Step 18: tool results

match_claim

{
  "text": "Correct answers to real-world AI oversight questions are typically supported by many independent pieces of evidence.",
  "exclude_claim_id": "ae6522c7-b164-4787-99a9-9ab318f858af"
}

{"outcome":"new","is_match":false,"matched_claim_id":null,"instance_stance":"affirms","new_canonical_form":"Correct answers to real-world AI oversight questions are typically supported by many independent pieces of evidence.","direction_note":"This affirmative form states the empirical thesis that many independent evidence sources typically support correct answers to real-world AI oversight questions.","confidence":0.88,"reasoning":"I searched the proposed wording, paraphrases focused on independent or redundant evidence in AI oversight, and the negation. No existing node states this proposition. The closest candidate is “The assumptions behind recursive AI debate's honesty guarantees hold for real-world oversight tasks” (4f3def2b-90f9-4f6e-9255-f4dd88eb61b5). That broader conjunction includes whether stability conditions hold in real tasks, but also concerns judge accuracy, training, and deployment assumptions. This proposed claim isolates an empirical premise about what typically supports correct answers; it is not equivalent to the broader conjunction, and evidence for one does not establish all its other assumptions. The theorem claim about prover-estimator debate under stability assumptions (a4225e85-09ed-4f2b-8cf2-23998858b16c) concerns a formal guarantee, not whether real-world questions have this evidence structure. Other near-misses concern independent safety arguments jointly affecting confidence (b90de133-9df0-4843-8bb1-adfaae5a784d) or particular data sources' evidential value (6aa6d158-30d3-479c-94fe-df78c9acb388), which likewise turn on different considerations. The source asserts the new proposition rather than leaving it open.","alternative_matches":["4f3def2b-90f9-4f6e-9255-f4dd88eb61b5","a4225e85-09ed-4f2b-8cf2-23998858b16c","b90de133-9df0-4843-8bb1-adfaae5a784d","6aa6d158-30d3-479c-94fe-df78c9acb388"],"relationship_notes":"The first alternative is a broader conjunction whose stability component may be supported by this proposition; it is not identical. The theorem candidate is conditional and formal, while this is an empirical claim about typical real-world questions. The safety-argument and data-source candidates concern related but distinct propositions."}

match_claim

{
  "text": "Many real-world AI oversight questions have correct answers that can be justified only by arguments in which every one of many steps is necessary.",
  "exclude_claim_id": "ae6522c7-b164-4787-99a9-9ab318f858af"
}

{"outcome":"new","is_match":false,"matched_claim_id":null,"instance_stance":"affirms","new_canonical_form":"Many real-world AI oversight questions require long, nonredundant reasoning chains to justify their correct answers.","direction_note":"The source asserts the presence of many such questions, so the canonical form states that affirmative thesis rather than its negation.","confidence":0.84,"reasoning":"I searched the wording, paraphrases, and negations. The closest node is “Arguments on real-world AI oversight questions admit decompositions stable enough for recursive debate's efficiency guarantees to apply” (ae6522c7-b164-4787-99a9-9ab318f858af). That node concerns whether oversight arguments can be decomposed with sufficient stability for debate guarantees. The source instead asserts that many questions have answers whose justifications necessarily contain long, nonredundant chains. This bears directly on the stability question, but is not its exact denial: some questions could have such fragile chains while other questions admit stable decompositions, and evidence about the prevalence of nonredundant chains need not bear equally on every interpretation of whether arguments admit stable decompositions. The parent claim about whether debate's assumptions hold across real-world tasks (4f3def2b-90f9-4f6e-9255-f4dd88eb61b5) is broader, and the claim about obfuscated arguments relative to training computation (30b4f79d-4286-43ff-a6a9-be91d82c3692) concerns a different limitation. I therefore judge this to be a distinct, reusable empirical proposition rather than forcing a match or treating a partial contrary as a denial.","alternative_matches":["4f3def2b-90f9-4f6e-9255-f4dd88eb61b5","30b4f79d-4286-43ff-a6a9-be91d82c3692"],"relationship_notes":"The closest node, on stability of decompositions for real-world AI oversight, is a closely related crux and is partly in tension with this claim, but the propositions can both be true for different tasks. The broader recursive-debate assumptions claim generalizes the topic; the obfuscated-arguments claim addresses computational limits rather than prevalence of necessary reasoning steps."}

add_argument

{
  "name": "The argument from redundant independent evidence",
  "stance": "for",
  "claim_id": "ae6522c7-b164-4787-99a9-9ab318f858af",
  "description": "Stable decompositions provably exist where the truth is backed by many independent pieces of evidence, and sound conclusions resting on fuzzy human judgment are said to have that kind of backing."
}

{"success":true,"message":"Created argument \"The argument from redundant independent evidence\" (for) on claim ae6522c7-b164-4787-99a9-9ab318f858af. Attach its subclaim edges, then give it a written form with write_argument, and evaluate it with evaluate_argument when you record the claim's assessment.","argument_id":"40c16541-5a20-414a-91cf-dc46fdf3c2f4"}

add_argument

{
  "name": "The argument from conclusions in which every step is necessary",
  "stance": "against",
  "claim_id": "ae6522c7-b164-4787-99a9-9ab318f858af",
  "description": "A conclusion that fails if any one of its parts fails is maximally sensitive, and many oversight conclusions (no flaw anywhere in this code, this proof, this analysis) have that form."
}

{"success":true,"message":"Created argument \"The argument from conclusions in which every step is necessary\" (against) on claim ae6522c7-b164-4787-99a9-9ab318f858af. Attach its subclaim edges, then give it a written form with write_argument, and evaluate it with evaluate_argument when you record the claim's assessment.","argument_id":"71f706bf-7b56-4bba-9cd2-213645255a9c"}

add_argument

{
  "name": "The argument from instability in the human debate experiments",
  "stance": "against",
  "claim_id": "ae6522c7-b164-4787-99a9-9ab318f858af",
  "description": "The only debate experiments in which decomposition stability came up, the 2020 human experiments that identified obfuscated arguments, ran into honest arguments that were not stable."
}

{"success":true,"message":"Created argument \"The argument from instability in the human debate experiments\" (against) on claim ae6522c7-b164-4787-99a9-9ab318f858af. Attach its subclaim edges, then give it a written form with write_argument, and evaluate it with evaluate_argument when you record the claim's assessment.","argument_id":"527a474a-4c8e-4907-b6db-d2d8845c8c89"}