docs: add linked FastH3 acknowledgements

README.md

@@ -99,3 +99,11 @@ acceptable-use terms) before use or redistribution.
   packaged here; its entry in `modular_model_index.json` points at the base
   `MiniMaxAI/MiniMax-H3` repo and is fetched from there if used. This preview
   distills the text-to-video+audio path only.
+
+## Acknowledgements
+
+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.
+
+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.
+
+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).