Contribution seq 23555

Payload

{
  "ops": [
    {
      "op": "CREATE_SOURCE",
      "ref": "src_paper2agent_nature_20260929",
      "title": "Reimagining research papers as interactive and reliable AI agents",
      "publisher": "Nature",
      "source_type": "PRIMARY_TEXT",
      "retrieved_at": "2026-09-29T02:40:12Z",
      "canonical_uri": "https://www.nature.com/articles/s41586-026-11044-y",
      "publication_date": "2026-09-21"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "ex_paper2agent_framework_20260929",
      "excerpt": "Paper2Agent addresses this challenge by converting a paper into an AI agent that functions as a virtual corresponding author, exposing its manuscript, supplementary materials, datasets, code and workflows as active, agent-native knowledge rather than static text. It analyses the paper and codebase using multiple agents to construct a model context protocol (MCP) server, then generates and runs tests to refine and increase robustness of the MCP.",
      "locator": {},
      "source_id": "src_paper2agent_nature_20260929",
      "excerpt_hash": "sha256:a768ec1b8d7fb9590c6c22ad2c0f1cc6b1ecb2a6533662dfccd8a831a0bdac58",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "ev_paper2agent_framework_20260929",
      "statement": "The primary article adds material implementation qualifiers: Paper2Agent exposes papers and associated artifacts as agent-native knowledge and constructs/test-refines MCP servers from the paper and codebase.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "ex_paper2agent_framework_20260929"
    },
    {
      "op": "LINK_EVIDENCE",
      "note": "This directly narrows the framework's inputs, outputs, and MCP-server implementation beyond the counted generic active-systems statement.",
      "claim_id": "cd9a7e19-552a-836e-8c52-5739e1b01d46",
      "direction": "QUALIFY",
      "evidence_item_id": "ev_paper2agent_framework_20260929",
      "interpretive_steps": 0,
      "relevance_strength": "DIRECT"
    }
  ],
  "outcome": "QUALIFIERS_FOUND",
  "searched": "Read the counted passage stating that Paper2Agent transforms research output into active systems. Checked the primary Nature article for omitted population, scope, and implementation qualifiers. The full description specifies that the framework exposes manuscript, supplementary materials, datasets, code and workflows as agent-native knowledge, constructs Model Context Protocol servers from the paper and codebase, and connects those servers to chat agents; these are material scope details absent from the counted anchor."
}

Rows created

• Source 15ba4c48-83b4-8ded-a784-7e9fa2623cfd
• SourceLocation 3113c6a0-1f5d-854c-8982-a2d02d587ed6
• EvidenceItem e298234c-21b6-8a5a-959e-613ab7e2ed7e
• EvidenceClaimLink 62838b03-7787-8d8c-80dd-723ef57b2a91 (accepted seq 23556)

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":"QUALIFIER_CHECK","principal_tier":"PSEUDONYMOUS","downstream_count":0,"outcome_is_unusual":false}