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lichess.bib

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@@ -493,6 +493,16 @@ @misc{hull:2025:beyond-evaluation-learning-contextual-chess-position-representat
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howpublished = {Accessed via \url{[https://bluehood.github.io/](https://bluehood.github.io/)}},
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}
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@misc{hwang:2025:can-large-language-models-develop-strategic-reasoning-post-training-insights-learning-chess,
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title = {Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess},
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author = {Dongyoon Hwang and Hojoon Lee and Jaegul Choo and Dongmin Park and Jongho Park},
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year = {2025},
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url = {https://arxiv.org/abs/2507.00726},
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eprint = {2507.00726},
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archiveprefix = {arXiv},
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primaryclass = {cs.AI},
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}
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@inproceedings{iavich:2024:detecting-fair-play-violations-chess-neural-networks,
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title = {Detecting Fair Play Violations in Chess Using Neural Networks},
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author = {Iavich, Maksim and Kevanishvili, Zura},

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