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WorldAttention proposes an efficient attention architecture with Hybrid Sparse Attention and Hierarchical KV Cache for interactive video world models, achieving state-of-the-art performance on benchmarks like VBench-Long and InterVBench.
SolarWM introduces an open framework and unified training recipe for building interactive video world models with scalable training across diverse data sources, enabling long-horizon real-time rollouts.