Review possible WAM paper: ConfAL-WM: Confidence-Guided Active Learning for Action-Conditioned World Models

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Paper

• Title: ConfAL-WM: Confidence-Guided Active Learning for Action-Conditioned World Models
• Short name: ConfAL-WM
• arXiv ID: 2608.25572v1
• Paper: https://arxiv.org/pdf/2608.25572
• Authors: Xiang Liu, Sen Cui, Changshui Zhang
• Published: 2026-08-26
• arXiv categories: cs.RO, cs.AI
• Matched keywords: embodied world model, embodied world models

README Entry

- **ConfAL-WM**: "ConfAL-WM: Confidence-Guided Active Learning for Action-Conditioned World Models", arXiv 2026. ![](https://img.shields.io/badge/Needs--Taxonomy--Review-64748b)
  [[📄 Paper](https://arxiv.org/pdf/2608.25572)]

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 522:

Evidence

• embodied world model
• embodied world 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