Reference change · event page

Scientific Reports15(1) (2025)

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

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Retraction Crossref 2 open · 2 total · 0 disputed

DOI: 10.1038/s41598-025-21664-5
Notice DOI: 10.1038/s41598-026-57775-w
Event date: 2026-06-16
Machine twin: JSON

01Notices on this DOI

Retraction Crossref · 2026-06-16
Retraction Retraction Watch

02One-hop citing occurrences

Retraction Open

Learning-Accelerated Optimization-based Trajectory Planning for Cooperative Aerial-Ground Handover Missions

ref [17] · 2605.19562 · notice #10613 · dispute

Raw extraction · bibliography line

Shiyu, F.: Reinforcement learning-driven deep learning approaches for optimized robot trajectory planning. Scientific Reports15(1) (2025). https://doi.org/10.1038/s41598-025-21664-5

Retraction Open

Learning-Accelerated Optimization-based Trajectory Planning for Cooperative Aerial-Ground Handover Missions

ref [17] · 2605.19562 · notice #69 · dispute

Raw extraction · bibliography line

Shiyu, F.: Reinforcement learning-driven deep learning approaches for optimized robot trajectory planning. Scientific Reports15(1) (2025). https://doi.org/10.1038/s41598-025-21664-5

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.