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