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    Arxiv Sanity Preserver

    Arxiv Sanity Preserver

    Web interface for browsing, search and filtering arxiv submissions

    Arxiv Sanity Preserver is a web application for discovering, organizing, and filtering machine-learning research papers from arXiv. It was created to make the large daily flow of new submissions easier for researchers to manage. The backend downloads papers, extracts their text, creates thumbnails, and computes TF-IDF representations for similarity analysis. Users can search papers, find work similar to a selected paper, browse popular submissions, and maintain a personal library....
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