Add Mol false-negative visual review evidence

docs/AI_PIPELINES.md

@@ -150,6 +150,26 @@ Only records explicitly marked `confirmed_model_false_positive` are emitted by
 the validator as possible hard-negative review input. The workflow does not
 train a model, mutate QA persistence, fetch data or infer review decisions.
 
+### Persisted false-negative visual review
+
+False negatives require the same manual distinction. A missed reference can be
+a true model miss, a stale reference, an obscured object, a box-to-footprint
+matching failure or an object outside the raster actually presented to the
+model. The read-only false-negative renderer resolves the persisted tile
+manifest from the fixed-threshold run and overlays:
+
+- red: the missed GRB/reference footprint;
+- blue: nearby persisted candidate detections;
+- green: nearby matched reference footprints.
+
+The decision contract is `confirmed_model_false_negative`,
+`reference_gap_or_change`, `qa_alignment_mismatch`,
+`imagery_obscured_or_uncertain` or `unreviewed`. References outside every
+persisted inference tile are written to a separate exclusion GeoJSON and are
+not treated as reviewable model misses. This renderer does not alter persisted
+QA metrics; coverage-adjusted values remain audit diagnostics until the QA
+service evaluation population is deliberately hardened.
+
 ### Local model asset catalog
 
 GeoIntel can list local runtime model files mounted into the backend model