Recoverable Identifier

arXiv:2605.20610 · detector doi_compliance · incontrovertible · 2026-05-21 06:03:17.086870+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1109/IJCNN54540.2023.10191904.URL) 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

Svetlana Pavlitska, Christian Hubschneider, Lukas Struppek, and J. Marius Zöllner. Sparsely- gated Mixture-of-Expert Layers for CNN Interpretability. In2023 International Joint Con- ference on Neural Networks (IJCNN), pages 1–10, June 2023. doi: 10.1109/IJCNN54540. 2023.10191904. URL https://ieeexplore.ieee.org/document/10191904. ISSN: 2161- 4407

Evidence payload

{
  "printed_excerpt": "Svetlana Pavlitska, Christian Hubschneider, Lukas Struppek, and J. Marius Z\u00f6llner. Sparsely- gated Mixture-of-Expert Layers for CNN Interpretability. In2023 International Joint Con- ference on Neural Networks (IJCNN), pages 1\u201310, June 2023.",
  "reconstructed_doi": "10.1109/IJCNN54540.2023.10191904.URL",
  "ref_index": 11,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}