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News/Looped Latent Attention: Cross-Loop KV Compression for Looped Transformers
arxiv
PublishedJuly 20, 2026 at 4:00 AM
—neutral

Looped Latent Attention: Cross-Loop KV Compression for Looped Transformers

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Publisher summary· verbatim

arXiv:2607.15456v1 Announce Type: cross Abstract: Looped, weight-tied Transformers reduce parameters by reusing a block, but decoding still stores a separate K/V cache for every recurrence step. We show that this loop-indexed cache is highly structured. For a fixed token, layer and head, K/V vectors

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