feat(perception): add frozen yolox provider

src/k1link/perception/baseline.py

@@ -21,6 +21,9 @@ BASELINE_SOURCE_ID: Final = "RAVNOVES00"
 BASELINE_SESSION_ID: Final = "20260720T065719Z_viewer_live"
 BASELINE_CAMERA_SOURCE_ID: Final = "sensor.camera.right"
 BASELINE_RECORDED_JOB_ID: Final = "recorded-camera-602ac89026ed12978619801d"
+BASELINE_CAMERA_STREAM_SHA256: Final = (
+    "cadd1696ff000904eb78633a0a8418104b8024f178b91f3421789021ccb160e8"
+)
 BASELINE_SOURCE_PACK_ID: Final = (
     "e10-lidar-pack-576c994a6c814e2592dd6240ace3902a5db94843312c759a73ba0c9166157d2b"
 )
@@ -124,7 +127,8 @@ def load_m4_baseline(path: Path) -> BaselineProfile:
         raise BaselineContractError("M4 source pack identity changed")
     if source.get("source_pack_artifact_sha256") != BASELINE_SOURCE_PACK_SHA256:
         raise BaselineContractError("M4 source pack artifact identity changed")
-    _digest(source.get("camera_stream_sha256"), "camera stream digest")
+    if source.get("camera_stream_sha256") != BASELINE_CAMERA_STREAM_SHA256:
+        raise BaselineContractError("M4 camera stream identity changed")
     modalities = _string_array(source.get("modalities"), "source modalities")
     if set(modalities) != {"image", "registered-point-increment", "pose"}:
         raise BaselineContractError("baseline source must bind image, points and pose")