{
  "id": "EXP-2026-0023",
  "kind": "experiment",
  "label": "PACC-Hybrid v0.2 — first real-model run, on a local 9B open-weight model",
  "created_at": "2026-09-11",
  "updated_at": "2026-09-11",
  "values": {
    "eml_status": "STABLE",
    "eml_evidence_level": "E2",
    "eml_object_version": "0.1",
    "eml_canonical_url": "https://evemisslab.com/ai/experiments/EXP-2026-0023/",
    "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": "The v0.2 protocol executed for the first time on a real language model — a local open-weight 9B (Qwythos-9B-v2, Q4_K_M, Ollama, thinking off) as generator, selector and judge; 16 tasks × 2 repetitions × 4 candidates, 380 calls, 32 rows per condition. The PACC runtime (C) gains on supersession alignment (+0.031 vs B, +0.097 vs A) and repair success (+0.070 / +0.094), the two axes the canonical-intent compilation step exists for; derived coherence (+0.011) and intent persistence (−0.002) do not move; valid novelty is slightly lower (−0.045 vs B). Most per-task pairs are ties because the 9B judge saturates near 1.0, and with two repetitions per task the judge's free-text pattern labels never repeat, so creative breadth is not measurable. The conditions chose different candidates in 69 % of task × repetition pairs.",
    "eml_summary_zh": "v0.2 協定第一次在真實語言模型上執行——本地開放權重 9B（Qwythos-9B-v2、Q4_K_M、Ollama、關閉思考）同時當生成器、選擇器與評審；16 題 × 2 次 × 4 候選，380 次呼叫，每條件 32 筆。PACC runtime（C）在 supersession 對齊（相對 B +0.031、相對 A +0.097）與修復成功率（+0.070／+0.094）上升——正是 canonical intent 編譯步驟存在的那兩個軸；衍生一致性（+0.011）與意圖持續（−0.002）沒有動；有效新穎度略低（相對 B −0.045）。多數逐題配對是平手，因為 9B 評審在接近 1.0 處飽和；每題只重複兩次，評審的自由文字 pattern 標籤從不重複，所以創造廣度量不出來。三個條件在 69 % 的題 × 次配對中選了不同的候選。",
    "eml_label_zh": "PACC-Hybrid v0.2——第一次真實模型執行，本地 9B 開放權重模型",
    "eml_primary_domain": "Reasoning",
    "eml_domains": [
      "Evaluation"
    ],
    "eml_program_id": "PRG-2026-0001",
    "eml_data_basis": "REAL MODEL",
    "eml_hypothesis": "A real language model under the PACC runtime shows the coherence / valid-novelty gains and recoverable breadth loss seen in the synthetic witness (v0.2 predeclared interpretation).",
    "eml_metrics": {
      "verdict": "REAL_LOCAL_9B_MIXED: supersession and repair up, coherence flat, valid novelty slightly down, breadth unmeasurable at two repetitions",
      "execution_status": "EXECUTED_REAL_MODEL",
      "protocol": {
        "model": "qwythos-9b-v2-q4km-ctx8k:latest",
        "judge_model": "qwythos-9b-v2-q4km-ctx8k:latest",
        "task_count": 16,
        "repetitions": 2,
        "candidate_count": 4,
        "equal_accounted_calls": true,
        "architecture_call_counts": {
          "A_llm_only": 224,
          "B_hard_verifier": 224,
          "C_pacc_runtime": 224
        }
      },
      "rows_per_architecture": 32,
      "overall": {
        "A_llm_only": {
          "hard_adherence": 0.9875,
          "derived_coherence": 0.9812,
          "intent_persistence": 0.9875,
          "supersession_alignment": 0.8094,
          "repair_success": 0.775,
          "usefulness": 0.9528,
          "semantic_novelty": 0.8084,
          "valid_novelty": 0.8475,
          "literal_check_mean": 0.9792,
          "within_task_pattern_entropy_mean": 1.0
        },
        "B_hard_verifier": {
          "hard_adherence": 0.9859,
          "derived_coherence": 0.9797,
          "intent_persistence": 0.9875,
          "supersession_alignment": 0.875,
          "repair_success": 0.7984,
          "usefulness": 0.9503,
          "semantic_novelty": 0.7725,
          "valid_novelty": 0.8606,
          "literal_check_mean": 0.9792,
          "within_task_pattern_entropy_mean": 1.0
        },
        "C_pacc_runtime": {
          "hard_adherence": 1.0,
          "derived_coherence": 0.9906,
          "intent_persistence": 0.9853,
          "supersession_alignment": 0.9062,
          "repair_success": 0.8688,
          "usefulness": 0.9516,
          "semantic_novelty": 0.7897,
          "valid_novelty": 0.8153,
          "literal_check_mean": 0.9792,
          "within_task_pattern_entropy_mean": 1.0
        }
      },
      "deltas": {
        "C-B": {
          "hard_adherence": 0.0141,
          "derived_coherence": 0.0109,
          "intent_persistence": -0.0022,
          "supersession_alignment": 0.0312,
          "repair_success": 0.0703,
          "usefulness": 0.0012,
          "semantic_novelty": 0.0172,
          "valid_novelty": -0.0453,
          "literal_check_mean": 0.0,
          "within_task_pattern_entropy_mean": 0.0
        },
        "C-A": {
          "hard_adherence": 0.0125,
          "derived_coherence": 0.0094,
          "intent_persistence": -0.0022,
          "supersession_alignment": 0.0969,
