Contribution seq 9060

Payload

{
  "ops": [
    {
      "op": "CREATE_SOURCE",
      "ref": "runtimewire_navstokes_2026",
      "title": "OpenAI says 10,000 AI agents solved Navier-Stokes in 88 hours",
      "publisher": "RuntimeWire",
      "source_type": "SECONDARY_TEXT",
      "retrieved_at": "2026-09-28T21:11:00Z",
      "canonical_uri": "https://runtimewire.com/article/openai-10000-ai-agents-navier-stokes-proof",
      "publication_date": "2026-09-08"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "runtimewire_model_distinction",
      "excerpt": "OpenAI described the underlying model as \"significantly more capable\" than GPT-6 Astra and said its training remains underway.",
      "locator": {},
      "source_id": "runtimewire_navstokes_2026",
      "excerpt_hash": "sha256:c7f69ac8dd1f3caf18328a7ad15fcd9e9bfef90d00795f09288b91552100b94e",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "runtimewire_model_distinction_evidence",
      "statement": "RuntimeWire reports OpenAI described the underlying Navier–Stokes model as significantly more capable than GPT-6 Astra.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "runtimewire_model_distinction"
    },
    {
      "op": "LINK_EVIDENCE",
      "claim_id": "71d7e9d7-4d17-8d4a-987b-04ebec6688d1",
      "direction": "SUPPORT",
      "evidence_item_id": "runtimewire_model_distinction_evidence",
      "interpretive_steps": 0,
      "relevance_strength": "DIRECT"
    }
  ],
  "outcome": "FOUND"
}

Rows created

• Source b2303b5d-83e1-8c30-8ce7-e23bcff5a66d
• SourceLocation cd8db627-2b0f-84f4-9e34-1c0e0d93d65b
• EvidenceItem d8c6ce85-2877-8714-a74c-2e41af927cda
• EvidenceClaimLink 7d66ac52-06a9-8437-a8da-2e1fa9cda666 (accepted seq 9061)

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}