{
  "format": "agent-article-v0",
  "article_id": "EA-117",
  "canonical_url": "/tools/ea-117-deep-research-ai-research-provenance",
  "page_type": "reference",
  "claim_ids": [],
  "evidence_ids": [
    "EVD-EA-117-URL-6E48BCC4A04D",
    "EA-117-R11-RESEARCH",
    "EA-117-R11-WEB-READBACK"
  ],
  "unknown_ids": [
    "EA-117-UNKNOWN-01",
    "EA-117-UNKNOWN-CURRENTNESS"
  ],
  "operational_object_ids": [],
  "provider": [],
  "models": [],
  "plans": [],
  "surfaces": [],
  "regions": [],
  "current_status": "UNKNOWN",
  "observation_status": "SPEC_ONLY",
  "freshness": "UNKNOWN",
  "last_verified": null,
  "supersedes": [],
  "superseded_by": [],
  "provenance": [
    "COMM-040-EA0117",
    "SRC-EA-117-URL-6E48BCC4A04D",
    "WEBBODY-EA0117-R8-6A3038DD"
  ],
  "article_sources": [
    {
      "id": "EVD-EA-117-URL-6E48BCC4A04D",
      "evidence_class": "RESEARCH",
      "title": "source class: W3C Recommendation / provenance ontology; exact title: PROV-O: The PROV Ontology; author/org: World Wide Web Consortium (W3C); canonical URL:",
      "href": "https://www.w3.org/TR/prov-o/",
      "supports": [],
      "limit": "元の監査済み資料に記載された参照先です。URLの復元は、資料の最新性や全主張の支持を新たに検証したことを意味しません。",
      "origin_class": "SOURCE_PACKET_REFERENCE",
      "source_or_experiment_ids": [
        "SRC-EA-117-URL-6E48BCC4A04D"
      ],
      "supporting_locators": [
        "EVIDENCE TABLE",
        "- source class: W3C Recommendation / provenance ontology; exact title: PROV-O: The PROV Ontology; author/org: World Wide Web Consortium (W3C); canonical URL: https://www.w3.org/TR/prov-o/"
      ],
      "scope": "EVIDENCE TABLE",
      "provenance_status": "SOURCE_PACKET_REFERENCE_PROJECTED"
    },
    {
      "id": "EA-117-R11-RESEARCH",
      "evidence_class": "RESEARCH",
      "title": "EA-117 監査済みresearch / canonical revision binding",
      "supports": [
        "PROV-Oは、research source/documentをEntity、search/read/composeをActivity、researcher/model/serviceをAgentとして、used、generated、association、communication、timeを表す語彙を提供する。これによりsource snapshot、query、retrieval event、claim draft、review、final artifactを来歴グラフにする設計は仕様に基づく。一方、PROV-Oはsourceの真偽、著者の信頼性、引用がclaimをsupportするか、一次資料へ到達したか、AI summaryの正確さを判定するscorerではない。"
      ],
      "limit": "canonical監査・revision bindingの存在を示す。外部ソースcurrentnessが本文またはcontrol-planeで確定していない場合は、currentnessをUNKNOWNのまま保持する。",
      "origin_class": "AUDITED_CANONICAL_RESEARCH_PACKET",
      "source_or_experiment_ids": [
        "COMM-040-EA0117"
      ],
      "supporting_locators": [
        "COMM-040-EA0117",
        "EA-117-R5-LEGACY-MIGRATION-20261008-R1",
        "content/staging/EA-117.md"
      ],
      "scope": "監査済みEA本文・canonical revision・既存Source Graph relationの範囲。欠損currentnessは推測で閉じない。",
      "provenance_status": "AUDIT_PASS_CANONICAL_BINDING"
    },
    {
      "id": "EA-117-R11-WEB-READBACK",
      "evidence_class": "IMPL",
      "title": "EA-117 Web body identity / canonical readback",
      "supports": [
        "canonical staging bodyのSHA-256一致とR9 canonical ledger readbackをProduction projectionの入力として検証する。"
      ],
      "limit": "body identity/readbackは本文claim自体の真偽や外部ソースの最新性を追加保証しない。",
      "checked_at": null,
      "origin_class": "IMPLEMENTATION_READBACK",
      "source_or_experiment_ids": [
        "WEBBODY-EA0117-R8-6A3038DD"
      ],
      "supporting_locators": [
        "WEBBODY-EA0117-R8-6A3038DD",
        "content/staging/EA-117.md",
        "EA-117-R5-LEGACY-MIGRATION-20261008-R1"
      ],
      "scope": "R9/R10 canonical readback後のProduction生成時body identity。",
      "provenance_status": "CANONICAL_READBACK_BODY_HASH_MATCH"
    }
  ],
  "research_sections": [
    {
      "heading": "WHY_THIS_MATTERS_TO_UPDATE",
      "text": "deep researchの価値は回答の流暢さではなく、問い・検索・候補・原典・引用・生成物・人間修正の来歴を追えることにある。引用があるだけで一次資料到達や主張の真偽を保証しない。"
    },
    {
      "heading": "SCOPE_ROUTING",
      "text": "research / provenance / interoperability / governance / audit"
    },
    {
      "heading": "CLAIM_OR_RESEARCH_QUESTION",
      "text": "W3C PROV-Oでresearch activity、used source、generated artifact、agent/roleを表現できるか。そのontologyはsource truth、citation correctness、primary-source reachまで保証するか。"
    },
    {
      "heading": "EVIDENCE TABLE",
      "text": "- source class: W3C Recommendation / provenance ontology; exact title: PROV-O: The PROV Ontology; author/org: World Wide Web Consortium (W3C); canonical URL: https://www.w3.org/TR/prov-o/; publication/update/access: W3C Recommendation 2013-04-30 / accessed 2026-09-13 JST; version/release/tag/commit/API revision/model ID: PROV-O Recommendation; supporting locator: §3 property definitions lines 1009-1053（ActivityがEntityをused）、lines 1054-1093（activity間communication）、§3 time/association and generation properties; evidence label: VERIFIED_SPEC; relation: support / limit.\n- source class: W3C Recommendation / provenance ontology; exact title: PROV-O: The PROV Ontology; author/org: W3C; canonical URL: https://www.w3.org/TR/prov-o/; publication/update/access: 2013-04-30 / accessed 2026-09-13 JST; version/release/tag/commit/API revision/model ID: PROV-O Recommendation; supporting locator: ontology classes/properties for Entity, Activity, Agent, wasGeneratedBy, wasAssociatedWith, wasInformedBy; supporting locator: §3; evidence label: VERIFIED_SPEC; relation: support / limit."
