json.dumps(manifest), encoding="utf-8")
+            with self.assertRaisesRegex(
+                RegressionManifestError,
+                "AMESim reference archive hash mismatch",
+            ):
+                load_regression_manifest(manifest_path)
+
+    def test_manifest_rejects_amesim_golden_provenance_mismatch(self) -> None:
+        loaded = load_regression_manifest(DEFAULT_MANIFEST_PATH)
+        golden = json.loads(
+            json.dumps(loaded["_physicalStateV21Goldens"]["0.2s"]["production"])
+        )
+        golden["provenance"]["amesim"]["archiveSha256"] = "0" * 64
+        manifest = json.loads(DEFAULT_MANIFEST_PATH.read_text(encoding="utf-8"))
+        with tempfile.TemporaryDirectory(
+            dir=DEFAULT_MANIFEST_PATH.parents[4], prefix=".amesim-provenance-test-"
+        ) as temporary_directory:
+            manifest_path = Path(temporary_directory) / "manifest.json"
+            manifest_path.write_text(json.dumps(manifest), encoding="utf-8")
+            with patch(
+                "app.simulation.benchmark_regression.load_physical_state_v21_golden",
+                return_value=golden,
+            ), self.assertRaisesRegex(
+                RegressionManifestError,
+                "AMESim baseline provenance",
+            ):
+                load_regression_manifest(manifest_path)
 
     def test_in_memory_derivative_does_not_change_authoritative_xml(self) -> None:
         manifest = load_regression_manifest(DEFAULT_MANIFEST_PATH)
@@ -159,9 +254,9 @@ class RegressionManifestTests(unittest.TestCase):
             max_step=0.005,
         )
 
-        self.assertEqual(source_simulation_config(before)["tStop"], 5.0)
-        self.assertEqual(source_simulation_config(before)["sampleStep"], 0.005)
-        self.assertEqual(source_simulation_config(before)["maxStep"], 0.005)
+        self.assertEqual(source_simulation_config(before)["tStop"], 10.0)
+        self.assertEqual(source_simulation_config(before)["sampleStep"], 0.01)
+        self.assertEqual(source_simulation_config(before)["maxStep"], 0.001)
         self.assertEqual(source_simulation_config(derived)["tStop"], 1.0)
         self.assertEqual(source_simulation_config(derived)["sampleStep"], 0.02)
         self.assertEqual(source_simulation_config(derived)["maxStep"], 0.005)
@@ -399,6 +494,145 @@ class BoundedChildProcessTests(unittest.TestCase):
 
 
 class ProgressiveSuiteTests(unittest.TestCase):
+    @staticmethod
+    def _physical_state_v21_result_executor():
+        source_report = json.loads(
+            PHYSICAL_STATE_V21_REPORT.read_text(encoding="utf-8")
+        )
+        results = {case["caseId"]: case for case in source_report["cases"]}
+
+        def execute(request: RegressionCaseRequest) -> dict[str, object]:
+            return json.loads(json.dumps(results[request.case_id]))
+
+        return execute
+
+    def test_production_report_replays_through_active_v21_acceptance(self) -> None:
+        report = run_regression_suite(
+            DEFAULT_MANIFEST_PATH,
+            lane="production",
+            case_ids=["0.2s"],
+            case_executor=self._physical_state_v21_result_executor(),
+        )
+
+        case = report["cases"][1]
+        evaluation = case["acceptance"]["physicalStateV21Golden"]
+        self.assertEqual(case["outcome"], "completed")
+        self.assertTrue(case["acceptance"]["passed"])
+        self.assertTrue(evaluation["configured"])
+        self.assertTrue(evaluation["evaluated"])
+        self.assertTrue(evaluation["passed"])
+        self.assertEqual(evaluation["baselineAuthority"], "amesim")
+        self.assertEqual(evaluation["metricCount"], 33)
+        self.assertEqual(evaluation["availableBaselineValueCount"], 27)
+        self.assertEqual(evaluation["unavailableBaselineValueCount"], 6)
+        self.assertEqual(evaluation["comparedValueCount"], 25)
+        self.assertEqual(evaluation["excludedValueCount"], 2)
+        self.assertAlmostEqual(
+            evaluation["maxToleranceRatio"], 0.6967416724836332
+        )
+        self.assertAlmostEqual(
+            evaluation["worstValue"]["relativeError"],
+            0.0013934852135053246,
+        )
+        self.assertTrue(
+            all(
+                "actual" in metric and "amesimBaseline" in metric
+                for metric in evaluation["metrics"]
+            )
+        )
+        self.assertEqual(evaluation["issues"], [])
+        self.assertTrue(evaluation["amesimAlignmentAtGenerationPassed"])
+        regression = case["acceptance"]["regressionGolden"]
+        self.assertEqual(regression["role"], "determinismDiagnosticOnly")
+        self.assertFalse(regression["affectsPhysicalCorrectness"])
+
+    def test_v21_conservation_drift_fails_runner_acceptance(self) -> None:
+        execute_source = self._physical_state_v21_result_executor()
+
+        def drifted(request: RegressionCaseRequest) -> dict[str, object]:
+            result = execute_source(request)
+            if request.case_id == "0.2s":
+                result["worker"]["summary"]["physicalStateV21"]["checkpoints"][-1][
+                    "values"
+                ]["conservation.p4node2_8.massBalance"] = 2.0e-9
+            return result
+
+        report = run_regression_suite(
+            DEFAULT_MANIFEST_PATH,
+            lane="production",
+            case_ids=["0.2s"],
+            case_executor=drifted,
+        )
+
+        case = report["cases"][1]
+        evaluation = case["acceptance"]["physicalStateV21Golden"]
+        self.assertEqual(case["outcome"], "correctness_failed")
+        self.assertFalse(case["acceptance"]["passed"])
+        self.assertIn(
+            "physicalStateV21LocalInvariantMismatch",
+            case["acceptance"]["issues"],
+        )
+        self.assertFalse(evaluation["passed"])
+        self.assertEqual(
+            evaluation["localInvariants"]["worstValue"]["key"],
+            "conservation.p4node2_8.massBalance",
+        )
+
+    def test_python_state_drift_is_diagnostic_when_amesim_gate_passes(self) -> None:
+        execute_source = self._physical_state_v21_result_executor()
+
+        def drifted(request: RegressionCaseRequest) -> dict[str, object]:
+            result = execute_source(request)
+            if request.case_id == "0.2s":
+                values = result["worker"]["summary"]["physicalContract"][
+                    "checkpoints"
+                ][-1]["stateValues"]
+                first_key = next(iter(values))
+                values[first_key] += 1.0
+            return result
+
+        report = run_regression_suite(
+            DEFAULT_MANIFEST_PATH,
+            lane="production",
+            case_ids=["0.2s"],
+            case_executor=drifted,
+        )
+
+        case = report["cases"][1]
+        diagnostic = case["acceptance"]["regressionGolden"]
+        self.assertEqual(case["outcome"], "completed")
+        self.assertTrue(case["acceptance"]["passed"])
+        self.assertFalse(diagnostic["passed"])
+        self.assertIn("stateCheckpointGoldenValueMismatch", diagnostic["issues"])
+        self.assertEqual(diagnostic["acceptanceIssues"], [])
+        self.assertTrue(case["acceptance"]["physicalStateV21Golden"]["passed"])
+
+    def test_amesim_baseline_drift_is_the_physical_acceptance_gate(self) -> None:
+        execute_source = self._physical_state_v21_result_executor()
+
+        def drifted(request: RegressionCaseRequest) -> dict[str, object]:
+            result = execute_source(request)
+            if request.case_id == "0.2s":
+                result["worker"]["summary"]["physicalStateV21"]["checkpoints"][-1][
+                    "values"
+                ]["pressure.pnch012_8.absolute"] += 1.0e6
+            return result
+
+        report = run_regression_suite(
+            DEFAULT_MANIFEST_PATH,
+            lane="production",
+            case_ids=["0.2s"],
+            case_executor=drifted,
+        )
+
+        case = report["cases"][1]
+        evaluation = case["acceptance"]["physicalStateV21Golden"]
+        self.assertEqual(case["outcome"], "correctness_failed")
+        self.assertFalse(case["acceptance"]["passed"])
+        self.assertIn("amesimReferenceToleranceMismatch", case["acceptance"]["issues"])
+        self.assertFalse(evaluation["passed"])
+        self.assertEqual(evaluation["worstValue"]["amesimBaseline"], 3625053.2009413484)
+
     def test_requesting_late_case_also_runs_every_predecessor(self) -> None:
         calls: list[str] = []
 
@@ -585,7 +819,7 @@ class ProgressiveSuiteTests(unittest.TestCase):
 
         self.assertEqual(
             seen,
-            [("solver-only", 0.02, 0.05), ("production", 0.005, 0.005)],
+            [("solver-only", 0.02, 0.05), ("production", 0.01, 0.001)],
         )
 
 
diff --git a/tests/test_dependency_constraints.py b/tests/test_dependency_constraints.py
index 8844ef3..dadda67 100644
--- a/tests/test_dependency_constraints.py
+++ b/tests/test_dependency_constraints.py
@@ -2,6 +2,7 @@ from __future__ import annotations
 
 from importlib import metadata
 import os
+import platform
 from pathlib import Path
 import re
 import sys
@@ -13,6 +14,11 @@ REQUIREMENTS_PATH = REPOSITORY_ROOT / "requirements.txt"
 CONSTRAINTS_PATH = (
     REPOSITORY_ROOT / "constraints" / "python312-direct.txt"
 )
+RELEASE_LOCK_PATH = (
+    REPOSITORY_ROOT
+    / "constraints"
+    / "python312-linux-x86_64.lock"
+)
 PYTHON_VERSION_PATH = REPOSITORY_ROOT / ".python-version"
 VERIFY_ENVIRONMENT_VARIABLE = "SYSTEM_SIMULATION_VERIFY_LOCKED_ENV"
 
