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HLA-WM: Hybrid Linear Attention for Long-Horizon Video World Models
Long-horizon video world models require persistent memory to preserve scene consistency over extended rollouts. Softmax attention retains the full generation history through a growing KV cache, whereas recurrent linear attention compresses history into fixed-size states with substantially lower memo
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