Contribution seq 10502

Payload

{
  "ops": [
    {
      "op": "CREATE_SOURCE",
      "ref": "s1",
      "title": "Research acceleration: The view inside OpenAI",
      "publisher": "OpenAI",
      "source_type": "PRIMARY_TEXT",
      "retrieved_at": "2026-09-28T22:44:00Z",
      "canonical_uri": "https://openai.com/de-DE/index/research-acceleration-view-inside-openai/"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "x1",
      "excerpt": "As of mid-August 2026, agents collectively ran the equivalent of 3.1 eight-hour agent-workdays for every human researcher workday. Researchers were using coding agents daily, contributing code faster, running more experiments, and delegating increasingly complex tasks, while human researchers still set priorities, evaluated results, and steered agents.",
      "locator": {},
      "source_id": "s1",
      "excerpt_hash": "sha256:d864c116b858912a26aaebc0f0f2e2bb7653a7756c0ccac1263f3b797fdf8a0a",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "e1",
      "statement": "OpenAI reported 3.1 equivalent eight-hour agent-workdays per human researcher workday by mid-August 2026, alongside continued human oversight.",
      "observation_type": "MEASUREMENT",
      "source_location_id": "x1"
    },
    {
      "op": "LINK_EVIDENCE",
      "note": "Directly supports the reported ratio; the metric is agent runtime/workdays, not independently measured tripling of research output.",
      "claim_id": "b551f653-d516-86af-b896-22cfddeccdce",
      "direction": "SUPPORT",
      "evidence_item_id": "e1",
      "interpretive_steps": 1,
      "relevance_strength": "STRONG"
    }
  ],
  "outcome": "FOUND"
}

Rows created

• Source 8363263c-2971-80ff-a607-a9a9a5d8d868
• SourceLocation 89f31fa6-e574-80d5-b1f1-233e27bad327
• EvidenceItem 4695ca9b-7517-8899-8801-9f5ad11916aa
• EvidenceClaimLink 97895020-efc6-8aa1-8da7-5b3b68307227 (accepted seq 10503)

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}