@@ -24,6 +30,37 @@ REFERENCE_DIRECT_VERSIONS = {
     "scipy": "1.18.0",
     "uvicorn": "0.52.3",
 }
+REFERENCE_LOCKED_VERSIONS = {
+    "annotated-doc": "0.0.5",
+    "annotated-types": "0.8.0",
+    "anyio": "4.14.2",
+    "click": "8.4.2",
+    "fastapi": "0.141.1",
+    "h11": "0.16.0",
+    "httptools": "0.8.0",
+    "idna": "3.18",
+    "lxml": "6.1.1",
+    "numpy": "2.5.2",
+    "pydantic": "2.13.4",
+    "pydantic-core": "2.46.4",
+    "python-dotenv": "1.2.3",
+    "pyyaml": "6.0.3",
+    "scipy": "1.18.0",
+    "starlette": "1.6.0",
+    "typing-extensions": "4.16.0",
+    "typing-inspection": "0.4.4",
+    "uvicorn": "0.52.3",
+    "uvloop": "0.22.1",
+    "watchfiles": "1.2.0",
+    "websockets": "17.0.1",
+}
+
+LOCK_REQUIREMENT_PATTERN = re.compile(
+    r"(?P<name>[A-Za-z0-9_.-]+)"
+    r"(?:\[(?P<extras>[A-Za-z0-9_,.-]+)\])?"
+    r"==(?P<version>[^\s;]+)\s+"
+    r"--hash=sha256:(?P<digest>[0-9a-f]{64})\Z"
+)
 
 
 def _active_lines(path: Path) -> tuple[str, ...]:
@@ -57,6 +94,33 @@ def _constraint_versions() -> dict[str, str]:
     return result
 
 
+def _release_lock_options() -> tuple[str, ...]:
+    return tuple(
+        line
+        for line in _active_lines(RELEASE_LOCK_PATH)
+        if line.startswith("--")
+    )
+
+
+def _release_lock_entries() -> dict[str, tuple[str, str, str | None]]:
+    result: dict[str, tuple[str, str, str | None]] = {}
+    for line in _active_lines(RELEASE_LOCK_PATH):
+        if line.startswith("--"):
+            continue
+        match = LOCK_REQUIREMENT_PATTERN.fullmatch(line)
+        if match is None:
+            raise AssertionError(f"Invalid release-lock entry: {line!r}")
+        normalized = _normalized_name(match.group("name"))
+        if normalized in result:
+            raise AssertionError(f"Duplicate release-lock entry: {normalized}")
+        result[normalized] = (
+            match.group("version"),
+            match.group("digest"),
+            match.group("extras"),
+        )
+    return result
+
+
 class DependencyConstraintContractTests(unittest.TestCase):
     def test_python_reference_version_is_explicit(self) -> None:
         self.assertEqual(
@@ -87,18 +151,49 @@ class DependencyConstraintContractTests(unittest.TestCase):
             }.isdisjoint(_constraint_versions())
         )
 
+    def test_linux_release_lock_pins_and_hashes_complete_environment(
+        self,
+    ) -> None:
+        self.assertEqual(
+            _release_lock_options(),
+            ("--only-binary=:all:", "--require-hashes"),
+        )
+        entries = _release_lock_entries()
+        self.assertEqual(
+            {name: entry[0] for name, entry in entries.items()},
+            REFERENCE_LOCKED_VERSIONS,
+        )
+        self.assertTrue(all(len(entry[1]) == 64 for entry in entries.values()))
+        self.assertEqual(entries["uvicorn"][2], "standard")
+        self.assertTrue(
+            all(
+                entry[2] is None
+                for name, entry in entries.items()
+                if name != "uvicorn"
+            )
+        )
+        self.assertEqual(
+            {
+                name: REFERENCE_LOCKED_VERSIONS[name]
+                for name in REFERENCE_DIRECT_VERSIONS
+            },
+            REFERENCE_DIRECT_VERSIONS,
+        )
+
     @unittest.skipUnless(
         os.getenv(VERIFY_ENVIRONMENT_VARIABLE, "").strip().lower()
         in {"1", "true", "yes", "on"},
         f"Set {VERIFY_ENVIRONMENT_VARIABLE}=1 to verify installed versions.",
     )
-    def test_installed_environment_matches_reference_constraints(self) -> None:
+    def test_installed_environment_matches_linux_release_lock(self) -> None:
         self.assertEqual(sys.version_info[:3], (3, 12, 3))
+        self.assertEqual(sys.platform, "linux")
+        self.assertEqual(platform.machine().lower(), "x86_64")
         installed = {
             name: metadata.version(name)
-            for name in REFERENCE_DIRECT_VERSIONS
+            for name in REFERENCE_LOCKED_VERSIONS
         }
-        self.assertEqual(installed, REFERENCE_DIRECT_VERSIONS)
+        self.assertEqual(installed, REFERENCE_LOCKED_VERSIONS)
 
 
 if __name__ == "__main__":
diff --git a/tests/test_mql_full_branches_regression.py b/tests/test_mql_full_branches_regression.py
index 4ad8abf..c647b69 100644
--- a/tests/test_mql_full_branches_regression.py
+++ b/tests/test_mql_full_branches_regression.py
@@ -1,12 +1,14 @@
 from __future__ import annotations
 
 import hashlib
+import json
 import os
 from pathlib import Path
 import unittest
 
 from app.main import compile_system_xml_network
 from app.simulation.benchmark_regression import (
+    evaluate_regression_golden,
     load_regression_manifest,
     run_regression_suite,
     source_simulation_config,
@@ -85,6 +87,60 @@ class MqlFullBranchesStaticRegressionTests(unittest.TestCase):
             expected["hasMechanicalStateEvents"],
         )
 
+    def test_three_production_repeats_replay_approved_goldens_exactly(self) -> None:
+        repository_root = Path(self.manifest["_repositoryRoot"])
+        evidence = self.manifest["acceptanceEvidence"]
+        self.assertEqual(evidence["status"], "approved")
+        self.assertEqual(evidence["lane"], "production")
+        self.assertEqual(evidence["repeatCount"], 3)
+        self.assertTrue(evidence["physicalValuesIdenticalAcrossRepeats"])
+
+        expected_counts = {"0.81s": 480, "2.10s": 720}
+        stable_signatures: dict[str, object] = {}
+        for report_reference in evidence["reports"]:
+            report_path = repository_root / report_reference["path"]
+            payload = report_path.read_bytes()
+            self.assertEqual(len(payload), report_reference["bytes"])
+            self.assertEqual(
+                hashlib.sha256(payload).hexdigest(),
+                report_reference["sha256"],
+            )
+            report = json.loads(payload)
+            self.assertEqual(report["lane"], "production")
+            self.assertEqual(
+                report["source"]["sha256"], self.manifest["source"]["sha256"]
+            )
+
+            for case_id in self.manifest["sequence"]:
+                case = next(
+                    item for item in report["cases"] if item["caseId"] == case_id
+                )
+                self.assertEqual(case["outcome"], "completed")
+                self.assertTrue(case["acceptance"]["passed"])
+                summary = case["worker"]["summary"]
+                golden = self.manifest["_goldens"][case_id]["production"]
+                audit = evaluate_regression_golden(summary, golden)
+                self.assertTrue(audit["passed"], audit)
+                self.assertEqual(
+                    audit["comparedValueCount"], expected_counts[case_id]
+                )
+                self.assertEqual(audit["maxAbsoluteError"], 0.0)
+                self.assertEqual(audit["maxToleranceRatio"], 0.0)
+                self.assertEqual(audit["issues"], [])
+
+                diagnostics = dict(summary["diagnostics"])
+                diagnostics.pop("performance", None)
+                signature = {
+                    "physicalContract": summary["physicalContract"],
+                    "eventTrace": summary["eventTrace"],
+                    "outputContract": summary["outputContract"],
+                    "diagnosticsWithoutPerformance": diagnostics,
+                }
+                if case_id not in stable_signatures:
+                    stable_signatures[case_id] = signature
+                else:
+                    self.assertEqual(stable_signatures[case_id], signature)
+
     def test_both_horizons_have_the_expected_signal_schedule(self) -> None:
         assert self.validation.document is not None
         system = GenericFluidSystem(
@@ -105,9 +161,16 @@ class MqlFullBranchesStaticRegressionTests(unittest.TestCase):
 )
 class MqlFullBranchesLongRegressionTests(unittest.TestCase):
     def test_both_horizons_complete_within_their_safety_budgets(self) -> None:
-        report = run_regression_suite(MANIFEST_PATH, lane="solver-only")
+        report = run_regression_suite(MANIFEST_PATH, lane="production")
         outcomes = [case["outcome"] for case in report["cases"]]
         self.assertEqual(outcomes, ["completed", "completed"], report["cases"])
+        self.assertTrue(
+            all(
+                case["acceptance"]["regressionGolden"]["passed"]
+                for case in report["cases"]
+            ),
+            report["cases"],
+        )
 
 
 if __name__ == "__main__":
diff --git a/tests/test_physical_state_v21.py b/tests/test_physical_state_v21.py
new file mode 100644
index 0000000..e844083
--- /dev/null
+++ b/tests/test_physical_state_v21.py
@@ -0,0 +1,487 @@
+from __future__ import annotations
+
+import copy
+import hashlib
+import json
+from pathlib import Path
+import tempfile
+import unittest
+from unittest.mock import patch
+
+from app.simulation.benchmark_regression import summarize_simulation_result
+from app.simulation.physical_state_v21 import (
+    PHYSICAL_STATE_V21_ID,
+    PhysicalStateV21Error,
+    approve_candidate_golden,
+    assess_report_against_amesim,
+    build_amesim_reference,
+    build_candidate_golden,
+    compare_contract_to_amesim,
+    evaluate_physical_state_v21,
+    load_approved_golden,
+    project_physical_state_v21,
+    write_candidate_golden,
+)
+
+
+REPO_ROOT = Path(__file__).resolve().parents[1]
+AMESIM_ARCHIVE = REPO_ROOT / "AmesimModels" / "test_mql.ame"
+CANDIDATE_REPORT = (
+    REPO_ROOT
+    / "tests/baselines/simulation/test_mql_8/runs"
+    / "2026-08-18-production-amesim-aligned-v1-candidate-0.2.json"
+)
+
+
+def _variable(key: str, quantity: str, unit: str, category: str) -> dict[str, str]:
+    return {"key": key, "quantity": quantity, "unit": unit, "category": category}
+
+
+def _synthetic_result() -> dict[str, object]:
+    times = [0.0, 0.04, 0.2]
+    variables: list[dict[str, str]] = []
+    series: dict[str, list[float]] = {"time": times}
+
+    def add(
+        key: str,
+        values: list[float],
+        quantity: str,
+        unit: str,
+        category: str,
+    ) -> None:
+        variables.append(_variable(key, quantity, unit, category))
+        series[key] = values
+
+    add("amesim_pnch012_8.p", [100_000.0, 200_000.0, 300_000.0], "pressure", "Pa", "thermodynamic")
+    add("amesim_pnl0001_20.p", [100_000.0, 210_000.0, 310_000.0], "pressure", "Pa", "thermodynamic")
+    add("amesim_pnl0001_20.port_1.m_flow", [-0.1, -0.2, -0.3], "mass_flow", "kg/s", "port")
+    add("amesim_pnch012_8.port_1.m_flow", [0.1, 0.2, 0.3], "mass_flow", "kg/s", "port")
+    add("amesim_pnvo001_5.port_2.m_flow", [-0.2, -0.3, -0.4], "mass_flow", "kg/s", "port")
+    add("amesim_pnvo001_5.port_3.m_flow", [0.2, 0.3, 0.4], "mass_flow", "kg/s", "port")
+    for port, values in enumerate(
+        ([0.4, 0.5, 0.6], [-0.1, -0.2, -0.3], [-0.2, -0.2, -0.2], [-0.1, -0.1, -0.1]),
+        start=1,
+    ):
+        add(f"amesim_p4node2_8.port_{port}.m_flow", list(values), "mass_flow", "kg/s", "port")
+    add("amesim_pnvo001_5.xv", [0.0, 1.0, 1.0], "dimensionless", "", "derived")
+    add("amesim_mecmas21_9.x", [0.0, 0.0, 0.0], "length", "m", "state")
+    add("amesim_mecmas21_9.v", [0.0, 0.0, 0.0], "velocity", "m/s", "state")
+    add("amesim_mecmas21_9.port_1.f", [1.0, 1.0, 1.0], "force", "N", "port")
+    add("amesim_mecmas21_9.port_2.f", [2.0, 2.0, 2.0], "force", "N", "port")
+    add("amesim_mecmas21_10.x", [0.0, 0.0, 0.0], "length", "m", "state")
+    add("amesim_mecmas21_10.v", [0.0, 0.0, 0.0], "velocity", "m/s", "state")
+    add("amesim_mecmas21_10.port_1.f", [-2.0, -2.0, -2.0], "force", "N", "port")
+    add("amesim_mecmas21_10.port_2.f", [-1.0, -1.0, -1.0], "force", "N", "port")
+    add("storage_a.m", [1.0, 2.0, 3.0], "mass", "kg", "state")
+    add("storage_b.m", [4.0, 3.0, 2.0], "mass", "kg", "state")
+    return {
+        "success": True,
+        "status": "completed",
+        "partial": False,
+        "simulatedUntil": 0.2,
+        "requestedStopTime": 0.2,
+        "variables": variables,
+        "series": series,
+        "final": {key: values[-1] for key, values in series.items() if key != "time"},
+        "diagnostics": {},
+    }
+
+
+class PhysicalStateProjectionTests(unittest.TestCase):
+    def test_projects_all_categories_with_units_and_strict_balances(self) -> None:
+        contract = project_physical_state_v21(
+            _synthetic_result(), checkpoint_times=(0.0, 0.04, 0.2), sample_step=0.04
+        )
+
+        self.assertEqual(contract["id"], PHYSICAL_STATE_V21_ID)
+        self.assertEqual(
+            contract["projectionCategories"],
+            ["pressure", "massFlow", "conservation", "discreteMode"],
+        )
+        self.assertEqual(len(contract["layout"]["projectionKeys"]), 11)
+        endpoint = contract["checkpoints"][-1]["values"]
+        self.assertEqual(endpoint["conservation.totalStoredGasMass"], 5.0)
+        self.assertAlmostEqual(endpoint["conservation.p4node2_8.massBalance"], 0.0)
+        self.assertAlmostEqual(endpoint["conservation.pnvo001_5.massBalance"], 0.0)
+        self.assertAlmostEqual(
+            endpoint["conservation.pnl0001_20_pnch012_8.connectionMassBalance"], 0.0
+        )
+        self.assertEqual(endpoint["discrete.pnvo001_5.openMode"], 1.0)
+        self.assertEqual(endpoint["discrete.mecmas21_9.endstopMode"], 1.0)
+        self.assertEqual(endpoint["discrete.mecmas21_10.endstopMode"], -1.0)
+        pressure = contract["layout"]["projections"][0]["amesim"]
+        self.assertEqual(pressure["offset"], 101_300.0)
+        flow = contract["layout"]["projections"][2]["amesim"]
+        self.assertEqual(flow["scale"], -1.0e-3)
+
+    def test_fails_closed_on_wrong_source_unit(self) -> None:
+        result = _synthetic_result()
+        next(
+            variable
+            for variable in result["variables"]
+            if variable["key"] == "amesim_pnch012_8.p"
+        )["unit"] = "bar"
+
+        with self.assertRaisesRegex(PhysicalStateV21Error, "Unexpected metadata"):
+            project_physical_state_v21(result, checkpoint_times=(0.2,), sample_step=0.2)
+
+    def test_benchmark_summary_attaches_v21_only_to_matching_result(self) -> None:
+        summary = summarize_simulation_result(
+            _synthetic_result(), checkpoint_times=(0.0, 0.2), sample_step=0.2
+        )
+        self.assertEqual(summary["physicalStateV21"]["id"], PHYSICAL_STATE_V21_ID)
+
+
+class AmesimReferenceTests(unittest.TestCase):
+    def test_reference_records_archive_hash_units_signs_and_known_endpoint(self) -> None:
+        reference = build_amesim_reference(AMESIM_ARCHIVE, checkpoint_times=(0.2,))
+        values = reference["checkpoints"][0]["values"]
+
+        self.assertAlmostEqual(values["pressure.pnch012_8.absolute"], 3_625_053.2009413484)
+        self.assertAlmostEqual(
+            values["massFlow.pnl0001_20.port_1.intoComponent"],
+            -0.3728806429214546,
+        )
+        self.assertEqual(values["discrete.mecmas21_9.endstopMode"], 1.0)
+        self.assertEqual(values["discrete.mecmas21_10.endstopMode"], -1.0)
+        provenance = reference["provenance"]
+        self.assertEqual(provenance["archivePath"], "AmesimModels/test_mql.ame")
+        self.assertEqual(len(provenance["archiveSha256"]), 64)
+        self.assertEqual(
+            [member["name"] for member in provenance["members"]],
+            ["test_mql_.var", "test_mql_.results"],
+        )
+
+    def test_current_candidate_endpoint_passes_explicit_amesim_alignment_profile(self) -> None:
+        assessment = assess_report_against_amesim(
+            CANDIDATE_REPORT, archive_path=AMESIM_ARCHIVE
+        )
+
+        comparison = assessment["comparison"]
+        self.assertEqual(assessment["coverage"], "legacyEndpointOnly")
+        self.assertTrue(comparison["passed"])
+        self.assertEqual(comparison["comparedValueCount"], 9)
+        self.assertEqual(comparison["metricCount"], 11)
+        self.assertEqual(comparison["availableBaselineValueCount"], 9)
+        self.assertEqual(comparison["unavailableBaselineValueCount"], 2)
+        self.assertEqual(len(comparison["metrics"]), 11)
+        self.assertTrue(
+            all(
+                {
+                    "requestedTime",
+                    "key",
+                    "category",
+                    "actual",
+                    "amesimBaseline",
+                    "absoluteError",
+                    "relativeError",
+                    "evaluated",
+                    "passed",
+                }
+                <= set(metric)
+                for metric in comparison["metrics"]
+            )
+        )
+        self.assertEqual(
+            comparison["worstValue"]["key"],
+            "massFlow.pnl0001_20.port_1.intoComponent",
+        )
+        self.assertAlmostEqual(
+            comparison["worstValue"]["relativeError"],
+            0.0013934852135053246,
+        )
+        self.assertEqual(
+            comparison["toleranceProfile"]["byCategory"]["discreteMode"]["relative"],
+            0.0,
+        )
+
+    def test_signal_jump_mass_flows_record_errors_but_are_not_evaluated(self) -> None:
+        contract = project_physical_state_v21(
+            _synthetic_result(), checkpoint_times=(0.0, 0.04, 0.2), sample_step=0.04
+        )
+        reference_checkpoints = []
+        for checkpoint in contract["checkpoints"]:
+            values = dict(checkpoint["values"])
+            values["conservation.p4node2_8.massBalance"] = None
+            values[
+                "conservation.pnl0001_20_pnch012_8.connectionMassBalance"
+            ] = None
+            if checkpoint["requestedTime"] == 0.04:
+                values["massFlow.pnl0001_20.port_1.intoComponent"] += 100.0
+                values["massFlow.pnvo001_5.port_2.intoComponent"] -= 100.0
+            reference_checkpoints.append(
+                {"requestedTime": checkpoint["requestedTime"], "values": values}
+            )
+
+        comparison = compare_contract_to_amesim(
+            contract, {"checkpoints": reference_checkpoints}
+        )
+
+        excluded = [
+            metric
+            for metric in comparison["metrics"]
+            if metric["requestedTime"] == 0.04 and metric["category"] == "massFlow"
+        ]
+        self.assertTrue(comparison["passed"])
+        self.assertEqual(comparison["metricCount"], 33)
+        self.assertEqual(comparison["availableBaselineValueCount"], 27)
+        self.assertEqual(comparison["unavailableBaselineValueCount"], 6)
+        self.assertEqual(comparison["comparedValueCount"], 25)
+        self.assertEqual(comparison["excludedValueCount"], 2)
+        self.assertEqual(len(comparison["metrics"]), 33)
+        self.assertEqual(len(excluded), 2)
+        self.assertTrue(all(metric["evaluated"] is False for metric in excluded))
+        self.assertTrue(all(metric["passed"] is None for metric in excluded))
+        self.assertTrue(all(metric["absoluteError"] > 99.0 for metric in excluded))
+        self.assertTrue(
+            all("LeftRightLimit" in metric["exclusionReason"] for metric in excluded)
+        )
+        self.assertNotIn(comparison["worstValue"], excluded)
+
+        unavailable = [
+            metric
+            for metric in comparison["metrics"]
+            if metric["amesimBaseline"] is None
+        ]
+        self.assertEqual(len(unavailable), 6)
+        self.assertTrue(all(metric["evaluated"] is False for metric in unavailable))
+        self.assertTrue(all(metric["absoluteError"] is None for metric in unavailable))
+        self.assertTrue(all(metric["relativeError"] is None for metric in unavailable))
+
+    def test_relative_error_uses_the_amesim_baseline_denominator(self) -> None:
+        contract = project_physical_state_v21(
+            _synthetic_result(), checkpoint_times=(0.2,), sample_step=0.2
+        )
+        values = dict(contract["checkpoints"][0]["values"])
+        key = "pressure.pnch012_8.absolute"
+        values[key] = 0.5 * values[key]
+
+        comparison = compare_contract_to_amesim(
+            contract,
+            {"checkpoints": [{"requestedTime": 0.2, "values": values}]},
+        )
+        metric = next(item for item in comparison["metrics"] if item["key"] == key)
+        expected = abs(metric["actual"] - metric["amesimBaseline"]) / abs(
+            metric["amesimBaseline"]
+        )
+
+        self.assertAlmostEqual(metric["relativeError"], expected)
+        self.assertAlmostEqual(metric["relativeErrorPercent"], 100.0 * expected)
+        self.assertTrue(metric["relativeErrorDefined"])
+
+    def test_zero_amesim_baseline_has_undefined_relative_error(self) -> None:
+        contract = project_physical_state_v21(
+            _synthetic_result(), checkpoint_times=(0.2,), sample_step=0.2
+        )
+        values = dict(contract["checkpoints"][0]["values"])
+        key = "massFlow.pnl0001_20.port_1.intoComponent"
+        values[key] = -0.0
+
+        comparison = compare_contract_to_amesim(
+            contract,
+            {"checkpoints": [{"requestedTime": 0.2, "values": values}]},
+        )
+        metric = next(item for item in comparison["metrics"] if item["key"] == key)
+
+        self.assertIsNone(metric["relativeError"])
+        self.assertIsNone(metric["relativeErrorPercent"])
+        self.assertFalse(metric["relativeErrorDefined"])
+        self.assertEqual(metric["relativeErrorReason"], "zeroAmesimBaseline")
+        self.assertEqual(metric["comparisonBasis"], "absoluteNearZero")
+        self.assertEqual(
+            json.loads(json.dumps(comparison, allow_nan=False))["baselineAuthority"],
+            "amesim",
+        )
+
+
+class ReviewedGoldenProtocolTests(unittest.TestCase):
+    def _report_and_reference(self):
+        contract = project_physical_state_v21(
+            _synthetic_result(), checkpoint_times=(0.0, 0.04, 0.2), sample_step=0.04
+        )
+        report = {
+            "generatedAt": "2026-08-18T00:00:00+00:00",
+            "source": {"sha256": "a" * 64},
+            "cases": [{
+                "caseId": "0.2s",
+                "lane": "production",
+                "worker": {"summary": {"physicalStateV21": contract}},
+            }],
+        }
+        keys = contract["layout"]["projectionKeys"]
+        reference_checkpoints = []
+        for checkpoint in contract["checkpoints"]:
+            reference_checkpoints.append({
+                "requestedTime": checkpoint["requestedTime"],
+                "values": {key: checkpoint["values"][key] for key in keys},
+            })
+        reference = {
+            "schemaVersion": 1,
+            "provenance": {
+                "archivePath": "AmesimModels/synthetic.ame",
+                "archiveBytes": 2,
+                "archiveSha256": "b" * 64,
+                "members": [
+                    {"name": "synthetic.var", "bytes": 1, "sha256": "c" * 64},
+                    {
+                        "name": "synthetic.results",
+                        "bytes": 1,
+                        "sha256": "d" * 64,
+                    },
+                ],
+            },
+            "storedMassDataPaths": ["mgas@synthetic"],
+            "checkpoints": reference_checkpoints,
+        }
+        return contract, report, reference
+
+    def test_candidate_requires_exact_hash_and_is_approved_to_a_new_file(self) -> None:
+        contract, report, reference = self._report_and_reference()
+        with tempfile.TemporaryDirectory(
+            dir=REPO_ROOT, prefix=".physical-state-v21-test-"
+        ) as temporary_directory:
+            root = Path(temporary_directory)
+            report_path = root / "report.json"
+            report_path.write_text(json.dumps(report), encoding="utf-8")
+            candidate_path = root / "candidate.json"
+            approved_path = root / "approved.json"
+            with patch(
+                "app.simulation.physical_state_v21.build_amesim_reference",
+                return_value=reference,
+            ):
+                write_candidate_golden(report_path, candidate_path)
+            candidate = json.loads(candidate_path.read_text(encoding="utf-8"))
+            local_report = candidate["provenance"]["localSourceReport"]
+            self.assertFalse(Path(local_report["path"]).is_absolute())
+            self.assertEqual(local_report["bytes"], report_path.stat().st_size)
+            candidate_sha = hashlib.sha256(candidate_path.read_bytes()).hexdigest()
+
+            with self.assertRaisesRegex(PhysicalStateV21Error, "SHA mismatch"):
+                approve_candidate_golden(
+                    candidate_path,
+                    approved_path,
+                    expected_candidate_sha256="0" * 64,
+                    reviewed_by="reviewer",
+                    note="reviewed",
+                )
+            approve_candidate_golden(
+                candidate_path,
+                approved_path,
+                expected_candidate_sha256=candidate_sha,
+                reviewed_by="reviewer",
+                note="units, signs, and errors reviewed",
+            )
+            golden = load_approved_golden(approved_path)
+            self.assertFalse(Path(golden["approval"]["candidatePath"]).is_absolute())
+            golden["checkpoints"][-1]["values"][0] += 1.0e9
+            self.assertTrue(evaluate_physical_state_v21(contract, golden)["passed"])
+
+            changed = copy.deepcopy(contract)
+            changed["checkpoints"][-1]["values"]["pressure.pnch012_8.absolute"] += 1000.0
+            failure = evaluate_physical_state_v21(changed, golden)
+            self.assertFalse(failure["passed"])
+            self.assertIn("amesimReferenceToleranceMismatch", failure["issues"])
+
+    def test_approval_rejects_failed_or_tampered_alignment(self) -> None:
+        _contract, report, reference = self._report_and_reference()
+        with tempfile.TemporaryDirectory() as temporary_directory:
+            root = Path(temporary_directory)
+            report_path = root / "report.json"
+            report_path.write_text(json.dumps(report), encoding="utf-8")
+            original_path = root / "candidate.json"
+            with patch(
+                "app.simulation.physical_state_v21.build_amesim_reference",
+                return_value=reference,
+            ):
+                write_candidate_golden(report_path, original_path)
+            original = json.loads(original_path.read_text(encoding="utf-8"))
+
+            failed_alignment = copy.deepcopy(original)
+            failed_alignment["amesimAlignmentAtGeneration"]["passed"] = False
+            failed_path = root / "failed-alignment.json"
+            failed_path.write_text(json.dumps(failed_alignment), encoding="utf-8")
+            with self.assertRaisesRegex(
+                PhysicalStateV21Error, "AMESim alignment at generation"
+            ):
+                approve_candidate_golden(
+                    failed_path,
+                    root / "failed-approved.json",
+                    expected_candidate_sha256=hashlib.sha256(
+                        failed_path.read_bytes()
+                    ).hexdigest(),
+                    reviewed_by="reviewer",
+                    note="must not override a failed alignment",
+                )
+
+            failed_metric = copy.deepcopy(original)
+            evaluated_metric = next(
+                metric
+                for metric in failed_metric["amesimAlignmentAtGeneration"]["metrics"]
+                if metric["evaluated"]
+            )
+            evaluated_metric["passed"] = False
+            failed_metric_path = root / "failed-metric.json"
+            failed_metric_path.write_text(json.dumps(failed_metric), encoding="utf-8")
+            with self.assertRaisesRegex(PhysicalStateV21Error, "evaluated metric"):
+                approve_candidate_golden(
+                    failed_metric_path,
+                    root / "failed-metric-approved.json",
+                    expected_candidate_sha256=hashlib.sha256(
+                        failed_metric_path.read_bytes()
+                    ).hexdigest(),
+                    reviewed_by="reviewer",
+                    note="must not override a failed metric",
+                )
+
+    def test_approval_rejects_local_conservation_residual(self) -> None:
+        _contract, report, reference = self._report_and_reference()
+        with tempfile.TemporaryDirectory() as temporary_directory:
+            root = Path(temporary_directory)
+            report_path = root / "report.json"
+            report_path.write_text(json.dumps(report), encoding="utf-8")
+            original_path = root / "candidate.json"
+            with patch(
+                "app.simulation.physical_state_v21.build_amesim_reference",
+                return_value=reference,
+            ):
+                write_candidate_golden(report_path, original_path)
+            candidate = json.loads(original_path.read_text(encoding="utf-8"))
+            key = "conservation.p4node2_8.massBalance"
+            value_index = candidate["layout"]["projectionKeys"].index(key)
+            candidate["checkpoints"][1]["values"][value_index] = 2.0e-9
+            tampered_path = root / "conservation-residual.json"
+            tampered_path.write_text(json.dumps(candidate), encoding="utf-8")
+
+            with self.assertRaisesRegex(
+                PhysicalStateV21Error, "local conservation residual"
+            ):
+                approve_candidate_golden(
+                    tampered_path,
+                    root / "residual-approved.json",
+                    expected_candidate_sha256=hashlib.sha256(
+                        tampered_path.read_bytes()
+                    ).hexdigest(),
+                    reviewed_by="reviewer",
+                    note="must not override a local conservation failure",
+                )
+
+    def test_candidate_writer_refuses_overwrite_and_unapproved_file_is_rejected(self) -> None:
+        _contract, report, reference = self._report_and_reference()
+        with tempfile.TemporaryDirectory() as temporary_directory:
+            root = Path(temporary_directory)
+            report_path = root / "report.json"
+            report_path.write_text(json.dumps(report), encoding="utf-8")
+            output = root / "candidate.json"
+            with patch(
+                "app.simulation.physical_state_v21.build_amesim_reference",
+                return_value=reference,
+            ):
+                write_candidate_golden(report_path, output)
+                with self.assertRaisesRegex(PhysicalStateV21Error, "overwrite"):
+                    write_candidate_golden(report_path, output)
+            with self.assertRaisesRegex(PhysicalStateV21Error, "approval.status"):
+                load_approved_golden(output)
+
+
+if __name__ == "__main__":
+    unittest.main()
diff --git a/tests/test_test_mql_8_regression.py b/tests/test_test_mql_8_regression.py
index 4b8c5ad..d9eb473 100644
--- a/tests/test_test_mql_8_regression.py
+++ b/tests/test_test_mql_8_regression.py
@@ -154,6 +154,26 @@ class TestMql8StaticRegressionTests(unittest.TestCase):
         self.assertEqual(audit["maxAbsoluteError"], 0.0)
         self.assertEqual(audit["maxToleranceRatio"], 0.0)
 
