C内核按库功能拆解，编译结果缓存区构建，编译过程与已有缓存结果对照功能实现

app/simulation/native_codegen/runner.py

@@ -105,6 +105,7 @@ def execute_native(build: NativeBuild, config: SolveIVPConfig, sample_step: floa
     payload["buildKey"] = build.manifest["buildKey"]
     payload["cacheHit"] = build.cache_hit
     payload["buildSeconds"] = build.seconds
+    payload["buildDetails"] = build.details
     if activity_tracker is not None:
         activity_tracker.record_native_progress(payload["simulatedUntil"], payload["nfev"], payload["acceptedSteps"])
     return payload
@@ -115,13 +116,20 @@ def simulate_native(network, config, *, sample_step, progress_callback=None,
     if config.method not in ("RK45", "BDF"):
         raise NativeCapabilityError(f"Native v1 does not support method {config.method}.")
     if progress_callback:
-        progress_callback(0.0, "initializing")
+        progress_callback(0.0, "native-generation")
     program = compile_native_program(network)
-    build = build_native(program)
-    with tempfile.TemporaryDirectory(prefix="native-simulation-") as directory:
-        data = execute_native(build, config, sample_step, run_dir=Path(directory),
-                              cancel_check=cancel_check, progress_callback=progress_callback,
-                              activity_tracker=activity_tracker, raw_series=raw_series)
+    build = build_native(program, progress_callback=(
+        (lambda phase: progress_callback(0.0, phase)) if progress_callback else None
+    ))
+    try:
+        with tempfile.TemporaryDirectory(prefix="native-simulation-") as directory:
+            data = execute_native(build, config, sample_step, run_dir=Path(directory),
+                                  cancel_check=cancel_check, progress_callback=progress_callback,
+                                  activity_tracker=activity_tracker, raw_series=raw_series)
+    finally:
+        # Keep the executable pinned through process exit and result reading;
+        # only then may cache eviction reclaim this completed model version.
+        build.close()
     totals = {
         "nfev": data["nfev"], "njev": data["njev"], "nlu": data["nlu"],
         "acceptedStepCount": data["acceptedSteps"], "rejectedStepCount": data["rejectedSteps"],