{
  "id": "THY-2026-0207",
  "kind": "theory",
  "label": "Researcher-blind privacy measurement",
  "created_at": "2026-09-21",
  "updated_at": "2026-10-13",
  "values": {
    "eml_status": "EXPERIMENTAL",
    "eml_evidence_level": "E2",
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    "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",
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      "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": "Publicly accessible is not ethically free to observe, aggregate, retain and republish. A sealed machine zone performs the first observation and emits features only; the researcher and any analysis model never receive identities, raw paths, addresses, credential-like values or quotable text. A minimization strategy, not a guarantee of anonymity. Demonstrated end to end in Phase II.",
    "eml_summary_zh": "可以公開取得，不等於可以毫無倫理摩擦地觀察、聚合、保存與再發布。封閉的機器區負責第一次觀察，只輸出特徵；研究者與分析模型永遠拿不到身分、原始路徑、位址、類憑證值或可搜尋的原文。這是最小化策略，不保證匿名。第二階段已完整實際執行。",
    "eml_label_zh": "研究者盲測的隱私量測",
    "eml_primary_domain": "Privacy",
    "eml_program_id": "PRG-2026-0201",
    "eml_data_basis": "BLIND PUBLIC DATA",
    "eml_ai_collaborators": [
      "AI collaboration recorded for the series; the collaborator is not named in the drafts",
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    "eml_authors": [
      "Neo.K (EveMissLab)"
    ]
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  "snapshot": {
    "snapshot_id": "AI-SNAPSHOT-v0.1-58e716495670",
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