🗑️ Trash & Restore — never lose a paper by accident
NewDeleted papers now go to a Trash you can restore from, with automatic cleanup after 30 days. Mistakes are finally undoable.
PaperLM is in active development. Here's what we've been shipping for ML researchers.
Deleted papers now go to a Trash you can restore from, with automatic cleanup after 30 days. Mistakes are finally undoable.
Chat now lets you pick the model, toggle live web search and URL context, and renders rich formatted answers — in a cleaner tabbed, expandable side rail. Ask harder questions, get better-grounded answers.
Choose exactly which Gemini model powers each stage of the pipeline — speed where you want it, maximum reasoning where it matters. Reruns now build on your latest edited review.
Save your favorite pipeline configurations as named, reusable templates. Set it up once, reuse it on every paper.
Spotted something off? A floating report button lets you flag it in seconds — and we triage it fast.
We rebuilt the backend on Go with a dedicated queue-based worker — analyses are faster, survive cold starts, and never get stuck or double-run. Failed stages now show clear, human-readable errors instead of cryptic codes.
Paid plans run pipeline stages in parallel — your full review, visuals, and social posts land dramatically faster.
Pick from curated visual style presets per language, or define your own. Make summaries that match your taste.
Analyze papers from custom PDF URLs, not just arXiv and OpenReview.
Reviews are now powered by versioned, tunable prompt bundles — more consistent, higher-quality output.
Read the paper side-by-side with its review, with inline highlights and annotations.
Talk to any paper, keep your own notes, and edit reviews with live preview — every change versioned so you can always go back.
Turn dense papers into shareable comic-panel summaries — perfect for slides and social.
Star, archive, and switch between list and card views with thumbnails. Build a knowledge base you'll actually revisit.
Full LaTeX math, rich markdown, and HTML rendering — papers look the way they should.
The first paper-analysis pipeline goes live — paste an arXiv link, get a structured, multi-agent review. From the creator of ArXivIQ (200+ AI paper reviews).
Join the waitlist and be first to try new features as they land.