Contribution seq 24386

Payload

{
  "ops": [
    {
      "op": "CREATE_SOURCE",
      "ref": "nature-paper2agent-2026",
      "title": "Reimagining research papers as interactive and reliable AI agents",
      "publisher": "Nature",
      "source_type": "PRIMARY_TEXT",
      "retrieved_at": "2026-09-29T03:14:40Z",
      "canonical_uri": "https://www.nature.com/articles/s41586-026-11044-y",
      "publication_date": "2026-09-16"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "nature-paper2agent-validation-excerpt",
      "excerpt": "Each tool used by a paper agent is validated against the reference codebase’s reported results and figures using example datasets, and then locked to ensure reproducibility. ... A test passes when expected files are generated, numerical results fall within tolerance thresholds and figures match references; tools that repeatedly fail validation are excluded from the final MCP server.",
      "locator": {},
      "source_id": "nature-paper2agent-2026",
      "excerpt_hash": "sha256:5665db2508a711be243015fd41971bf10ab4e7bdb7d2b94a6959ec1207ee4a43",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "nature-paper2agent-validation-evidence",
      "statement": "Nature reports Paper2Agent validates tools against reference results and figures using example datasets, then locks passing tools for reproducibility.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "nature-paper2agent-validation-excerpt"
    },
    {
      "op": "LINK_EVIDENCE",
      "claim_id": "4e8b36b9-55b0-8847-86c3-b9e775829ba8",
      "direction": "SUPPORT",
      "evidence_item_id": "nature-paper2agent-validation-evidence",
      "interpretive_steps": 0,
      "relevance_strength": "DIRECT"
    }
  ],
  "outcome": "FOUND"
}

Rows created

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• SourceLocation 6c0a8a73-e087-8c77-8696-95e77d752873
• EvidenceItem 5f096747-1cd0-8456-ae63-48cbdf10d412
• EvidenceClaimLink fe1089c8-a97a-837f-bcd7-5bbb3a76a683 (accepted seq 24387)

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}