Unresolvable Identifier

arXiv:2605.15932 · detector doi_compliance · cross_source · 2026-05-20 16:24:41.520038+00:00

critical doi_compliance unresolvable_identifier

Identifier '10.1021/acs.est.5c005101' 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

Y . Wang, J. Dong, Y . Zhou, Y . Cheng, X. Zhao, W. J. G. M. Peij- nenburg, M. G. Vijver, K. M. Y . Leung, W. Fan, and F. Wu. Ad- dressing the Data Scarcity Problem in Ecotoxicology via Small Data Machine Learning Methods.Environmental Science & Technology, 59(12):5867–5871, 2025. doi:10.1021/acs.est.5c005101

Evidence payload

{
  "arxiv_id": null,
  "checked_sources": [
    "crossref_by_doi",
    "openalex_by_doi",
    "doi_org_head"
  ],
  "doi": "10.1021/acs.est.5c005101",
  "raw_excerpt": "Y . Wang, J. Dong, Y . Zhou, Y . Cheng, X. Zhao, W. J. G. M. Peij- nenburg, M. G. Vijver, K. M. Y . Leung, W. Fan, and F. Wu. Ad- dressing the Data Scarcity Problem in Ecotoxicology via Small Data Machine Learning Methods.Environmental Science & Technology, 59(12):5867\u20135871, 2025. doi:10.1021/acs.est.5c005101",
  "ref_index": 35,
  "verdict_class": "cross_source"
}