Self-Compacting Language Model Agents

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Long agent traces composed of chains of thought and tool calls accumulate stale content that anchor subsequent generations, and eventually outgrow the context window. Existing scaffolds mitigate it with fixed-interval compaction triggered at a token threshold. Such triggers pay no heed to trajectory structure, risking discard of partial results mid-derivation or mid-search. …

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Apple Machine Learning Research — imported from official source
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October 13, 2026 00:01
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self-compacting-language-agents

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