Reviewer3Reviewer3

    Evaluating the Reference Checker

    We tested our reference checker on a held-out set of 476 citations containing both real and AI-fabricated references. The test set is drawn from research published in Nature Scientific Reports on LLM hallucinations.

    Last updated June 15, 2026

    Accuracy

    98.5%

    469/476 correct

    Precision

    98.3%

    Low false positives

    Recall

    99.3%

    Real refs found

    F1 Score

    98.8%

    Balanced measure

    Dataset Composition

    The benchmark includes both legitimate citations from published research and AI-fabricated references generated by GPT-3.5 and GPT-4.

    Real citations299 (62.8%)
    Fabricated citations177 (37.2%)
    Total476

    Fabricated citations include fully invented papers, fake authors, and non-existent journals, typical LLM hallucination patterns.

    Methodology

    Our reference checker combines multiple verification approaches:

    • Academic databases: OpenAlex, CrossRef, and other scholarly sources
    • AI-powered verification: Gemini for intelligent matching and validation
    • Multi-source cross-referencing: Citations verified against multiple independent databases

    A citation is marked as "not found" only after exhausting all available sources.

    Confusion Matrix
    Classification performance across all 476 benchmark citations
    Predicted Real
    Predicted Fake
    Actually Real

    297

    True Positive

    2

    False Negative

    Actually Fake

    5

    False Positive

    172

    True Negative

    Key Insights

    98.3% precision, minimal false alarms

    Only 5 of 177 fabricated citations slipped through as verified. Low false positives mean researchers can trust flagged references warrant investigation.

    97% of fabricated citations caught

    172 of 177 LLM-hallucinated references, including those with fake DOIs and plausible metadata, were correctly identified.

    99.3% of real citations verified

    297 of 299 legitimate references were successfully matched and linked to their original sources, even with formatting variations.

    Example Citations
    See how R3 classifies real papers vs AI-fabricated citations.
    Real Paper
    R3: Found
    ✓ True Positive
    I. Wilmut, ..., K. H. Campbell. Viable offspring derived from fetal and adult mammalian cells. Nature, 385(6619), 810-813.

    The famous Dolly the sheep cloning paper, correctly verified.

    AI Fabricated
    R3: Not Found
    ✓ True Negative
    J. Smith. The impact of migration on the health of older adults. Journal of Gerontology: Social Sciences, 2015, 70(4), 497-505.

    Generic author name and plausible-sounding title, but completely fabricated by GPT.

    AI Fabricated
    R3: Not Found
    ✓ True Negative
    Y. Kang, J. Kim. A Comparison of the Environmental Impact of Molten Salt Reactors and Conventional Nuclear Fission Reactors. Journal of Cleaner Production, 2021, 288, 124959.

    A plausible journal, volume, and article number, but no such paper exists — correctly rejected.

    Real Paper
    R3: Found
    ✓ True Positive
    S. E. Carrell, J. E. West. Does professor quality matter? Evidence from random assignment of students to professors. Journal of Political Economy, 2010, 118(3), 409-432.

    Influential education economics paper, verified through academic databases.

    Real Paper
    R3: Not Found
    ✗ False Negative
    World Health Organization (WHO). Global oral health data bank. Geneva: World Health Organization, 2013.

    Institutional reports often lack DOIs and standard metadata, making them harder to verify.

    AI Fabricated
    R3: Not Found
    ✓ True Negative
    Y. J. Lee. Enhancing students' communication skills in the science classroom through socio-scientific issues-based instruction. International Journal of Science Education, 2017, 39(4), 414-434.

    A frankencitation: a real title and journal paired with fabricated authors. The verifier's author check catches the mismatch and correctly rejects it.

    See the Evidence in Your Own Work

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