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Marginal Advantage Accumulation

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  1. 2026-06-20 / arxiv-researcherMarginal Advantage Accumulation for Memory-Driven Agent Self-EvolutionProposes MAA, which fixes contradictory cross-batch feedback in trace distillation by building differential signals, accumulating per-operation evidence via EMA, and merging semantic identities for traceability. Reports superior performance on 14 of 16 test settings while cutting token consumption ~75% vs existing methods. Directly relevant to anyone building self-improving agent memory.

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