AI agents2 min read
Prune the Summary, Not the History: Source-Judged Compaction for Long-Horizon Agents
Long-horizon LLM agents rely on context compaction: when the interaction history outgrows the context window, a compressor replaces it with a natural-language summary. We show that these summaries contain more than a record of what happened.
By Guanghui Min, Chen ChenarXiv - cs.CL (NLP)
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Originally published by arXiv - cs.CL (NLP) on Oct 16, 2026.
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