+    def test_approved_production_golden_replays_its_source_report(self) -> None:
+        repository_root = Path(self.manifest["_repositoryRoot"])
+        reference = self.manifest["variants"]["0.2s"]["goldens"]["production"]
+        golden = load_regression_golden(
+            repository_root / reference["path"],
+            expected_sha256=reference["sha256"],
+            repository_root=repository_root,
+        )
+        source_report = golden["provenance"]["sourceReport"]
+        report = json.loads(
+            (repository_root / source_report["path"]).read_text(encoding="utf-8")
+        )
+        case = next(item for item in report["cases"] if item["caseId"] == "0.2s")
+        audit = evaluate_regression_golden(case["worker"]["summary"], golden)
+
+        self.assertTrue(audit["passed"], audit)
+        self.assertEqual(audit["comparedValueCount"], 426)
+        self.assertEqual(audit["maxAbsoluteError"], 0.0)
+        self.assertEqual(audit["maxToleranceRatio"], 0.0)
+
     def test_historical_v2_extension_decision_remains_auditable(self) -> None:
         repository_root = Path(self.manifest["_repositoryRoot"])
         runs = repository_root / "tests/baselines/simulation/test_mql_8/runs"
@@ -202,7 +222,70 @@ class TestMql8StaticRegressionTests(unittest.TestCase):
         self.assertEqual(first_decision["outcome"], "deferred")
         self.assertTrue(decision["simulationWasNotStartedForDeferredCases"])
 
