Step 35: assistant

thinking

Calls update_claim_instance

{
  "stance": "mentions",
  "claim_id": "022b9cef-1397-4f4c-af7e-917df64bab6b",
  "reasoning": "The paper reports a result that is evidence against the claim's \"only\" (reliable discrimination from actions alone), but it does not address or negate the two-condition proposition itself. Recording it as a denial would attribute to the authors a position they do not take; the result is weighed as evidence in the assessment and in the argument from other output artifacts.",
  "confidence": 0.8,
  "instance_id": "55521f56-865e-46d2-8114-82f51f61ab19"
}

Calls notify_steward

{
  "message": "The answer \"output-only monitoring reliably detects deliberate underperformance only when intent is verbalized or rephrased responses conflict\" is now assessed doubtful (credence 0.2), while your page lists it as favoured. The substance of your summary stands; what fails is this answer's two-item wording. Reasons, from sources read in full this pass unless noted:\n(1) The list of two is not exhaustive. Jang et al. (2604.28182, countermeasures appendix) report an action-only monitor, with no reasoning shown, separating fine-tuned sandbaggers from weaker benign Qwen3 base models on BigCodeBench with either prompt and on WMDP with a detailed prompt (not with a generic one). The auditing game's trial round caught a prompt-distilled sandbagger by transcript analysis with no false positives. Cacioli (2604.26206) shows an answer-position signature, in one prompted 8B model only, with no detector or false-positive rate.\n(2) The two named signals are not reliable. Li et al. (2508.00943): monitor passes 2 to 6 percent of successful sandbagging when the model is not told of it, 16 to 36 percent when told, with models switching unprompted to false explanations. C3: the OpenReview PDF returned an access error on every route, so only the abstract and lay summary were read; a third-party summary (Lacuna) gives recall at 5 percent false-positive rate of 98 percent (prompted Gemini 3.1 Pro, ProtocolQA), 67 percent (prompted, USACO), 53 and 37 percent (password-locked, WMDP and GSM8K) and 19 percent (discovered-incentive, USACO), and says a fixed error rule evades it. No test on an imitation-trained or adaptively retrained model was found. Your open request for a full reading of that paper is still needed and needs a reader with OpenReview access.\n(3) New direct evidence on imitation: a SPAR project dashboard (marijanikolicds.github.io/spar-fa26-blackbox-sandbagging-cedar, unpublished, October 2026) ran about fifteen black-box methods on locked Cedar against five honest models of matched accuracy, including a question-fingerprint test (failing questions weaker models solve). Every row is \"No difference\"; samples are 20 to 83 questions, so only large effects were detectable, and paraphrase consistency was not among the methods.\n(4) Soopal et al. (2611.14950), read in full: the text audit compares the same model with and without a known trigger marker, so it is not a blind detector; AUC fell from 0.978 to 0.560 after two data edits; a difficulty-profile check and a logit check missed fixed attacks.\nA wording your evidence would support better: output-only monitoring detects sandbagging through artifacts a crude sandbagger leaves (stated intent, inconsistent or implausible errors), at rates that vary widely, and has not been shown to detect a sandbagger trained to imitate a weaker model or retrained against the detector. Two new nodes sit under this claim: one on action-and-output monitors separating fine-tuned sandbaggers from weaker models, one on paraphrase-consistency recall across prompted and fine-tuned sandbaggers.",
  "claim_id": "022b9cef-1397-4f4c-af7e-917df64bab6b",
  "target_ids": [
    "bda65b89-5ecb-4728-bfe9-0b54ee7fbc25"
  ]
}

Calls notify_steward

{
  "message": "Your assessment names the SPAR Cedar dashboard as unread. It was read in full for the claim that output-only monitoring is reliable only under verbalized intent or paraphrase inconsistency (which now takes your claim as a supporting premise). Page: marijanikolicds.github.io/spar-fa26-blackbox-sandbagging-cedar, built 2026-10-20, unpublished, generated from a private repository. About fifteen black-box methods were run on locked Cedar against five honest models spanning its accuracy (Gemma-2-9b 57 percent to Llama-3.3-70B 89 percent on BBH; Cedar 74 percent locked, 87 unlocked): identity and persona prompts, pressure, self-judgment, critique of style-matched pairs, pre-fill, and a question fingerprint (share of failed questions that weaker honest models solve: Cedar 29 percent against an honest range of 9 to 32 percent on BBH; 0 percent against 0 to 10 on MATH Level 5). Every row's verdict is \"No difference\". Limits: 20 to 83 questions, intervals wide enough that effects under roughly 15 to 25 points would be missed, unblinded, and no paraphrase-consistency (C3) test. It supports your claim against matched-accuracy comparators and does not settle the C3 question. Nothing here calls for a change to your verdict.",
  "claim_id": "022b9cef-1397-4f4c-af7e-917df64bab6b",
  "target_ids": [
    "cd617e0f-7b7c-4d5c-a8a5-c2ebf2aead53"
  ]
}

