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Read arXiv new-submission pages with labels for AI and human-written abstracts. Read arXiv’s new-submission pages with labels for AI and human-written abstracts. Abstract Lens adds a small colored tag to each submission: "Human" (green), "AI" (red), or "Mixed" (yellow). This comes from GPTZero’s analysis of the abstract. Click on a tag to see classification probabilities and confidence. # Notes • Just abstracts: no PDFs or full manuscripts are analyzed. • No personal account needed. • Works on arXiv new-submission pages in Chrome and Brave. # About Permissions • Permissions limited to arxiv.org new-submission pages (the narrowest possible to make this extension work). • Chrome asks for permissions to “read and change your data on arxiv.org” so it can add the classification tags to the page. It does not modify anything else on this or any other page. An automated estimate is not proof of AI or human authorship. Labels are generated only from the abstract, not the full paper. No judgement is made on scientific quality of any paper. Abstract Lens is independently developed. It is not affiliated with or endorsed by arXiv or GPTZero.
Sep 15, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.