sebastian-krug/gamma-vector-framework: # Release v1.0.1 — Data Integrity Fix

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Authors: Sebastian Krug
Cited by: 0

Abstract

Initial public release of the Gamma Vector Framework. A three-dimensional operationalization of cognitive rigidity in Large Language Models. Includes experimental code, data from 6 experiments (>1,700 trials, >6,400 data points), analysis scripts, and comprehensive reports. Key findings: Operator convergence across architectures (r > 0.92, p < 0.0001) Three-Genus Taxonomy: Base, RLHF, and Reasoning models show distinct rigidity profiles Identity defense (γ₃) as primary differentiator (H = 135.3, p < 10⁻³⁰) Full Changelog: https://github.com/sebastian-krug/gamma-vector-framework/commits/v1.0.0

Fields of Study & Subjects

Topic Modeling Adversarial Robustness in Machine Learning Natural Language Processing Techniques

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 March 2026
Language
EN