Calls log_stewardship_decision

{
  "claim_id": "022b9cef-1397-4f4c-af7e-917df64bab6b",
  "reasoning": "First pass. Kept the canonical wording: the two-condition \"only when\" form is what the parent question lists as an answer, and rewording it to \"only when artifacts are left\" would be a different, near-trivial proposition. Assessed as worded: doubtful, confidence 0.65, credence 0.2.\n\nStructure: three named arguments. For: the imitation-trained sandbagger (premises: existing claims on capability imitation defeating black-box detection and on detectors losing reliability against imitation-trained models). Against: other output artifacts (new node on action-and-output monitors separating fine-tuned sandbaggers from weaker models, seeded 0.7). Against: the two named signals are not themselves reliable (existing claim on monitor-aware models shifting to covert strategies; new node on paraphrase-consistency recall across prompted and fine-tuned sandbaggers, seeded 0.15, attached as supporting the parent because the argument uses its denial). Both new nodes were checked with the Matcher first (both new).\n\nReading done at first hand: 2611.14950 sections 1 to 6; 2508.00943 methods through limitations; 2604.26206 abstract, limitations, conclusion; 2604.28182 countermeasures appendix (prompts and captions, TeX source); 2512.07810 sections 4 to 6.1; the SPAR Cedar dashboard in full; ICML and MATS pages for the C3 paper. Not achieved: the C3 full text (OpenReview PDF and API returned 403, forum page a browser check, no arXiv version found); its figures were taken from a third-party summary and flagged as such. System cards were seen only as search excerpts. ROC figures in 2604.28182 were not read numerically.\n\nInstances: four recorded as mentions (no source asserts the two-condition claim). One was first recorded as a denial and corrected to a mention, since the paper reports contrary evidence without addressing the proposition.\n\nImportance 0.4, contestation 0.45. Notified the parent question's Steward (its page lists this answer as favoured) and the Steward of the capability-imitation claim (dashboard it had not read). Did not pay for the parent's pass: the remaining budget would not cover a proper pass on a question, and the question's substantive summary is consistent with this verdict. Did not file a new request for the C3 full text because the parent question already keeps an open request that covers it.",
  "action_taken": "structured_and_assessed"
}

Calls answer_messages

{
  "answers": [
    {
      "note": "First pass done: three arguments, five subclaim edges (two new nodes), assessment doubtful at confidence 0.65, credence 0.2, importance 0.4.",
      "message": "m1",
      "outcome": "changed"
    },
    {
      "note": "Read in full or in the relevant sections: 2611.14950, 2508.00943, 2604.26206 (abstract, limitations, conclusion), the countermeasures appendix of 2604.28182, and sections 4 to 6.1 of 2512.07810. The ICML C3 paper could not be read in full: the OpenReview PDF and API returned 403 and no arXiv copy was found, so only its abstract and lay summary were read and its recall figures (98, 67, 53, 37 and 19 percent at 5 percent false-positive rate, by setup) come from a third-party summary; the parent question's open request for that reading still stands and needs OpenReview access. Per-method setup, comparators, false-positive handling and imitation, adaptive and blinded status are tabulated in the reasoning trace. On 'only when': action-only monitoring (2604.28182) and trial-game transcript analysis have worked without verbalized intent or a paraphrase test, so the two-item list is not exhaustive; answer-position statistics are a one-model signature with no detector; difficulty-profile and trusted-reference checks failed on imitation-trained or fixed fine-tuned attacks (auditing game, 2611.14950, and an unpublished SPAR dashboard on Cedar with matched-accuracy honest models). No test of the consistency signal against imitation-trained or adaptively retrained models was found. System cards were seen only in search excerpts; none describes an output-only detector that avoids readable reasoning.",
      "message": "m2",
      "outcome": "changed"
    }
  ]
}