AI RESEARCH
Beyond Similarity Search: Tenure and the Case for Structured Belief State in LLM Memory
arXiv CS.AI
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ArXi:2605.11325v1 Announce Type: cross Why do we need another AI to help the AI? We argue you don't. Stateless LLM sessions impose re-orientation costs on iterative, session-heavy workflows. Prior work addresses cross-session memory through retrieval-augmented approaches: history, embed it, retrieve by semantic similarity. Cross-session memory is a state management problem, not a search problem. Similarity search fails for named entity resolution within bounded vocabulary contexts because beliefs about a shared technical domain are semantically proximate by construction.