Paper Citation Record · LEDGER

YOLOv5, YOLOv8 and YOLOv10: The Go-To Detectors for Real-time Vision

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.02988.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2407.02988 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:17:22.960109Z

measured 0 of 1 external citation measurements

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 94bb828c-8784-4898-9370-c5ed67498f66 · inbound

IMAGGarment: Fine-Grained Garment Generation for Controllable Fashion Design cites this paper.

IMAGGarment: Fine-Grained Garment Generation for Controllable Fashion Design YOLOv5, YOLOv8 and YOLOv10: The Go-To Detectors for Real-time Vision

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-16T12:17:22.960109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5c94230-4c02-481e-8dec-a2b1f31946e2 · inbound

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art cites this paper.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art YOLOv5, YOLOv8 and YOLOv10: The Go-To Detectors for Real-time Vision

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T20:05:17.952472Z

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 2026-08-19T06:32:44.657259+00:00.