-    def test_periodic_main_lane_uses_the_current_production_source(self) -> None:
+    def test_extension_decision_is_bound_to_the_current_report_and_budget(self) -> None:
+        repository_root = Path(self.manifest["_repositoryRoot"])
+        evidence = self.manifest["acceptanceEvidence"]
+        decision_reference = evidence["extensionDecision"]
+        decision_path = repository_root / decision_reference["path"]
+        decision_payload = decision_path.read_bytes()
+        decision = json.loads(decision_payload)
+        report_reference = evidence["production0.2ApprovedReplay"]
+        report_path = repository_root / report_reference["path"]
+        report_payload = report_path.read_bytes()
+        report = json.loads(report_payload)
+        source_case = next(
+            item for item in report["cases"] if item["caseId"] == "0.2s"
+        )
+        first_decision = decision["decisions"][0]
+
+        self.assertEqual(
+            decision["sourceXmlSha256"], self.manifest["source"]["sha256"]
+        )
+        self.assertEqual(decision["sourceReport"], report_path.name)
+        self.assertEqual(len(report_payload), report_reference["bytes"])
+        self.assertEqual(
+            hashlib.sha256(report_payload).hexdigest(), report_reference["sha256"]
+        )
+        self.assertEqual(len(decision_payload), decision_reference["bytes"])
+        self.assertEqual(
+            hashlib.sha256(decision_payload).hexdigest(),
+            decision_reference["sha256"],
+        )
+        self.assertEqual(
+            hashlib.sha256(report_payload).hexdigest(),
+            decision["sourceReportSha256"],
+        )
+        self.assertTrue(source_case["acceptance"]["passed"])
+        self.assertEqual(
+            decision["observedCase"]["workerWallSeconds"],
+            source_case["worker"]["wallSeconds"],
+        )
+        expected_prediction = (
+            source_case["worker"]["wallSeconds"]
+            * self.manifest["variants"]["1s"]["stopTime"]
+            / source_case["stopTime"]
+            * self.manifest["execution"]["predictionSafetyFactor"]
+        )
+        self.assertAlmostEqual(
+            first_decision["predictedWallSeconds"], expected_prediction
+        )
+        self.assertLessEqual(
+            first_decision["predictedWallSeconds"],
+            first_decision["softTimeoutSeconds"],
+        )
+        self.assertEqual(first_decision["outcome"], "eligible")
+        self.assertEqual(first_decision["reason"], "predictedWallWithinSoftBudget")
+        self.assertEqual(
+            [item["outcome"] for item in decision["decisions"]],
+            ["eligible", "notEvaluated", "notEvaluated"],
+        )
+        self.assertTrue(decision["extensionWasNotStarted"])
+        self.assertEqual(
+            decision["scopeReason"],
+            "OPT-00 closes at the approved production 0.2 s gate; longer progressive horizons remain separately staged work.",
+        )
+
+    def test_periodic_main_lane_exercises_the_approved_production_golden(self) -> None:
         workflow = (
             Path(self.manifest["_repositoryRoot"])
             / ".github/workflows/solver-regression.yml"
@@ -210,12 +293,11 @@ class TestMql8StaticRegressionTests(unittest.TestCase):
 
         self.assertIn("default: production", workflow)
         self.assertIn("inputs.lane || 'production'", workflow)
-        self.assertNotIn("goldens", self.manifest["variants"]["0.2s"])
 
