most citedFaST: Efficient and Effective Long-Horizon Forecasting for Large-Scale Spatial-Temporal Graphs via Mixture-of-Experts

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cs.RO2026

Remembering What Matters for Long-Horizon Robotic World Models

Hao Wu, Tianyu Shao, Shengju Qian +10

Autoregressive robot video world models based on discrete visual tokens remain unreliable over long rollout horizons. Retaining the entire generated history does not necessarily im…