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#artificial intelligence Preprint Sep 2026

STEPQuant: When and Where Errors Matter in Delta-Rule Recurrent State Quantization

Linear attention replaces growing KV caches with fixed-size recurrent states, yet these persistent states can become a substantial memory bottleneck under concurrent serving. Directly quantizing recurrent states to low precision often leads to severe accuracy degradation, as quantization errors propagate through succes...

Bing-Chen Yao, Hao-Bo Xu, Hao-Kun Lin et al. · 0 citations

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