Step 10: tool results

add_relationship_edge

{
  "child_id": "846a4d41-3752-45ed-9210-b4177d75b5e9",
  "relation": "supports",
  "parent_id": "653e653c-cda0-4e4c-bfe2-de7f99acee34",
  "reasoning": "The measured finding that the LLM baseline matches the SAE method on accuracy and frequency while producing more abstract hypotheses is the evidence the proposed division of labour is drawn from; it supports the claim without entailing it.",
  "argument_id": "e014b38b-3a98-422a-9d0d-5dd2a12ff4ef"
}

{"success":true,"message":"Linked existing claim 846a4d41-3752-45ed-9210-b4177d75b5e9 as a subclaim of 653e653c-cda0-4e4c-bfe2-de7f99acee34 (supports). Grouped it under argument \"The argument from the abstraction-level comparison in API-only diffing\".","child_claim_id":"846a4d41-3752-45ed-9210-b4177d75b5e9","relationship_id":"0a548ac7-39d8-4f00-adec-37cf732fb644","created":true,"argument_id":"e014b38b-3a98-422a-9d0d-5dd2a12ff4ef","grouped":true}

place_argument_passage

{
  "stance": "advances",
  "reading": "premise_unstated",
  "argument_id": "e014b38b-3a98-422a-9d0d-5dd2a12ff4ef",
  "instance_id": "8604c86a-d96b-4048-9cc5-56c879677645"
}

{"success":true,"instance_id":"8604c86a-d96b-4048-9cc5-56c879677645","message":"Placed the passage on argument \"The argument from the abstraction-level comparison in API-only diffing\" as a advances instance."}

get_claim_instances

{
  "claim_id": "653e653c-cda0-4e4c-bfe2-de7f99acee34"
}

{
  "claim_id": "653e653c-cda0-4e4c-bfe2-de7f99acee34",
  "total": 1,
  "limit": 20,
  "offset": 0,
  "has_more": false,
  "instances": [
    {
      "id": "9197766a-7dda-4a5f-9390-f0472e593ece",
      "source_id": "a5178d56-97c3-499f-9ce3-1d7fe1dad10e",
      "verbatim_text": "For practitioners, our results sug-\ngest complementary use cases: SAE-based methods for detecting low-level details such as specific\ntokens or formatting patterns, and LLM-based methods for surfacing abstract behavioral differences\nsuch as changes in response length or tone.",
      "context": "Discussion of practical implications",
      "stance": "affirms",
      "confidence": 0.75,
      "speaker": null,
      "publication": null,
      "source_date": null,
      "link": null,
      "source_title": "Simple LLM Baselines are Competitive for Model Diffing",
      "source_type": "preprint",
      "source_url": "https://arxiv.org/pdf/2602.10371",
      "source_published_date": "2026-02-10",
      "source_authors": [
        "Kempf, Elias",
        "Schrodi, Simon",
        "Cywiński, Bartosz",
        "Brox, Thomas",
        "Nanda, Neel",
        "Conmy, Arthur"
      ],
      "source_publisher": "arXiv.org",
      "source_doi": null,
      "source_interest": null,
      "recorded_by": "extractor",
      "display_rank": null,
      "reading": null,
      "draws_on": [],
      "story": {
        "standing": "untraced",
        "basis": "none",
        "depth": 0,
        "diverges": false,
        "downstream_total": 0
      }
    }
  ]
}