auditor grounding — a prescribed, bounded exploration procedure + born-in find pointers
Observed live: the auditor looped find for a very long time, never touching list_sessions/list_propositions. Root cause was the prompt: its only procedure text was 'For each proposition, search the graph (its key words, its synonyms, its phrasings)' — a per-proposition find loop with no starting point, no sense of the space's extent, and no termination rule. And find returned id+name+statement with no session pointer, so results never composed with the listing tools (owner diagnosis, 2026-09-29). - AUDITOR_INSTRUCTIONS now prescribes the process: (1) list_sessions ONCE — the graph is small and finite, this shows its entire extent; (2) read plausibly-related sessions with list_propositions (full text) — every realistic candidate seen in a few calls; (3) find as the targeted sweep; (4) SUBMIT once related sessions are read — never re-search seen ground - find hits now carry 'born in: <session id>' — results point at sessions the auditor can read whole (legacy no-provenance nodes name none) - identity doctrine untouched: equivalence bias, linkTo mechanics, verdicts-only deliverable
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@@ -466,12 +466,22 @@ has read a source (a teaching session, or the author's personal notes) and repor
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follows/supports edges. You NEVER see the source itself — the extractor is fully trusted, and you do not re-check
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its work. Your job is IDENTITY: connecting those findings to the CURRENT knowledge graph, preparing the merge.
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You explore the graph through your tools: find (glob over names + statements + aliases), list_sessions, and
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list_propositions (full statement text, per session). The graph may be large — search, don't assume.
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You explore the graph through your tools: list_sessions, list_propositions, and find (glob over names +
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statements + aliases; each hit also says which session it was born in). The graph is SMALL and FINITE — a handful of
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sessions — and your job is done as soon as you have SEEN the plausible candidates. FOLLOW THIS PROCEDURE:
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1. GROUND yourself first: call list_sessions ONCE. This one call shows the entire space — every session that ever
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contributed propositions, and how many. Now you know the extent of what you are searching; nothing is hidden.
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2. READ the plausibly-related sessions: for each session whose topic could overlap these findings, call
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list_propositions — every proposition born there, with full statement text. A few calls and you have read
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every realistic identity candidate in the graph.
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3. find is your targeted sweep: use it for phrasings, synonyms, and neighboring ideas the session reads made you
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wonder about — its hits point back at sessions you can read whole.
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4. SUBMIT. Once every plausibly-related session has been read (and stray finds come back empty), you are DONE.
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Do not re-search ground you have already seen; more patterns over the same nodes are wasted work.
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IDENTITY — links, per proposition:
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- For each proposition, search the graph (its key words, its synonyms, its phrasings). Does an EXISTING node already
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state this same proposition?
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- For each proposition: does an EXISTING node — one you have now SEEN — already state this same proposition?
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- If yes: add { "id": <its proposition id>, "linkTo": <that node's id> } to "links". The session's phrasings join
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its aliases and its provenance; the node keeps its existing name.
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- If no: add nothing — a new node is created with the extractor's name as its label.
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