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This work intervenes directly on state credit and proposes Credit Stabilization through Time (CST), which locally rescales the state-credit signal to stabilize its norm without rotating the component being corrected, while leaving the forward computation unchanged.
This paper investigates the connection between self-supervised spectral representation learning and diffusion generative models through a shared perspective on perturbation kernels and finds that the optimization of the spectral alignment objective is in an equivalent form of diffusion score distillation in the represe...
This work introduces a novel camera conditioning with a dense coordinate field whose renderings provide spatially aligned motion and orientation cues, allowing the model to interpret camera motion directly as visual evidence, regardless of actual context length.
Chimera, a hybrid visual diffusion backbone with a principled scaling recipe that combines Kimi Delta Attention for long-context state tracking with O(N) complexity, interleaved Multi-head Latent Attention (MLA) for direct global interaction, and modality-aware short convolutions for local spatiotemporal context is int...
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