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.6c003502' 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

H. Wang, W. Liu, J. Chen, S. Ji, and G. Bi. ParetoGen: Genera- tive Machine Learning Models To Push the Pareto Optimal Frontier of Functionality-Hazard Trade-offs in Per- and Polyfluoroalkyl Sub- stances Green Alternative Designs.Environmental Science & Tech- nology, 2026. doi:10.1021/acs.est.6c003502

Evidence payload

{
  "arxiv_id": null,
  "checked_sources": [
    "crossref_by_doi",
    "openalex_by_doi",
    "doi_org_head"
  ],
  "doi": "10.1021/acs.est.6c003502",
  "raw_excerpt": "H. Wang, W. Liu, J. Chen, S. Ji, and G. Bi. ParetoGen: Genera- tive Machine Learning Models To Push the Pareto Optimal Frontier of Functionality-Hazard Trade-offs in Per- and Polyfluoroalkyl Sub- stances Green Alternative Designs.Environmental Science & Tech- nology, 2026. doi:10.1021/acs.est.6c003502",
  "ref_index": 33,
  "verdict_class": "cross_source"
}