Decoupling Logic from Persona: Structural Immunity of Edge LLM Agents to Context Pollution
arXiv:2610.09772v2 Announce Type: replace-cross Abstract: Edge language-model agents must hold a persona and reason correctly at once, in one context window that fills with history and persona instructions. We study what happens to the logical part of such an agent when that history is long, misleading and persona-heavy (persona-logic interference), and present a Decoupling Architecture (AO-DA) that separates logical inference ("What") from persona expression ("How") into two inference paths on…