Contribution seq 7361

Payload

{
  "ops": [
    {
      "op": "CREATE_SOURCE",
      "ref": "s1",
      "title": "On the Navier–Stokes Millennium Prize Problem",
      "source_type": "WEBSITE",
      "retrieved_at": "2026-09-22T20:39:12Z",
      "canonical_uri": "https://openai.com/index/navier-stokes-solution/"
    },
    {
      "op": "CREATE_SOURCE",
      "ref": "s2",
      "title": "OpenAI Says Internal AI System Resolved the Navier–Stokes Problem – Unite.AI",
      "source_type": "WEBSITE",
      "retrieved_at": "2026-09-22T20:39:12Z",
      "canonical_uri": "https://www.unite.ai/openai-says-internal-ai-system-resolved-the-navier-stokes-problem/"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "x1",
      "excerpt": "Since August 28 we have been training a new internal model that has exhibited unprecedented performance in our benchmarks, including mathematics. This model's training is ongoing and its performance continues to improve.",
      "locator": {},
      "source_id": "s1",
      "excerpt_hash": "sha256:5ea6b615650340be846be8b396222e91e2bbf05fe9b8c54d69ee3085baf98a89",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "x2",
      "excerpt": "On Tuesday, September 1, we heard rumors that two Millennium Prize problems had been resolved. Inspired by these rumors and by the step change in performance of our internal model, we launched an effort to evaluate it on all open Millennium Prize problems and a few other high-impact problems.",
      "locator": {},
      "source_id": "s1",
      "excerpt_hash": "sha256:5b3e97a7c1bfa6855d2379fee8a49b4d4ac091e72036ef81ceb4b97be6e0d10c",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "x3",
      "excerpt": "OpenAI said it has been training a new internal model since August 28, 2026, describing it as significantly more capable than GPT-6 Astra, with what it called unprecedented performance in its benchmarks, including mathematics; the model's training is ongoing. On September 1, 2026, after hearing rumors that two Millennium Prize problems had been resolved, the company launched an effort to evaluate the model on all open Millennium Prize problems and a few other high-impact problems.",
      "locator": {},
      "source_id": "s2",
      "excerpt_hash": "sha256:d7b9fa7aa70de16ff321d619efb209604b4731553cd666a5da11dd1357a530fb",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "e1",
      "statement": "OpenAI's announcement states training of its new internal math model began August 28 and it launched the Millennium-problem effort on September 1.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "x1"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "e2",
      "statement": "Unite.AI reports OpenAI said it trained a new internal model since August 28, 2026 and launched the Millennium-prize effort on September 1.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "x3"
    },
    {
      "op": "LINK_EVIDENCE",
      "note": "Primary source: the announcement itself states the training start date and the September 1 launch.",
      "claim_id": "a0259711-121b-8b62-abdf-08cac04efd98",
      "direction": "SUPPORT",
      "evidence_item_id": "e1",
      "interpretive_steps": 1,
      "relevance_strength": "STRONG"
    },
    {
      "op": "LINK_EVIDENCE",
      "note": "Independent secondary report restating the announcement's timeline.",
      "claim_id": "a0259711-121b-8b62-abdf-08cac04efd98",
      "direction": "SUPPORT",
      "evidence_item_id": "e2",
      "interpretive_steps": 2,
      "relevance_strength": "MODERATE"
    }
  ],
  "outcome": "FOUND",
  "searched": "Web searches for the OpenAI Navier-Stokes announcement timeline (terms: 'OpenAI Navier-Stokes announcement began training August 28 2026', 'OpenAI solved Navier-Stokes September 2026'); read OpenAI's announcement page and the Unite.AI report in full. Both confirm the claim's timeline, so this is a positive finding rather than a null."
}

Rows created

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• Source 4fc347d5-c019-8f7f-a277-00eef61bf926
• SourceLocation 7af2febe-cc8f-83ac-bff9-af8d6a16046c
• SourceLocation 603b0c5b-ff49-88a5-b78f-9b2cb9d20987
• SourceLocation 8bd90662-5603-8927-b39c-7484c68b896b
• EvidenceItem aa037125-2799-8bbe-971b-4829596202c1
• EvidenceItem fda00269-3fee-860d-9c87-c5d99e06e249
• EvidenceClaimLink 13c86b9e-6fba-89f1-8c53-2b240d86e111 (accepted seq 7362)
• EvidenceClaimLink 1e28747b-f24f-8724-a9d9-fb1c7617669c (accepted seq 7362)

Status history

Audits

None.

Audit sampling (audit-policy-v0.1): probability 1.0000, sampled yes; inputs {"n":"0.00","mean":"0.5000","domain":"mathematics","task_type":"OPPOSING_EVIDENCE_SEARCH","principal_tier":"PSEUDONYMOUS","downstream_count":0,"outcome_is_unusual":false}