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Addressable Recall Compaction for Long Context-Window Control in AI Agents
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Researchers propose Addressable Recall Compaction (ARC), a new context-management framework for LLM agents to overcome context window limits by separating archival storage from active context.
Open sourceOneBench interpretation
Institutional assessment
So what
New context management for LLM agents could extend long-running process capabilities, impacting automation and complex workflow design.
Do what
Add to the Q3 LLM architecture review to track advancements in agent context management.