Submit a topic.
Get a review you can verify.
ScoutLit retrieves papers from arXiv and Semantic Scholar, synthesizes a structured literature review with inline citations, and shows you the sources behind each section — so you can inspect, not just read.
From topic to traceable review
No manual database searching. No copying abstracts into a chatbot. ScoutLit runs the full retrieval-to-synthesis pipeline and hands you something you can actually work with.
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01SearchAny research question or keyword. ScoutLit handles the search strategy.
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02RetrieveConcurrent arXiv + Semantic Scholar fetch, deduplicated by DOI and title.
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03ClassifyEach paper labeled Seminal, Foundational, Recent, or General — no LLM needed.
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04SynthesizeStructured review with inline [Author et al., Year] citations and research gaps.
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05EvaluateGroundedness scored 0–100. Unsupported sentences flagged explicitly.
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06ContinueInspect cited sources, refine your review, export your work, and return to it later from any device.
The transformer architecture, introduced by [Vaswani et al., 2017], replaced recurrent networks with self-attention, enabling parallelization across sequence positions. Scaled dot-product attention computes compatibility between query and key vectors [Vaswani et al., 2017], producing weighted sums of value representations [Brown et al., 2020].
Know what the AI based it on
Most AI writing tools give you output without attribution. ScoutLit is built around the opposite: inline citations connect review content to retrieved papers, a groundedness score tells you what fraction of sentences are supported, and flagged sentences show exactly where the model went beyond the source material. Browse the cited sources for each section without leaving the review.
This isn't just a transparency feature. It's how you decide whether to trust the review.
- Inline citations connect review content to retrieved papers
- Unsupported sentences flagged, not hidden
- 0–100 groundedness score per review
Tested with researchers
In ScoutLit's first researcher pilot, participants responded positively to the product's usefulness, source-inspection experience, and potential for continued use. Their feedback is also shaping improvements to retrieval precision and performance.
Built for people who work with research literature
Built for research you need to stand behind.
Graduate students & faculty
Conducting literature reviews for dissertations, grant applications, or research area exploration. Needs traceable citations, not plausible-sounding summaries.
Librarians & research teams
Research librarians, coordinators, and evidence synthesis teams who help researchers navigate and synthesize academic literature efficiently.
Industry researchers
Technical teams who need to survey the academic literature before building — without a dedicated research librarian or weeks of manual searching.
Analysts & strategists
Policy analysts, think tanks, and strategy teams who need evidence-grounded literature coverage to inform decisions and public-facing documents.
Research with confidence
ScoutLit is in private beta.
We're working with a small group of researchers and research professionals to refine ScoutLit before broader availability. Apply to join the private beta and help shape how ScoutLit supports evidence-accountable research.
- Currently available by invitation