During June 2025, Apn193 focused on enhancing the documentation quality for the microsoft/LightGBM repository. They addressed a broken hyperlink in both the README and Features documentation, which previously hindered user access to a foundational research paper on parallel algorithms for decision trees. By updating the link using Markdown and RST, Apn193 improved the reliability and accuracy of the documentation, ensuring that researchers and practitioners could easily reference the correct source. This targeted fix reduced potential confusion and support queries, demonstrating careful attention to documentation integrity. The work reflected a focused, detail-oriented approach to maintaining open-source project resources.