Paper Citation Record · LEDGER

YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 36 inbound Pith citation observations for arXiv:2402.13616.

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

pith.paper-citation-record.v1
2402.13616 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 36 of 36 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 36 of 36 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:05:07.158476Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

352
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 92d0de32-1089-4db5-a275-cc51d340540f · inbound

UAVDB: Point-Guided Masks for UAV Detection and Segmentation cites this paper.

UAVDB: Point-Guided Masks for UAV Detection and Segmentation YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:33:25.522162Z

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.

Observation 18e669b6-a5ea-43bf-aa72-9f656aaa6106 · inbound

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

YOLOv11: An Overview of the Key Architectural Enhancements YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-12T13:29:16.344977Z

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.

Observation 115e8b72-63ec-43e3-989a-b1cd81b8fe4d · inbound

YOLOv8 to YOLO11: A Comprehensive Architecture In-depth Comparative Review cites this paper.

YOLOv8 to YOLO11: A Comprehensive Architecture In-depth Comparative Review YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-23T05:12:34.650555Z

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.

Observation bda15267-a1b4-4db6-a3ec-eb0eaccb5d65 · inbound

YOLOv12: Attention-Centric Real-Time Object Detectors cites this paper.

YOLOv12: Attention-Centric Real-Time Object Detectors YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:35:11.210680Z

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.

Observation def4ab2c-00ff-48a8-9926-b18f86537d45 · inbound

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software cites this paper.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T12:05:07.158476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 174e4c6c-1edb-4d35-a46f-a390d7d495ab · inbound

AI-assisted radiographic analysis in detecting alveolar bone-loss severity and patterns cites this paper.

AI-assisted radiographic analysis in detecting alveolar bone-loss severity and patterns YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-22T01:20:52.224804Z

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.

Observation 22e05e71-c94b-4ed7-9add-47abc4245e63 · inbound

Improving Token-based Object Detection with Video cites this paper.

Improving Token-based Object Detection with Video YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T22:08:51.029107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8354a8e8-b067-474e-8021-e7521007e86f · inbound

3D Reconstruction and Information Fusion between Dormant and Canopy Seasons in Commercial Orchards Using Deep Learning and Fast GICP cites this paper.

3D Reconstruction and Information Fusion between Dormant and Canopy Seasons in Commercial Orchards Using Deep Learning and Fast GICP YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T20:44:15.023142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40df2cea-2ae9-4643-ab3a-13122a5035e6 · inbound

SOD-YOLO: Enhancing YOLO-Based Detection of Small Objects in UAV Imagery cites this paper.

SOD-YOLO: Enhancing YOLO-Based Detection of Small Objects in UAV Imagery YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T16:44:51.317026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4931f32-c68d-4474-8d38-363e190fdc77 · inbound

DCHM: Depth-Consistent Human Modeling for Multiview Detection cites this paper.

DCHM: Depth-Consistent Human Modeling for Multiview Detection YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T16:09:02.574346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b03c36f-8739-4e35-aa1c-219790e8c1ad · 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 YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T05:15:42.792878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ba64e75-f619-42a4-9bf0-5e6e4bc4bf22 · 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 YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T12:42:33.520636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96b4afcd-879b-49f6-a5b1-fd58673287a0 · inbound

KAMERA: Enhancing Aerial Surveys of Ice-associated Seals in Arctic Environments cites this paper.

KAMERA: Enhancing Aerial Surveys of Ice-associated Seals in Arctic Environments YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T15:40:45.392431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe646559-1b5b-49e5-b32f-f812a4a2fc11 · inbound

Deep Learning for Accurate Vision-based Catch Composition in Tropical Tuna Purse Seiners cites this paper.

Deep Learning for Accurate Vision-based Catch Composition in Tropical Tuna Purse Seiners YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T06:49:03.692113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73464175-6720-4ba6-bc60-2b9231204341 · inbound

DFIR-DETR: Frequency-Domain Iterative Refinement and Dynamic Feature Aggregation for Small Object Detection cites this paper.

DFIR-DETR: Frequency-Domain Iterative Refinement and Dynamic Feature Aggregation for Small Object Detection YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:45:29.690106Z

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.

Observation c4bca7da-618a-4408-86ef-a2d1d32014e2 · inbound

PaveSync: A Unified and Comprehensive Dataset for Pavement Distress Analysis and Classification cites this paper.

PaveSync: A Unified and Comprehensive Dataset for Pavement Distress Analysis and Classification YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T14:32:49.866480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9aa22c0-d672-4922-a2b0-9b939ad8ab5a · inbound

Street-Legal Physical-World Adversarial Rim for License Plates cites this paper.

Street-Legal Physical-World Adversarial Rim for License Plates YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 39

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T21:23:17.235119Z

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.

Observation 65ff62ce-50ec-41ec-a855-7cba1a030333 · inbound

DocRevive: A Unified Pipeline for Document Text Restoration cites this paper.

DocRevive: A Unified Pipeline for Document Text Restoration YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:45:57.349603Z

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.

