In January 2026, Minghao Liu enhanced the XENONnT/fuse repository by developing a waveform noise sampling improvement that introduced a noise offset into the waveform generation process. This feature, implemented in Python and leveraging data analysis and scientific computing techniques, addressed systematic bias in noise sampling, thereby improving the accuracy of data collection for downstream analyses and calibrations. Liu focused on integrating the noise modeling cleanly into the existing codebase, prioritizing feature delivery and code quality over bug fixes during this period. The work contributed to more reliable physics results by strengthening the integrity of waveform-based data within the project.