Recoverable Identifier

arXiv:2604.19835 · detector doi_compliance · incontrovertible · 2026-05-20 03:17:07.725788+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.48550/arxiv.2502) 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

Jan Ludziejewski, Maciej Píoro, Jakub Krajewski, Maciej Stefaniak, Michał Krutul, Jan Mała´snicki, Marek Cygan, Piotr Sankowski, Kamil Adamczewski, Piotr Miło´s, and Sebastian Jaszczur. Joint MoE scaling laws: Mixture of experts can be memory efficient. InProceedings of the 42nd International Conference on Machine Learning (ICML), volume 267 ofProceedings of Machine Learning Research, pages 41056–41073. PMLR, 2025. doi: 10.48550/ARXIV .2502. 05172. URL https://proceedings.mlr.press/v267/ludziejewski25a.html. Also available as arXiv:2502.05172

Evidence payload

{
  "printed_excerpt": "Jan Ludziejewski, Maciej P\u00edoro, Jakub Krajewski, Maciej Stefaniak, Micha\u0142 Krutul, Jan Ma\u0142a\u00b4snicki, Marek Cygan, Piotr Sankowski, Kamil Adamczewski, Piotr Mi\u0142o\u00b4s, and Sebastian Jaszczur. Joint MoE scaling laws: Mixture of experts can be memo",
  "reconstructed_doi": "10.48550/arxiv.2502",
  "ref_index": 34,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}