Pith. sign in

Paper Citation Record · LEDGER

YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2207.02696.

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

pith.paper-citation-record.v1
2207.02696 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:56:28.440917Z

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

845
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f971748f-d7c2-4c86-9a59-4abbcafe4586 · inbound

XAMI -- A Benchmark Dataset for Artefact Detection in XMM-Newton Optical Images cites this paper.

XAMI -- A Benchmark Dataset for Artefact Detection in XMM-Newton Optical Images YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-24T00:33:40.131876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T00:29:09.172759Z digest=sha256:3d85c87fb4fc7f6bcac6c280285d93c5473d1a9958dd03e813730fcec0f035a9

Observation ae51a70f-67e6-4f94-b50c-a88db69244c3 · inbound

Drone Detection and Tracking with YOLO and a Rule-based Method cites this paper.

Drone Detection and Tracking with YOLO and a Rule-based Method YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-08T19:56:28.440917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:56:28.440917Z digest=sha256:d21a406ffd90ae51a151387904388e8a14e04ed35cd60edd9d6ff82dd4f07869

Observation 3dbe5862-0aa3-431f-8591-100f3b99d331 · inbound

Improved YOLOv7 model for insulator defect detection cites this paper.

Improved YOLOv7 model for insulator defect detection YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-08T13:36:41.067452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:36:41.067452Z digest=sha256:50e0b9072bc2ecdb1e565c6e3f760cf2aa89f602b3ea9e0da6afe40a1a164407

Observation a99eadda-4822-4b94-8fa1-a7a0450538f4 · inbound

Enhancing Certified Robustness via Block Reflector Orthogonal Layers and Logit Annealing Loss cites this paper.

Enhancing Certified Robustness via Block Reflector Orthogonal Layers and Logit Annealing Loss YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T15:32:23.068781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:32:23.068781Z digest=sha256:772c55fff2076fa8b33e9e95f2bd9911f82f358ae8eb60c2ec2f938f386dc287

Observation 505f4a93-8bd5-4ccc-843a-b8fc9edeaed1 · inbound

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images cites this paper.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T13:53:13.683522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:53:13.683522Z digest=sha256:e6f1c717fc34d1e0fc409afceb498645114b4adf7d417154dd548b4a842e3723

Observation 85c7b568-d1de-401f-953d-5fc5757896d4 · inbound

LifeIR at the NTCIR-18 Lifelog-6 Task cites this paper.

LifeIR at the NTCIR-18 Lifelog-6 Task YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T13:46:26.224045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:26.224045Z digest=sha256:666e771f930fd783ace0ce5f8dfff5b83b49e9df40fb9f173cc87901bcfbfe00

Observation 2958fbca-bbce-4f00-b775-956194f5704f · inbound

YOLO-SPCI: Enhancing Remote Sensing Object Detection via Selective-Perspective-Class Integration cites this paper.

YOLO-SPCI: Enhancing Remote Sensing Object Detection via Selective-Perspective-Class Integration YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T13:34:19.114601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:34:19.114601Z digest=sha256:efbcf14de40fca10273415cf4fbb044018414b8a8a22d18aabe8373a593be0a5

Observation c4f3fd18-1e4b-4914-8321-11e1c50b9987 · inbound

Data-Efficient Challenges in Visual Inductive Priors: A Retrospective cites this paper.

Data-Efficient Challenges in Visual Inductive Priors: A Retrospective YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 148

Resolution
unresolved
no resolver link, observed 2026-08-07T05:10:59.661024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:59.661024Z digest=sha256:ae4013d85cb704fb1447f1fdc8308486f814aae61b36266922f2152b3c19ff3c

Observation 4f6e5a03-dd78-40ef-b833-f1f00656ae31 · inbound

Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection cites this paper.

Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T16:31:06.642306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:31:06.642306Z digest=sha256:0318e76c6d00806d45bb2aa20960c9f24345b709cf4235fd65d5b2ed379f7f3f

Observation d97101f4-83ad-4a0a-b906-b63a355abc68 · 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 YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T05:15:42.658238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:15:42.658238Z digest=sha256:0712e285e1e1511af99abf6c05ff6f182da25b70accb9023a965ca2ae6619472

Observation e1480bfd-211b-4f3a-80af-099bd30c2593 · inbound

Single Domain Generalization in Diabetic Retinopathy: A Neuro-Symbolic Learning Approach cites this paper.

Single Domain Generalization in Diabetic Retinopathy: A Neuro-Symbolic Learning Approach YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-05T11:24:06.628323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:24:06.628323Z digest=sha256:68082b7fcb80a5f7c6ed2782ec8d73fc3716bd364674193a60bc223c631ec638

Observation b555655d-ee1a-4b44-ac68-19c58bc2f017 · inbound

Integrated Detection and Tracking Based on Radar Range-Doppler Feature cites this paper.

Integrated Detection and Tracking Based on Radar Range-Doppler Feature YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-04T23:33:40.598897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:33:40.598897Z digest=sha256:7c6d5f100960a826e3d895b69d274d3a2773fed5c1a86f830040591ad3c0f65b

Observation a548d6e6-e13e-445a-8d65-f6665e828037 · inbound

Automated Radiographic Total Sharp Score (ARTSS) in Rheumatoid Arthritis: A Solution to Reduce Inter-Intra Reader Variation and Enhancing Clinical Practice cites this paper.

Automated Radiographic Total Sharp Score (ARTSS) in Rheumatoid Arthritis: A Solution to Reduce Inter-Intra Reader Variation and Enhancing Clinical Practice YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-04T23:05:13.719506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:05:13.719506Z digest=sha256:da29a24ad71f2ad36342eefb399a488e1406f8249cab0cb5c6d75c8295b4a4b9

Observation d53210cd-a1c3-4e9d-9fbc-39315e256056 · inbound

A smart fridge with AI-enabled food computing cites this paper.

