Reference change · event page

Retraction Note: A data-driven approach for intrusion and anomaly detection using automated machine learning for the Internet of Things

Published notice on a work cited in the Pith corpus. Exact quotes below. No model judges whether any citation was load-bearing.

This page records that a citing paper's bibliography includes a work with a published notice. It is not a judgment on the citing paper.

Retraction Crossref 2 open · 2 total · 0 disputed

DOI: 10.1007/s00500-023-09037-4
Notice DOI: 10.1007/s00500-026-11249-3
Event date: 2026-03-09
Machine twin: JSON

01Notices on this DOI

Retraction Crossref · 2026-03-09
Retraction Retraction Watch

02One-hop citing occurrences

Retraction Open

Design of intelligent proofreading system for English translation based on CNN and BERT

ref [60] · 2506.04811 · notice #9077 · dispute

Raw extraction · bibliography line

Xu, H., Sun, Z., Cao, Y. et al. A data-driven approach for intrusion and anomaly detection using automated machine learning for the Internet of Things. Soft Comput 27, 14469 – 14481 (2023). https://doi.org/10.1007/s00500-023-09037-4

Retraction Open

Design of intelligent proofreading system for English translation based on CNN and BERT

ref [60] · 2506.04811 · notice #9074 · dispute

Raw extraction · bibliography line

Xu, H., Sun, Z., Cao, Y. et al. A data-driven approach for intrusion and anomaly detection using automated machine learning for the Internet of Things. Soft Comput 27, 14469 – 14481 (2023). https://doi.org/10.1007/s00500-023-09037-4

Status lifecycle on notices: open → disputed → (response attached on the notice page). Repaired counts matter as much as open counts. There is no “safe,” “invalid,” or “resolved” badge.