 
 @unittest.skipUnless(
     os.getenv(LONG_RUN_ENVIRONMENT, "").strip().lower() in {"1", "true", "yes"},
-    f"Set {LONG_RUN_ENVIRONMENT}=1 to run bounded 0.005/0.2/1/5/10 s integration.",
+    f"Set {LONG_RUN_ENVIRONMENT}=1 to run bounded 0.01/0.2/1/5/10 s integration.",
 )
 class TestMql8ProgressiveLongRegressionTests(unittest.TestCase):
     @classmethod
diff --git a/tests/test_test_mql_ame_contract.py b/tests/test_test_mql_ame_contract.py
new file mode 100644
index 0000000..a51ec19
--- /dev/null
+++ b/tests/test_test_mql_ame_contract.py
@@ -0,0 +1,857 @@
+from __future__ import annotations
+
+import ast
+from collections import Counter
+from collections.abc import Mapping
+from dataclasses import dataclass
+import hashlib
+import json
+import math
+import operator
+from pathlib import Path
+import re
+import tarfile
+import unittest
+import xml.etree.ElementTree as ET
+
+from app.simulation.registry import get_component_model_spec
+from app.simulation.reporting.amesim_results import load_test_mql_amesim_results
+
+
+REPOSITORY_ROOT = Path(__file__).resolve().parents[1]
+AME_PATH = REPOSITORY_ROOT / "AmesimModels" / "test_mql.ame"
+JSON_PATH = REPOSITORY_ROOT / "tests/data/test-mql-8.json"
+XML_PATH = REPOSITORY_ROOT / "tests/data/test-mql-8.xml"
+MANIFEST_PATH = (
+    REPOSITORY_ROOT
+    / "tests/baselines/simulation/test_mql_8/manifest.json"
+)
+
+EXPECTED_AME_SHA256 = (
+    "cbc3aadd4569a49b3a63e5d66d4143ec16126c0f950df73fb637e07673c20fbb"
+)
+EXPECTED_AME_BYTES = 21_708_800
+EXPECTED_MODEL_TYPE_COUNT = 20
+EXPECTED_NODE_COUNT = 157
+EXPECTED_PARAMETER_COUNT = 1_092
+EXPECTED_CONNECTION_COUNT = 178
+EXPECTED_RESULT_POINT_COUNT = 1_002
+AMESIM_REFERENCE_PRESSURE_PA = 101_300.0
+
+_BINARY_OPERATORS = {
+    ast.Add: operator.add,
+    ast.Sub: operator.sub,
+    ast.Mult: operator.mul,
+    ast.Div: operator.truediv,
+    ast.Pow: operator.pow,
+}
+_UNARY_OPERATORS = {ast.UAdd: operator.pos, ast.USub: operator.neg}
+
+# Public component names for AMESim state/output values that are promoted to
+# explicit initial-value parameters. Unlisted names map one-to-one.
+_SOURCE_FIELD_BY_PARAMETER = {
+    "amesim_mecmas21": {"v0": "v1", "x0": "x1"},
+    "amesim_pnch012": {"p0": "press", "T0": "temp"},
+    "amesim_pnch023": {"p0": "press", "T0": "temp"},
+    "amesim_pnl0001": {"p0": "p2", "T0": "t2"},
+    "amesim_pnl0002": {"p0": "pctr", "T0": "tctr"},
+    "amesim_pnl0003": {
+        "p1_0": "p1",
+        "T1_0": "t1",
+        "p2_0": "p2",
+        "T2_0": "t2",
+    },
+    "amesim_step0": {"initial": "out0", "final": "out1", "time": "t0"},
+}
+_FIXED_PUBLIC_DEFAULTS = {
+    "amesim_pnch012": {
+        "vol1": 0.0,
+        "vol2": 0.0,
+        "vol3": 0.0,
+        "vol4": 0.0,
+        "dvol1": 0.0,
+        "dvol2": 0.0,
+        "dvol3": 0.0,
+        "dvol4": 0.0,
+    },
+    "amesim_pnvo001": {"opening0": 1.0},
+}
+_GAUGE_PRESSURE_FIELDS = {"press", "p1", "p2", "pctr"}
+_SOURCE_TO_SI_SCALE = {
+    ("mm", "m"): 1.0e-3,
+    ("mm**2", "m2"): 1.0e-6,
+    ("L", "m3"): 1.0e-3,
+    ("N/mm", "N/m"): 1.0e3,
+    ("N/(mm/s)", "N/(m/s)"): 1.0e3,
+}
+_EQUIVALENT_UNIT_PAIRS = {
+    ("", ""),
+    ("null", ""),
+    ("degree", ""),
+    ("J/m**2/K/s", "W/(m2*K)"),
+    ("N/m**2", "Pa"),
+    ("m**2", "m2"),
+    ("N/(m/s)**2", "N/(m/s)^2"),
+}
+_SELECTABLE_UNITS_BY_QUANTITY = {
+    "area": {"m2", "cm2", "mm2"},
+    "heat_transfer_coefficient": {"W/(m2*K)"},
+    "pressure": {"Pa", "kPa", "MPa", "bar"},
+    "volume": {"m3", "L", "mL"},
+    "temperature": {"K", "degC"},
+    "length": {"m", "cm", "mm"},
+}
+
+
+@dataclass(frozen=True)
+class AmesimValue:
+    expression: str
+    unit: str
+
+
+@dataclass(frozen=True)
+class AmesimContract:
+    simulation_values: tuple[float, ...]
+    node_types: Mapping[str, str]
+    parameters: Mapping[str, Mapping[str, float]]
+    edges: tuple[tuple[str, str], ...]
+    component_count: int
+    modeled_line_count: int
+    direct_line_count: int
+    contact_count: int
+
+
+def _element_text(body: str, name: str) -> str | None:
+    match = re.search(rf"<{name}>(.*?)</{name}>", body, flags=re.DOTALL)
+    return match.group(1).strip() if match else None
+
+
+def _required_element_text(body: str, name: str) -> str:
+    value = _element_text(body, name)
+    if value is None:
+        raise AssertionError(f"AME circuit element is missing <{name}>.")
+    return value
+
+
+def _blocks(body: str, name: str) -> list[str]:
+    return re.findall(
+        rf"<{name}>\s*(.*?)\s*</{name}>", body, flags=re.DOTALL
+    )
+
+
+def _evaluate_expression(expression: str, variables: Mapping[str, float]) -> float:
+    parsed = ast.parse(expression.strip().replace("^", "**"), mode="eval")
+
+    def evaluate(node: ast.AST) -> float:
+        if (
+            isinstance(node, ast.Constant)
+            and isinstance(node.value, (int, float))
+            and not isinstance(node.value, bool)
+        ):
+            return float(node.value)
+        if isinstance(node, ast.Name):
+            if node.id not in variables:
+                raise ValueError(f"unknown AME expression variable {node.id!r}")
+            return float(variables[node.id])
+        if isinstance(node, ast.BinOp) and type(node.op) in _BINARY_OPERATORS:
+            return float(
+                _BINARY_OPERATORS[type(node.op)](
+                    evaluate(node.left), evaluate(node.right)
+                )
+            )
+        if isinstance(node, ast.UnaryOp) and type(node.op) in _UNARY_OPERATORS:
+            return float(_UNARY_OPERATORS[type(node.op)](evaluate(node.operand)))
+        raise ValueError(f"unsupported expression node {type(node).__name__}")
+
+    value = evaluate(parsed.body)
+    if not math.isfinite(value):
+        raise ValueError(f"expression is not finite: {expression!r}")
+    return value
+
+
+def _public_model_type(submodel: str) -> str:
+    return (
+        "amesim_helium_medium"
+        if submodel == "PNGD00"
+        else f"amesim_{submodel.lower()}"
+    )
+
+
+def _value_fields(entity_body: str) -> dict[str, AmesimValue]:
+    fields: dict[str, AmesimValue] = {}
+    for kind in ("RPARAM", "IPARAM", "IVAR", "EVAR"):
+        for field_body in _blocks(entity_body, kind):
+            name = _element_text(field_body, "VARNAME")
+            value = _element_text(field_body, "VALUE")
+            if name is not None and value is not None:
+                fields[name] = AmesimValue(
+                    value, _element_text(field_body, "UNITS") or ""
+                )
+    return fields
+
+
+def _resolve_globals(cir_text: str) -> dict[str, float]:
+    remaining = {
+        _required_element_text(body, "GLOB_PARAM_NAME"): _required_element_text(
+            body, "VALUE"
+        )
+        for body in _blocks(cir_text, "GLOBALPARAM")
+    }
+    resolved: dict[str, float] = {}
+    while remaining:
+        progressed = False
+        for name, expression in tuple(remaining.items()):
+            try:
+                resolved[name] = _evaluate_expression(expression, resolved)
+            except ValueError:
+                continue
+            del remaining[name]
+            progressed = True
+        if not progressed:
+            raise AssertionError(
+                "Unable to resolve AME globals: " + ", ".join(sorted(remaining))
+            )
+    return resolved
+
+
+def _source_value_in_public_units(
+    source: AmesimValue,
+    *,
+    target_unit: str,
+    source_name: str,
+    globals_: Mapping[str, float],
+) -> float:
+    value = _evaluate_expression(source.expression, globals_)
+    if source_name in _GAUGE_PRESSURE_FIELDS:
+        if (source.unit, target_unit) != ("Pa", "Pa"):
+            raise AssertionError(
+                f"Unexpected gauge-pressure units for {source_name}: "
+                f"{source.unit!r} -> {target_unit!r}."
+            )
+        return value + AMESIM_REFERENCE_PRESSURE_PA
+
+    pair = (source.unit, target_unit)
+    if pair in _SOURCE_TO_SI_SCALE:
+        return value * _SOURCE_TO_SI_SCALE[pair]
+    if source.unit == target_unit or pair in _EQUIVALENT_UNIT_PAIRS:
+        return value
+    raise AssertionError(
+        f"No AME-to-public conversion for {source_name}: "
+        f"{source.unit!r} -> {target_unit!r}."
+    )
+
+
+def _expected_parameters(
+    entity_body: str,
+    model_type: str,
+    globals_: Mapping[str, float],
+) -> dict[str, float]:
+    spec = get_component_model_spec(model_type)
+    fields = _value_fields(entity_body)
+    expected = {
+        parameter.name: float(parameter.default) for parameter in spec.parameters
+    }
+    source_names = _SOURCE_FIELD_BY_PARAMETER.get(model_type, {})
+    fixed_defaults = _FIXED_PUBLIC_DEFAULTS.get(model_type, {})
+    unbound: list[str] = []
+    for parameter in spec.parameters:
+        source_name = source_names.get(parameter.name, parameter.name)
+        if source_name in fields:
+            expected[parameter.name] = _source_value_in_public_units(
+                fields[source_name],
+                target_unit=parameter.unit,
+                source_name=source_name,
+                globals_=globals_,
+            )
+        elif parameter.name in fixed_defaults:
+            expected[parameter.name] = fixed_defaults[parameter.name]
+            if float(parameter.default) != expected[parameter.name]:
+                raise AssertionError(
+                    f"{model_type}.{parameter.name} changed its fixed public "
+                    "default without an AME source-field mapping."
+                )
+        elif not (
+            (model_type == "amesim_forc" and parameter.name == "direction")
+            or (
+                model_type == "amesim_helium_medium"
+                and parameter.name == "property_model"
+            )
+        ):
+            unbound.append(parameter.name)
+
+    if unbound:
+        raise AssertionError(
+            f"AME parameter mapping is incomplete for {model_type}: "
+            + ", ".join(unbound)
+        )
+
+    if model_type == "amesim_forc":
+        geometry = _required_element_text(entity_body, "COMP_GEOMETRY")
+        if geometry not in {"2", "8"}:
+            raise AssertionError(f"Unsupported FORC geometry {geometry!r}.")
+        expected["direction"] = 1.0 if geometry == "2" else -1.0
+
+    if model_type == "amesim_helium_medium":
+        codes = tuple(
+            _evaluate_expression(fields[name].expression, globals_)
+            for name in ("fluidType", "eosType", "gasSetting")
+        )
+        if codes != (12.0, 6.0, 1.0):
+            raise AssertionError(
+                "PNGD00 no longer selects helium/Peng-Robinson."
+            )
+        expected["property_model"] = 0.0
+    return expected
+
+
+def _load_ame_contract(path: Path) -> AmesimContract:
+    with tarfile.open(path) as archive:
+        cir_file = archive.extractfile("test_mql_.cir")
+        sim_file = archive.extractfile("test_mql_.sim")
+        if cir_file is None or sim_file is None:
+            raise AssertionError(
+                "AME archive is missing test_mql_.cir or test_mql_.sim."
+            )
+        cir_text = cir_file.read().decode("latin1")
+        simulation_values = tuple(
+            float(value)
+            for value in sim_file.read().decode("ascii").splitlines()[0].split()
+        )
+
+    globals_ = _resolve_globals(cir_text)
+    component_bodies = _blocks(cir_text, "COMP")
+    line_bodies = _blocks(cir_text, "LINE")
+    node_types: dict[str, str] = {}
+    parameters: dict[str, Mapping[str, float]] = {}
+    for index, body in enumerate(component_bodies):
+        key = f"component:{index}"
+        model_type = _public_model_type(
+            _required_element_text(body, "SUB_NAME")
+        )
+        node_types[key] = model_type
+        parameters[key] = _expected_parameters(body, model_type, globals_)
+
+    # PORT_CONNECT=1 is an AMESim contact; line-backed ports use value 2 and
+    # are reconstructed from LINES_LIST below.
+    directed_contacts: set[
+        tuple[tuple[int, int], tuple[int, int]]
+    ] = set()
+    contacts: set[tuple[tuple[int, int], tuple[int, int]]] = set()
+    for component_index, body in enumerate(component_bodies):
+        for port_index, port_body in enumerate(_blocks(body, "COMP_PORT")):
+            if _required_element_text(port_body, "PORT_CONNECT") != "1":
+                continue
+            for connection_body in _blocks(port_body, "CONNECT"):
+                target_index = int(
+                    _required_element_text(
+                        connection_body, "CONNECT_ENTITY_NUM"
+                    )
+                )
+                target_port = int(
+                    _required_element_text(
+                        connection_body, "CONNECT_ENTITY_PORT"
+                    )
+                )
+                endpoint = (component_index, port_index)
+                target = (target_index, target_port)
+                directed_contacts.add((endpoint, target))
+                contacts.add(tuple(sorted((endpoint, target))))
+
+    for endpoint, target in directed_contacts:
+        if (target, endpoint) not in directed_contacts:
+            raise AssertionError(
+                "AME component contact is not reciprocal: "
+                f"{endpoint} -> {target}."
+            )
+    edges = [
+        (f"component:{first[0]}", f"component:{second[0]}")
+        for first, second in contacts
+    ]
+
+    direct_line_count = 0
+    modeled_line_count = 0
+    for line_index, body in enumerate(line_bodies):
+        if (
+            _required_element_text(body, "LINE_START_TYPE") != "0"
+            or _required_element_text(body, "LINE_END_TYPE") != "0"
+        ):
+            raise AssertionError(
+                "test_mql contains a non-component line endpoint."
+            )
+        start = (
+            "component:"
+            + _required_element_text(body, "LINE_START_ENTITY")
+        )
+        end = (
+            "component:"
+            + _required_element_text(body, "LINE_END_ENTITY")
+        )
+        if start not in node_types or end not in node_types:
+            raise AssertionError(
+                f"AME line references an unknown endpoint: {start}, {end}."
+            )
+        submodel = _required_element_text(body, "SUB_NAME")
+        if submodel == "DIRECT":
+            direct_line_count += 1
+            edges.append((start, end))
+            continue
+
+        modeled_line_count += 1
+        key = f"line:{line_index}"
+        model_type = _public_model_type(submodel)
+        node_types[key] = model_type
+        parameters[key] = _expected_parameters(
+            body, model_type, globals_
+        )
+        edges.extend(((start, key), (key, end)))
+
+    return AmesimContract(
+        simulation_values=simulation_values,
+        node_types=node_types,
+        parameters=parameters,
+        edges=tuple(edges),
+        component_count=len(component_bodies),
+        modeled_line_count=modeled_line_count,
+        direct_line_count=direct_line_count,
+        contact_count=len(contacts),
+    )
+
+
+def _numeric_project_value(value: object) -> float:
+    if isinstance(value, bool):
+        raise AssertionError(
+            "Boolean is not a valid project parameter value."
+        )
+    if isinstance(value, (int, float)):
+        result = float(value)
