Update README.md

README.md

@@ -99,8 +99,11 @@ For Python and Java evaluation, we use a double time limit.
 
 The benchmark kits follow the [testlib](https://github.com/MikeMirzayanov/testlib) pipeline in validation and evaluation. There is a validator for each problem to check test case integrity, and a specific checker to verify output correctness.
 
-The rating evaluation follows [CodeELO](https://arxiv.org/abs/2501.01257) methodology. For pass@8 metrics, we calculate the expected score across 8 tries for each problem, with a fail-penalty but no submission-time-penalty. While this approach deviates from empirical competitive scenarios and may result in ratings that are not directly comparable to human participants, it provides a standardized benchmark for consistent cross-model comparison.
+The rating evaluation follows [CodeELO](https://github.com/QwenLM/CodeElo) methodology. For pass@8 metrics, we calculate the expected score across 8 tries for each problem, with a fail-penalty but no submission-time-penalty. While this approach deviates from empirical competitive scenarios and may result in ratings that are not directly comparable to human participants, it provides a standardized benchmark for consistent cross-model comparison.
 
 ## License
 
 We are releasing the benchmark under the Creative Commons Attribution 4.0 International (CC-BY-4.0) license.
+
+## Citation
+Please cite [Step-3.5-Flash](https://github.com/stepfun-ai/Step-3.5-Flash).