During January 2026, Pang Tian worked on the ultralytics/ultralytics repository, focusing on improving the reliability and accuracy of model evaluation workflows. He addressed a critical bug in the bounding box stride reference within task-aligned metric calculations, ensuring that stride indexing in select_candidates_in_gts used the correct values. This fix, implemented in Python with PyTorch, enhanced the consistency of evaluation metrics for computer vision models. Pang Tian collaborated with other contributors to validate the changes against existing tests and benchmarks, reducing the risk of misreported results. His efforts prioritized maintainability and laid a foundation for future improvements in benchmarking accuracy.