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Mamba's Memory Problem

LLMs Research
February 2, 2026
Introduction

Full credit goes to the original author, linked below. All blog posts were reposted either with permission of the author, or by anonymous submission by SAIRC members like yourself.

State space models like Mamba achieve linear compute and constant memory, but consistently struggle to recall specific details from early in a long context. This post explains why that failure mode follows directly from the fixed-size state that makes SSMs efficient, and surveys three ICLR 2026 papers that independently attack the same limitation — a convergence that suggests the problem is fundamental.

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