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Paper Citation Record · LEDGER

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11

As of 19 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2412.01983.

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

pith.paper-citation-record.v1
2412.01983 v2

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:05:40.912381Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

51 of 51 outbound references displayed

  • verified exact2
  • verified fuzzy36
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 894531b8-d779-438c-9392-bfc212e1a9c8 · outbound

This paper cites An efficient smart parking pricing system for smart city environment: A machine-learning based approach.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 An efficient smart parking pricing system for smart city environment: A machine-learning based approach

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.615359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.690263Z digest=sha256:5ed1137810e35c70ad5e0497529a3321ce4679099a7d1014f094dfaeb6d84837

Observation 6343db21-e745-462b-9a56-2f7725904cce · outbound

This paper cites Weinberger, Adam Millard-Ball, and Robert C.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Weinberger, Adam Millard-Ball, and Robert C

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.599768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.695641Z digest=sha256:ee56e2fca8527ad4bf5040123e2d2155094cfb98a6827ec6bc2754f99ec7908e

Observation c3fcb8a1-34f0-400c-bb6d-61582e53ddc0 · outbound

This paper cites Smart cities survey.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Smart cities survey

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.587094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.700623Z digest=sha256:9ef759cf599e6b384c024d9b0a52fe8c7f7d37ab97a1e211635e57cf56175540

Observation f560f4ec-2026-4a6f-aeef-0071232a3e0f · outbound

This paper cites A survey of smart parking solutions.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 A survey of smart parking solutions

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.573205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.704745Z digest=sha256:2f592404818d99febe9d75db5c6367da855f0f40e553ee1d99e0c684c500f1cd

Observation c2fd28cd-b81c-4ad4-a57b-5a6e6fa43b1a · outbound

This paper cites an unresolved cited work.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:05:41.559198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.709403Z digest=sha256:10240e640aa906ede9ff910158a097575e2e7fd2f1b961d1574d02d05a41442b

Observation df55cda2-a2e9-4e52-94de-e9851526712c · outbound

This paper cites Deep learning for decentralized parking lot occupancy detection.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Deep learning for decentralized parking lot occupancy detection

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.544227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.713928Z digest=sha256:7b0d3e868a20289a7a2d40eb9d23d042c0e620cdfd9e78f7cb856b9d1838b05b

Observation d50f068a-2ac3-4892-9c15-b5ecec35a6af · outbound

This paper cites A review of smart parking systems.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 A review of smart parking systems

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.530002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.719136Z digest=sha256:b25ab12296ee89d47644380d8d72e0f2f62961aac20e574a704af0fbd6f277d7

Observation 1ba8b060-1872-4c29-aa08-7fd37e97b361 · outbound

This paper cites Automatic parking space detection system based on improved yolo algorithm.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Automatic parking space detection system based on improved yolo algorithm

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.516945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.723446Z digest=sha256:c63746a5ba828ee4de995e27873692f1e3b73790fba289e7c17bfe38dac1d0e0

Observation ddd0afef-811a-45aa-99ab-ab3c63fce600 · outbound

This paper cites Smart parking applications using rfid technology.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Smart parking applications using rfid technology

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.503446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.727407Z digest=sha256:da1da82f5fb47a505a34f57fc87aaa126fc502279eface0f6d608574e8a9183b

Observation 52bfc8b4-082e-42c7-9689-fa126c98369a · outbound

This paper cites Car park system: A review of smart parking system and its technology.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Car park system: A review of smart parking system and its technology

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.490172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.731877Z digest=sha256:918364715c65cad6c292bf011af35d970a6fd39f28983925858be1cf869d5ef0

Observation 89e83c36-65aa-4824-8f3c-ded3a81bd601 · outbound

This paper cites Detecting cars in uav images with a catalog-based approach.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Detecting cars in uav images with a catalog-based approach

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.476285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.736424Z digest=sha256:95e90b67c75e93f4757d045650ffc1fe551385fc7f9ae32e3dae99c64d81239d

Observation 778b410f-af7d-4e21-b9a9-f1f494e4158d · outbound

This paper cites A survey of deep learning techniques for vehicle detection from uav images.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 A survey of deep learning techniques for vehicle detection from uav images

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.461907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.741516Z digest=sha256:a1f6dd86af1ba3095f045d6bdb5e729f6f73eaedd8882344058ab8b7479de370

Observation 2ee5f15e-0ffa-472e-9e08-494984a5faaf · outbound

This paper cites Machine vision smart parking using internet of things (iots) in a smart university.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Machine vision smart parking using internet of things (iots) in a smart university

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.444972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.746215Z digest=sha256:e1c054bbb28d77d2dadac6e4b5f081e5afe79cd44d2c1b1e5c054f929707d7d9

Observation b442d111-adf1-469f-be2e-79eb92acccf9 · outbound

This paper cites Real-time image-based parking occupancy detection using deep learning.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Real-time image-based parking occupancy detection using deep learning

