fix: retain WALOUS edition warnings

backend/app/services/temporal_analysis_service.py

@@ -327,9 +327,10 @@ class TemporalAnalysisService:
         warnings = [
             "WALOUS-evolutie vergelijkt celgebaseerde landbedekkingsoppervlakten; individuele objectwijzigingen zijn niet beschikbaar.",
         ]
-        limitation = str(later_summary.get("warning") or earlier_summary.get("warning") or "").strip()
-        if limitation:
-            warnings.append(limitation)
+        for summary in (earlier_summary, later_summary):
+            limitation = str(summary.get("warning") or "").strip()
+            if limitation and limitation not in warnings:
+                warnings.append(limitation)
         return TemporalComparisonResponse(
             temporal_series_key=str(earlier.temporal_series_key),
             earlier=TemporalDatasetRef(
@@ -497,7 +498,6 @@ class TemporalAnalysisService:
         earlier_full_dataset_area: bool = False,
         later_full_dataset_area: bool = False,
     ) -> tuple[TemporalObjectChanges, dict[str, Any], list[str]]:
-        earlier_config = earlier.source_metadata if isinstance(earlier.source_metadata, dict) else {}
         later_config = later.source_metadata if isinstance(later.source_metadata, dict) else {}
         earlier_identity = TemporalAnalysisService._identity_contract(earlier)
         later_identity = TemporalAnalysisService._identity_contract(later)

backend/tests/test_walous_land_cover_service.py

@@ -499,7 +499,11 @@ def test_walous_temporal_comparison_reuses_persisted_raster_metrics(
                     }
                 ],
             },
-            "limitation_message": "Cell-based estimate.",
+            "limitation_message": (
+                "2018 crosswalk and methodology limitation."
+                if dataset_id == earlier.id
+                else "2023 edition accuracy limitation."
+            ),
         }
 
     monkeypatch.setattr(WalousLandCoverService, "analyze", analyze)
@@ -523,6 +527,8 @@ def test_walous_temporal_comparison_reuses_persisted_raster_metrics(
     assert result.metric.later_value == 5.5
     assert result.metric.absolute_change == 1.5
     assert result.object_changes.available is False
+    assert "2018 crosswalk and methodology limitation." in result.warnings
+    assert "2023 edition accuracy limitation." in result.warnings
 
 
 def test_walous_api_routes_use_canonical_envelopes(monkeypatch) -> None:

docs/CODEX_EXECUTION_LOG.md

@@ -3673,6 +3673,21 @@ Validation:
   scope, validated regions, national status and the review requirement; the
   configured local weights remain bound to Mol/Kempen evidence and fail closed
   as not nationally validated.
+- Deployed immutable AI image
+  `geointel-all-in-one:f5431387128d193e6e638818f5641d3410227fd6-ai`;
+  live health, PostGIS 3.6, Alembic `202607160001`, browser proxy and packaged
+  SPW terrain provisioner checks passed. The configured YOLO capability now
+  returns `nationally_validated=false`, `validated_regions=[flanders_mol_kempen]`
+  and `operator_review_required=true` from the runtime API.
+- Live WALOUS 2018 acquisition created Dataset
+  `572dd6d0-c829-41d4-bf4a-19b6563c3ff0` for the 130.28 km² Wallonia golden
+  area. All 1,302,769 derived 10 m cells were valid; measured cover included
+  3,615.39 ha forest/tree cover, 209.84 ha water and 2,315.33 ha artificial
+  cover. Same-scope 2020/2023 acquisition then produced a three-observation,
+  seven-metric 2018-2023 comparison without inventing object changes.
+- Live comparison exposed that only the later WALOUS limitation was returned.
+  Temporal responses now retain both edition warnings, ensuring the 2018
+  crosswalk/methodology caveat survives comparison with 2023.
 - Live Tower provisioning exposed an incorrect assumption that 11 WALOUS
   classes implied numeric codes 1 through 11. The official SPW legend and the
   downloaded 2020 raster confirm codes `1,2,3,4,5,6,7,8,9,80,90`. Corrected