What problem does the DOI Citation Verifier solve?

It prevents large language models (LLMs) from hallucinating academic citations by mandating real-time verification against the CrossRef database, ensuring all references are legitimate and accurately attributed.

How does it ensure citations are accurate?

The tool uses a `verifyCitation` function to check paper details (title, author, year) against CrossRef, providing confidence scores and returning only DOI-backed, properly formatted citations.

Can I use it to find verified research papers on a topic?

Yes, the `findVerifiedPapers` tool allows you to search for papers on a specific topic and retrieve only verified, DOI-backed citations directly from the CrossRef database.

Which LLMs or platforms does it integrate with?

As a Model Context Protocol (MCP) server, it's designed to integrate with LLMs that support MCP, such as Claude, to enforce mandatory citation verification during their output generation.

DOI Citation Verifier

Name: DOI Citation Verifier
Author: tfscharff

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Ensures the accuracy of academic citations by verifying them against the CrossRef database, preventing large language models from hallucinating references.

Large language models often struggle with 'citation hallucination,' fabricating academic references or misattributing details. The DOI Citation Verifier acts as a Model Context Protocol (MCP) server that mandates verification for every academic citation an LLM attempts to generate. By querying CrossRef's extensive database in real-time, it validates citation details, ensuring that only confidently matched, real publications with valid DOIs are cited, thereby eliminating the problem of non-existent or incorrect references.

主要功能

01Mandatory citation verification for LLMs

021 GitHub stars

03Confidence scoring for fuzzy matching of citation details

04Real-time validation against CrossRef's 150+ million publications

05Search for real papers on a topic with verified citations

06Returns only DOI-backed, properly formatted citations

使用案例

01Validating the existence and accuracy of a specific academic citation before it is referenced.

02Preventing large language models from generating hallucinated or incorrect academic citations.

03Searching for real, verified academic papers and their details on specific topics.