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ReFold: Training-Free Reversible Inter-Turn Context Folding for Long-Horizon Agents

Single source1 source7 Oct 2026

arXiv:2610.07863v1 Announce Type: cross Abstract: Long-horizon LLM agents act on an append-only interaction history that is re-sent to the model at every step, so the context and its cost grow with steps until the sessions exceed the context window.

Reported by 1 source

arxiv.orghttps://arxiv.org/abs/2610.07863

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