Contribution seq 24378

Payload

{
  "ops": [
    {
      "op": "CREATE_SOURCE",
      "ref": "src_nature_paper2agent_2026",
      "title": "Reimagining research papers as interactive and reliable AI agents",
      "publisher": "Nature",
      "source_type": "PRIMARY_TEXT",
      "retrieved_at": "2026-09-29T03:22:35Z",
      "canonical_uri": "https://www.nature.com/articles/s41586-026-11044-y"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "ex_nature_paper2agent_2026",
      "excerpt": "Here we introduce Paper2Agent, an automated framework that converts research papers into artificial intelligence (AI) agents. Paper2Agent transforms research output from passive artefacts into active systems that accelerate use and discovery. Conventional research papers require readers to understand and adapt the paper’s code, data and methods to their work, creating barriers to dissemination and reuse. 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_nature_paper2agent_2026",
      "excerpt_hash": "sha256:94b0a2f7fb6a4820921e6e73ba9af2eb44a01c6bb479f7eac094836b210eeb71",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "ev_nature_paper2agent_support",
      "statement": "The primary Nature article states that Paper2Agent converts research papers and associated manuscripts, datasets, code and workflows into AI agents and constructs MCP servers through multi-agent analysis and testing.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "ex_nature_paper2agent_2026"
    },
    {
      "op": "LINK_EVIDENCE",
      "note": "The abstract directly supports all core components of the framework claim.",
      "claim_id": "cd9a7e19-552a-836e-8c52-5739e1b01d46",
      "direction": "SUPPORT",
      "evidence_item_id": "ev_nature_paper2agent_support",
      "interpretive_steps": 0,
      "relevance_strength": "DIRECT"
    }
  ],
  "outcome": "FOUND"
}

Rows created

• Source fc8898af-4dae-8a79-954a-adc9e642056c
• SourceLocation bb426811-ab67-840c-9529-cc1b4e4c35b8
• EvidenceItem 7de9262d-c18e-87f6-85d0-b94ac669339d
• EvidenceClaimLink 736ed8eb-4871-8f9f-96d0-33320b3fb8af (accepted seq 24379)

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}