+    elif isinstance(value, str):
+        result = _evaluate_expression(value, {})
+    else:
+        raise AssertionError(
+            f"Unsupported project parameter value {value!r}."
+        )
+    if not math.isfinite(result):
+        raise AssertionError(
+            f"Project parameter value is not finite: {value!r}."
+        )
+    return result
+
+
+def _parameter_fingerprint(
+    values: Mapping[str, object],
+) -> tuple[tuple[str, str], ...]:
+    # Fifteen significant digits collapse only normal IEEE-754 expression
+    # noise (for example 100000.00000000001 versus 100000).
+    return tuple(
+        sorted(
+            (name, format(_numeric_project_value(value), ".15g"))
+            for name, value in values.items()
+        )
+    )
+
+
+def _topology_fingerprints(
+    node_types: Mapping[str, str],
+    edges: tuple[tuple[str, str], ...],
+    *,
+    rounds: int = 12,
+) -> tuple[Counter[str], ...]:
+    adjacency = {node_id: [] for node_id in node_types}
+    for first, second in edges:
+        if first not in adjacency or second not in adjacency:
+            raise AssertionError(
+                f"Unknown topology endpoint: {first}, {second}."
+            )
+        adjacency[first].append(second)
+        adjacency[second].append(first)
+
+    colors = {
+        node_id: hashlib.sha256(model_type.encode()).hexdigest()
+        for node_id, model_type in node_types.items()
+    }
+    fingerprints: list[Counter[str]] = []
+    for _ in range(rounds):
+        colors = {
+            node_id: hashlib.sha256(
+                repr(
+                    (
+                        node_types[node_id],
+                        colors[node_id],
+                        sorted(
+                            colors[neighbor]
+                            for neighbor in adjacency[node_id]
+                        ),
+                    )
+                ).encode()
+            ).hexdigest()
+            for node_id in node_types
+        }
+        fingerprints.append(Counter(colors.values()))
+    return tuple(fingerprints)
+
+
+class TestMqlAmeAuthorityContractTests(unittest.TestCase):
+    @classmethod
+    def setUpClass(cls) -> None:
+        cls.ame_payload = AME_PATH.read_bytes()
+        cls.ame = _load_ame_contract(AME_PATH)
+        cls.project = json.loads(JSON_PATH.read_text(encoding="utf-8"))
+        cls.xml_root = ET.parse(XML_PATH).getroot()
+        cls.manifest = json.loads(
+            MANIFEST_PATH.read_text(encoding="utf-8")
+        )
+
+    def test_manifest_and_results_bind_the_exact_ame_archive(self) -> None:
+        self.assertEqual(len(self.ame_payload), EXPECTED_AME_BYTES)
+        self.assertEqual(
+            hashlib.sha256(self.ame_payload).hexdigest(),
+            EXPECTED_AME_SHA256,
+        )
+
+        reference = self.manifest["source"]["referenceArchive"]
+        self.assertEqual(
+            reference,
+            {
+                "path": "AmesimModels/test_mql.ame",
+                "sha256": EXPECTED_AME_SHA256,
+                "bytes": EXPECTED_AME_BYTES,
+                "role": "authoritativePhysicalBaseline",
+                "resultStartTime": 0.0,
+                "resultStopTime": 10.0,
+                "resultSampleStep": 0.01,
+                "resultPointCount": EXPECTED_RESULT_POINT_COUNT,
+            },
+        )
+        self.assertEqual(
+            (REPOSITORY_ROOT / reference["path"]).resolve(),
+            AME_PATH.resolve(),
+        )
+
+        # .sim: start, stop, print interval, ..., maximum integration step.
+        self.assertGreaterEqual(len(self.ame.simulation_values), 6)
+        self.assertEqual(self.ame.simulation_values[0], 0.0)
+        self.assertEqual(self.ame.simulation_values[1], 10.0)
+        self.assertEqual(self.ame.simulation_values[2], 0.01)
+        self.assertEqual(self.ame.simulation_values[5], 0.001)
+
+        results = load_test_mql_amesim_results(AME_PATH)
+        self.assertEqual(
+            len(results.times), EXPECTED_RESULT_POINT_COUNT
+        )
+        self.assertEqual(
+            results.times[0], reference["resultStartTime"]
+        )
+        self.assertEqual(
+            results.times[-1], reference["resultStopTime"]
+        )
+        self.assertTrue(
+            all(
+                left < right
+                for left, right in zip(
+                    results.times, results.times[1:]
+                )
+            )
+        )
+        step = reference["resultSampleStep"]
+        self.assertTrue(
+            all(
+                math.isclose(
+                    time,
+                    round(time / step) * step,
+                    rel_tol=0.0,
+                    abs_tol=1.0e-10,
+                )
+                for time in results.times
+            )
+        )
+
+    def test_json_inventory_parameters_and_topology_derive_from_ame(
+        self,
+    ) -> None:
+        nodes = self.project["nodes"]
+        edges = self.project["edges"]
+        json_node_types = {
+            node["id"]: node["data"]["modelType"] for node in nodes
+        }
+        json_edges = tuple(
+            (edge["source"], edge["target"]) for edge in edges
+        )
+
+        self.assertEqual(self.ame.component_count, 117)
+        self.assertEqual(self.ame.modeled_line_count, 40)
+        self.assertEqual(self.ame.direct_line_count, 44)
+        self.assertEqual(self.ame.contact_count, 54)
+        self.assertEqual(
+            len(self.ame.node_types), EXPECTED_NODE_COUNT
+        )
+        self.assertEqual(
+            len(self.ame.edges), EXPECTED_CONNECTION_COUNT
+        )
+        self.assertEqual(
+            len(set(self.ame.node_types.values())),
+            EXPECTED_MODEL_TYPE_COUNT,
+        )
+
+        self.assertEqual(len(nodes), EXPECTED_NODE_COUNT)
+        self.assertEqual(len(edges), EXPECTED_CONNECTION_COUNT)
+        self.assertEqual(
+            len(set(json_node_types.values())),
+            EXPECTED_MODEL_TYPE_COUNT,
+        )
+        self.assertEqual(
+            Counter(self.ame.node_types.values()),
+            Counter(json_node_types.values()),
+        )
+
+        expected_parameter_count = sum(
+            len(values) for values in self.ame.parameters.values()
+        )
+        actual_parameter_count = sum(
+            len(node["data"]["parameters"]) for node in nodes
+        )
+        self.assertEqual(
+            expected_parameter_count, EXPECTED_PARAMETER_COUNT
+        )
+        self.assertEqual(
+            actual_parameter_count, EXPECTED_PARAMETER_COUNT
+        )
+
+        expected_by_type: dict[
+            str, Counter[tuple[tuple[str, str], ...]]
+        ] = {}
+        for node_id, model_type in self.ame.node_types.items():
+            expected_by_type.setdefault(model_type, Counter()).update(
+                [
+                    _parameter_fingerprint(
+                        self.ame.parameters[node_id]
+                    )
+                ]
+            )
+        actual_by_type: dict[
+            str, Counter[tuple[tuple[str, str], ...]]
+        ] = {}
+        for node in nodes:
+            model_type = node["data"]["modelType"]
+            actual_by_type.setdefault(model_type, Counter()).update(
+                [
+                    _parameter_fingerprint(
+                        node["data"]["parameters"]
+                    )
+                ]
+            )
+        self.assertEqual(actual_by_type, expected_by_type)
+
+        expected_edge_types = Counter(
+            tuple(
+                sorted(
+                    (
+                        self.ame.node_types[first],
+                        self.ame.node_types[second],
+                    )
+                )
+            )
+            for first, second in self.ame.edges
+        )
+        actual_edge_types = Counter(
+            tuple(
+                sorted(
+                    (
+                        json_node_types[first],
+                        json_node_types[second],
+                    )
+                )
+            )
+            for first, second in json_edges
+        )
+        self.assertEqual(actual_edge_types, expected_edge_types)
+        self.assertEqual(
+            _topology_fingerprints(
+                json_node_types, json_edges
+            ),
+            _topology_fingerprints(
+                self.ame.node_types, self.ame.edges
+            ),
+        )
+
+    def test_json_units_and_component_contracts_are_complete(
+        self,
+    ) -> None:
+        for node in self.project["nodes"]:
+            with self.subTest(component=node["id"]):
+                data = node["data"]
+                self.assertEqual(
+                    data["componentType"], data["modelType"]
+                )
+                spec = get_component_model_spec(data["modelType"])
+                self.assertEqual(
+                    data["modelVersion"], spec.model_version
+                )
+                self.assertEqual(
+                    set(data["parameters"]),
+                    {
+                        parameter.name
+                        for parameter in spec.parameters
+                    },
+                )
+                self.assertEqual(
+                    {port["name"] for port in data["ports"]},
+                    {port.name for port in spec.ports},
+                )
+
+                units = data.get("parameterUnits", {})
+                self.assertEqual(
+                    set(units),
+                    {
+                        parameter.name
+                        for parameter in spec.parameters
+                        if parameter.unit
+                    },
+                )
+                for parameter in spec.parameters:
+                    if not parameter.unit:
+                        continue
+                    selected = units[parameter.name]
+                    allowed = _SELECTABLE_UNITS_BY_QUANTITY.get(
+                        parameter.quantity, {parameter.unit}
+                    )
+                    self.assertIn(selected, allowed, parameter.name)
+
+    def test_json_and_xml_match_by_id_parameter_endpoint_and_time(
+        self,
+    ) -> None:
+        xml_components = self.xml_root.findall(
+            "./Components/Component"
+        )
+        xml_connections = self.xml_root.findall(
+            "./Connections/Connection"
+        )
+        xml_component_by_id = {
+            component.attrib["id"]: component
+            for component in xml_components
+        }
+        xml_connection_by_id = {
+            connection.attrib["id"]: connection
+            for connection in xml_connections
+        }
+        json_node_by_id = {
+            node["id"]: node for node in self.project["nodes"]
+        }
+        json_edge_by_id = {
+            edge["id"]: edge for edge in self.project["edges"]
+        }
+
+        self.assertEqual(
+            len(xml_component_by_id), len(xml_components)
+        )
+        self.assertEqual(
+            len(xml_connection_by_id), len(xml_connections)
+        )
+        self.assertEqual(
+            set(xml_component_by_id), set(json_node_by_id)
+        )
+        self.assertEqual(
+            set(xml_connection_by_id), set(json_edge_by_id)
+        )
+
+        for node_id, node in json_node_by_id.items():
+            with self.subTest(component=node_id):
+                component = xml_component_by_id[node_id]
+                data = node["data"]
+                self.assertEqual(
+                    component.attrib["type"], data["modelType"]
+                )
+                self.assertEqual(
+                    component.attrib["modelVersion"],
+                    data["modelVersion"],
+                )
+                xml_parameters = {
+                    parameter.attrib["name"]: float(
+                        parameter.attrib["value"]
+                    )
+                    for parameter in component.findall("./Parameter")
+                }
+                json_parameters = {
+                    name: _numeric_project_value(value)
+                    for name, value in data["parameters"].items()
+                }
+                self.assertEqual(
+                    set(xml_parameters), set(json_parameters)
+                )
+                for name, value in json_parameters.items():
+                    self.assertTrue(
+                        math.isclose(
+                            xml_parameters[name],
+                            value,
+                            rel_tol=1.0e-13,
+                            abs_tol=1.0e-13,
+                        ),
+                        (
+                            f"{node_id}.{name}: "
+                            f"XML={xml_parameters[name]!r}, "
+                            f"JSON={value!r}"
+                        ),
+                    )
+
+        for edge_id, edge in json_edge_by_id.items():
+            with self.subTest(connection=edge_id):
+                endpoints = {
+                    (
+                        endpoint.attrib["component"],
+                        endpoint.attrib["port"],
+                    )
+                    for endpoint in xml_connection_by_id[
+                        edge_id
+                    ].findall("./Endpoint")
+                }
+                self.assertEqual(
+                    endpoints,
+                    {
+                        (
+                            edge["source"],
+                            edge["sourceHandle"],
+                        ),
+                        (
+                            edge["target"],
+                            edge["targetHandle"],
+                        ),
+                    },
+                )
+
+        xml_simulation = self.xml_root.find("./Simulation")
+        self.assertIsNotNone(xml_simulation)
+        assert xml_simulation is not None
+        project_simulation = self.project["simulation"]
+        expected_simulation = {
+            "tStart": float(project_simulation["t_start"]),
+            "tStop": float(project_simulation["t_stop"]),
+            "sampleStep": float(project_simulation["step"]),
+            "maxStep": float(project_simulation["max_step"]),
+        }
+        for name, expected in expected_simulation.items():
+            self.assertEqual(
+                float(xml_simulation.attrib[name]), expected
+            )
+        self.assertEqual(
+            xml_simulation.attrib["method"],
+            project_simulation["method"],
+        )
+        self.assertEqual(
+            project_simulation["t_start"],
+            self.ame.simulation_values[0],
+        )
+        self.assertEqual(
+            project_simulation["t_stop"],
+            self.ame.simulation_values[1],
+        )
+        self.assertEqual(
+            project_simulation["step"],
+            self.ame.simulation_values[2],
+        )
+        self.assertEqual(
+            project_simulation["max_step"],
+            self.ame.simulation_values[5],
+        )
+
+
+if __name__ == "__main__":
+    unittest.main()
diff --git a/tests/test_test_mql_comparison.py b/tests/test_test_mql_comparison.py
index bbb30ab..726926a 100644
--- a/tests/test_test_mql_comparison.py
+++ b/tests/test_test_mql_comparison.py
@@ -1,10 +1,14 @@
 from __future__ import annotations
 
