Review possible WAM paper: 4D-WAM: Infusing Spatiotemporal Awareness into World Action Models through Trajectory Fields

[279object]

Paper

• Title: 4D-WAM: Infusing Spatiotemporal Awareness into World Action Models through Trajectory Fields
• Short name: 4D-WAM
• arXiv ID: 2608.08023v1
• Paper: https://arxiv.org/pdf/2608.08023
• Authors: Lishan Yang, Wenxuan Song, Xi Wang, Pingyue Sheng, Zheng Fang, Ziyang Zhou, Junjie He, Haodong Yan, Jiayi Chen, Nan Sun, Qiao Sun, Lingqiao Liu, Yan Wang, Yuxiang Gao, Feras Dayoub, Haoang Li
• Published: 2026-08-08
• arXiv categories: cs.RO
• Matched keywords: WAM, world action model, world action models

README Entry

- **4D-WAM**: "4D-WAM: Infusing Spatiotemporal Awareness into World Action Models through Trajectory Fields", arXiv 2026. ![](https://img.shields.io/badge/Needs--Taxonomy--Review-64748b)
  [[📄 Paper](https://arxiv.org/pdf/2608.08023)]

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: LLM request failed: HTTP 404:

<title>404 Not Found</title>

404 Not Found

---

nginx

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