Paste a paper. Get a personalized reading path that traces every prerequisite, from the papers it builds on down to the math concepts behind them. Check off what you know; the path recalculates.
Prereq isn't live yet. Once enough readers join, we start building. First 100 signups get 3 months of Pro free.
The papers band of the demo path below, drawn as the product draws it.
Not because you can't learn it, but because nobody tells you what to learn first. Google Scholar gives you 40 related papers. ChatGPT gives you a summary. Neither gives you a path.
DOI, arXiv link, or title. We resolve it against the full scholarly citation graph (250M+ works).
Prerequisite papers and textbook concepts (KL divergence, Sobolev spaces, subgradients), drawn as a subway-style roadmap, not a flat list. The whole route at a glance.
Click a node to mark it done. Completed steps dim; what's left stays lit. The path recalculates from your knowledge frontier; you never re-read what you've mastered.
Paper ordering: actual output from our OpenAlex-based prototype (abridged). Concept steps: from our prerequisite graph for math & statistics (expert-calibrated, refined by feedback).
Citation-graph tools (Connected Papers, Litmaps) show you maps: beautiful, and useless for deciding what to read first. Prereq gives you a route, built on the full open citation graph, plus a prerequisite graph for math and statistics where every edge carries a verification status (expert-checked, community-confirmed, or draft) instead of being scraped and trusted blindly.
Not yet. This page is how we decide to build it. A working prototype already generates the paper paths you see above, but the product itself isn't built. Once enough readers join the waitlist, we start building; everyone on the list gets access at launch, and the first 100 get 3 months of Pro free. You'll receive launch news only, no spam.
No. We don't summarize papers; we sequence them. Prereq tells you the order in which to read things, given what you already know.
Papers from ML/AI, statistics, mathematics, and physics work best today. The concept layer covers mathematics and statistics first; more domains follow.
The open OpenAlex citation graph (250M+ scholarly works), plus our own prerequisite graph for math & statistics. Edges are drafted with LLMs, calibrated against hand-verified reference topics, and labeled with their verification status; user feedback promotes or removes edges over time.
First 100 signups get 3 months of Pro free.
We're validating demand before we build. Your signup is the vote that gets it built. The first 100 signups get 3 months of Pro free at launch.