AI RESEARCH
Identity as Attractor: Geometric Evidence for Persistent Agent Architecture in LLM Activation Space
arXiv CS.AI
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ArXi:2604.12016v1 Announce Type: new Large language models map semantically related prompts to similar internal representations -- a phenomenon interpretable as attractor-like dynamics. We ask whether the identity document of a persistent cognitive agent (its cognitive_core) exhibits analogous attractor-like behavior. We present a controlled experiment on Llama 3.1 8B Instruct, comparing hidden states of an original cognitive_core (Condition A), seven paraphrases (Condition B), and seven structurally matched controls (Condition C.