{
  "id": "EXP-2026-0008",
  "kind": "experiment",
  "label": "PACC-Lab v0.1 — E0–E4: first micro-witness",
  "created_at": "2026-09-08",
  "updated_at": "2026-09-08",
  "values": {
    "eml_status": "STABLE",
    "eml_evidence_level": "E3",
    "eml_object_version": "0.1",
    "eml_canonical_url": "https://evemisslab.com/ai/experiments/EXP-2026-0008/",
    "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": "Three primitive-level non-probabilistic systems (N0 signed support, N1 ordinal tournament, N2 signed graph) integrate evidence over four hidden hypotheses next to an exact Bayesian reference. All three pass the Level-3 micro criteria — held-out JS ≤ 0.0101, update JS ≤ 0.0042, intervention JS ≤ 0.0058, action agreement ≥ 0.957 — in both uniform and heterogeneous evidence quality, with shuffled-target controls around 0.31–0.33. The redundancy diagnostic collapses N0 and N1 into one exact reparameterization family, leaving two independent families against a PACC-A minimum of three.",
    "eml_summary_zh": "三個 primitive 層的非概率系統（N0 帶號支持、N1 序數錦標賽、N2 帶號圖）在四個隱藏假設上整合證據，旁邊是精確的 Bayesian 參考。三者在均勻與異質證據品質下都通過 Level-3 微型準則——held-out JS ≤ 0.0101、更新 JS ≤ 0.0042、干預 JS ≤ 0.0058、行動一致度 ≥ 0.957——shuffled-target 控制組約 0.31–0.33。冗餘診斷把 N0 與 N1 合併為一個精確重參數化家族，獨立家族只剩兩個，未達 PACC-A 最低要求三個。",
    "eml_label_zh": "PACC-Lab v0.1——E0–E4：第一個微型見證",
    "eml_primary_domain": "Model Representation",
    "eml_domains": [
      "Evaluation",
      "Formal AI"
    ],
    "eml_program_id": "PRG-2026-0001",
    "eml_hypothesis": "A system whose canonical state and update rules do not require probability can converge toward a Bayesian reference in behaviour, held-out state representation and update dynamics.",
    "eml_metrics": {
      "verdict": "PRELIMINARY_PACC_B_R_D_MICRO_WITNESS_WITHOUT_STRONG_ATTRACTOR_CLOSURE",
      "e0_purity": true,
      "uniform": {
        "N0": {
          "agreement": 0.983073,
          "heldout_js": 0.000192,
          "update_js": 5.2e-05,
          "intervention_js": 6.1e-05,
          "shuffled_js": 0.322816
        },
        "N1": {
          "agreement": 0.983073,
          "heldout_js": 0.000192,
          "update_js": 5.2e-05,
          "intervention_js": 6.8e-05,
          "shuffled_js": 0.312444
        },
        "N2": {
          "agreement": 0.957465,
          "heldout_js": 0.008053,
          "update_js": 0.003872,
          "intervention_js": 0.005756,
          "shuffled_js": 0.309444
        }
      },
      "heterogeneous": {
        "N0": {
          "agreement": 0.983073,
          "heldout_js": 0.002878,
          "update_js": 0.000559,
          "intervention_js": 0.000645
        },
        "N2": {
          "agreement": 0.958767,
          "heldout_js": 0.010109,
          "update_js": 0.004186,
          "intervention_js": 0.004187
        }
      },
      "independent_families": 2,
      "strong_attractor_minimum": 3,
      "secondary_8_seed_pass_rate": 1.0
    },
    "eml_interpretation": "Non-probabilistic primitives can exhibit probability-like state and update structure in controlled micro-tasks; two independent convergent families are not enough to establish a computational attractor. Under uniform reliability additive signed support is closely related to rescaled log-evidence accumulation — the heterogeneous stress makes the result less trivial, not deeply equivalent.",
    "eml_limitations": [
      "Does not show probability is false, Bayesian inference unnecessary, LLM internals equivalent, non-probabilistic systems superior, or probability an observer projection.",
      "E4 dynamic-world numbers are descriptive only (HMM hazard and decay untuned)."
    ],
    "eml_random_seeds": [
      "20260908",
      "8 fixed secondary seeds (post-hoc)"
    ],
    "eml_run_count": 2,
    "eml_result_type": "MIXED",
    "eml_controls": [
      "shuffled-target mapping",
      "constant prediction",
      "broken composition (v0.6+)",
      "target-local refit (v0.7+)"
    ],
    "eml_software_environment": "Python; deterministic seeded generators; no network, no LLM.",
    "eml_reproduction_instructions": "Extract the version's FINAL bundle; python -m pytest -q; run the version's primary script with the recorded seed; docs/PACC_LAB_v0.N_RESULTS.md and docs/EXPERIMENT_PROTOCOL_v0.N.md are inside the bundle.",
    "eml_completed_at": "2026-09-08",
    "eml_data_basis": "SYNTHETIC",
    "eml_model_ids": [
      "MOD-2026-0001",
      "MOD-2026-0002",
      "MOD-2026-0003",
      "MOD-2026-0004",
      "MOD-2026-0005"
    ],
    "eml_dataset_ids": [
      "DAT-2026-0001"
    ],
    "eml_benchmark_ids": [
      "BEN-2026-0001"
    ],
    "eml_authors": [
      "Neo.K (EveMissLab)"
    ],
    "eml_ai_collaborators": [
      "Sol (GPT-5.6, OpenAI ChatGPT)"
    ]
  },
  "canonical_url": "https://evemisslab.com/ai/experiments/EXP-2026-0008/",
  "json": "/ai/experiments/EXP-2026-0008/index.json",
  "relations": [
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      "id": "REL-2026-0164",
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      "source": "EXP-2026-0008",
      "target": "THY-2026-0005",
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    {
      "id": "REL-2026-0165",
      "predicate": "produced",
      "source": "EXP-2026-0008",
      "target": "ART-2026-0021",
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    {
      "id": "REL-2026-0166",
      "predicate": "produces",
      "source": "EXP-2026-0008",
      "target": "RST-2026-0006",
      "status": "ACTIVE"
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    {
      "id": "REL-2026-0178",
      "predicate": "extends",
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  "snapshot": {
    "snapshot_id": "AI-SNAPSHOT-v0.1-fe85b9694a45",
    "created_at": "2026-09-11T05:00:27Z",
    "format_version": "0.1",
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