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實驗EXP-2026-0016v0.1

PACC-Lab v0.9——三錨點概率座標圖冊

在 q = 0.12、0.24、0.36 的三個預登記 chart 給每個家族相同的聯集 {0.06 … 0.36}：掃描覆蓋 8/9，三個次要 seed 下穩定，永遠蓋不到 q = 0.42。最近的 chart（0.12/0.24）直接一致；相距遠的（0.12/0.36）不一致（任務 JS ≈ 0.071–0.082），但在獨立 seed 上校準的低複雜度轉換映射在主要協定下每個家族 6 個方向通過 5 個——弱方向是 0.36 → 0.12（潛在 JS ≈ 0.017–0.021 > 0.01）。轉換一致性在次要 seed 下不穩健（平均通過 ≈ 0.53–0.67）。

研究狀態
STABLE 目前的研究結論相對穩定
證據等級
E3 重複實驗
結果
MIXED
資料基礎
SYNTHETIC 合成數據與理論推理。現在很多人把合成數據當成真的；這個實驗室刻意反過來說——在真正的混合模型出現之前，推論就只是推論，理論上可能不等於實際上可能。
版本
0.1
更新
2026-09-09
建立
2026-09-09
領域
Model Representation, Evaluation, Formal AI
計畫
PRG-2026-0001 自適應世界狀態系統的第一原理框架
作者
Neo.K (EveMissLab)
AI 協作
Sol (GPT-5.6, OpenAI ChatGPT)

假設

hypothesis
A small multi-anchor atlas covers the sweep and its charts are mutually translatable by low-complexity transitions.

設定

model_ids
dataset_ids
benchmark_ids
software_environment
Python; deterministic seeded generators; no network, no LLM.

執行

run_count
3
random_seeds
  • 20260909
  • independent calibration seed
  • 3 secondary seeds
controls
  • shuffled-target mapping
  • constant prediction
  • broken composition (v0.6+)
  • target-local refit (v0.7+)
metrics
verdict
PARTIAL_MULTI_ANCHOR_ATLAS
coverage
8/9
uncovered_q
0.42
transition_pass_primary
5/6 per family
weak_direction
0.36→0.12
secondary_transition_pass_rate
N0_N1
0.667
N2
0.528
N3
0.583

詮釋

interpretation
Rejects both extremes — one global chart (finite coverage) and unrelated local charts (overlaps translate cheaply) — leaving partially overlapping probability-like charts with finite coverage and nonuniform transition coherence.

限制

limitations
  • Full atlas coverage, robust transition coherence, cocycle consistency and manifold structure not established.

重現

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.

記錄欄位

completed_at
2026-09-09

關係

來源關係目標狀態ID
EXP-2026-0016 PACC-Lab v0.9——三錨點概率座標圖冊runs_onSYS-2026-0002 PACC-Lab——收斂猜想的微型實驗室ACTIVEREL-2026-0254
EXP-2026-0016 PACC-Lab v0.9——三錨點概率座標圖冊uses_benchmarkBEN-2026-0001 PACC 微型實驗室協定 v0.1（凍結門檻）ACTIVEREL-2026-0255
EXP-2026-0016 PACC-Lab v0.9——三錨點概率座標圖冊uses_datasetDAT-2026-0001 PACC 合成證據世界ACTIVEREL-2026-0256
EXP-2026-0016 PACC-Lab v0.9——三錨點概率座標圖冊uses_modelMOD-2026-0001 N0——帶號支持ACTIVEREL-2026-0257
EXP-2026-0016 PACC-Lab v0.9——三錨點概率座標圖冊uses_modelMOD-2026-0002 N1——序數錦標賽ACTIVEREL-2026-0258
EXP-2026-0016 PACC-Lab v0.9——三錨點概率座標圖冊uses_modelMOD-2026-0003 N2——帶號圖ACTIVEREL-2026-0259
EXP-2026-0016 PACC-Lab v0.9——三錨點概率座標圖冊uses_modelMOD-2026-0004 N3——約束競爭ACTIVEREL-2026-0260
EXP-2026-0016 PACC-Lab v0.9——三錨點概率座標圖冊uses_modelMOD-2026-0005 Bayesian 參考（精確後驗／Beta-Bernoulli／聯合共同因／HMM）ACTIVEREL-2026-0261
EXP-2026-0016 PACC-Lab v0.9——三錨點概率座標圖冊testsTHY-2026-0005 PACC 猜想——四層收斂階梯ACTIVEREL-2026-0262
EXP-2026-0016 PACC-Lab v0.9——三錨點概率座標圖冊extendsEXP-2026-0015 PACC-Lab v0.8——相關度掃描下的凍結座標轉移吸引域ACTIVEREL-2026-0263
EXP-2026-0016 PACC-Lab v0.9——三錨點概率座標圖冊producedART-2026-0029 PACC-Lab v0.9 Coordinate Atlas FINAL artifact://evemisslab/adaptive-epistemic-systems/PACC-Lab_v0.9_Coordinate_Atlas_FINAL.zipACTIVEREL-2026-0264
EXP-2026-0017 PACC-Lab v0.10——凍結三重重疊上的定向 cocycle 一致性extendsEXP-2026-0016 PACC-Lab v0.9——三錨點概率座標圖冊ACTIVEREL-2026-0274

歷史與來源歷程

Canonical URL
https://evemisslab.com/ai/experiments/EXP-2026-0016/
機器可讀
/ai/experiments/EXP-2026-0016/index.json
快照
AI-SNAPSHOT-v0.1-fe85b9694a45
來源歷程
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