Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
YOLOv1 to YOLOv10: The fastest and most accurate real-time object detection systems
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.09332.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:24:42.743176Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-12T00:05:40.984696Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation b9d1804a-422a-4ae2-89e8-edcded88ef24 · inbound
Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 cites this paper.
Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 YOLOv1 to YOLOv10: The fastest and most accurate real-time object detection systems
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T00:05:40.992953Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 17f5f13c-4b14-4b4c-9370-6a4197d28ae5 · inbound
LiDAR-Guided Monocular 3D Object Detection for Long-Range Railway Monitoring cites this paper.
LiDAR-Guided Monocular 3D Object Detection for Long-Range Railway Monitoring YOLOv1 to YOLOv10: The fastest and most accurate real-time object detection systems
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:24:42.743176Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.