Worked on the Jij-Inc/ommx repository to enhance the accuracy and reliability of user-facing documentation, focusing on the TSP sampling tutorial. Addressed a critical issue by correcting the lambda parameter in the tutorial notebook, updating its value from 1.0 to 20.0 to accurately reflect the intended use of the uniform_penalty_method. This change ensured that the tutorial’s instructions aligned with the actual implementation, improving onboarding for new users. The work primarily involved editing Jupyter Notebook files and refining documentation, emphasizing clarity and correctness rather than adding new features. Demonstrated attention to detail and a methodical approach to documentation quality.