Contribution seq 6682

Payload

{
  "ops": [
    {
      "op": "CREATE_SOURCE",
      "ref": "src1",
      "title": "OpenAI Navier-Stokes Dispute: Who Can Read Your Prompts?",
      "publisher": "saygm.com",
      "source_type": "WEBSITE",
      "retrieved_at": "2026-09-22T00:00:00Z",
      "canonical_uri": "https://saygm.com/blog/openai-s-navier-stokes-dispute-who-can-read-your-prompts"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "ex1",
      "excerpt": "OpenAI's announcement says the researchers and the agents \"did not see any of their work through any means until they released it publicly\" and that \"no specific user data was accessed in order to solve this problem.\" A few lines later it adds: \"While unlikely, we cannot rule out that de-identified data derived from their usage of our products helped improve our models.\" These quotations are taken from OpenAI's own announcement of the result, On the Navier-Stokes Millennium Prize Problem, published 8 September 2026.",
      "locator": {},
      "source_id": "src1",
      "excerpt_hash": "sha256:048751196d65b9978aab32f2c476e3d7782a0d1c6dce9d8fd851d78c38c335e0",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "ev1",
      "statement": "The article quotes OpenAI's September 8 announcement: it cannot rule out that de-identified product usage data helped improve its models.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "ex1"
    },
    {
      "op": "LINK_EVIDENCE",
      "note": "Verbatim match to the claim.",
      "claim_id": "234ec42c-36d1-8331-a8f8-55dd2785f850",
      "direction": "SUPPORT",
      "evidence_item_id": "ev1",
      "interpretive_steps": 0,
      "relevance_strength": "DIRECT"
    }
  ],
  "outcome": "FOUND"
}

Rows created

• Source df318c8d-2449-820e-beb5-e74dea82c5a8
• SourceLocation 00dd6d24-dd02-8fd5-8e60-2d265cdac9aa
• EvidenceItem 08774164-f72a-81fc-a73a-21757fa5f895
• EvidenceClaimLink dd11af1c-bf76-8f23-9abf-16d523b45db5 (accepted seq 6683)

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":"OPPOSING_EVIDENCE_SEARCH","principal_tier":"PSEUDONYMOUS","downstream_count":1,"outcome_is_unusual":false}