AI RESEARCH
Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents
arXiv CS.AI
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ArXi:2606.04555v1 Announce Type: cross Long-horizon conversational agents need to interact with users through evolving events, tasks, and goals. Such histories are naturally temporal, yet many existing memory systems organize information primarily by topical similarity and may ignore the order in which events occur. We