diff --git a/src/k1link/perception/reference_graph_parity.py b/src/k1link/perception/reference_graph_parity.py
index 78f39d1..f7e87b5 100644
--- a/src/k1link/perception/reference_graph_parity.py
+++ b/src/k1link/perception/reference_graph_parity.py
@@ -134,10 +134,15 @@ def compare_reference_graph_to_accepted_ledgers(
             ]
             if observed_camera_uncertainty != expected_camera_uncertainty:
                 mismatch["camera_uncertainty"] += 1
-            if [item.to_dict() for item in delivery.threats] != _array(
-                threat,
-                "assessments",
-            ):
+            observed_assessments = _assessment_index(
+                [item.to_dict() for item in delivery.threats],
+                "graph threat assessments",
+            )
+            expected_assessments = _assessment_index(
+                _array(threat, "assessments"),
+                "accepted threat assessments",
+            )
+            if observed_assessments != expected_assessments:
                 mismatch["threat_assessments"] += 1
             compared += 1
         if temporal_stream.readline() or threat_stream.readline():
@@ -204,6 +209,19 @@ def _boolean(document: dict[str, object], key: str) -> bool:
     return value
 
 
+def _assessment_index(
+    rows: list[dict[str, object]],
+    label: str,
+) -> dict[str, dict[str, object]]:
+    indexed: dict[str, dict[str, object]] = {}
+    for row in rows:
+        component_id = _string(row, "component_id")
+        if component_id in indexed:
+            raise ReferenceGraphParityError(f"{label} contains a duplicate component")
+        indexed[component_id] = row
+    return indexed
+
+
 __all__ = [
     "REFERENCE_GRAPH_PARITY_SCHEMA",
     "ReferenceGraphParityError",
diff --git a/tests/test_reference_graph_parity.py b/tests/test_reference_graph_parity.py
index 16ed30d..a23769d 100644
--- a/tests/test_reference_graph_parity.py
+++ b/tests/test_reference_graph_parity.py
@@ -3,7 +3,7 @@ from __future__ import annotations
 import json
 from pathlib import Path
 
-from k1link.perception.contracts import LocalObstacleMap, SourceAccounting
+from k1link.perception.contracts import LocalObstacleMap, SourceAccounting, ThreatAssessment
 from k1link.perception.graph_contracts import (
     REFERENCE_GRAPH_ID_V2,
     DeliveredFrame,
@@ -18,7 +18,7 @@ from k1link.perception.reference_graph_parity import (
 )
 
 
-def _result():
+def _result(threats: tuple[ThreatAssessment, ...] = ()):
     obstacle_map = LocalObstacleMap(
         source_id="RAVNOVES00",
         session_id="20260720T065719Z_viewer_live",
@@ -48,7 +48,7 @@ def _result():
                 reason="object-payload-delivered",
             ),
         ),
-        deliveries=(DeliveredFrame(0, obstacle_map, ()),),
+        deliveries=(DeliveredFrame(0, obstacle_map, threats),),
         queue_high_watermarks=(("detector", 1),),
     )
 
@@ -119,3 +119,43 @@ def test_reference_graph_parity_reports_threat_drift(tmp_path: Path) -> None:
 
     assert report.accepted is False
     assert dict(report.mismatch_counts)["threat_assessments"] == 1
+
+
+def test_reference_graph_parity_treats_assessment_order_as_nonsemantic(
+    tmp_path: Path,
+) -> None:
+    first = {
+        "schema_version": "missioncore.threat-assessment/v1",
+        "assessment_id": "threat-first",
+        "component_id": "component-first",
+        "rig_profile_id": "rig-test",
+        "corridor_profile_id": "corridor-test",
+        "qualification": "unqualified",
+        "relative_speed_mps": None,
+        "closest_approach_m": None,
+        "ttc_seconds": None,
+        "corridor_intersection": "unknown",
+        "decision": "unknown",
+        "reason_codes": ["test-unavailable"],
+        "authority": "replay-simulated",
+        "physical_collision_accepted": False,
+        "actuation_allowed": False,
+    }
+    second = {
+        **first,
+        "assessment_id": "threat-second",
+        "component_id": "component-second",
+    }
+    temporal, threat = _write_ledgers(
+        tmp_path,
+        threat_assessments=[second, first],
+    )
+
+    report = compare_reference_graph_to_accepted_ledgers(
+        _result((ThreatAssessment.from_dict(first), ThreatAssessment.from_dict(second))),
+        temporal_frames_path=temporal,
+        threat_frames_path=threat,
+        expected_frames=1,
+    )
+
+    assert report.accepted is True