AI RESEARCH
Cooperative Memory Paging with Keyword Bookmarks for Long-Horizon LLM Conversations
arXiv CS.AI
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ArXi:2604.12376v1 Announce Type: cross When LLM conversations grow beyond the context window, old content must be evicted -- but how does the model recover it when needed? We propose cooperative paging: evicted segments are replaced with minimal keyword bookmarks ([pN:keywords], ~8-24 tokens each), and the model is given a recall tool to retrieve full content on demand.