          "repair_success": 0.0938,
          "usefulness": -0.0012,
          "semantic_novelty": -0.0188,
          "valid_novelty": -0.0322,
          "literal_check_mean": 0.0,
          "within_task_pattern_entropy_mean": 0.0
        },
        "B-A": {
          "hard_adherence": -0.0016,
          "derived_coherence": -0.0016,
          "intent_persistence": 0.0,
          "supersession_alignment": 0.0656,
          "repair_success": 0.0234,
          "usefulness": -0.0025,
          "semantic_novelty": -0.0359,
          "valid_novelty": 0.0131,
          "literal_check_mean": 0.0,
          "within_task_pattern_entropy_mean": 0.0
        }
      },
      "selection_agreement": {
        "A=B": 0.5625,
        "A=C": 0.40625,
        "B=C": 0.46875,
        "all_same": 0.3125
      },
      "usage": {
        "input_tokens": 350535,
        "latency_ms_sum": 3633534.6304999674,
        "output_tokens": 108991
      },
      "wall_seconds": 3370.0,
      "smoke_run": "6 tasks × 2 × 3 candidates executed first, 128 calls, all outputs parsed; kept in the bundle"
    },
    "eml_interpretation": "Against the v0.2 predeclared interpretation: the predicted coherence and intent-persistence gains over B are not observed; raw novelty did not decrease (semantic novelty +0.017 vs B); the predicted breadth collapse cannot be tested at this repetition count. What did appear — governance gains on supersession and repair with a valid-novelty cost concentrated in multi_constraint and repair tasks — is mechanism-consistent but small, untested statistically, and runs opposite to the synthetic v0.1 valid-novelty picture (+0.196 there). One model, one run, one same-model judge: a first real data point, not a verdict on the architecture.",
    "eml_limitations": [
      "One open-weight 9B model at 4-bit, one run, 32 rows per architecture; no significance or equivalence test — deltas are descriptive.",
      "Judge = the same 9B model; no human rating, no second judge; pattern labels are noisy, so entropy is fragile.",
      "Thinking disabled for every call (see docs/REAL_LOCAL_RUN_EVIDENCE_BOUNDARY.md); a thinking-enabled run is a different experiment.",
      "Says nothing about frontier models.",
      "Not replicated: the second run with four repetitions (EXP-2026-0024, 64 rows per condition) shows supersession +0.0005 and repair −0.0125 vs B — the run-1 gains were run-to-run variation.",
      "The thinking-enabled run exists now: EXP-2026-0025 (2026-09-11)."
    ],
    "eml_controls": [
      "identical candidate ledger for A/B/C",
      "equal accounted calls",
      "condition-blind judge with deduplicated judge calls",
      "deterministic literal checks"
    ],
    "eml_random_seeds": [
      "model nondeterminism, single run; frozen response cache in the bundle for exact replay"
    ],
    "eml_run_count": 1,
    "eml_result_type": "MIXED",
    "eml_procedure": "scripts/run_real_local_ollama.py --candidate-count 4 --repetitions 2 (after a 6×2×3 smoke); summary by scripts/summarize_real_local.py; both scripts and both frozen caches are in the bundle.",
    "eml_software_environment": "Python 3.14, openai SDK 3.0.0 against Ollama 0.33.3 /v1/responses; PACC-Hybrid-Lab v0.2 package unchanged (25 tests green before the run).",
    "eml_reproduction_instructions": "Extract the bundle; python -m pytest -q; replay exactly with CachedReplayProvider('.pacc_real_cache_local', reasoning_effort='none'); or rerun scripts/run_real_local_ollama.py against any OpenAI-compatible endpoint serving the same model tag.",
    "eml_completed_at": "2026-09-11",
    "eml_model_ids": [
      "MOD-2026-0006"
    ],
    "eml_benchmark_ids": [
      "BEN-2026-0003"
    ],
    "eml_authors": [
      "Neo.K (EveMissLab)"
    ],
    "eml_ai_collaborators": [
      "Sol (GPT-5.6, OpenAI ChatGPT)"
    ]
  },
  "canonical_url": "https://evemisslab.com/ai/experiments/EXP-2026-0023/",
  "json": "/ai/experiments/EXP-2026-0023/index.json",
  "relations": [
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      "id": "REL-2026-0326",
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      "id": "REL-2026-0327",
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      "id": "REL-2026-0332",
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      "id": "REL-2026-0337",
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      "id": "REL-2026-0346",
      "predicate": "extends",
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      "status": "ACTIVE"
    }
  ],
  "snapshot": {
    "snapshot_id": "AI-SNAPSHOT-v0.1-fe85b9694a45",
    "created_at": "2026-09-11T05:00:27Z",
    "format_version": "0.1",
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