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SVRIS (SourceVerify Reference Identity Standard) is an open, deterministic standard for verifying whether academic and professional citations refer to real publications. Unlike black-box AI systems that simply output "verified" or "not verified," SVRIS provides transparent, auditable results that can be independently reproduced.
SVRIS was developed to solve a fundamental problem with citation verification: how do you know if the verification is correct? With traditional approaches, you get a binary answer with no explanation. SVRIS shows you exactly which fields matched, which didn't, and why the final classification was made.
When SVRIS compares a citation to a candidate document, each metadata field (title, authors, year, venue, identifier) receives one of five labels:
Based on the field labels, SVRIS produces one of four deterministic outcomes:
SVRIS is built on five core principles:
For researchers, publishers, and anyone working with AI-generated content, SVRIS provides a reliable way to verify citations without trusting a black box. Learn more about SVRIS or read the full specification.
SVRIS is an open standard for citation verification that replaces opaque AI verdicts with transparent, reproducible classifications. By breaking verification into labeled field comparisons and deterministic rules, SourceVerify provides verification you can actually trust and audit.