AI RESEARCH
PEEK: Context Map as an Orientation Cache for Long-Context LLM Agents
arXiv CS.AI
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ArXi:2605.19932v1 Announce Type: new Large language model (LLM) agents increasingly operate over long and recurring external contexts, like document corpora and code repositories. Across invocations, existing approaches preserve either the agent's trajectory, passive access to raw material, or task-level strategies.