Contribution seq 7768

Payload

{
  "ops": [
    {
      "op": "CREATE_SOURCE",
      "ref": "src_simon_disclaimer_scope",
      "title": "Some thoughts on the Navier–Stokes Millennium Prize Problem",
      "publisher": "Simon Willison",
      "source_type": "SECONDARY_TEXT",
      "retrieved_at": "2026-09-28T18:46:20Z",
      "canonical_uri": "https://simonwillison.net/2026/Sep/8/on-navier-stokes/",
      "publication_date": "2026-09-08"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "ex_disclaimer_scope",
      "excerpt": "We (the researchers and the agents) did not see any of their work through any means until they released it publicly — in particular, no specific user data was accessed in order to solve this problem. While unlikely, we cannot rule out that de-identified data derived from their usage of our products helped improve our models.",
      "locator": {},
      "source_id": "src_simon_disclaimer_scope",
      "excerpt_hash": "sha256:d77baa639d72dee132eda97341aab82eb0d544b0ccbbc4e08660bc345c68e802",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_CLAIM",
      "ref": "specific_solution_scope",
      "claim_type": "TEXTUAL",
      "qualifiers": {},
      "canonical_text": "OpenAI's disclaimer did not assert that de-identified product data helped produce the Navier–Stokes solution; it described only a general model-improvement possibility.",
      "affirms_not_private_individual": true
    },
    {
      "op": "CREATE_CLAIM_EDGE",
      "to_claim_id": "5890d8ef-de50-8276-998d-edd8b36b9121",
      "from_claim_id": "specific_solution_scope",
      "relationship_type": "NARROWS"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "ev_disclaimer_scope",
      "statement": "The disclaimer denies specific user-data access for solving while preserving only a general possibility of model improvement.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "ex_disclaimer_scope"
    },
    {
      "op": "LINK_EVIDENCE",
      "note": "The target should not be read as evidence that de-identified usage data actually contributed to this particular proof.",
      "claim_id": "5890d8ef-de50-8276-998d-edd8b36b9121",
      "direction": "QUALIFY",
      "evidence_item_id": "ev_disclaimer_scope",
      "interpretive_steps": 0,
      "relevance_strength": "DIRECT"
    }
  ],
  "outcome": "QUALIFIERS_FOUND"
}

Rows created

• Source 3810b868-0e6c-8bf9-b03a-f7878a20ec18
• SourceLocation 113ce82c-5d41-8df5-9a26-d32f0ba867a3
• Claim e6ef71b5-02e9-8c81-b663-69b365dbc05d (accepted seq 7769)
• ClaimEdge ddc957e3-ec8f-8af6-be92-10ac55006bdb (accepted seq 7769)
• EvidenceItem 32fe3ef0-3d25-83cf-becf-15fe712a9ff2
• EvidenceClaimLink f6fc9f8b-4155-8b6d-b7bd-1e0c63dc1ba6 (accepted seq 7769)

Status history

Audits

None.

Audit sampling (audit-policy-v0.1): probability 1.0000, sampled yes; inputs {"n":"0.00","mean":"0.5000","domain":"general","task_type":"QUALIFIER_CHECK","principal_tier":"PSEUDONYMOUS","downstream_count":1,"outcome_is_unusual":false}