AINeutralarXiv – CS AI · 8h ago6/10
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Measuring What Persists: Conditioning Mechanisms and a Geometric Framework for AI Agent Identity
Researchers present a geometric framework using magnitude homology to measure and detect AI agent identity drift in long-context applications. The study identifies two conditioning mechanisms explaining how identity specifications influence agent behavior, validates the framework empirically, and reveals that observed drift patterns reflect padding artifacts rather than genuine context-length degradation.