Unresolvable Identifier

arXiv:2604.23593 · detector doi_compliance · cross_source · 2026-05-19 22:57:54.994142+00:00

critical doi_compliance unresolvable_identifier

Identifier '10.3346/jkms.2025.40.e92https://www.ncbi.nlm.nih.gov/pubmed/39995259' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.

Paper page Integrity report arXiv Try DOI

Evidence text

Doskaliuk B., Zimba O., Y essirkepov M., et al. (2025). Artificial Intelligence in peer review: Enhancing efficiency while preserving integrity. J. Korean Med. Sci. 40:e92. DOI:10.3346/jkms.2025.40.e92https://www.ncbi.nlm.nih.gov/pubmed/39995259

Evidence payload

{
  "arxiv_id": null,
  "checked_sources": [
    "crossref_by_doi",
    "openalex_by_doi",
    "doi_org_head"
  ],
  "doi": "10.3346/jkms.2025.40.e92https://www.ncbi.nlm.nih.gov/pubmed/39995259",
  "raw_excerpt": "Doskaliuk B., Zimba O., Y essirkepov M., et al. (2025). Artificial Intelligence in peer review: Enhancing efficiency while preserving integrity. J. Korean Med. Sci. 40:e92. DOI:10.3346/jkms.2025.40.e92https://www.ncbi.nlm.nih.gov/pubmed/39995259",
  "ref_index": 90,
  "verdict_class": "cross_source"
}