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Paper · arXiv

CacheReforge: Bounded Recovery for Stale KV Caches under Evolving Adapters

Large language models rely on KV caching to reduce repeated prefill computation in long context and interactive applications. As lightweight adapters evolve, cached states reflect earlier versions, so stale reuse distorts current model outputs, while complete affected suffix recomputation restores fidelity at substantial cost. We seek minimal recomputation that recovers current adapter behavior. Existing systems track token, context, or stable adapter identity, but neither represent caches from earlier adapter versions nor distinguish update propagation from the recomputation required for behavioral recovery. To address these gaps, we introduce CacheReforge, which represents stale KV cach...

AuthorsYuhang Cao, Yanzhou Mu, Chunrong Fang et al.
Primary categorycs.LG
Published25 September 2026
Last updated at source25 September 2026
cs.LG
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