Recoverable Identifier

arXiv:2605.04997 · detector doi_compliance · incontrovertible · 2026-05-19 13:57:59.974170+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1190/geo2023-0201.1.Zhu) 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

3-D CSEM data inversion using deep convolutional neural networks: A feasibility study. Geophysics 89, E55–E68. doi:10.1190/geo2023-0201.1. Zhu, C., Byrd, R.H., Lu, P., Nocedal, J.,

Evidence payload

{
  "printed_excerpt": "3-D CSEM data inversion using deep convolutional neural networks: A feasibility study. Geophysics 89, E55\u2013E68. doi:10.1190/geo2023-0201.1. Zhu, C., Byrd, R.H., Lu, P., Nocedal, J.,",
  "reconstructed_doi": "10.1190/geo2023-0201.1.Zhu",
  "ref_index": 26,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}