{
  "id": "RES-2026-0004",
  "kind": "research",
  "label": "A PACC-style runtime on language models: reasoning, intent and creative breadth",
  "created_at": "2026-09-09",
  "updated_at": "2026-09-09",
  "values": {
    "eml_status": "ACTIVE",
    "eml_evidence_level": "E2",
    "eml_object_version": "0.1",
    "eml_canonical_url": "https://evemisslab.com/ai/research/RES-2026-0004/",
    "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",
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    },
    "eml_summary": "Does wrapping candidate selection in a canonical hard/derived-constraint commit space change what a generator produces? A synthetic A/B/C witness (generator only / hard verifier / PACC runtime) shows derived coherence and constraint-satisfying novelty up, soft-preference fit slightly down, and a creative-breadth collapse that a post-hoc 'elastic' exploration policy recovers. The real-language-model version of the benchmark has a validated, fail-closed harness but has not been executed.",
    "eml_summary_zh": "把候選選擇包進 canonical 硬約束／衍生約束的 commit 空間，會改變生成器的產出嗎？合成的 A/B/C 見證（純生成器／硬驗證器／PACC runtime）顯示衍生一致性與滿足約束的新穎度上升、軟偏好契合略降，以及一個可由事後「elastic」探索策略恢復的創造廣度塌縮。真實語言模型版本的 benchmark 已有驗證過、fail-closed 的 harness，但尚未執行。",
    "eml_label_zh": "PACC 式 runtime 用在語言模型上：推理、意圖與創造廣度",
    "eml_primary_domain": "Reasoning",
    "eml_domains": [
      "Evaluation",
      "Agent Systems"
    ],
    "eml_program_id": "PRG-2026-0001",
    "eml_data_basis": "SYNTHETIC",
    "eml_research_questions": [
      "Is there a reasoning-up / imagination-down trade-off, or is the observed breadth loss a selection-policy artefact separable from the commit constraints?",
      "Will a frontier language model show the same effect as the synthetic witness?"
    ],
    "eml_claims": [
      "Within the synthetic witness: reasoning coherence ↑, valid novelty ↑, soft-preference fit slightly ↓, creative breadth ↓ under naive selection and recoverable with exploration separated from commitment (8/8 seeds sign-stable).",
      "Real local 9B model, thinking off, two runs (32 and 64 rows per condition): the three runtime conditions are practically equivalent on every judge axis, and by label-free measures the PACC runtime does not narrow creative breadth. The synthetic v0.1 prediction did not appear on this model.",
      "Real local 9B model with thinking enabled (32 rows per condition): the PACC runtime has the highest valid novelty (+0.069 vs the hard verifier, +0.038 vs the plain model) and repair, governance axes are flat to slightly lower, and breadth is again not reduced — half of the synthetic prediction, unreplicated."
    ],
    "eml_limitations": [
      "Zero real LLM calls so far; no claim about real-model reasoning, intent understanding, imagination, hallucination or human-rated usefulness is permitted before a real-model result exists.",
      "The v0.1 numbers are synthetic data and theoretical reasoning; until a real hybrid model exists, an inference is only an inference — theoretically possible is not actually possible."
    ],
    "eml_authors": [
      "Neo.K (EveMissLab)"
    ],
    "eml_ai_collaborators": [
      "Sol (GPT-5.6, OpenAI ChatGPT)"
    ]
  },
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