Paper Citation Record · LEDGER

YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models

As of 20 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2605.24831.

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

pith.paper-citation-record.v1
2605.24831 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T12:19:02.584343Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

32 of 32 outbound references displayed

verified exact6
verified fuzzy25
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 287640a3-6f3b-4a61-a481-6189fd6a4bcf · outbound

This paper cites Real- time object detection in computer vision for quality control in industries.

YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models Real- time object detection in computer vision for quality control in industries

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T06:26:03.118197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 87c86cab-1a6c-4505-ad7a-4e8779112229 · outbound

This paper cites Yolov4: Optimal speed and accuracy of object detection, 2020.

YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models Yolov4: Optimal speed and accuracy of object detection, 2020

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T06:26:03.120993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 12e8c8ab-c97b-4c47-9aea-725c19953b86 · outbound

This paper cites arXiv preprint arXiv:2601.12882 , year =.

YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models arXiv preprint arXiv:2601.12882 , year =

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-06-30T12:24:39.828371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f6de3843-54e0-4569-be93-a9feed359185 · outbound

This paper cites an unresolved cited work.

YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-07-09T06:26:03.124376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e2147cba-c8ae-4a7b-a041-716d20a8424b · outbound

This paper cites A survey of quan- tization methods for efficient neural network inference.

YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models A survey of quan- tization methods for efficient neural network inference

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T06:26:03.114477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2891c2d3-c308-425f-873d-11589bc3587c · outbound

This paper cites Learning non-maximum suppression.

YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models Learning non-maximum suppression

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T06:26:03.154776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1650b523-9620-43d4-a831-fd2329befd69 · outbound

This paper cites Mff-yolov8: Small object detection based on multi-scale feature fusion for uav remote sensing images.

YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models Mff-yolov8: Small object detection based on multi-scale feature fusion for uav remote sensing images

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T06:26:03.127555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 524cb0df-40db-49d7-b927-dcd14343facb · outbound

This paper cites Computer vision for autonomous vehicles: Prob- lems, datasets and state of the art.Foundations and Trends in Computer Graphics and Vision, 12(1-3):1–308, 2020.

YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models Computer vision for autonomous vehicles: Prob- lems, datasets and state of the art.Foundations and Trends in Computer Graphics and Vision, 12(1-3):1–308, 2020

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T06:26:03.111271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e7fcfcb5-5a1d-48ec-a7d0-63d7ef50731a · outbound

This paper cites Ultralytics yolov5, 2020.

YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models Ultralytics yolov5, 2020

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T06:26:03.100023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dc0ef1de-4472-493e-95d8-d3d9e429f577 · outbound

This paper cites Ultralytics yolo11, 2024.

YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models Ultralytics yolo11, 2024

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T06:26:03.106916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6ea10d11-9d6c-4eb0-a35d-4149a5b36991 · outbound

This paper cites Ultralytics yolo26, 2026.

YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models Ultralytics yolo26, 2026

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T06:26:03.131154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 723b0e14-bba5-4a0e-8eef-470ce8ae6c95 · outbound

This paper cites Ultralytics yolov8, 2023.

YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models Ultralytics yolov8, 2023

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T06:26:03.176604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 799fdac1-dba6-44c5-9f0c-0fc82b7510df · outbound

This paper cites Muon: An optimizer for hidden layers in neural networks, 2024.

YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models Muon: An optimizer for hidden layers in neural networks, 2024

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T06:26:03.179364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fe020309-9bcc-4efc-b16f-9db498ec79ba · outbound

This paper cites YOLOv13: Real-Time Object Detection with Hypergraph-Enhanced Adaptive Visual Perception.

YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models YOLOv13: Real-Time Object Detection with Hypergraph-Enhanced Adaptive Visual Perception

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-30T12:24:39.825412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 097b7671-43e8-4d33-9221-bcae65c90085 · outbound

This paper cites Microsoft coco: Common objects in context.

YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models Microsoft coco: Common objects in context

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T06:26:03.166846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 016a8f9d-d7bc-483e-b70a-e42734090cb7 · outbound

This paper cites RT-DETRv2: Improved Baseline with Bag-of-Freebies for Real-Time Detection Transformer.

YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models RT-DETRv2: Improved Baseline with Bag-of-Freebies for Real-Time Detection Transformer

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-30T12:24:39.819600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e5d26991-35af-4309-9222-dd495ee5ce2e · outbound

This paper cites Yolo v3: Visual and real-time object detection model for smart surveillance systems (3s).

YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models Yolo v3: Visual and real-time object detection model for smart surveillance systems (3s)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T06:26:03.169787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 87bd6332-39b5-460a-96ab-0986fb375020 · outbound

This paper cites Yolo9000: better, faster, stronger.

YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models Yolo9000: better, faster, stronger

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T06:26:03.164413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e243867f-4043-4802-856a-63b3c77612a6 · outbound

This paper cites YOLOv3: An Incremental Improvement.

YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models YOLOv3: An Incremental Improvement

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-06-30T12:24:39.816733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8d36670d-1e95-4080-9ab4-71e68494636d · outbound

This paper cites You only look once: Unified, real-time object de- tection.

YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models You only look once: Unified, real-time object de- tection

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T06:26:03.096101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f87949cc-ec97-4cda-b3be-81c34e2a4216 · outbound

This paper cites Yolo26: Key architectural enhancements and performance bench- marking for real-time object detection.

YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models Yolo26: Key architectural enhancements and performance bench- marking for real-time object detection

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-06-30T12:24:39.813985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation db55af53-3dd8-4d9e-9c4e-bf33d99b2deb · outbound

This paper cites YOLOv26: An Object Detector Built for Real-Time Deployment.LearnOpenCV – Learn OpenCV , PyTorch, Keras, Tensorflow with code, & tutorials, 2026.

YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models YOLOv26: An Object Detector Built for Real-Time Deployment.LearnOpenCV – Learn OpenCV , PyTorch, Keras, Tensorflow with code, & tutorials, 2026

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T06:26:03.103809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 295e4d9a-e38f-47e3-8fe1-c2bfce74691f · outbound

This paper cites Quantizing YOLO v8 models.Medium,.

YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models Quantizing YOLO v8 models.Medium,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T06:26:03.158617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 11baccfb-024f-4eed-b6d8-e077b62a65e5 · outbound

This paper cites Dbyolov8: Dual- branch yolov8 network for small object detection on drone image.International Journal of Advanced Computer Science & Applications, 16(1), 2025.

YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models Dbyolov8: Dual- branch yolov8 network for small object detection on drone image.International Journal of Advanced Computer Science & Applications, 16(1), 2025

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T06:26:03.161645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7b12347f-b770-41d9-826e-e477bb3cea12 · outbound

This paper cites A comprehensive review of yolo architectures in computer vision: From yolov1 to yolov8 and yolo-nas.Machine learning and knowledge ex- traction, 5(4):1680–1716, 2023.

YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models A comprehensive review of yolo architectures in computer vision: From yolov1 to yolov8 and yolo-nas.Machine learning and knowledge ex- traction, 5(4):1680–1716, 2023

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T06:26:03.173908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 73868501-ef61-49d8-a674-8288d8122144 · outbound

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

YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models YOLOv12: Attention-Centric Real-Time Object Detectors

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-06-30T12:24:39.822536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1c192009-d4ce-4974-bc86-1d1636104c86 · outbound

This paper cites Rethinking PASCAL-VOC and MS-COCO dataset for small object detection.Journal of Vi- sual Communication and Image Representation, 93:103830,.

YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models Rethinking PASCAL-VOC and MS-COCO dataset for small object detection.Journal of Vi- sual Communication and Image Representation, 93:103830,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T06:26:03.151200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e5a63f41-e142-46c3-9e89-e75fd468d602 · outbound

This paper cites Yolov10: Real-time end-to- end object detection.Advances in neural information pro- cessing systems, 37:107984–108011, 2024.

YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models Yolov10: Real-time end-to- end object detection.Advances in neural information pro- cessing systems, 37:107984–108011, 2024

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T06:26:03.147667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 94025607-ea80-43a5-84d5-cc962a7130d0 · outbound

This paper cites Yolov9: Learning what you want to learn using programmable gra- dient information.

YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models Yolov9: Learning what you want to learn using programmable gra- dient information

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T06:26:03.133924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 95b39928-f617-44c7-af29-010acd1d0d12 · outbound

This paper cites Q-petr: Quant-aware position embedding transformation for multi-view 3d object detection.arXiv e-prints, pages arXiv–2502, 2025.

YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models Q-petr: Quant-aware position embedding transformation for multi-view 3d object detection.arXiv e-prints, pages arXiv–2502, 2025

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T06:26:03.137476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ba0848ac-faf9-479d-9fb1-6d7f1dd8d183 · outbound

This paper cites An im- proved yolov5 real-time detection method for small objects captured by uav.Soft Computing, 26(1):361–373, 2022.

YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models An im- proved yolov5 real-time detection method for small objects captured by uav.Soft Computing, 26(1):361–373, 2022

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T06:26:03.140656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 963ed4aa-b3a9-48a8-8760-41736aa268a1 · outbound

This paper cites Detection and tracking meet drones challenge.IEEE Transactions on Pattern Anal- ysis and Machine Intelligence, 44(11):7380–7399, 2021.

YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models Detection and tracking meet drones challenge.IEEE Transactions on Pattern Anal- ysis and Machine Intelligence, 44(11):7380–7399, 2021

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T06:26:03.144356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.