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LongForcing: Scaling Temporal Manifold Matching for Long-Horizon World Rollout
Autoregressive video diffusion models have emerged as a foundation for long-horizon world rollout. However, when extended far beyond their training windows, these models suffer from progressive drift: visual quality deteriorates, motion becomes inconsistent, and object identity gradually collapses a
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