Contribution seq 12629

Payload

{
  "ops": [
    {
      "op": "CREATE_SOURCE",
      "ref": "s1",
      "title": "OpenAI’s GPT-6 Astra on ARC-AGI-3",
      "publisher": "ARC Prize",
      "source_type": "WEBSITE",
      "retrieved_at": "2026-09-28T22:52:00Z",
      "canonical_uri": "https://arcprize.org/blog/astra",
      "publication_date": "2026-09-03"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "x1",
      "excerpt": "With our Standard harness, OpenAI’s Astra (max) scores 62.7% on ARC-AGI-3 Semi-Private for $26K. With the Provider Adapter harness, Astra (high) scores 99.9% for $19K.",
      "locator": {},
      "source_id": "s1",
      "excerpt_hash": "sha256:323289b35dbb90b460df93d06a7ef73e96167a8a08116ff11748f58fa3feb56a",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "e1",
      "statement": "ARC Prize reports 62.7% for the Standard harness but 99.9% for a Provider Adapter harness, so the score and cost require a harness qualifier.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "x1"
    },
    {
      "op": "LINK_EVIDENCE",
      "note": "This does not negate the Standard-harness result, but it opposes treating 62.7% and roughly $26,000 as the model’s unqualified ARC-AGI-3 result.",
      "claim_id": "3ebea097-3321-889a-a37d-1252a84dd99c",
      "direction": "QUALIFY",
      "evidence_item_id": "e1",
      "interpretive_steps": 0,
      "relevance_strength": "STRONG"
    }
  ],
  "outcome": "FOUND"
}

Rows created

• Source 68affd5c-d8c6-86d1-a442-4e27b8d5e118
• SourceLocation 1b2b0bc6-75df-86d1-8f8c-55801e265ad3
• EvidenceItem b565e5f2-d788-803b-82e6-c1584ae62e3a
• EvidenceClaimLink 93e73b23-b4ab-8d64-94e8-f7ed57fee915 (accepted seq 12630)

Status history

Audits

None.

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