arxivcs.LGcs.AI2026-07-10
Codec-Gauge: Learning Compression-Friendly Gauges for Transformer KV Caches
Yitao Jiang, Yaoqing Yang, Luyang Zhao, Muhao Chen, Devin Balkcom
Long-context Transformer inference increasingly relies on KV-cache compression or quantization. Prior rotation and transform-coding results suggest that the channel basis of each key/value vector affects how faithfully a fixed backend preserves model behavior. We introduce Codec-…