fix: distinguish requested and safety decimation

scripts/generate_asset.py

@@ -274,7 +274,11 @@ def _run_pbr_attempts(
         attempt = {
             "baker": baker,
             "target_faces": target,
-            "technical_safety_target": target == SAFETY_FACE_TARGET and raw_faces > SAFETY_FACE_TARGET,
+            "technical_safety_target": (
+                requested_target is None
+                and target == SAFETY_FACE_TARGET
+                and raw_faces > SAFETY_FACE_TARGET
+            ),
         }
         attempt_started = time.perf_counter()
         try:
@@ -533,9 +537,13 @@ def main() -> int:
 
         metadata["candidate_pbr"] = _candidate_stats(candidate_path, exported)
         metadata["candidate_pbr"].update(chosen)
-        metadata["candidate_pbr"]["technical_decimation"] = bool(
+        metadata["candidate_pbr"]["decimated"] = bool(
             chosen["target_faces"] is not None and chosen["target_faces"] < raw_faces
         )
+        metadata["candidate_pbr"]["technical_decimation"] = bool(
+            metadata["candidate_pbr"]["decimated"]
+            and chosen["technical_safety_target"]
+        )
         metadata["timings_seconds"]["pbr_export"] = round(time.perf_counter() - pbr_started, 3)
         from trellis2.gltf_validation import validate_output_pair
 

tests/test_generate_asset.py

@@ -98,6 +98,24 @@ def test_explicit_kdtree_never_loads_metal():
     assert list(generate_asset._attempt_schedule("kdtree", None, 1000)) == [("kdtree", None)]
 
 
+def test_explicit_200k_target_is_not_mislabeled_as_safety_fallback(tmp_path: Path):
+    def fake_export(mesh, path, *, baker, target, texture_size):
+        path.write_bytes(b"candidate")
+        return object(), True
+
+    _, chosen, _ = generate_asset._run_pbr_attempts(
+        _mesh(800_000),
+        tmp_path / "candidate_pbr.glb",
+        preferred_baker="kdtree",
+        requested_target=200_000,
+        texture_size=512,
+        export_fn=fake_export,
+    )
+
+    assert chosen["target_faces"] == 200_000
+    assert chosen["technical_safety_target"] is False
+
+
 def test_raw_export_preserves_full_topology_and_writes_vertex_normals(tmp_path: Path):
     vertices = torch.tensor(
         [