Unresolvable Identifier

arXiv:2604.24816 · detector doi_compliance · cross_source · 2026-05-19 22:05:26.909825+00:00

critical doi_compliance unresolvable_identifier

Identifier '10.26434/chemrxiv.15001665' 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

Suo, P., Wu, X., Tian, H. and Wang, L. 2026. Towards Scalable and Efficient Machine-Learning Force Fields: The MatPL package and Its Advancements on Neuroevolution Potentials. ChemRxiv. (2026). https://doi.org/https://doi.org/10.26434/chemrxiv.15001665

Evidence payload

{
  "arxiv_id": null,
  "checked_sources": [
    "crossref_by_doi",
    "openalex_by_doi",
    "doi_org_head"
  ],
  "doi": "10.26434/chemrxiv.15001665",
  "raw_excerpt": "Suo, P., Wu, X., Tian, H. and Wang, L. 2026. Towards Scalable and Efficient Machine-Learning Force Fields: The MatPL package and Its Advancements on Neuroevolution Potentials. ChemRxiv. (2026). https://doi.org/https://doi.org/10.26434/chemrxiv.15001665",
  "ref_index": 9,
  "verdict_class": "cross_source"
}