LOCKS technique cuts KV cache reads 10x at 1M context

LOCKS uses per-page SVD to compress KV cache summaries, reducing memory reads by 10x at 1M token context. It avoids the structural failure of shared-basis methods like ShadowKV by storing page-specific centroids and singular vectors. The technique achieves theoretical guarantees on attention mass coverage while using only 10% of original data.