{
  "id": "PAP-2026-0010",
  "kind": "paper",
  "label": "Paper 10 — Bayes within Bayes: who authorizes the update rule?",
  "created_at": "2026-09-08",
  "updated_at": "2026-09-08",
  "values": {
    "eml_status": "STABLE",
    "eml_evidence_level": "E0",
    "eml_object_version": "0.1",
    "eml_canonical_url": "https://evemisslab.com/ai/papers/PAP-2026-0010/",
    "eml_provenance": {
      "source": "EveMissLab research collection: Adaptive Epistemic Systems (真本體論13)",
      "extracted_by": "Splice (Claude Code), reading the canonical UTF-8 sources and each lab's own result reports",
      "extracted_at": "2026-09-11",
      "generator": "tools/extract_aes/extract.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": "Prior, likelihood and hypothesis space need an authorization Bayes' rule cannot give; meta-epistemic configuration becomes part of the architecture.",
    "eml_summary_zh": "Prior、likelihood 與假設空間需要一個 Bayes 公式給不出的授權；meta-epistemic configuration 成為架構的一部分。",
    "eml_label_zh": "貝葉斯中的貝葉斯——誰授權更新規則？從 Prior、Likelihood 到 Meta-Epistemology 的遞歸問題",
    "eml_primary_domain": "Formal AI",
    "eml_program_id": "PRG-2026-0001",
    "eml_publication_type": "series paper (Adaptive Epistemic Systems Series, 11 papers)",
    "eml_data_basis": "THEORY",
    "eml_authors": [
      "Neo.K (EveMissLab)"
    ],
    "eml_date": "2026-09-08",
    "eml_source_artifact": "Adaptive_Epistemic_Systems_Series_Paper_10_Bayes_Within_Bayes_Meta_Epistemic_Justification_v0.1.md",
    "eml_checksums": {
      "sha256": "b1d66639204c40e843791aa06f87b7d5a796d9476ffa2adc25f80cf954dd987c"
    },
    "eml_tags": [
      "zh-TW",
      "canonical UTF-8 Markdown",
      "paper 10/11"
    ],
    "eml_ai_collaborators": [
      "Sol (GPT-5.6, OpenAI ChatGPT)"
    ]
  },
  "canonical_url": "https://evemisslab.com/ai/papers/PAP-2026-0010/",
  "json": "/ai/papers/PAP-2026-0010/index.json",
  "relations": [
    {
      "id": "REL-2026-0044",
      "predicate": "reports",
      "source": "PAP-2026-0010",
      "target": "RES-2026-0001",
      "status": "ACTIVE"
    },
    {
      "id": "REL-2026-0045",
      "predicate": "formalizes",
      "source": "PAP-2026-0010",
      "target": "THY-2026-0004",
      "status": "ACTIVE"
    },
    {
      "id": "REL-2026-0046",
      "predicate": "packaged_as",
      "source": "PAP-2026-0010",
      "target": "ART-2026-0010",
      "status": "ACTIVE"
    }
  ],
  "snapshot": {
    "snapshot_id": "AI-SNAPSHOT-v0.1-fe85b9694a45",
    "created_at": "2026-09-11T05:00:27Z",
    "format_version": "0.1",
    "sedb_baseline": "v0.4B contract; static source content/ai/",
    "generator_version": "evemisslab-com ai_research 0.1",
    "object_count": 124,
    "relation_count": 499,
    "artifact_count": 58
  }
}
