# CTWM memory controller cuts LongMemEval tokens 24.48% with accuracy parity

> Source: <https://www.snipvote.com/story/cmuqn2cct0006t56bzh30yjna>
> Published: 2026-10-02 07:37:52.071567+00:00

[arXiv](https://arxiv.org/abs/2610.00010)

### CTWM memory controller cuts LongMemEval tokens 24.48% with accuracy parity

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Mistral Large quota or rate limit — check usage and plan. Original headline: Heavy-Tailed Memory Traces in Long-Horizon Language Agents

A rank-based memory controller cut prompt tokens by 24.48% on LongMemEval with aggregate accuracy parity, and by 5.9% on Synthetic Graph World while reducing bottom-half tail prediction error by 13.6%. The practical takeaway is that agent memory retrieval should be audited for core–tail concentration, because semantic policies can overuse a small memory core and silently accumulate errors on rare states; allocating context by retrieval rank while retaining summarized tail state can reduce cost without sacrificing coverage.