If submitting to ArXiv, use scripts to "flatten" your directory structure and remove unused files. Ensure all LaTeX dependencies are included in a final .zip or .tar.gz archive.

Describe the tools (e.g., Python, LaTeX) and specific scripts found in the archive.

Check for folders like scripts/ or src/ to identify the methodology used in the project.

Before writing, you must understand what the .zip file contains.

Interpret the results and suggest future work. 3. Submission Preparation

Look for data/ (raw data) and data_output/ (processed results) to form the basis of your Results section.

A concise summary of the project’s goal, methods, and key results.

Ensure any software used in the "summersmithy" project is cited and listed in a requirements file.