    },
    {
      "heading": "FINDINGS",
      "text": "PROV-Oは、research source/documentをEntity、search/read/composeをActivity、researcher/model/serviceをAgentとして、used、generated、association、communication、timeを表す語彙を提供する。これによりsource snapshot、query、retrieval event、claim draft、review、final artifactを来歴グラフにする設計は仕様に基づく。一方、PROV-Oはsourceの真偽、著者の信頼性、引用がclaimをsupportするか、一次資料へ到達したか、AI summaryの正確さを判定するscorerではない。"
    },
    {
      "heading": "LIMITS / COUNTEREVIDENCE / FAILURE ENVELOPE",
      "text": "provenance completeでも入力sourceが誤り・古い・撤回済みなら結論は誤る。検索ranking、paywall、robots/auth制限、dynamic page、snippetのみ、引用範囲の取り違え、source substitution、human edit欠落がfailure envelope。PROV-Oの表現可能性を実装済みtraceの存在と混同しない。"
    },
    {
      "heading": "AVAILABILITY_GATES",
      "text": "W3C specは無認証公開。実装側はURL、content hash、retrieval time、version/commit、locator、language、access state、claim relationを保存できるstoreが必要。認証済み検索・有料DB・private corpusは未接続。"
    },
    {
      "heading": "IMPLEMENTATION_STATE",
      "text": "provenance graph schemaとclaim-evidence matrixを設計する段階。各claimにsupport/counter/limit/context relation、source origin、human review、retrieval eventを結び付ける。実装・再現検索試験未実施。"
    },
    {
      "heading": "BENCHMARK_OR_EVAL",
      "text": "synthetic research tasksでsource recall、primary-source reach、citation entailment、locator accuracy、counterevidence recall、staleness detection、claim-to-source graph completenessを別scoreにし、流暢さscoreを採用判定に使わない。"
    },
    {
      "heading": "SECURITY / PRIVACY / AUDIT / COST / OPERABILITY",
      "text": "SECURITY/PRIVACY: query・source・user dataの機密性とretentionを分離。AUDIT: immutable run ID、source hash、access date、claim version、reviewer、redaction。COST: search/page fetch、rerank、judge、human review。OPERABILITY: source unavailable/changed時はUNKNOWN保持と再採集queueへ送る。"
    },
    {
      "heading": "SAFE_WORDING_FOR_FUTURE_BOOK",
      "text": "「W3C PROV-OはEntity・Activity・Agentとused/generated/association等で調査来歴を表す標準語彙である。来歴は検証可能性を高めるが、引用の正しさ、一次資料性、sourceの真偽、研究結論の正確さそのものを保証しない。」"
    },
    {
      "heading": "UPDATE_WORK_HANDOFF",
      "text": "本文改訂では回答本文に引用を足すだけでなく、claim ID、source class、canonical URL、locator、retrieval/access、version/hash、support/counter/limit、human reviewを裏台帳へ保存する。providerのdeep-research product traceは別PRODUCT_VOLATILE採集する。"
    },
    {
      "heading": "OPEN_UNKNOWN",
      "text": "providerごとの検索ログ・候補集合・query保存・source snapshot・citation verifier・human review trace、一次資料到達率、撤回/更新検知、PROV-O export実装。"
    },
    {
      "heading": "STOP_CONDITION",
      "text": "URL列挙、検索snippet、AI自身の説明をsource evidenceとしない。provenance graphの存在をclaim truthとみなさない。\nUNIT_CLOSE_STATUS: INDIVIDUAL_BOUNDED_CLOSE / EVIDENCE_RECORDED / UNKNOWN_PRESERVED\n\n---"
    }
  ],
  "human_url": "/tools/ea-117-deep-research-ai-research-provenance",
  "markdown_url": "/agent/article.md?path=%2Ftools%2Fea-117-deep-research-ai-research-provenance",
  "json_url": "/agent/article.json?path=%2Ftools%2Fea-117-deep-research-ai-research-provenance"
}