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ZENODO
Preprint . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2024
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2024
License: CC BY
Data sources: Datacite
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Information-Geometric and Topological Features of AI Behavioral Signatures: A 14-Module Mathematical Framework

Authors: CIJ Labs;

Information-Geometric and Topological Features of AI Behavioral Signatures: A 14-Module Mathematical Framework

Abstract

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.

Part of the ABIS (Adaptive Behavioral Intelligence System) research series by CIJ Labs. Patent: GB2521226.7

Keywords

topological data analysis, information geometry, behavioral signatures, ABIS, feature extraction, mathematical framework

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average