draft-augmented

Dustin introduces a sparse verification framework for speculative decoding that leverages draft model signals and sparse attention head scoring to overcome the KV cache verification bottleneck, achieving up to 27.85x speedup in self-attention and 9.17x end-to-end decoding speedup on long-context tasks with negligible accuracy loss.