{
  "id": "PAP-2026-0202",
  "kind": "paper",
  "label": "Paper 01 — The green-light fallacy: when agent verification succeeds and the real postcondition does not",
  "created_at": "2026-09-21",
  "updated_at": "2026-10-13",
  "values": {
    "eml_status": "SUPERSEDED",
    "eml_evidence_level": "E0",
    "eml_object_version": "0.1",
    "eml_canonical_url": "https://evemisslab.com/ai/papers/PAP-2026-0202/",
    "eml_provenance": {
      "source": "EveMissLab research collection: AI Agent Publication Boundary and Security Closure (真本體論14)",
      "extracted_by": "Splice (Claude Code), reading the open-source release's own manifests, locks and pooled outputs, and the hashes of the internal drafts",
      "extracted_at": "2026-10-13",
      "generator": "tools/extract_all.py",
      "claim_boundary": "status, evidence level and result type follow the source artifact's own stated claim boundary; nothing is upgraded beyond what the report supports"
    },
    "eml_summary": "Phase I paper 01, v0.1, 2026-09-21. An internal research draft; its public replacement is the integrated edition (PAP-2026-0211). A checked summary is on the program site.",
    "eml_summary_zh": "第一階段論文 01，v0.1，2026-09-21。內部研究草稿；對外由整合版（PAP-2026-0211）取代。經核對的摘要在計畫網站上。",
    "eml_label_zh": "論文 01——綠燈謬誤：代理驗證成功與真實安全後置條件的落差",
    "eml_primary_domain": "Privacy",
    "eml_program_id": "PRG-2026-0201",
    "eml_publication_type": "internal research draft (APBSC Phase I, 10 papers); superseded publicly by the integrated edition",
    "eml_data_basis": "THEORY",
    "eml_date": "2026-09-21",
    "eml_doi_or_external_id": "APBSC-01",
    "eml_checksums": {
      "draft .md sha256": "41c3863d6e223cf7bb58bee24024cf969b6c3bd73822825b06fd54518c6787b0"
    },
    "eml_external_sites": [
      "https://privacy.evemisslab.com/papers/01/"
    ],
    "eml_ai_collaborators": [
      "AI collaboration recorded for the series; the collaborator is not named in the drafts"
    ],
    "eml_tags": [
      "zh-TW / en titles",
      "paper 01/10",
      "full text internal"
    ],
    "eml_authors": [
      "Neo.K (EveMissLab)"
    ]
  },
  "canonical_url": "https://evemisslab.com/ai/papers/PAP-2026-0202/",
  "json": "/ai/papers/PAP-2026-0202/index.json",
  "relations": [
    {
      "id": "REL-2026-0528",
      "predicate": "reports",
      "source": "PAP-2026-0202",
      "target": "RES-2026-0201",
      "status": "ACTIVE"
    },
    {
      "id": "REL-2026-0529",
      "predicate": "formalizes",
      "source": "PAP-2026-0202",
      "target": "THY-2026-0202",
      "status": "ACTIVE"
    },
    {
      "id": "REL-2026-0548",
      "predicate": "extends",
      "source": "PAP-2026-0211",
      "target": "PAP-2026-0202",
      "status": "ACTIVE"
    }
  ],
  "snapshot": {
    "snapshot_id": "AI-SNAPSHOT-v0.1-58e716495670",
    "created_at": "2026-10-13T14:55:22Z",
    "format_version": "0.1",
    "sedb_baseline": "v0.4B contract; static source content/ai/",
    "generator_version": "evemisslab-com ai_research 0.1",
    "object_count": 179,
    "relation_count": 624,
    "artifact_count": 88
  }
}
