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@@ -22,6 +22,7 @@ This is the repository of the optunahub Python Library to use packages published
 
 ## :loudspeaker: News
 
+* **Oct 7, 2025**: The paper [OptunaHub: A Platform for Black-Box Optimization](https://doi.org/10.48550/arXiv.2510.02798) has been in public on arXiv.
 * **Jan 22, 2025**: A new article [OptunaHub Benchmarks: A New Feature to Use/Register Various Benchmark Problems](https://medium.com/optuna/optunahub-benchmarks-a-new-feature-to-use-register-various-benchmark-problems-694401524ce0) has been published.
 * **Nov 6, 2024**: A new article [AutoSampler: Automatic Selection of Optimization Algorithms in Optuna](https://medium.com/optuna/autosampler-automatic-selection-of-optimization-algorithms-in-optuna-1443875fd8f9) has been published.
 * **Oct 21, 2024**: We posted [an article](https://medium.com/optuna/an-introduction-to-moea-d-and-examples-of-multi-objective-optimization-comparisons-8630565a4e89) introducing [MOEA/D](https://hub.optuna.org/samplers/moead/) and an example comparison with other optimization methods.