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The stated final objective is the rung plus an LLM way of diving in without being forced to rethink the code. The second half is largely plumbing, because the material already exists: the witness (`username -> db.session.execute(...) in models/user_model.py (line 73, 8 steps)`) is the reasoning, already written down and already attached to the finding. So this session's recurring shape was worth checking rather than assuming, and it was there. `openultrasast.get_finding` returns the whole record including the witness, but `openultrasast.findings` dropped the rung: an LLM listing libpng's 198 rows could not tell the one the graph decided from the 197 an enumerator proposed without fetching all 198 one at a time. That is exactly the re-derivation the list exists to spare it. The list now carries the rung, orders strongest first, and returns a per-rung tally so a caller can triage before it fetches anything. The brief records what still stands between here and the objective: the witness is one line and the query already walks the path elements before discarding all but the first; the suspicion band will be reasoned about at length by an LLM, which is worse than a human ignoring it; and a family that cannot decide its class must say so, or the model will confidently explain a silence. Gates byte-identical. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG