Problem solved

Researchers often struggle to stay current with rapidly growing literature, relying on keyword searches that may miss relevant papers or require constant manual checks. arXscope solves this by letting researchers use their own papers as a seed to find related preprints automatically. It helps users discover potentially citing work early, track recent developments in their field, and organize literature with minimal effort, reducing time spent on literature surveillance.

Use cases

• Upload a research paper to receive a daily feed of the most similar new preprints on arXiv
• Create a collection for a specific project or topic to monitor related preprints regularly
• Set up email alerts for a collection to get weekly summaries of new relevant papers
• Discover which recent preprints might cite a researcher's own published work by using that paper as a search seed
• Collaborate with team members by sharing collections of saved papers and exploring related literature together

Audience

• Researchers
• Data Scientists
• ML Engineers

Pros

• No keywords needed – just upload a paper to find related work
• Automated daily updates from arXiv's latest preprints
• Personal and shared collections for organizing papers
• Email alerting reduces need for manual checking
• Free to use

Cons

• Limited to papers from the last 30 days
• Only indexes arXiv, missing other preprint servers or published literature
• Lacks advanced filtering or manual curation options beyond similarity