{
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  "kind": "dataset",
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  "records": [
    {
      "id": "DAT-2026-0001",
      "kind": "dataset",
      "label": "PACC synthetic evidence worlds",
      "created_at": "2026-09-08",
      "updated_at": "2026-09-09",
      "values": {
        "eml_status": "STABLE",
        "eml_evidence_level": "E2",
        "eml_object_version": "0.1",
        "eml_canonical_url": "https://evemisslab.com/ai/data/DAT-2026-0001/",
        "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": "Deterministically generated micro-environments: 4 hidden hypotheses × 6 binary prototypes with per-feature reliabilities; source-quality worlds for learned reliability (20 worlds / 280 episodes / 28 observations at primary scale); correlated-cluster worlds with latent shared inversion at q ∈ {0.06 … 0.42}; and regime-switching dynamic worlds. Primary seeds 20260908 (v0.1) and 20260909 (v0.3+); secondary seeds are labelled post-hoc.",
        "eml_summary_zh": "決定性生成的微型環境：4 個隱藏假設 × 6 個二元原型與逐特徵可靠度；學習可靠度用的來源品質世界（主要規模 20 個世界／280 回合／28 次觀察）；q ∈ {0.06 … 0.42} 帶潛在共同反轉的相關來源叢集世界；以及 regime 切換的動態世界。主要 seed 20260908（v0.1）與 20260909（v0.3 起）；次要 seed 標為事後。",
        "eml_label_zh": "PACC 合成證據世界",
        "eml_primary_domain": "Evaluation",
        "eml_program_id": "PRG-2026-0001",
        "eml_data_basis": "SYNTHETIC",
        "eml_description": "Generators and result JSON live inside each PACC-Lab FINAL bundle; environments are regenerated from seed, not stored as static tables.",
        "eml_generation_method": "Seeded synthetic generation with preregistered structural checks (e.g. joint-vs-naive Bayes log-loss gap = 0 in independent geometry, > 0 in correlated geometry).",
        "eml_format": "Python generators + JSON result files",
        "eml_known_bias": [
          "Fully observable and synthetic by design; no natural data."
        ],
        "eml_authors": [
          "Neo.K (EveMissLab)"
        ],
        "eml_ai_collaborators": [
          "Sol (GPT-5.6, OpenAI ChatGPT)"
        ]
      },
      "canonical_url": "https://evemisslab.com/ai/data/DAT-2026-0001/",
      "json": "/ai/data/DAT-2026-0001/index.json"
    },
    {
      "id": "DAT-2026-0002",
      "kind": "dataset",
      "label": "PACC-Hybrid v0.1 shared candidate pools",
      "created_at": "2026-09-09",
      "updated_at": "2026-09-09",
      "values": {
        "eml_status": "STABLE",
        "eml_evidence_level": "E2",
        "eml_object_version": "0.1",
        "eml_canonical_url": "https://evemisslab.com/ai/data/DAT-2026-0002/",
        "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": "1,568 candidate-pool instances (7 categories × 28 tasks × 8 repetitions, 112 candidates each) generated synthetically and given identically to all A/B/C conditions, with primary, multiseed and elastic-diagnostic result JSON. No language-model output is included.",
        "eml_summary_zh": "1,568 個候選池實例（7 類 × 28 題 × 8 次重複，每池 112 個候選），合成生成並一模一樣地提供給 A/B/C 三個條件，附 primary、multiseed 與 elastic 診斷的結果 JSON。不含任何語言模型輸出。",
        "eml_label_zh": "PACC-Hybrid v0.1 共享候選池",
        "eml_primary_domain": "Evaluation",
        "eml_program_id": "PRG-2026-0001",
        "eml_data_basis": "SYNTHETIC",
        "eml_description": "pacc_hybrid_v0.1_primary.json, pacc_hybrid_v0.1_multiseed.json, pacc_hybrid_v0.1_elastic_multiseed.json, pacc_hybrid_v0.1_elastic_diagnostic.json inside the v0.1 bundle.",
        "eml_generation_method": "Seeded synthetic candidate generation (seed 20260909 primary; 8 fixed secondary seeds).",
        "eml_format": "JSON",
        "eml_known_bias": [
          "Synthetic candidates and synthetic scoring; a real-model pool is the v0.2 open item."
        ],
        "eml_authors": [
          "Neo.K (EveMissLab)"
        ],
        "eml_ai_collaborators": [
          "Sol (GPT-5.6, OpenAI ChatGPT)"
        ]
      },
      "canonical_url": "https://evemisslab.com/ai/data/DAT-2026-0002/",
      "json": "/ai/data/DAT-2026-0002/index.json"
    }
  ],
  "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
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}
