Recoverable Identifier

arXiv:2604.25489 · detector doi_compliance · incontrovertible · 2026-05-19 21:07:22.033256+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1016/j.nima.2020.164652.url:https://linkinghub.elsevier.com/retrieve/pii/S0168900220310494) was visible in the surrounding text but could not be confirmed against doi.org as printed.

Paper page Integrity report arXiv Try DOI

Evidence text

P. Arpaia et al. “Machine learning for beam dynamics studies at the CERN Large Hadron Collider”. en. In:Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment985 (Jan. 2021), p. 164652. issn: 01689002.doi:10.1016/j.nima.2020.164652.url: https://linkinghub.elsevier.com/retrieve/pii/S0168900220310494

Evidence payload

{
  "printed_excerpt": "P. Arpaia et al. \u201cMachine learning for beam dynamics studies at the CERN Large Hadron Collider\u201d. en. In:Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment985 (Jan. ",
  "reconstructed_doi": "10.1016/j.nima.2020.164652.url:https://linkinghub.elsevier.com/retrieve/pii/S0168900220310494",
  "ref_index": 23,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}