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Stable Geometry with Divergent Task Evidence for Efficient Long-Horizon Agent Compression

arXiv · AI, language, vision and robotics · article · Sep 23, 2026 · UTC

Long horizon agents accumulate growing interaction histories that increase context and inference costs. We find that geometric redundancy alone is an insufficient criterion for safe compression. Although agent histories exhibit strong low dimensional structure, similar global geometry can preserve very different amounts of task evidence. At identical retained block counts, evidence aware selection raises next action Top 3 retention from 0.31 to 0.69, while centroid similarity remains 0.98. Controlled replacement further shows that action related information can be substantially altered while g

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