# ARC-Bench: Closed-Loop Replanning Masks Broken Action Ranking in Frozen JEPA World Models

> 标题为英语

> 全文为英语

**Published:** 2026年9月9日
**Author:** Zhengshu Zhang, Zhiyuan Li
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/zh/articles/arc-bench-closed-loop-replanning-masks-broken-action-ranking-in-frozen-j

arXiv:2609.05461v1 Announce Type: new Abstract: Reward-free latent world models plan by scoring candidate actions with distances in a frozen latent space: an action is preferred if its predicted future embedding lands closer to the goal embedding. This silently assumes that…

> 内容来自原始来源： **arXiv — cs.AI**
> [在 arXiv — cs.AI 阅读全文](https://arxiv.org/abs/2609.05461)

**标签：** #arXiv

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