Recoverable Identifier

arXiv:2605.18079 · detector doi_compliance · incontrovertible · 2026-05-20 11:52:28.045691+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1162/tacla) 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

URL https://openreview.net/forum ?id=5pHfYe10iX. Merrill, W., Sabharwal, A., and Smith, N. A. Saturated transformers are constant-depth threshold circuits.Trans- actions of the Association for Computational Linguistics, 10:843–856, 2022. doi: 10.1162/tacl a 00493. URL https://aclanthology.org/2022.tacl-1 .49/. Micikevicius, P., Narang, S., Alben, J., Diamos, G., Elsen, E., Garcia, D., Ginsburg, B., Houston, M., Kuchaiev, O., Venkatesh, G., and Wu, H. Mixed precision training. In International Conference on Learning Representations,

Evidence payload

{
  "printed_excerpt": "URL https://openreview.net/forum ?id=5pHfYe10iX. Merrill, W., Sabharwal, A., and Smith, N. A. Saturated transformers are constant-depth threshold circuits.Trans- actions of the Association for Computational Linguistics, 10:843\u2013856, 2022. do",
  "reconstructed_doi": "10.1162/tacla",
  "ref_index": 9,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}