Paper Citation Record · LEDGER

YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 inbound Pith citation observations for arXiv:2209.02976.

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

pith.paper-citation-record.v1
2209.02976 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 29 of 29 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:24:17.454219Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:49:57.396006Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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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 4fed111c-0435-4ef0-8967-972066c64170 · inbound

YOLOv11: An Overview of the Key Architectural Enhancements cites this paper.

YOLOv11: An Overview of the Key Architectural Enhancements YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-12T13:29:16.355417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8125d6c6-99d6-4def-9319-943379a6165e · inbound

One Video to Steal Them All: 3D-Printing IP Theft through Optical Side-Channels cites this paper.

One Video to Steal Them All: 3D-Printing IP Theft through Optical Side-Channels YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T22:24:17.454219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09318e20-aa8c-4d4b-99a3-d9e43f4b97a4 · inbound

A Novel Tuning Method for Real-time Multiple-Object Tracking Utilizing Thermal Sensor with Complexity Motion Pattern cites this paper.

A Novel Tuning Method for Real-time Multiple-Object Tracking Utilizing Thermal Sensor with Complexity Motion Pattern YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T20:35:02.201353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f761d76c-1f5d-4854-b612-bbe5d10a6393 · inbound

Glance-MCMT: A General MCMT Framework with Glance Initialization and Progressive Association cites this paper.

Glance-MCMT: A General MCMT Framework with Glance Initialization and Progressive Association YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T17:41:40.517820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e12eb0ff-e939-4dd7-8dae-e02ba24697e6 · inbound

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments cites this paper.

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:30.833003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de5e2047-031c-48f6-bfef-36a310ec12d7 · inbound

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration cites this paper.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 112

Resolution: unresolved; no resolver link, observed 2026-08-06T16:27:19.927167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66de0a1a-b650-440b-af2c-5acdc7062e9e · inbound

Few-Shot Learning in Video and 3D Object Detection: A Survey cites this paper.

Few-Shot Learning in Video and 3D Object Detection: A Survey YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T15:00:44.579806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fbd0aca-e3d3-4a45-a9c7-a88e64cc72c6 · inbound

YOLOv1 to YOLOv11: A Comprehensive Survey of Real-Time Object Detection Innovations and Challenges cites this paper.

YOLOv1 to YOLOv11: A Comprehensive Survey of Real-Time Object Detection Innovations and Challenges YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T05:15:42.553276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8474f066-d835-4619-9961-40c743564d43 · inbound

Multi-Representation Adapter with Neural Architecture Search for Efficient Range-Doppler Radar Object Detection cites this paper.

Multi-Representation Adapter with Neural Architecture Search for Efficient Range-Doppler Radar Object Detection YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T12:46:29.964239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d98043b-d177-4051-ba75-c01e8a8388b0 · inbound

Image Quality Enhancement and Detection of Small and Dense Objects in Industrial Recycling Processes cites this paper.

Image Quality Enhancement and Detection of Small and Dense Objects in Industrial Recycling Processes YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T12:42:33.512651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e599a1e4-7c42-4419-bd83-09c89239e2b3 · inbound

All You Need for Object Detection: From Pixels, Points, and Prompts to Next-Gen Fusion and Multimodal LLMs/VLMs in Autonomous Vehicles cites this paper.

All You Need for Object Detection: From Pixels, Points, and Prompts to Next-Gen Fusion and Multimodal LLMs/VLMs in Autonomous Vehicles YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 193

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:00:47.995964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3c05f28f-7c35-4ae4-91ae-7fb6b9cc79e8 · inbound

LiM-YOLO: Less is More with Pyramid Level Shift for Ship Detection in Optical Remote Sensing cites this paper.

LiM-YOLO: Less is More with Pyramid Level Shift for Ship Detection in Optical Remote Sensing YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T17:28:18.801576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 782a03e2-5a6e-443f-ad5c-62e8ec67895a · inbound

YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection cites this paper.

YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T13:44:07.754246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66a02764-8bfc-49ad-8d75-0c575809f1e7 · inbound

WUTDet: A 100K-Scale Ship Detection Dataset and Benchmarks with Dense Small Objects cites this paper.

WUTDet: A 100K-Scale Ship Detection Dataset and Benchmarks with Dense Small Objects YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:20:59.717280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 98211088-feaa-4727-b71e-ad14e109578e · inbound

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection cites this paper.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:15:22.139448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 723290b2-2dd1-4231-aeb3-352fa25482fc · inbound

Learning to count small and clustered objects with application to bacterial colonies cites this paper.

Learning to count small and clustered objects with application to bacterial colonies YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:16:19.970292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2aac625d-393e-49e1-ae81-f41549a4fb4f · inbound

Real-Time Frame- and Event-based Object Detection with Spiking Neural Networks on Edge Neuromorphic Hardware: Design, Deployment and Benchmark cites this paper.

Real-Time Frame- and Event-based Object Detection with Spiking Neural Networks on Edge Neuromorphic Hardware: Design, Deployment and Benchmark YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:21:05.822355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 66ba0b15-af76-4738-8f2b-076d14982c45 · inbound

Edge Deep Learning in Computer Vision and Medical Diagnostics: A Comprehensive Survey cites this paper.

Edge Deep Learning in Computer Vision and Medical Diagnostics: A Comprehensive Survey YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 180

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:30:55.589555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 74f07768-04d8-4f0a-bf6c-15099e8605c2 · inbound

LongCat-Video-Avatar 1.5 Technical Report cites this paper.

LongCat-Video-Avatar 1.5 Technical Report YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:33:50.642374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a583a825-13b4-463a-9977-a199eb21974a · inbound

Small Object Detection in Industrial Recycling: A New Dataset and YOLO Performance Evaluation cites this paper.

Small Object Detection in Industrial Recycling: A New Dataset and YOLO Performance Evaluation YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:13:48.881625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 99b26c22-498f-4151-8115-2f8779ff1307 · 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 YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:06:30.206744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0ce9d11d-8c21-4286-8790-e4240d250183 · inbound

Unification of Closed-Open Industrial Detection Scenarios: New Large-Scale Benchmarks,Challenges and Baselines cites this paper.

Unification of Closed-Open Industrial Detection Scenarios: New Large-Scale Benchmarks,Challenges and Baselines YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:47:23.233340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation cf8fe4f6-57f7-4d78-aa26-86f182e40ab2 · inbound

Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline cites this paper.

Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T20:57:23.259905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5b4a3964-d4b7-44b3-984d-05e395be81bc · inbound

Progressive Pixel-Neighborhood Deformable Cross-Attention for Multispectral Object Detection cites this paper.

Progressive Pixel-Neighborhood Deformable Cross-Attention for Multispectral Object Detection YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-04T15:49:57.398059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 84f433b5-40fb-4dfb-9cba-d16646a0d1b7 · inbound

Hippocampus-DETR: An Explicit Memory Object Detection Framework Based on Hippocampus Modeling cites this paper.

Hippocampus-DETR: An Explicit Memory Object Detection Framework Based on Hippocampus Modeling YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:13:53.455707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2b00bf5b-0d3b-409d-b137-cd77950ab7c4 · inbound

An Intelligent-Cloud Edge Multimodal Interaction System for Robots cites this paper.

An Intelligent-Cloud Edge Multimodal Interaction System for Robots YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T01:27:55.468740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d0d31c5-5f2c-4d96-8ceb-01140b2c4a26 · inbound

Attention from Above: A Multimodal Model for Drone-Based Object Localization cites this paper.

Attention from Above: A Multimodal Model for Drone-Based Object Localization YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T17:23:56.004512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7e193ed-0199-48e6-a942-7d8b8ff4d1e3 · inbound

Gaze-DETR: Top-Down Guidance Through Priority Maps for Infrared Weak-Small UAV Detection with DETR cites this paper.

Gaze-DETR: Top-Down Guidance Through Priority Maps for Infrared Weak-Small UAV Detection with DETR YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-01T13:41:19.377839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab3dca9a-2c7f-495a-bb53-87687251101b · inbound

Trustworthy AI in Digital Health: A Comprehensive Review of Robustness and Explainability cites this paper.

Trustworthy AI in Digital Health: A Comprehensive Review of Robustness and Explainability YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-04T10:56:16.859067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.