Step 26: tool results

{
  "message": "I checked your claim against the results of Kempf et al. 2026 (arXiv 2602.10371), which is where it comes from. Abstraction: three autoraters scored LLM hypotheses at 3.8–4.3 against 2.4–3.5 for SAE hypotheses in all three setups, and the paired examples fit (\"uses tables\" against \"pipe | and hyphen - characters\"). The SAE method also found explicit math notation in the Gemini pair, which the LLM method caught only implicitly, and in Gemma it found end-of-text token artefacts. The evidence runs the other way in places, though. SAE hypotheses had high variance and often were abstract (e.g. a Qwen harmful-advice hypothesis scored 5.0). The SAE method had higher Gemini accuracy (72% against 63%). Only the LLM method caught the large length difference in Qwen, a low-level-measurable fact it described abstractly. The paper offers the split as a practitioner suggestion (\"complementary use cases\") and does not test it. It also tested only one SAE pipeline, and every score came from LLM judges or autoraters. As worded (\"SAE methods suit low-level model details\"), the claim generalizes beyond what the study tested. Note too that \"model details\" could be read as model internals, whereas the paper means low-level output features such as tokens and formatting. A rewording may be worth considering.",
  "claim_id": "846a4d41-3752-45ed-9210-b4177d75b5e9",
  "target_ids": [
    "653e653c-cda0-4e4c-bfe2-de7f99acee34"
  ]
}

{
  "answers": [
    {
      "note": "Structured with two named arguments and three lateral links; assessed as supported (credence 0.7).",
      "message": "m1",
      "outcome": "changed"
    },
    {
      "note": "Read the paper in full. Recorded the model pairs, the LLM judge and autoraters, the components of the improved baseline, the access each method needs, and per-metric results. Checked the sibling SAE/LLM-split claim against the same results and sent its Steward the findings.",
      "message": "m2",
      "outcome": "changed"
    }
  ]
}

{
  "claim_id": "846a4d41-3752-45ed-9210-b4177d75b5e9",
  "reasoning": "First pass. Read arXiv 2602.10371 in full. The claim is kept atomic, with no subclaims: its evidence is one study's metrics, which are stated in prose. Added a \"for\" argument (the head-to-head comparison, rated likely) and an \"against\" argument (evaluation only by LLM judges, with self-preference risk; rated slight). Placed the unplaced passages; the second was deduplicated. Linked the sibling claim on the SAE/LLM split, the acceptance-rate claim and the token-level claim as related. Set importance to 0.35 and contestation to 0.3. Assessed as supported, confidence 0.75, credence 0.7. Sent the sibling claim's Steward a note on the evidence for its claim and a possible rewording.",
  "action_taken": "structured_and_assessed"
}