+import csv
 import tempfile
 import unittest
 from pathlib import Path
 
-from app.simulation.reporting.amesim_results import load_test_mql_amesim_results
+from app.simulation.reporting.amesim_results import (
+    AmesimResults,
+    load_test_mql_amesim_results,
+)
 from app.simulation.reporting.test_mql_comparison import (
     DEFAULT_TEST_MQL_ALIGNMENT_PATHS,
     TestMqlComparisonError,
@@ -84,6 +88,46 @@ class TestMqlComparisonTests(unittest.TestCase):
         self.assertAlmostEqual(metric.mean_abs_error, 1.0)
         self.assertGreater(metric.max_rel_error, 0.0)
 
+    def test_zero_amesim_baseline_does_not_invent_a_relative_denominator(self) -> None:
+        amesim_results = AmesimResults(
+            times=(0.0, 1.0),
+            variables=(),
+            saved_variable_indices=(),
+            series_by_data_path={"zero@baseline": (0.0, -0.0)},
+            final_values_by_data_path={"zero@baseline": -0.0},
+        )
+
+        comparison = compare_test_mql_series(
+            python_times=(0.0, 1.0),
+            python_series_by_data_path={"zero@baseline": (0.0, 1.0e-6)},
+            amesim_results=amesim_results,
+            data_paths=("zero@baseline",),
+        )
+        metric = comparison.metric("zero@baseline")
+
+        self.assertEqual(metric.max_abs_error, 1.0e-6)
+        self.assertEqual(metric.undefined_rel_error_count, 2)
+        self.assertEqual(metric.near_zero_baseline_count, 2)
+        self.assertEqual(comparison.undefined_rel_error_count, 2)
+        self.assertEqual(metric.max_rel_error, 0.0)
+
+        with tempfile.TemporaryDirectory() as temp_dir:
+            comparison_path, _summary_path, _comparison = (
+                write_test_mql_comparison_csv(
+                    output_dir=Path(temp_dir),
+                    python_times=(0.0, 1.0),
+                    python_series_by_data_path={
+                        "zero@baseline": (0.0, 1.0e-6)
+                    },
+                    amesim_results=amesim_results,
+                    data_paths=("zero@baseline",),
+                )
+            )
+            with comparison_path.open(newline="", encoding="utf-8") as handle:
+                rows = list(csv.reader(handle))
+            self.assertEqual(rows[1][-1], "")
+            self.assertEqual(rows[2][-1], "")
+
     def test_missing_data_path_is_rejected(self) -> None:
         with self.assertRaises(TestMqlComparisonError):
             compare_test_mql_series(