Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
YOLOv5, YOLOv8 and YOLOv10: The Go-To Detectors for Real-time Vision
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.02988.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T15:29:17.317511Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T08:55:19.357390Z
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 7a83c893-e2ce-42b0-a68d-9be21d5ae908 · inbound
Towards Context-Rich Automated Biodiversity Assessments: Deriving AI-Powered Insights from Camera Trap Data cites this paper.
Towards Context-Rich Automated Biodiversity Assessments: Deriving AI-Powered Insights from Camera Trap Data YOLOv5, YOLOv8 and YOLOv10: The Go-To Detectors for Real-time Vision
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T15:29:17.317511Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14b57a0e-d611-4c6d-9cae-f559ed2beb1a · inbound
Real-Time Structural Detection for Indoor Navigation from 3D LiDAR Using Bird's-Eye-View Images cites this paper.
Real-Time Structural Detection for Indoor Navigation from 3D LiDAR Using Bird's-Eye-View Images YOLOv5, YOLOv8 and YOLOv10: The Go-To Detectors for Real-time Vision
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T08:55:19.359440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.