Review possible WAM paper: Robust-WAM: Bridging Generative Pretraining and Semantic Foresight in World-Action Models

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Paper

• Title: Robust-WAM: Bridging Generative Pretraining and Semantic Foresight in World-Action Models
• Short name: Robust-WAM
• arXiv ID: 2608.05903v1
• Paper: https://arxiv.org/pdf/2608.05903
• Authors: Haodong Yan, Junfeng Li, Junjie He, Zhide Zhong, MingMing Yu, Wenxuan Song, Jiaguan Zhu, Yangyang Zheng, Yuqiao Du, Jiadi You, Yingjie Cai, Xu Yan, Guanyi Zhao, Bingbing Liu, Haoang Li
• Published: 2026-08-06
• arXiv categories: cs.CV, cs.RO
• Matched keywords: WAM, world-action model, world-action models

README Entry

- **Robust-WAM**: "Robust-WAM: Bridging Generative Pretraining and Semantic Foresight in World-Action Models", arXiv 2026. ![](https://img.shields.io/badge/Needs--Taxonomy--Review-64748b)
  [[📄 Paper](https://arxiv.org/pdf/2608.05903)]

Robot Decision

• Decision: pending
• Confidence: unknown
• Taxonomy: None
• Taxonomy confidence: None
• README heading: ## World Action Model
• Badges: https://img.shields.io/badge/Needs--Taxonomy--Review-64748b

Reason

LLM WAM detection failed: Remote end closed connection without response

Evidence

• WAM
• world-action model
• world-action models

Needs taxonomy review: fallback README heading/badge was used because taxonomy.toml has no README mapping for this classification.

Human Review Checklist

• This paper belongs in the WAM survey
• README section is correct
• Badges are correct
• Short name is correct
• Paper link is correct
• Merge this PR if accepted