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 (10.1103/physrevaccelbeams.27.094601.url:https://link.aps.org/doi/10.1103/PhysRevAccelBeams.27.094601) 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

Ryan Roussel et al. “Efficient six-dimensional phase space reconstructions from experimental measurements using generative machine learning”. en. In:Physical Review Accelerators and Beams27.9 (Sept. 2024), p. 094601.issn: 2469-9888.doi: 10.1103/PhysRevAccelBeams.27.094601.url: https://link.aps.org/doi/10.1103/PhysRevAccelBeams.27.094601

Evidence payload

{
  "printed_excerpt": "Ryan Roussel et al. \u201cEfficient six-dimensional phase space reconstructions from experimental measurements using generative machine learning\u201d. en. In:Physical Review Accelerators and Beams27.9 (Sept. 2024), p. 094601.issn: 2469-9888.doi: 10.",
  "reconstructed_doi": "10.1103/physrevaccelbeams.27.094601.url:https://link.aps.org/doi/10.1103/PhysRevAccelBeams.27.094601",
  "ref_index": 27,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}