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MORSE: Multi-Context Ordering via Reverse Scoring for Evidence-Preserving Compression

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

Likelihood-based context compression can account for cross-context redundancy through sequential scoring, but this makes compression outcomes sensitive to context order. We show that different permutations of the same context collection can produce markedly different evidence-retention outcomes under an unchanged compressor. We attribute this sensitivity to information preemption: earlier partially relevant contexts can absorb credit for shared information, suppressing the incremental score of later, stronger evidence carriers and increasing their risk of removal. Controlled pair-swap interven

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