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- license: mit
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+ license: mit
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+ ---
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+ # Datasets used in 'Verification of the Implicit World Model in a Generative Model via Adversarial Sequences' (ICLR 2026).
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+ This repo contains 6 datasets of chess games in the UCI notation that were used in the experiments of the paper.
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+ The `vocab` folder contains the vocabulary used in our language modeling tasks.
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+
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+ ## Links
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+
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+ Paper links:
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+ arXiv: [https://arxiv.org/abs/2602.05903](https://arxiv.org/abs/2602.05903)
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+ HuggingFace: [https://huggingface.co/papers/2602.05903](https://huggingface.co/papers/2602.05903)
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+
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+ All corresponding code and links to further resources are available at [https://github.com/szegedai/world-model-verification](https://github.com/szegedai/world-model-verification)
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+
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+ ## Citation
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+
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+ If you use our code, models, or datasets, please cite the following:
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+ ```
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+ @inproceedings{
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+ balogh2026verification,
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+ title={Verification of the Implicit World Model in a Generative Model via Adversarial Sequences},
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+ author={Andr{\'a}s Balogh and M{\'a}rk Jelasity},
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+ booktitle={The Fourteenth International Conference on Learning Representations},
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+ year={2026},
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+ url={https://openreview.net/forum?id=BLOIB8CwBI}
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+ }
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+ ```