Unverified50% confidenceFactExact time
In dense models, the computation of the verification window is approximately linear in the number of tokens, because all tokens share the same set of weights.
1
Sources
50%
Confidence
Long-term
Relevance
10/29/2026
First Seen
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Related Claims
UnverifiedThe time cost for the main model to verify N tokens in parallel is almost the same as verifying 1 token, and the overall throughput improves linearly with the draft model's hit rate.70% similarUnverifiedThe VRAM occupied by the context window is calculated separately from the model weights, and KV cache VRAM usage grows linearly with context length.66% similarUnverified上下文窗口的质量直接决定模型输出质量，同一模型在不同集成环境下表现可能天壤之别66% similarUnverified一致性正则化的基本假设是对同一输入样本施加不同扰动时模型输出应保持一致65% similarUnverifiedUnder lossless verification, speculative decoding's output distribution is exactly identical to that of the target model, so the number of accepted tokens per round can reflect the true speedup ratio.65% similar
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