Worked on enhancing documentation quality and citation accuracy for the PriorLabs/tabpfn-extensions repository, focusing on the Shapiq library and its Interpretability extension. The primary contribution involved adding a new paper citation for Interpretable Machine Learning for TabPFN and refining BibTeX formatting to ensure consistent presentation in Markdown-based README files. Emphasis was placed on improving documentation hygiene, correcting typographical errors, and maintaining cross-repository consistency. Leveraged technical writing and documentation skills to strengthen research credibility and facilitate onboarding for users and contributors. No bug fixes were addressed during this period, as efforts centered exclusively on documentation clarity and maintainability.