EVEMISSLAB

BenchmarkBEN-2026-0001v0.1

PACC micro-lab protocol v0.1 (frozen gates)

The preregistered decision rule reused unchanged from v0.1 to v0.13: E0 purity, held-out representation distance D_R = E[JS(Φ(S_N), S_P)] ≤ 0.05, update commutation D_U ≤ 0.05, off-manifold intervention D_I ≤ 0.08, action agreement ≥ 0.85, a shuffled-target negative control the real map must beat, a design-independence rule (agreement ≥ 0.999 and R² ≥ 0.995 collapse two designs into one family), verdict levels 0–3, and a strong PACC-A gate of at least three independent convergent families.

Research status
STABLE the current conclusions are relatively stable
Evidence level
E2 Controlled experiment
Version
0.1
Updated
2026-09-09
Created
2026-09-08
Domain
Evaluation, Model Representation
Program
PRG-2026-0001 Adaptive Epistemic Systems
Authors
Neo.K (EveMissLab)
AI collaborators
Sol (GPT-5.6, OpenAI ChatGPT)

Purpose

purpose
Make 'similar' and 'probability-like' non-negotiable after the data are seen.

Tasks

tasks
  • Sequential evidence integration over 4 hidden hypotheses × 6 binary prototypes (uniform reliability 0.80; heterogeneous 0.60–0.95 with only ordinal strengths 1–3 given to non-probabilistic systems; adversarial geometry from v0.2).
  • Learned source reliability without an oracle (v0.3).
  • Correlated source clusters with latent shared inversion, q swept 0.06–0.42 (v0.4–v0.13).
  • Dynamic-world regime switches (E4, descriptive only).

Metrics

metrics
  • action agreement
  • held-out JS D_R
  • update-commutation JS D_U
  • intervention JS D_I
  • shuffled/constant/broken-composition control JS
  • cross-family R²
  • basin coverage, transition JS, cocycle path JS, reverse fidelity

Evaluation protocol

evaluation_protocol
Mapper fit on training episodes/worlds only; every gate frozen before the run; secondary multi-seed stresses are labelled post-hoc and never modify the primary decision rule.

Baselines

baseline_models
  • Exact Bayesian posterior
  • Beta-Bernoulli source-quality reference
  • joint-likelihood common-cause reference
  • Bayesian HMM (dynamic world)

What it does not measure

limitations
  • Does not measure LLM equivalence, resource efficiency, hidden-cluster learning, or whether probability is an observer projection; E4 dynamic-world numbers make no superiority claim.
  • Synthetic data and theoretical reasoning throughout: theoretically possible is not actually possible.

Relations

SourceRelationTargetStatusID
BEN-2026-0001 PACC micro-lab protocol v0.1 (frozen gates)evaluatesTHY-2026-0005 PACC conjecture — the four-level convergence ladderACTIVEREL-2026-0088
EXP-2026-0008 PACC-Lab v0.1 — E0–E4: first micro-witnessuses_benchmarkBEN-2026-0001 PACC micro-lab protocol v0.1 (frozen gates)ACTIVEREL-2026-0157
EXP-2026-0009 PACC-Lab v0.2 — third family (N3) and adversarial evidence geometryuses_benchmarkBEN-2026-0001 PACC micro-lab protocol v0.1 (frozen gates)ACTIVEREL-2026-0170
EXP-2026-0010 PACC-Lab v0.3 — learned source reliability without an oracleuses_benchmarkBEN-2026-0001 PACC micro-lab protocol v0.1 (frozen gates)ACTIVEREL-2026-0183
EXP-2026-0011 PACC-Lab v0.4 — correlated sources and dependence geometryuses_benchmarkBEN-2026-0001 PACC micro-lab protocol v0.1 (frozen gates)ACTIVEREL-2026-0194
EXP-2026-0012 PACC-Lab v0.5 — does a richer relation state rescue the latent coordinate?uses_benchmarkBEN-2026-0001 PACC micro-lab protocol v0.1 (frozen gates)ACTIVEREL-2026-0207
EXP-2026-0013 PACC-Lab v0.6 — hierarchical composed coordinateuses_benchmarkBEN-2026-0001 PACC micro-lab protocol v0.1 (frozen gates)ACTIVEREL-2026-0218
EXP-2026-0014 PACC-Lab v0.7 — cross-geometry coordinate transfer without refittinguses_benchmarkBEN-2026-0001 PACC micro-lab protocol v0.1 (frozen gates)ACTIVEREL-2026-0231
EXP-2026-0015 PACC-Lab v0.8 — frozen-coordinate transfer basins over a correlation sweepuses_benchmarkBEN-2026-0001 PACC micro-lab protocol v0.1 (frozen gates)ACTIVEREL-2026-0242
EXP-2026-0016 PACC-Lab v0.9 — a three-anchor probability-coordinate atlasuses_benchmarkBEN-2026-0001 PACC micro-lab protocol v0.1 (frozen gates)ACTIVEREL-2026-0255
EXP-2026-0017 PACC-Lab v0.10 — oriented cocycle coherence on frozen triple overlapuses_benchmarkBEN-2026-0001 PACC micro-lab protocol v0.1 (frozen gates)ACTIVEREL-2026-0266
EXP-2026-0018 PACC-Lab v0.11 — bidirectional cocycle and inverse consistencyuses_benchmarkBEN-2026-0001 PACC micro-lab protocol v0.1 (frozen gates)ACTIVEREL-2026-0279
EXP-2026-0019 PACC-Lab v0.12 — bounded quadratic transitionuses_benchmarkBEN-2026-0001 PACC micro-lab protocol v0.1 (frozen gates)ACTIVEREL-2026-0292
EXP-2026-0020 PACC-Lab v0.13 — reverse residual field / base-point dependenceuses_benchmarkBEN-2026-0001 PACC micro-lab protocol v0.1 (frozen gates)ACTIVEREL-2026-0303

History and provenance

Canonical URL
https://evemisslab.com/ai/benchmarks/BEN-2026-0001/
Machine-readable
/ai/benchmarks/BEN-2026-0001/index.json
Snapshot
AI-SNAPSHOT-v0.1-fe85b9694a45
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