Review possible WAM paper: LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation

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Paper

• Title: LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation
• Short name: LiLa-WAM
• arXiv ID: 2608.03701v1
• Paper: https://arxiv.org/pdf/2608.03701
• Authors: Fan Yang, Yuting Su, Xiaobo Wang, Yuncheng You, Fugui Fan, Yuting Wu, Minghui Wu, Chenxu Zhao, JiaHong Ning, Peiguang Jing
• Published: 2026-08-04
• arXiv categories: cs.RO, cs.AI
• Matched keywords: WAM, world-action model

README Entry

- **LiLa-WAM**: "LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation", arXiv 2026. ![](https://img.shields.io/badge/Needs--Taxonomy--Review-64748b)
  [[📄 Paper](https://arxiv.org/pdf/2608.03701)]

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

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