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docs: add linked FastH3 acknowledgements

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@@ -78,3 +78,11 @@ count must divide H3's 56 attention heads.
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  The VSA launchers select VSA-H3 automatically; the dense launcher disables it.
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  This preview is for text-to-audio-video generation and inherits the
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  [MiniMax H3 Community License](LICENSE).
 
 
 
 
 
 
 
 
 
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  The VSA launchers select VSA-H3 automatically; the dense launcher disables it.
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  This preview is for text-to-audio-video generation and inherits the
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  [MiniMax H3 Community License](LICENSE).
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+ ## Acknowledgements
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+ We thank [Nuva Lab](https://nuvalab.ai/) for bringing production grounding to FastH3 through its experience with real-world creative video-agent workloads. Its production-aligned post-training insights help bridge open-source research to practical data-assisted distillation for commercial video workflows, with Omni Ref as the next focus.
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+ We thank the [NVIDIA FastGen](https://github.com/NVlabs/FastGen) team for the [DMD2](https://arxiv.org/abs/2405.14867) framework and H3 reference experiment that helped us align the score clock, modality shifts, and backward simulation.
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+ We also thank [MiniMax](https://huggingface.co/MiniMaxAI/MiniMax-H3) for releasing H3-Base, and the [vLLM project](https://vllm.ai/), [NVIDIA](https://www.nvidia.com/en-us/), and [MBZUAI](https://mbzuai.ac.ae/) for their continued sponsorship and support of [FastVideo](https://github.com/hao-ai-lab/FastVideo).