1e00eb4472
9-run empirical test showed 20 of 27 audit_lessons signatures were singletons (count=1) — the cloud producing slightly-different summary phrasings for the SAME underlying claim on each audit, each hashing to a fresh signature. That's the creep J flagged — not explosive, but steady ~2 new sigs per run, unbounded over hundreds of runs. Root cause: temperature=0.2 + think=true was letting variable prose leak into the classification output. Fix: temp=0 (greedy sample → identical input yields identical output on same model version), think=false (no reasoning trace variance), max_tokens 3000→1500 (tighter bound prevents tail wander). The compounding policy itself was validated by the 9 runs: - 7 recurring claims (the legitimate signals) all at conf 0.08-0.20 - ratingSeverity() correctly held them at info (below 0.3 threshold) - cross-PR signal test separately confirmed conf=1.00 → sev=block Also: LH_AUDIT_RUNS env so the test can validate with smaller N.