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How Many Candidates Does a One-Step World Model Need? A Random-Codebook Account

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This paper investigates the number of candidate futures required for one-step stochastic world models using nearest-of-m matching (IMLE) on frozen DINOv2/v3 patch tokens.

Generated from attributed reports · Updated 4 hours ago

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Latest development2026-11-10 05:00 UTC
How Many Candidates Does a One-Step World Model Need? A Random-Codebook Account of Nearest-of-m Training on Frozen DINO Tokens

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11/10
  1. arXiv Robotics — research abstractsSignal
    How Many Candidates Does a One-Step World Model Need? A Random-Codebook Account of Nearest-of-m Training on Frozen DINO Tokens

    This paper investigates the number of candidate futures required for one-step stochastic world models using nearest-of-m matching (IMLE) on frozen DINOv2/v3 patch tokens.

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