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CSWAM: Better Causal Semantic Representations for Out-of-Distribution Generalization in World Action Models
FastWAM-style world action models enable efficient action-only inference, but generalize poorly under visual distribution shifts. Their reconstruction-oriented representations emphasize appearance-specific details, limiting generalization to unseen scenes and objects. Without observation history, th
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