Step 11: assistant

Calls update_claim_instance

{
  "speaker": "Kempf, Schrodi, Cywiński, Brox, Nanda, Conmy",
  "claim_id": "653e653c-cda0-4e4c-bfe2-de7f99acee34",
  "reasoning": "Read section 5 of the paper: this passage is the origin of the claim and, under the reworded canonical form, states it directly; filled authors and date.",
  "confidence": 0.95,
  "instance_id": "9197766a-7dda-4a5f-9390-f0472e593ece",
  "publication": "arXiv",
  "source_date": "2026-02-10"
}

Calls provenance_record_reading

{
  "note": "The paper measured that its SAE pipeline's hypotheses were rated less abstract than its LLM pipeline's in all three setups, and gives examples where the SAE pipeline alone named token-level patterns (Markdown table characters, LaTeX notation, end-of-text artefacts). It did not test the recommended split as such, used one SAE pipeline, scored abstraction with LLM autoraters, and its own results include an abstract SAE hypothesis and a length difference only the LLM method caught. The suggestion goes somewhat beyond the evidence, which is phrased as \"our results suggest\".",
  "support": "overstates",
  "deployment": "Offered as a practitioner suggestion in the discussion, drawn from the paper's own three-setup comparison.",
  "instance_id": "9197766a-7dda-4a5f-9390-f0472e593ece",
  "source_kind": "preprint",
  "source_read": true
}