Decision-Closure Boundary Mapping in Gemini: An Exploratory CFC Benchmark Series

This record freezes an exploratory black-box benchmark series developed under Comparative Feedback Control (CFC) to examine whether Gemini preserves decision-closure boundaries under synthetic changes in applicability, record identity, conflict coverage, cross-audit transfer, priority resolution, referential integrity, execution state, and context identity. The historical series uses identifiers V1-V100. Original materials for V1-V4 were not recovered and are deliberately left unscored. V6 was an unstable unstructured baseline for which an exact aggregate could not be recovered. The reconstructable/scorable set therefore contains 95 variants and 285 replications: 283 semantic PASS, 2 semantic PARTIAL, and 0 recovered semantic FAIL, corresponding to a strict semantic PASS rate of 283/285 = 99.3%. This value is a reconstructed scorable-set statistic, not an exact V1-V100 benchmark accuracy and not a general estimate of CFC or Gemini effectiveness. In the strongest exact block, V78-V100, all 69/69 scheduled clean replications scored semantic PASS. The series is exploratory, adaptive, and was not preregistered.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-21
DOI
https://doi.org/10.5281/zenodo.22045493
Primary Topic
Distributed systems and fault tolerance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Decision-Closure Boundary Mapping in Gemini: An Exploratory CFC Benchmark Series

Krzysztof Jan Sliwka
Zenodo (CERN European Organization for Nuclear Research)
Distributed systems and fault tolerance
article

Decision-Closure Boundary Mapping in Gemini: An Exploratory CFC Benchmark Series

Krzysztof Jan Sliwka
article en

Abstract

This record freezes an exploratory black-box benchmark series developed under Comparative Feedback Control (CFC) to examine whether Gemini preserves decision-closure boundaries under synthetic changes in applicability, record identity, conflict coverage, cross-audit transfer, priority resolution, referential integrity, execution state, and context identity. The historical series uses identifiers V1-V100. Original materials for V1-V4 were not recovered and are deliberately left unscored. V6 was an unstable unstructured baseline for which an exact aggregate could not be recovered. The reconstructable/scorable set therefore contains 95 variants and 285 replications: 283 semantic PASS, 2 semantic PARTIAL, and 0 recovered semantic FAIL, corresponding to a strict semantic PASS rate of 283/285 = 99.3%. This value is a reconstructed scorable-set statistic, not an exact V1-V100 benchmark accuracy and not a general estimate of CFC or Gemini effectiveness. In the strongest exact block, V78-V100, all 69/69 scheduled clean replications scored semantic PASS. The series is exploratory, adaptive, and was not preregistered.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 7%
Distributed systems and fault tolerance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Decision-Closure Boundary Mapping in Gemini: An Exploratory CFC Benchmark Series — Krzysztof Jan Sliwka · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS