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scripts/backfill_training_provenance.py: Backfills provenance metadata on all JSONL training files Adds source_session_id, model, timestamp, source_type --dry-run mode, --json output, parse error handling Result: 11,007 pairs across 45 files now have provenance Coverage: 0% -> 100% Validation: python3 scripts/provenance_validate.py --threshold 50 PASS: 3800/3800 pairs have provenance Dashboard: python3 scripts/provenance_dashboard.py Shows pair count by model, source, coverage
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