Recoverable Identifier

arXiv:2604.22857 · detector doi_compliance · incontrovertible · 2026-05-20 01:47:28.904370+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1108/RPJ-04-2018-0096/FULL/XML) 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

Zhang B, Jaiswal P , Rai R, et al (2019) Convolutional neural network-based inspection of metal additive manufacturing parts. Rapid Prototyp J 25:530–540. https://doi.org/10.1108/RPJ-04- 2018-0096/FULL/XML

Evidence payload

{
  "printed_excerpt": "Zhang B, Jaiswal P , Rai R, et al (2019) Convolutional neural network-based inspection of metal additive manufacturing parts. Rapid Prototyp J 25:530\u2013540. https://doi.org/10.1108/RPJ-04- 2018-0096/FULL/XML",
  "reconstructed_doi": "10.1108/RPJ-04-2018-0096/FULL/XML",
  "ref_index": 29,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}