Observation 839d0da0-ba66-471c-8501-930a38e71faf · inbound

DocRevive: A Unified Pipeline for Document Text Restoration cites this paper.

DocRevive: A Unified Pipeline for Document Text Restoration YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-25T06:40:25.510844Z

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.

Observation c7f4f36e-557b-42d3-bf0a-1adc078ea4b4 · inbound

Positioning radiata pine branches requiring pruning by drone stereo vision cites this paper.

Positioning radiata pine branches requiring pruning by drone stereo vision YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:50:58.798536Z

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.

Observation 58fa679d-33e6-4033-b283-03f38bfc5d74 · inbound

A Real-time Scale-robust Network for Glottis Segmentation in Nasal Transnasal Intubation cites this paper.

A Real-time Scale-robust Network for Glottis Segmentation in Nasal Transnasal Intubation YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:36:26.102675Z

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.

Observation 4fe30f0f-4093-435d-8ef8-d6330dd9da0d · inbound

Low-Cost Stereo Vision for Robust 3D Positioning of Thin Radiata Pine Branches in Autonomous Drone Pruning cites this paper.

Low-Cost Stereo Vision for Robust 3D Positioning of Thin Radiata Pine Branches in Autonomous Drone Pruning YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T08:36:27.056547Z

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.

Observation cb360b42-87e4-40df-868d-f171a16d150c · inbound

AnyDepth-DETR/-YOLO: Any-depth object detection with a single network cites this paper.

AnyDepth-DETR/-YOLO: Any-depth object detection with a single network YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:21:18.624012Z

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.

Observation 28d4ed8a-266a-4661-92db-76bc8a25290b · 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 YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:13:48.884200Z

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.

Observation f8758380-f799-45b3-86d3-60e01f8ac184 · inbound

RefDiffNet: Learning to Expose Subtle PCB Defects Before Detection cites this paper.

RefDiffNet: Learning to Expose Subtle PCB Defects Before Detection YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:52:35.702067Z

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.

Observation c819a615-08f2-432d-bfae-e7427e2a3c33 · inbound

Hierarchically Decoupled Mixture-of-Experts for Robust Traffic Sign Recognition in Complex Driving Scenarios cites this paper.

Hierarchically Decoupled Mixture-of-Experts for Robust Traffic Sign Recognition in Complex Driving Scenarios YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:26:18.110076Z

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.

Observation cf96992f-7764-4e16-8eae-e71d287972dc · inbound

Collaborative Space Object Detection with Multi-Satellite Viewpoints in LEO Constellations cites this paper.

Collaborative Space Object Detection with Multi-Satellite Viewpoints in LEO Constellations YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:56:16.574901Z

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.

Observation 707eab20-297f-4179-aa5e-d5e711ab76b9 · 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 YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 102

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T20:57:23.213687Z

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.

Observation 97333331-8f38-4900-ac5e-1c16ac9239dd · inbound

Fully Distributed Multi-View 3D Tracking in Real-Time cites this paper.

Fully Distributed Multi-View 3D Tracking in Real-Time YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T13:58:21.632417Z

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.

Observation 8588b3c0-2d98-4dc0-8b34-7894725b7de4 · inbound

Event-based Gaze Control System for Accurate Real-time Spin Estimation in Professional Ball Games cites this paper.

Event-based Gaze Control System for Accurate Real-time Spin Estimation in Professional Ball Games YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T13:39:50.178534Z

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.

Observation 7e8fac66-2d28-4908-8972-223f3382e287 · inbound

Event-based Gaze Control System for Accurate Real-time Spin Estimation in Professional Ball Games cites this paper.

Event-based Gaze Control System for Accurate Real-time Spin Estimation in Professional Ball Games YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T09:25:41.445632Z

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.

Observation a2fd37fe-574d-4c8e-8e4e-90c427d259d7 · 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 YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:13:53.453040Z

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.

Observation c688c7bf-4d26-45e6-9a17-950c6ee3b949 · inbound

InfraNet: Quality-Aware RGB Guidance for Efficient Infrared Object Detection cites this paper.

InfraNet: Quality-Aware RGB Guidance for Efficient Infrared Object Detection YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 48

Resolution: unresolved; no resolver link, observed 2026-07-11T23:54:32.839280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc35aa8d-82f7-49d3-a771-ada681043d39 · inbound

Dual-Correlation Hypergraph Network for Unaligned RGBT Video Object Detection and A Large-scale Benchmark cites this paper.

Dual-Correlation Hypergraph Network for Unaligned RGBT Video Object Detection and A Large-scale Benchmark YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-07-10T11:37:03.131838Z

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.

Observation 6a9d5fba-216c-41b1-8a52-62069ad65662 · inbound

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

An Intelligent-Cloud Edge Multimodal Interaction System for Robots YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T01:27:55.698686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8c3c17b-54a2-4ffc-b1cc-dead8506a4fb · 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 YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-01T13:41:19.794001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.