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Add pipeline tag, links to paper, project page and code

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Hi, I'm Niels from the community team at Hugging Face.

This PR improves the model card for the MNIST World models by:
- Adding the `image-to-video` pipeline tag to the metadata.
- Including links to the [research paper](https://huggingface.co/papers/2601.01075), [project website](https://flowequivariantworldmodels.github.io/), and the [official GitHub repository](https://github.com/hlillemark/flowm).
- Adding a BibTeX citation for the work.

Feel free to merge if this looks good!

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  1. README.md +30 -6
README.md CHANGED
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  # MNIST World Models
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- This repository hosts a curated set of checkpoints used for experiments of FloWM: https://huggingface.co/papers/2601.01075.
 
 
 
 
 
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  ## Contents
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- - `mnistworld/dfot/dynamic_po.ckpt` mnistworld dfot dynamic_po
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- - `mnistworld/dfot-ssm/dynamic_po.ckpt` — mnistworld dfot-ssm dynamic_po
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- - `mnistworld/flowm-fernn/dynamic_po_flowm.pt` — mnistworld flowm (fernn) dynamic_po_flowm
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- - `mnistworld/vae/mnist_world_vae.ckpt` — mnistworld vae
 
 
 
 
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- Hub: https://huggingface.co/flowm123/mnistworld-models
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ pipeline_tag: image-to-video
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+ ---
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+
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  # MNIST World Models
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+ This repository hosts a curated set of checkpoints used for experiments in the paper [Flow Equivariant World Models: Memory for Partially Observed Dynamic Environments](https://huggingface.co/papers/2601.01075).
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+ [**Project Page**](https://flowequivariantworldmodels.github.io/) | [**GitHub**](https://github.com/hlillemark/flowm)
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+
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+ ## Description
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+ Flow Equivariant World Modeling (FloWM) is a framework that leverages time-parameterized symmetries within a latent memory for stable and accurate dynamics prediction over long horizons. The latent memory shifts and transforms equivariantly with self-motion and inferred external object motion, keeping information about out-of-view regions aligned as time progresses. These specific checkpoints correspond to the **MNIST World** (2D) environment benchmarks.
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  ## Contents
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+ This repository contains the following checkpoints:
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+ - `mnistworld/dfot/dynamic_po.ckpt` — MNIST World Diffusion Forcing Transformer (DFoT)
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+ - `mnistworld/dfot-ssm/dynamic_po.ckpt` — MNIST World Diffusion State Space Model (DFoT-SSM)
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+ - `mnistworld/flowm-fernn/dynamic_po_flowm.pt` — MNIST World FloWM (FERN-N)
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+ - `mnistworld/vae/mnist_world_vae.ckpt` — MNIST World VAE
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+
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+ ## Usage
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+ For detailed instructions on environment setup, training, and inference (including replicating the paper's results), please refer to the [official GitHub repository](https://github.com/hlillemark/flowm) and its [wiki](https://github.com/hlillemark/flowm/wiki).
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+ ## Citation
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+ ```bibtex
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+ @misc{lillemark2026flowequivariantworldmodels,
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+ title={Flow Equivariant World Models: Memory for Partially Observed Dynamic Environments},
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+ author={Hansen Jin Lillemark and Benhao Huang and Fangneng Zhan and Yilun Du and Thomas Anderson Keller},
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+ year={2026},
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+ eprint={2601.01075},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.LG},
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+ url={https://arxiv.org/abs/2601.01075},
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+ }
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+ ```