Recoverable Identifier

arXiv:2605.06591 · detector doi_compliance · incontrovertible · 2026-05-19 12:34:06.308139+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1088/2632-2153/acefa9.URLhttps://arxiv.org/abs/2303.18150) 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

Sascha Diefenbacher, Engin Eren, Frank Gaede, Gregor Kasieczka, Anatolii Korol, Katja Krüger, Peter McKeown, and Lennart Rustige. New angles on fast calorimeter shower simulation. Machine Learning: Science and Technology, 4(3):035044, 2023. doi: 10.1088/2632-2153/ acefa9. URLhttps://arxiv.org/abs/2303.18150

Evidence payload

{
  "printed_excerpt": "Sascha Diefenbacher, Engin Eren, Frank Gaede, Gregor Kasieczka, Anatolii Korol, Katja Kr\u00fcger, Peter McKeown, and Lennart Rustige. New angles on fast calorimeter shower simulation. Machine Learning: Science and Technology, 4(3):035044, 2023.",
  "reconstructed_doi": "10.1088/2632-2153/acefa9.URLhttps://arxiv.org/abs/2303.18150",
  "ref_index": 17,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}