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When Does Latent Prediction Error Support Physical Surprise Claims in Video World Models?

Paper recorded by Signals 4 on 2026-11-01 in cs.LG. Abstract reproduced from arXiv; link to the original below.

Published 2026-11-01 on arXiv · recorded by Signals 4 on 2026-11-03

Category: cs.LG · 机器学习 · first seen 2026-11-03

Abstract

Prediction errors from video world models are often treated as physical surprise, but they can also reflect appearance, static content, motion, or ordinary prediction difficulty. We present an evaluation framework that separates what frozen representations contain, how they organize appearance and physical differences, and what changes a model's own prediction error. On IntPhys2, a benchmark of ph

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#45 most recent of 703 cs.LG papers we have recorded · ↑ newer: ReFrame: Silence-Aware Compute Reclamation for Full-Duplex Speech Mode · ↓ older: Domain-Aware Hierarchical Federated Learning for UAV Swarms Across Het
Cite this page: When Does Latent Prediction Error Support Physical Surprise Claims in Video World Models?: the #45 most recent of 703 cs.LG papers we have recorded (as of 2026-11-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/when-does-latent-prediction-error-support-physical-surprise-claims-in-video-worl.html
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