EVEMISSLAB

BenchmarkBEN-2026-0003v0.1

PACC-LLM Hybrid A/B/C benchmark

Three conditions over identical candidate pools: A generator-only, B hard verifier, C PACC runtime (plus post-hoc D 'elastic'). v0.1: 7 categories × 28 tasks × 8 pools × 112 candidates (1,568 shared pool instances). Metrics: explicit hard adherence, derived coherence, soft-intent satisfaction, long-horizon retention, raw and valid novelty, pattern entropy. v0.2: 16 hand-authored natural-language tasks, equal accounted budgets, gold rubric visible only to a condition-blind judge.

Research status
EXPERIMENTAL being tested experimentally
Evidence level
E2 Controlled experiment
Version
0.1
Updated
2026-09-09
Created
2026-09-09
Domain
Evaluation, Reasoning
Program
PRG-2026-0001 Adaptive Epistemic Systems
Authors
Neo.K (EveMissLab)
AI collaborators
Sol (GPT-5.6, OpenAI ChatGPT)

Purpose

purpose
Separate 'more rejection' from genuine gains in derived dependency coherence, intent handling and constraint-satisfying novelty.

Metrics

metrics
  • explicit hard adherence
  • derived coherence
  • soft-intent satisfaction
  • long-horizon retention
  • raw novelty
  • valid novelty
  • pattern entropy

What it does not measure

limitations
  • A single-model judge is not human evaluation; nothing about real models is measured until a live run exists.

Relations

SourceRelationTargetStatusID
BEN-2026-0003 PACC-LLM Hybrid A/B/C benchmarkevaluatesTHY-2026-0005 PACC conjecture — the four-level convergence ladderACTIVEREL-2026-0091
EXP-2026-0021 PACC-Hybrid v0.1 — synthetic A/B/C architecture witnessuses_benchmarkBEN-2026-0003 PACC-LLM Hybrid A/B/C benchmarkACTIVEREL-2026-0314
EXP-2026-0022 PACC-Hybrid v0.2 — real-language-model A/B/C harness (not yet executed)uses_benchmarkBEN-2026-0003 PACC-LLM Hybrid A/B/C benchmarkACTIVEREL-2026-0321
EXP-2026-0023 PACC-Hybrid v0.2 — first real-model run, on a local 9B open-weight modeluses_benchmarkBEN-2026-0003 PACC-LLM Hybrid A/B/C benchmarkACTIVEREL-2026-0327
EXP-2026-0024 PACC-Hybrid v0.2 — real-model run 2: four repetitions and label-free creative breadthuses_benchmarkBEN-2026-0003 PACC-LLM Hybrid A/B/C benchmarkACTIVEREL-2026-0335
EXP-2026-0025 PACC-Hybrid v0.2 — real-model run 3: thinking enabled with enlarged output budgetsuses_benchmarkBEN-2026-0003 PACC-LLM Hybrid A/B/C benchmarkACTIVEREL-2026-0344

History and provenance

Canonical URL
https://evemisslab.com/ai/benchmarks/BEN-2026-0003/
Machine-readable
/ai/benchmarks/BEN-2026-0003/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