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Update the repository card citation using the official arXiv export for 2608.29601.

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  1. README.md +8 -6
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@@ -10,7 +10,7 @@ library_name: pytorch
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  # NeoForce: A Unified Force Tactile Representation Model
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- [Technical Report](https://research.neoteai.com/assets/n0-foundation-paper.pdf) 路 [Project Website](http://research.neoteai.com/n0-foundation) 路 [Code](https://github.com/SparkleXFantasy/N0-Foundation-Preview) 路 [OpenNeoData](https://huggingface.co/datasets/NeoteAIEmbodied/OpenNeoData)
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  Tactile hardware is fragmented, so a model built on one signal format is bound to the device that produced it. NeoForce instead describes every tactile observation as a **dense three-axis force field** over the sensing surface, capturing shear and pressure in a form that is physically grounded and shared across sensors, and learns a temporally structured representation on top of it.
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  ## Citation
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  ```bibtex
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- @misc{n0foundation,
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- title={N0-Foundation: Towards the Age of Tactile Intelligence},
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- author={NeoteAI Team and TEAI Team},
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  year={2026},
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- url={https://research.neoteai.com/assets/n0-foundation-paper.pdf},
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- note={Technical Report}
 
 
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  }
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  ```
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  # NeoForce: A Unified Force Tactile Representation Model
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+ [Paper (arXiv)](https://arxiv.org/abs/2608.29601) 路 [Project Website](http://research.neoteai.com/n0-foundation) 路 [Code](https://github.com/SparkleXFantasy/N0-Foundation-Preview) 路 [OpenNeoData](https://huggingface.co/datasets/NeoteAIEmbodied/OpenNeoData)
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  Tactile hardware is fragmented, so a model built on one signal format is bound to the device that produced it. NeoForce instead describes every tactile observation as a **dense three-axis force field** over the sensing surface, capturing shear and pressure in a form that is physically grounded and shared across sensors, and learns a temporally structured representation on top of it.
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  ## Citation
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  ```bibtex
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+ @misc{neoteaiteam2026n0foundationagetactileintelligence,
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+ title={$N_0$-Foundation: Towards the Age of Tactile Intelligence},
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+ author={NeoteAI Team and Fudan TEAI Team},
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  year={2026},
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+ eprint={2608.29601},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.RO},
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+ url={https://arxiv.org/abs/2608.29601},
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  }
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  ```
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