Evidence · one of the 17 tools
Literature Finder
AI literature search across 250M+ papers
Literature Finder reaches your indexed corpus plus 250M+ works across OpenAlex, PubMed, Semantic Scholar, and arXiv in every relevance search, reranked into one list, with retraction and open-access signals on every result.
What Literature Finder does
Both scopes, one list
Internal corpus results and a live four-source sweep are cross-encoder reranked together. New external papers appear inline, ready to fetch and cite.
AI picks what to cite
'Write with this' recommendations judge which results the AI would actually cite for your manuscript, with a how-to-use reason on each pick.
Citation maps & related papers
See each paper's citation neighborhood and expand outward: discovery by graph, not just by keyword.
Honest result signals
Retracted papers are flagged red, open-access status is marked, and exact DOI lookups resolve straight to the one paper you meant.
Saved-search alerts
Save a query and new matching papers surface automatically, feeding your living review's screening queue.
Grounded by design
Search results are discovery only. Nothing becomes citable until its full text is held and verified.
Who Literature Finder is for
Students starting a literature review
One query reaches your own library and 250M+ works across four public sources, reranked into a single list.
Systematic reviewers
Retraction flags, open-access badges and citation graphs are attached to every result, so screening starts with the facts.
Anyone who has hit a wall with keyword search
Citation graphs surface the papers keyword search misses because the authors used different words.
How Literature Finder compares
- Google Scholar
- Broad, but no retraction flags, no open-access resolution, and nothing carries into your writing.
- A chatbot asked for papers
- Will confidently list papers that do not exist.
- Literature Finder
- Real indexed records from OpenAlex, PubMed, Semantic Scholar and arXiv, with the full text fetched where it is open access.
Related guides
How to search 250 million papers with the Literature Finder
Search your corpus and a live sweep of OpenAlex, PubMed, Semantic Scholar, and arXiv in one reranked list: semantic matching, exact DOI lookup, retraction and open-access badges, and saved-search alerts.
Find the right sources with citation maps and AI recommendations
Discover papers by relationship, not just keywords: read a citation map, snowball outward through citation-graph related papers, and let AI flag which results you would actually cite (with a groundability tier on each).
How to write a literature review in psychology
How to write a psychology literature review: PsycInfo searching, thematic structure, replication-aware synthesis, and AI grounded in real papers.
How to write a literature review in medicine
Write a medical literature review examiners trust: pick the review type, build a PICO search, appraise study designs, and synthesise by outcome.
CiteDash vs Elicit: which should you use for your thesis?
CiteDash vs Elicit compared for graduate students: where Elicit's extraction tables shine, and where verified citations and a full thesis workflow win.
Literature Finder questions
How does AI literature search differ from Google Scholar?
Every search runs over your own indexed corpus plus a live sweep of OpenAlex, PubMed, Semantic Scholar and arXiv, reranked into one list, with citation graphs, retraction flags and open-access badges attached.
How many papers can it search?
Over 250 million works across the four public sources, plus whatever you have uploaded to your own library.
Does it fetch the full text?
Open-access PDFs are fetched automatically. For anything else you can upload the PDF and it is parsed and indexed the same way.