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.430938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.750244Z digest=sha256:325811dda6cba6bc9ce5e79f5cc45ba8355e717b74515768a827151d1f8e7d62

Observation 205a0c1f-3fe7-4878-9a8c-372115c65bf9 · outbound

This paper cites Pklot–a robust dataset for parking lot classification.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Pklot–a robust dataset for parking lot classification

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.417537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.753560Z digest=sha256:cfac33042217178b28c0314190b8278c833ccc039efd49716cbf59b522166af4

Observation 1e697f51-f4f7-4028-98c7-d81be82e0805 · outbound

This paper cites An edge based smart parking solution using camera networks and deep learning.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 An edge based smart parking solution using camera networks and deep learning

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.399917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.758322Z digest=sha256:e3977b931c74f182997b5429113b802c0fe8ff239c0223af407f54f889d81175

Observation d24cfb71-1c49-40a6-a78f-accfa2cc6cab · outbound

This paper cites The nvidia ai city challenge.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 The nvidia ai city challenge

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.385430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.763172Z digest=sha256:d799878db5e758dcdedca4611766bda69e895e4248793f2cd276162000784b56

Observation fcfe6aca-a25b-4758-92eb-53654e1bec60 · outbound

This paper cites T-yolo: Tiny vehicle detection based on yolo and multi-scale convolutional neural networks.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 T-yolo: Tiny vehicle detection based on yolo and multi-scale convolutional neural networks

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.370312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.768076Z digest=sha256:30a35538c51345b21f42df83dedad3dfea82089ff1eeb76f836cc81061620f79

Observation 95658ca6-89e5-4580-827c-639440f04f00 · outbound

This paper cites Real-Time Parking Space Detection and Management with Artificial Intelligence and Deep Learning System , pages 127–139.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Real-Time Parking Space Detection and Management with Artificial Intelligence and Deep Learning System , pages 127–139

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.354352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.772548Z digest=sha256:1a6597bf114ff007be9bdbfaa03ec46c604c4ddd0f4c7bdc9c1dcb36812c6b3a

Observation 1c7eb6c4-2b76-4f4a-aec8-3c69d8c6977c · outbound

This paper cites Nithya, V.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Nithya, V

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.338956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.777676Z digest=sha256:d02078c561740cadb2386ca03b5217c6119ea1ed05c2b80c61595a0d6d16b32e

Observation c686fbce-3e59-4471-a924-2c856c03d7a5 · outbound

This paper cites Smart parking space detection under hazy conditions using convolutional neural networks: a novel approach.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Smart parking space detection under hazy conditions using convolutional neural networks: a novel approach

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.325278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.781919Z digest=sha256:9faaf0a55ba66d522a55ddb3d39d4055dfbd3339f9280aa6c68b9fbff5f413fc

Observation 71b47c6d-95bc-429d-8918-1af858644cb0 · outbound

This paper cites Car parking occu- pancy detection using smart camera networks and deep learning.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Car parking occu- pancy detection using smart camera networks and deep learning

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.311862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.785594Z digest=sha256:5cbb46a1cc1816eac5980bd2fce2b29b4ddddd974e565896e8acb918acb98755

Observation cf06be77-526c-45ec-ae1a-4e28cdb0e4fb · outbound

This paper cites Optimized real-time parking management framework using deep learning.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Optimized real-time parking management framework using deep learning

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.299308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.789268Z digest=sha256:23c9edd9a1a515b7460a5084a4972abd653a11d6bca6e0e4138764c4cdc73ad6

Observation 5e98135f-566f-4eb0-b17f-c83ed81b13df · outbound

This paper cites Comparision of yolo models for object detection from parking spot images.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Comparision of yolo models for object detection from parking spot images

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.287405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.792933Z digest=sha256:56115d419e09617e514f8e00c9ae6bfd7930d0ce4d9b9b4fc53b5ad08167dd98

Observation 2e0ecc9d-90ca-4557-b7dc-d3f806602f63 · outbound

This paper cites Comparative analysis of yolov8 and yolov10 in vehicle detection: Performance metrics and model efficacy.Vehicles, 6(3):1364– 1382, 2024.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Comparative analysis of yolov8 and yolov10 in vehicle detection: Performance metrics and model efficacy.Vehicles, 6(3):1364– 1382, 2024

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T00:05:40.796488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:05:40.796488Z digest=sha256:14728af78fa22d28ac90f3fb307342e3ad495c1fdb3e7fabaf7c32abc42b1447

Observation bc18b5ec-a3ee-4f7b-a960-f0d76cc9b149 · outbound

This paper cites A wsn and vision based smart, energy efficient, scalable, and reliable parking surveillance system with optical verification at edge for resource constrained iot devices.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 A wsn and vision based smart, energy efficient, scalable, and reliable parking surveillance system with optical verification at edge for resource constrained iot devices

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.268103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.800628Z digest=sha256:4bc235a565bdcbf52f6a18c3b5a66b13e90f38eb1030980fd9f28afbe1011bd6

