review-paper-code

To check research code reproducibility and alignment with a LaTeX paper, you can automate the review process by providing the main .tex file and code directory. This validates code execution and ensures results match the methodology described in the paper.

Yes, you can review Stata, R, or Python code for academic research alignment. The review process supports these languages to ensure the codebase correctly implements the empirical claims and methodology described in your research paper.

The best way to automate code quality review for social science projects is using specialized review scripts that assess the codebase for maintainability and best practices. This generates a report detailing code quality alongside reproducibility checks.

Yes, paper-code alignment review requires access to both the LaTeX manuscript and the codebase. You need to pass the path to the main .tex file and the code directory as arguments to execute the automated validation process.

A key limitation when validating reproducibility for economics projects is that the review supports only Stata, R, or Python code alongside LaTeX papers. Codebases using unsupported languages or non-LaTeX manuscripts cannot be fully validated for alignment.