A smart fridge with AI-enabled food computing YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-04T22:18:50.360633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:18:50.360633Z digest=sha256:9e90b23bbb99f6995d8771d6c58eee18622af6804000d9139b720a513855c075

Observation 81dc4a54-e22e-4f3b-af42-377e695a8b2f · inbound

SplatSearch: Instance Image Goal Navigation for Mobile Robots using 3D Gaussian Splatting and Diffusion Models cites this paper.

SplatSearch: Instance Image Goal Navigation for Mobile Robots using 3D Gaussian Splatting and Diffusion Models YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-03T21:59:01.098374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:59:01.098374Z digest=sha256:3e38c3be82f0f4db50bb1ac246aa5a0e0ac1641cc7b1be2c541cb2110d18f081

Observation 303a1962-01b3-4dfd-aa91-e90327f17fd1 · inbound

PEPR: Privileged Event-based Predictive Regularization for Domain Generalization cites this paper.

PEPR: Privileged Event-based Predictive Regularization for Domain Generalization YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 54

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T07:40:44.095857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T07:37:38.263234Z digest=sha256:78ef9be8b702a61da253ecb422e16c9cdb1244df4279f301b74f73627f685076

Observation e5974c11-60d4-4937-856f-fd5973ec67d3 · inbound

Resonance-enhanced integrated acousto-optic beam steering cites this paper.

Resonance-enhanced integrated acousto-optic beam steering YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 25

Resolution
unresolved
no resolver link, observed 2026-07-15T11:55:40.564848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T11:55:40.564848Z digest=sha256:f6ebe9ffcb3651a44a138119b5a993b665175917108f64e431d836187ca3d515

Observation dc78ffcd-2360-43bb-a276-b6b29c6939b9 · inbound

RareSpot+: A Benchmark, Model, and Active Learning Framework for Small and Rare Wildlife in Aerial Imagery cites this paper.

RareSpot+: A Benchmark, Model, and Active Learning Framework for Small and Rare Wildlife in Aerial Imagery YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 66

Resolution
malformed identifier
arxiv_id, observed 2026-05-11T13:06:04.079910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T02:23:12.772603Z digest=sha256:3596d8c59780de95c8e125932682e2382fe8dfe602aa7e4cfe0cfcb3d91baf17

Observation 9b105832-257c-41b1-96bf-c0242e63a09e · 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 YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 79

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T13:16:20.597532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T02:01:47.384228Z digest=sha256:524a35c67081530ad4b0cbb38f1f1f7fe4515b19a9e053c7948c2cf4c73c6e65

Observation c2baa796-d80a-4f63-bbdd-e3abea924a6b · inbound

Explainable Part-Based Vehicle Classifier with Spatial Awareness cites this paper.

Explainable Part-Based Vehicle Classifier with Spatial Awareness YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 73

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T03:10:53.381735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T02:38:06.466358Z digest=sha256:15ada4fddc4527b4eafc063bf703f2b2c957f600849592e37e287593733f4ca1

Observation defc84b9-98d3-4645-8d19-4bd01e27af6c · inbound

Comparative blobs and holes dynamics in a tokamak plasma: deep learning analysis of fast imaging data cites this paper.

Comparative blobs and holes dynamics in a tokamak plasma: deep learning analysis of fast imaging data YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-19T23:47:52.083336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T23:44:13.625505Z digest=sha256:bc559ca9fbebee09a0e7d979d16d11fc463259e1b2f9a2b2bc02085a6ade77c2

Observation 43b001c0-7b7c-44c0-91a2-ddc50cdbec42 · inbound

HYolo: An Intelligent IoT-Based Object Detection System Using Hypergraph Learning cites this paper.

HYolo: An Intelligent IoT-Based Object Detection System Using Hypergraph Learning YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-02T06:36:44.101199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T07:19:47.836183Z digest=sha256:f2ed14b6acabaa6e3d6cbe1d98829109fcdcaf7654b0f7bfdb0a58e2fd3b6f22

Observation e6ab398b-232b-428c-8558-012cda4eb14d · 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 YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 48

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T20:57:23.257321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T20:03:13.515338Z digest=sha256:ad4d131520e35a5b4d4775da7ba0a0b0a512f9c66eec74ffdaba324ec1507e01

Observation 66da6b05-768f-4c30-aabf-fdfddf8dbb19 · 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 YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T04:53:06.249361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T04:47:16.684080Z digest=sha256:902a0e418ad7baf517b540952226706606e34916148dd700fab812289f2d549b

Observation acb62dcf-36e2-423e-9492-1e6d2e93ccb4 · inbound

FedTR: Federated Learning Framework with Transfer Learning for Industrial Visual Inspection cites this paper.

FedTR: Federated Learning Framework with Transfer Learning for Industrial Visual Inspection YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-07-10T13:47:05.764458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T13:44:41.001497Z digest=sha256:37edbe03dc6a0bf66fbe80ff885648c36b680fa2969633c04e0bec53e9357b07

Observation e682bd75-857d-4d66-a2e5-534d28b5cd93 · 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 YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-01T13:41:19.574782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:41:19.574782Z digest=sha256:ea65cd7bbc529cdbf3da194e1aadb5eae9647bbcf65fc0ddd316241ae11c4287

Observation 2c75803d-61fa-4159-bcdc-bf03429ab526 · inbound

CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer cites this paper.

CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-08T12:21:13.982576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:21:13.982576Z digest=sha256:d5187a5a3a69561fbb2c17a14e028cd7dd1bcd2e1a4957d4bb1d04356ec26a80