Beyond Parallel Blindness: Information Floors and Model Gaps in Block Drafting
Abstract
Block drafters propose several tokens in one forward pass, before earlier target tokens are realised. Their rejection mixes two losses: missing within-block path information and imperfect modelling of observable information. Accepted length cannot distinguish them. We separate the two with an information floor, the minimum expected rejection at a specified conditioning order; rejection above this floor is the model gap. Estimating both from target rollouts across four domains, four open-weight t...
Description / Details
Block drafters propose several tokens in one forward pass, before earlier target tokens are realised. Their rejection mixes two losses: missing within-block path information and imperfect modelling of observable information. Accepted length cannot distinguish them. We separate the two with an information floor, the minimum expected rejection at a specified conditioning order; rejection above this floor is the model gap. Estimating both from target rollouts across four domains, four open-weight targets, and a frontier API target yields three findings. First, the all-parallel floor reaches at the final slot on Qwen3-4B, limiting even the best proposal to per-slot acceptance. Second, one realised token removes -- of this floor, a locality also recovered by an independent mutual-information analysis. Third, current drafters remain far above their floors: the final-slot model gap accounts for -- of DFlash rejection and -- of DSpark's oracle-conditioned rejection. These findings separate the value of short-range conditioning from proposal quality.
Source: arXiv:2608.27339v1 - http://arxiv.org/abs/2608.27339v1 PDF: https://arxiv.org/pdf/2608.27339v1 Original Link: http://arxiv.org/abs/2608.27339v1
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Aug 28, 2026
Data Science
Machine Learning
0