arXiv: cs.AI preprintsInternational5 November 2026
D3D: Decoupled Diffusion Drafting for Asynchronous Speculative Decoding
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arXiv:2611.06425v1 Announce Type: new Abstract: Target-conditioned diffusion drafters predict candidate tokens in parallel, yet each new block must wait for updated target-model hidden states. This forces drafting and verification to run sequentially, limiting speedup even though each block is generated in one pass. We introduce D3D, a standalone diffusion drafter that removes this inter-round dependency. D3D combines blockwise denoising with auxiliary autoregressive supervision to achieve long accepted prefixes without target hidden states. This independence lets D3D draft successor blocks du
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