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Paper Citation Record · LEDGER

What is YOLOv8: An In-Depth Exploration of the Internal Features of the Next-Generation Object Detector

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2408.15857.

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

pith.paper-citation-record.v1
2408.15857 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:02:09.979601Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

32
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e1f7b3a2-88f7-4f12-bb13-5de2c1a27c20 · inbound

YOLO-ROC: A High-Precision and Ultra-Lightweight Model for Real-Time Road Damage Detection cites this paper.

YOLO-ROC: A High-Precision and Ultra-Lightweight Model for Real-Time Road Damage Detection What is YOLOv8: An In-Depth Exploration of the Internal Features of the Next-Generation Object Detector

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T11:02:09.979601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:02:09.979601Z digest=sha256:47229c3d664f76428e96a143f8b1b9b254eabac34b48f81d72e4a837569f812a

Observation 0b9ca67d-ffe3-412d-8bcc-7da894ecf47f · inbound

SARES-DEIM: Sparse Mixture-of-Experts Meets DETR for Robust SAR Ship Detection cites this paper.

SARES-DEIM: Sparse Mixture-of-Experts Meets DETR for Robust SAR Ship Detection What is YOLOv8: An In-Depth Exploration of the Internal Features of the Next-Generation Object Detector

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:08:01.037145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T17:03:04.479692Z digest=sha256:8d90a3576e7ba3988be7f924060a6ae7d039805ed7018e50be80c29f2e85b19a

Observation 7cfee450-2e46-460b-a7e7-92b5589bf8bf · inbound

RACF: A Resilient Autonomous Car Framework with Object Distance Correction cites this paper.

RACF: A Resilient Autonomous Car Framework with Object Distance Correction What is YOLOv8: An In-Depth Exploration of the Internal Features of the Next-Generation Object Detector

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-10T15:50:34.209152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:46:46.475645Z digest=sha256:dc9eebaee7097f69942bf2e354bf5790c77839f9f2cfd8a6b24952739ad3c094

Observation 10105ca0-800e-46e9-9fbc-3df8adbc0fff · inbound

Semantically Stable Image Composition Analysis via Saliency and Gradient Vector Flow Fusion cites this paper.

Semantically Stable Image Composition Analysis via Saliency and Gradient Vector Flow Fusion What is YOLOv8: An In-Depth Exploration of the Internal Features of the Next-Generation Object Detector

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:56:05.465561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:15:15.409574Z digest=sha256:78a641c73b18e7b7aa7688f05de70fb1bb99125f14c79a9c51b473b71184d09f

Observation 12ebfe0d-a395-4148-a5cc-e4e9b6f87ac1 · inbound

A Rapid Deployment Pipeline for Autonomous Humanoid Grasping Based on Foundation Models cites this paper.

A Rapid Deployment Pipeline for Autonomous Humanoid Grasping Based on Foundation Models What is YOLOv8: An In-Depth Exploration of the Internal Features of the Next-Generation Object Detector

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:16:20.790975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T06:15:27.908393Z digest=sha256:6c5a9e91f7776a36c12429a757d86ed1b862513337ab3862dcf4a2c72f0432ab

Observation 0f9de6d1-c7dc-4e54-b412-7dc37c03e7c5 · inbound

Real-Time Cellist Postural Evaluation With On-Device Computer Vision cites this paper.

Real-Time Cellist Postural Evaluation With On-Device Computer Vision What is YOLOv8: An In-Depth Exploration of the Internal Features of the Next-Generation Object Detector

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:41:02.096442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T05:38:35.025500Z digest=sha256:32f52c1623b8b9250f3d856a362208459c7b63f49877c7100c7786e12ec20798

Observation da8a5647-f621-41a5-affa-57d67443f9cd · inbound

MIRAGE: A Micro-Interaction Relational Architecture for Grounded Exploration in Multi-Figure Artworks cites this paper.

MIRAGE: A Micro-Interaction Relational Architecture for Grounded Exploration in Multi-Figure Artworks What is YOLOv8: An In-Depth Exploration of the Internal Features of the Next-Generation Object Detector

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:11:17.993808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T06:32:57.198044Z digest=sha256:8b169734949349cc22c8eccac6ab24c3ad2ebcfb3b50f4ce7f775673495cebe6

Observation d532b09a-7a9b-474e-9dc8-10f0ddf769e5 · inbound

Trajectory-Aware Adaptive Inference in Object Detection Models cites this paper.

Trajectory-Aware Adaptive Inference in Object Detection Models What is YOLOv8: An In-Depth Exploration of the Internal Features of the Next-Generation Object Detector

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:33:48.430751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T22:32:31.056914Z digest=sha256:fd146d78e0003fe550bba52b198a6bdc10f65d57114e627f006c937a337e87f6

Observation 1001066b-1ce7-45ef-8f27-23bfaa3227b6 · inbound

Structure-Guided Mixed Masked Pretraining and Spatial Continuity Regularization for Printed Circuit Board Defect Detection cites this paper.

Structure-Guided Mixed Masked Pretraining and Spatial Continuity Regularization for Printed Circuit Board Defect Detection What is YOLOv8: An In-Depth Exploration of the Internal Features of the Next-Generation Object Detector

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-02T03:06:30.182802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T10:19:16.668107Z digest=sha256:6314bc56ad5ec62552c0d16cbe9290b6c7ebaa5b24a14439ed562a645fcbf40e

Observation f5b0ae52-f532-4c7f-8ceb-5338392a00b5 · inbound

Measurement-Calibrated Multi-Camera Fusion for Vision-Based Indoor Localization cites this paper.

Measurement-Calibrated Multi-Camera Fusion for Vision-Based Indoor Localization What is YOLOv8: An In-Depth Exploration of the Internal Features of the Next-Generation Object Detector

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-03T14:38:29.309449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T06:58:10.174339Z digest=sha256:e2de842d4d7676013302053b9db5c4c760ba5300261b927150e74d9f9c74d769

Observation 90308668-3223-40c0-acda-1e6bc5c3bf9d · inbound

Dense Structural Priors for Sparse Functional Landmark Localization in Surgical Videos cites this paper.

Dense Structural Priors for Sparse Functional Landmark Localization in Surgical Videos What is YOLOv8: An In-Depth Exploration of the Internal Features of the Next-Generation Object Detector

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T00:55:12.196062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T00:45:35.189844Z digest=sha256:abe1a8a9a0a175ccce8e7a93018990a816f7d591d04fd158326925191f0a2d40

Observation 91b3a39e-2028-4966-909d-ce02f5fc2bf3 · inbound

A Stereo Visual SLAM System Using Object-Level Motion Estimation and Geometric Filtering Based on Cross Disparity cites this paper.

A Stereo Visual SLAM System Using Object-Level Motion Estimation and Geometric Filtering Based on Cross Disparity What is YOLOv8: An In-Depth Exploration of the Internal Features of the Next-Generation Object Detector

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-03T12:08:06.401418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-03T12:00:03.956340Z digest=sha256:74816fcf79cd2ea3127b10ec2fb7b5e4a193f1ffdd7578b6a594faaec9704088