{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/litrepl-literate-paper-processor-promoting","title":"Litrepl: Literate Paper Processor Promoting Transparency More Than Reproducibility","arxiv_id":"2501.10738","date":"2025-01-18","proceeding":null,"authors":["Sergei Mironov"],"abstract":"Litrepl is a lightweight text processing tool designed to recognize and evaluate code sections within Markdown or Latex documents. This functionality is useful for both batch document section evaluation and interactive coding within a text editor, provided a straightforward integration is established. Inspired by Project Jupyter, Litrepl aims to facilitate the creation of research documents. In the light of recent developments in software deployment, however, we have shifted our focus from informal reproducibility to enhancing transparency in communication with programming language interpreters, by either eliminating or clearly exposing mutable states within the communication process.","url_abs":"https://arxiv.org/abs/2501.10738v1","url_pdf":"https://arxiv.org/pdf/2501.10738v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"litrepl-literate-paper-processor-promoting","repo_url":"https://github.com/sergei-mironov/litrepl","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}