Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 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

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Source: paper_references, paper_reference_links

measured 24 of 24 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 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:32:23.068781Z

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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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 2026-08-07T06:34:17.273281+00:00.

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

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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

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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

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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

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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

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

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

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

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

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

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

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

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

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

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

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