Recoverable Identifier

arXiv:2605.01283 · detector doi_compliance · incontrovertible · 2026-05-19 17:27:38.067742+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1007/978-3-031-28183-98) 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

E. Paiva-Peredo, “Deep learning for the classi ﬁ cation of cassava leaf diseases in unbal- anced ﬁ eld data set,” in International Conference on Advanced Network Technologies and Intelligent Computing . Springer, 2022, pp. 101–114. doi: 10.1007/978-3-031- 28183-9 8

Evidence payload

{
  "printed_excerpt": "E. Paiva-Peredo, \u201cDeep learning for the classi \ufb01 cation of cassava leaf diseases in unbal- anced \ufb01 eld data set,\u201d in International Conference on Advanced Network Technologies and Intelligent Computing . Springer, 2022, pp. 101\u2013114. doi: 10.",
  "reconstructed_doi": "10.1007/978-3-031-28183-98",
  "ref_index": 44,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}