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Scite

by Scite

AI Application
Low Confidence

Scite is a research platform from Research Solutions that shows how scientific papers have been cited by later work, with an AI research assistant, citation-statement search, citation reports, collections, reference checking and an API and MCP server. Researchers, students, librarians, publishers and companies use it to see whether a finding has been supported or contested before citing it, to search inside full texts and to check a manuscript's references for retractions. The vendor says a deep learning model classifies more than 1.6 billion citation statements as supporting, contrasting or mentioning, and that Scite Assistant generates answers drawn from more than 323 million full-text articles, each linked to its source. The vendor says users can flag a misclassified citation, which at least two subject-matter experts then review.

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Transparency Score

Weighted across four pillars · updated October 19, 2026

Overall grade
42% weighted
ABCDF
Model
—
Not yet assessed
Infrastructure
—
Not yet assessed

Capabilities

Citation Classification
Citation Analysis
Literature Search
Answer Generation
Reference Checking

Vendor Information

Complete information about the vendor/provider of this AI application

SciteView all products →
Research Solutions, Inc.(Trading as: Scite)
Contact Information
scite.ai
customersupport@researchsolutions.com
Registered Address
10624 S. Eastern Ave., Ste. A-614, Henderson, NV, 89052, US

EU AI Act Provider Information

Verification Status:
Verified
Research Solutions, Inc.(Trading as: Scite)
10624 S. Eastern Ave., Ste. A-614, Henderson, NV, 89052, US
customersupport@researchsolutions.com
Compliance Documents
CE Marking: Not Applicable
Scite says its Smart Citation classifications (supporting, contrasting, mentioning) are made automatically by a deep learning model and can be wrong; users can flag a misclassified citation, which at least two subject-matter experts review, and Scite aims to correct misclassifications within 24 hours. It also says supporting or contrasting labels do not mean the same experiments were repeated (https://help.researchsolutions.com/hc/en-us/articles/31949662097172-How-do-I-fix-a-mis-classified-citation and https://help.researchsolutions.com/hc/en-us/articles/31949617584148-How-are-citations-classified, read 19 October 2026).

Potential Risks

1 considerations identified

1

Review recommended before use

These considerations are automatically identified based on publicly available information about the vendor and AI catalog data. Actual risks may vary based on your specific use case and implementation.

Compliance & Risk

Get insights into risk by running assessments on this AI application.

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Added: February 19, 2026
Updated: October 19, 2026

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