Review possible WAM paper: Enfold: Folding World-Generator Computation into Predictive Representations for Efficient Embodied Control

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Paper

• Title: Enfold: Folding World-Generator Computation into Predictive Representations for Efficient Embodied Control
• Short name: Enfold
• arXiv ID: 2607.26657v1
• Paper: https://arxiv.org/pdf/2607.26657
• Authors: Weili Zeng, Yitong Xing, Fulong Liu, Chengqun Yang, Antao Xiang, Feng Tian, Jingnan Gao, Jisong Cai, Xin Wang, Xiaomin Wu, Yao Mu, Yichao Yan
• Published: 2026-07-29
• arXiv categories: cs.RO
• Matched keywords: WAM

README Entry

- **Enfold**: "Enfold: Folding World-Generator Computation into Predictive Representations for Efficient Embodied Control", arXiv 2026. ![](https://img.shields.io/badge/Needs--Taxonomy--Review-64748b)
  [[📄 Paper](https://arxiv.org/pdf/2607.26657)]

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

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