Published November 1, 2024
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Information-Geometric and Topological Features of AI Behavioral Signatures: A 14-Module Mathematical Framework
Description
Description of a 14-module mathematical pipeline spanning information theory, algebraic topology, dynamical systems, differential geometry, gauge theory, and category theory. Produces 272-dimensional feature vectors expanded to 1,543 dimensions. Achieves 0.958 AUC (GPT-4) on LLM behavioral drift detection. The Hodge/sheaf decomposition module produces the single most important feature.
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Related works
- Is part of
- 10.5281/zenodo.14865346 (DOI)