Recoverable Identifier

arXiv:2605.19091 · detector doi_compliance · incontrovertible · 2026-05-20 12:32:13.009156+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1109/CVPR.2018.00745.11) 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

doi: 10.1109/CVPR.2018. 00745. 11 Published as a conference paper at ICLR 2026 Pavel Izmailov, Dmitrii Podoprikhin, Timur Garipov, Dmitry Vetrov, and Andrew Gordon Wilson. Averaging weights leads to wider optima and better generalization. In Ricardo Silva and Amir Globerson (eds.),34th Conference on Uncertainty in Artificial Intelligence 2018, UAI 2018, 34th Conference on Uncertainty in Artificial Intelligence 2018, UAI 2018, pp. 876–885. Association For Uncertainty in Artificial Intelligence (AUAI),

Evidence payload

{
  "printed_excerpt": "doi: 10.1109/CVPR.2018. 00745. 11 Published as a conference paper at ICLR 2026 Pavel Izmailov, Dmitrii Podoprikhin, Timur Garipov, Dmitry Vetrov, and Andrew Gordon Wilson. Averaging weights leads to wider optima and better generalization. I",
  "reconstructed_doi": "10.1109/CVPR.2018.00745.11",
  "ref_index": 8,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}