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[ARTICLE · art-124840] src=veruscite.com ↗ pub= topic=artificial-intelligence verified=true sentiment=↓ negative

Springer AI reference checks are not working

VerusCite, a startup selling citation-checking tools, reported that Springer Nature's internal AI citation-checking tool failed to detect hallucinated references in at least 10 articles published in August and September 2026 across Springer journals including Communications AI & Computing, Discover Sustainability, and Artificial Intelligence Review. The company, which confirmed each case with a second human check, highlighted the failures to counter Springer's April 2025 claim that its internal tool checks citation relevance.

read2 min views1 publishedSep 9, 2026
Springer AI reference checks are not working
Image: source

Being a little salty while trying to sell VerusCite, one of the hiccups has been different publishing groups claiming they already have internal tools that do the same work.

Here, for example, is a
    [Springer Nature press release in April 2025](https://group.springernature.com/gp/group/media/press-releases/new-research-integrity-ai-tool/27769148)
    claiming they have an internal AI tool to check the relevance of citations. While that is
    technically different from determining whether a citation exists at all, someone may need to
    fill me in on how exactly you determine that a hallucinated reference is relevant.

    Just for some evidence that Springer’s internal tools are
    *definitely not working*, here are articles published in August or September of 2026
    where VerusCite
    [identified hallucinated citations](https://veruscite.com/hallucinations)
    (and I confirmed each with a second human check).

September 2026

Large language models outperform humans at estimating society’s everyday norms

Kimmo Eriksson, Simon Karlsson, Irina Vartanova, & Pontus Strimling

Communications AI & Computing ·

    [10.1038/s44488-026-00018-8](https://doi.org/10.1038/s44488-026-00018-8)

[VerusCite report](https://veruscite.com/share/u0hPBigMx87cuYrhNnLZre1yBh-lOoEYfMp1GLHA8_U)

Generative artificial intelligence produces differential academic outcomes across socioeconomic, linguistic, and disability contexts

Mayadhar Sethy

Discover Sustainability ·

    [10.1007/s43621-026-04645-0](https://doi.org/10.1007/s43621-026-04645-0)

[VerusCite report](https://veruscite.com/share/4LrRd83BusEo3Hr3yOCUfm9rrDR6v43WtAugzO1JK2o)

August 2026

Large language models as judges: recent advances in LLM-based evaluation, critique, preference modeling, and feedback for text and code

Mihai Dan Nadăş

Artificial Intelligence Review ·

    [10.1007/s10462-026-11652-0](https://doi.org/10.1007/s10462-026-11652-0)

[VerusCite report](https://veruscite.com/share/OotE2MhGFZMtuMHbtZeDaOYAO5e0ew3F0PDwKQY2GkI)

What students ask matters: LLM interaction depth, task quality, and immediate recall in higher education

Vangelis Tsiligkiris

International Journal of Educational Technology in Higher Education ·

    [10.1186/s41239-026-00617-6](https://doi.org/10.1186/s41239-026-00617-6)

[VerusCite report](https://veruscite.com/share/96c5S4IkcuhwBJxa8YjRDbkkXYtzfgS378JGigzWgzw)

Generative AI bias against scientific novelty: a cautionary tale from a small-sample evaluation of research proposals

Diogo Machado

Scientometrics ·

[10.1007/s11192-026-05792-x](https://doi.org/10.1007/s11192-026-05792-x)

Spatiotemporal analysis of carjacking trends in Chicago before, during, and after COVID-19 lockdowns: implications for organized crime

Frank Gyebi Asiamah

Trends in Organized Crime ·

    [10.3390/ijgi10020005](https://doi.org/10.3390/ijgi10020005)

[VerusCite report](https://veruscite.com/share/J8aveLbZxxetxVOSSMiSRf8vSbiMAWStm8Q7gxBilA0)

From crime to search engine: how crime predicts the search for security products?

Carlos Arango-Pastrana, Edwin Arango-Espinal & Carlos Osorio-Andrade

Security Journal ·

    [10.1057/s41284-026-00566-9](https://doi.org/10.1057/s41284-026-00566-9)

[VerusCite report](https://veruscite.com/share/IyRHJw60RkzlIfCqnKBL5NAWUB3SCqK1XnoA-zop4dA)

Intersecting Generational, Gender, and Racial Disparities in Intimate Partner Physical and Sexual Violence: A Multivariate Analysis of Victimization and Perpetration

Sunday B. Fakunmoju

Archives of Sexual Behavior ·

    [10.1007/s10508-026-03494-2](https://doi.org/10.1007/s10508-026-03494-2)

[VerusCite report](https://veruscite.com/share/l42cFlsAt0gGysjNCqm9TcnPyIVe8iiLM42PfTzdAfI)

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning

Information Systems Frontiers ·

    [10.1007/s10796-026-10799-z](https://doi.org/10.1007/s10796-026-10799-z)

[VerusCite report](https://veruscite.com/share/gdU6HZuo8YgHCrlsDQZbxhO_K8ZbefQkwiIQtixM7bU)

    The
    [hall of hallucinations](https://veruscite.com/hallucinations)
    has recent articles across the major publishers — Taylor & Francis, Sage, Oxford,
    Elsevier, MDPI, PLOS One (I am currently missing Wiley!), as well as various preprint servers
    (arXiv, PsyArXiv, Frontiers, SSRN).

Having been involved with the process as an academic, I get it: publishers only do the minimal amount necessary and offload most integrity verification onto peer reviewers and editors. Given the margins these publishers command, though, academics should demand more from them in verifying the integrity of the work they publish.

My tool costs $2 to review a paper. If checking the accuracy of the references is not even worth that much to the journal, it does not seem to me there is much point in trusting anything peer review puts out at all.

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