Semantic paper search
Search across about 148 million academic papers using semantic matching, so queries can find related work even when the wording differs.
cito
ClaimCito is a programmatic search service for academic papers with semantic and keyword search across a local corpus of 148 million papers.
Academic paper search over a large local corpus
Cito is a fast programmatic search service for academic literature. It searches a local corpus of roughly 148 million papers and combines semantic and keyword retrieval into one ranked result set, so users can find papers by meaning as well as by exact terms.
The product is aimed at people who need reliable paper discovery through an API rather than a browser search box. Because the corpus is self-hosted, Cito does not inherit upstream rate limits at query time, and the results are generated from its own indexes for reproducible behavior.
Core capabilities
Keyword retrieval
Match exact terms, jargon, authors, and acronyms with BM25 search over titles and abstracts, which helps narrow down precise paper references.
Hybrid result ranking
Combine semantic and keyword rankings with reciprocal-rank fusion, giving weight to papers that score well in both systems.
Query mode control
Use only the semantic retriever or only the keyword retriever when a workflow calls for one mode; the docs expose mode=semantic and mode=keyword.
Deterministic, local indexing
Get reproducible ordering from the same query and corpus snapshot, with no third-party API calls at query time.
Result metadata and source links
Receive structured paper metadata and direct open-access PDF links when available, instead of a full-text hosting layer.
Practical use cases
Concept-based literature discovery
Look up a landmark paper or a topic area by concept rather than exact wording, which is useful when you only know the idea behind the work.
Exact-term and jargon lookup
Search for papers that mention a specific method, acronym, model name, or author term and want exact lexical matches to surface alongside related semantic results.
Programmatic paper search
Build a research or discovery feature into an application using the API, with reproducible ranking from a fixed corpus snapshot.
Paper triage and reading workflow
Move from a search result to the source paper by using the provided metadata and open-access PDF link when one exists.
Commercial or research redistribution
Use the licensing terms and attribution guidance to republish search results in a product, dataset, or paper without guessing about data rights.
Pros and Cons
Pros
- Combines semantic and keyword search in one system, which can support broader discovery and exact-term lookup in the same query.
- Uses a self-hosted corpus and local indexes, which the docs say avoids upstream API rate limits during query time.
- Provides deterministic ordering for the same query against the same snapshot, which helps with repeatable research workflows.
- Shows result metadata plus open-access PDF links when available, making it easier to move from discovery to reading.
- Built on openly licensed data and documents downstream attribution requirements clearly.
Cons
- The public docs and pages do not show pricing details on the provided pricing URL, so cost information is not available here.
- Cito serves metadata and links, not hosted full text; users still need to follow the source publisher or repository for the paper itself.
- The product surface in the collected evidence is centered on search and API usage, so broader workflow features such as team collaboration or integrations are not documented in the available sources.
FAQ
What does Cito do?
Cito is a programmatic search service for academic literature. It combines semantic search and keyword search over a local corpus of roughly 148 million papers, then fuses the results into one ranked list.
How does search work?
The docs say Cito uses SPECTER2 for semantic retrieval and BM25 over titles and abstracts for keyword retrieval. You can also run either mode alone with mode=semantic or mode=keyword.
What information does a result include?
Cito returns metadata such as title, authors, venue, publication date, DOI, citation count, and abstract when available. When an open-access copy exists, it also includes a direct PDF link to the source host.
Can I use Cito results in commercial work?
Yes. The licensing page states that Cito is built on openly licensed scholarly data and that you may use results in commercial products, research, and publications, as long as you keep the required attribution string from API responses: “Data from Semantic Scholar”.
Does Cito host the full text of papers?
Cito does not proxy or re-host full text. PDF links point to the original publisher or repository, and any use of a downloaded PDF is governed by that origin's terms.
Quick Facts
- Category
- Developer Tool
- Primary use
- Semantic and keyword search for academic papers
- Corpus size
- ~148 million papers
- Data sources
- Semantic Scholar and OpenAlex
- Query behavior
- Local indexes with hybrid ranking
- Licensing
- Openly licensed scholarly data; attribution required for redistributed results
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