Observation 70ea47d3-4ad8-4a5c-aff9-e1fd24f09880 · outbound

This paper cites Image-Based Parking Space Occupancy Classification: Dataset and Baseline.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Image-Based Parking Space Occupancy Classification: Dataset and Baseline

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-12T00:05:41.034285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.805901Z digest=sha256:88a0c20038cdbe7e41a44baee3eca2d0959e6d9a768368f05fb042afe90a4a0f

Observation ae02d2d7-2693-4c3f-9a25-51605d6c9ab3 · outbound

This paper cites Edge intelligence: Paving the last mile of artificial intelligence with edge computing.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Edge intelligence: Paving the last mile of artificial intelligence with edge computing

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T00:05:40.811179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:05:40.811179Z digest=sha256:9eb7e44c4c037124db46d795b5a45ee455de7961e403e956488126224eac58d0

Observation 7dfdaffc-1dfa-46a1-ab33-a234b21e7f6a · outbound

This paper cites Edge intelligence: Challenges and opportunities of near-sensor machine learning applications.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Edge intelligence: Challenges and opportunities of near-sensor machine learning applications

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.247357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.816863Z digest=sha256:6db525818a7f772de49317c0412bd6d52292f495cdc46b6dde7289a46a22a1bb

Observation 19919c97-bce9-4fd9-bea1-24c700156cf9 · outbound

This paper cites Staying at the edge of privacy: edge computing and impersonal extraction.Media and Communication, 8(2):270–79, 2020.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Staying at the edge of privacy: edge computing and impersonal extraction.Media and Communication, 8(2):270–79, 2020

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.234725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.821889Z digest=sha256:11d93e5b2380ab839fa683779083943d989f0ba6881e239dfd4bcecce40621a1

Observation 256d648b-a0c8-4d1a-913d-a88e036f7ab9 · outbound

This paper cites YOLO advances to its genesis: a decadal and comprehensive review of the You Only Look Once (YOLO) series.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 YOLO advances to its genesis: a decadal and comprehensive review of the You Only Look Once (YOLO) series

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-12T00:05:40.826073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:05:40.826073Z digest=sha256:4496c20c1b6e3aa294919e13d61f35357682259bc79a0da8e37de810d60cd205

Observation d08d5a84-057b-490f-837e-4ae0c40ec6f2 · outbound

This paper cites In object detection deep learning methods, yolo shows supremum to mask r-cnn.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 In object detection deep learning methods, yolo shows supremum to mask r-cnn

Reference 32

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raw_fallback, observed 2026-08-12T00:05:41.221340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.831142Z digest=sha256:84bd12b073c88cc235cc15393bf4b4fc0f991c35e9d8a85c7b7650ec2c75f779

Observation f7bfc3f4-5e92-4105-a2df-dd28a4f3f335 · outbound

This paper cites Reaproveitamento de tv boxes para aplicação de contagem de pessoas na borda em cidades inteligentes.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Reaproveitamento de tv boxes para aplicação de contagem de pessoas na borda em cidades inteligentes

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.208501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.835059Z digest=sha256:596d2a66d11eb0133f167d4ad06f64507a57fb5cde95e3f31836fb96ab02bb21

Observation 557e996d-1a3a-43c3-93af-24599f3ba265 · outbound

This paper cites Enhancing covid-19 safety: Exploring yolov8 object detection for accurate face mask classification.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Enhancing covid-19 safety: Exploring yolov8 object detection for accurate face mask classification

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.196191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.840283Z digest=sha256:4d34b9b3d877e1d126a96698c238a544b54a16abf25248ccb305b26f528ddacd

Observation 2e36e663-32db-4ffb-b87d-8a20cbc78bf6 · outbound

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

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 You only look once: Unified, real-time object detection

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-12T00:05:40.844784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:05:40.844784Z digest=sha256:dabc814894ca07e8dbb498c418469f88c99e55a0ae27c61897bda62f1418243f

Observation b9d1804a-422a-4ae2-89e8-edcded88ef24 · outbound

This paper cites YOLOv1 to YOLOv10: The fastest and most accurate real-time object detection systems.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 YOLOv1 to YOLOv10: The fastest and most accurate real-time object detection systems

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-12T00:05:40.992953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.850726Z digest=sha256:6bd0fe0e73be73ffe520ac844d0be3cfd11ffd63aeedfb1e4aa5dc516ec758f8

Observation 2e62c3ab-6df5-4055-b1b0-349dcf7fec3d · outbound

This paper cites Feature pyramid networks for object detection.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Feature pyramid networks for object detection

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-12T00:05:40.856162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:05:40.856162Z digest=sha256:b9385ed990e5559d2445a45db0fbb23f06a33ffb5c47f90ed1b62187f92fbb4a

Observation 2748da39-c07e-46eb-8e86-ba11d8e8302d · outbound

This paper cites Spatial pyramid pooling in deep convolutional networks for visual recognition.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Spatial pyramid pooling in deep convolutional networks for visual recognition

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T00:05:40.859687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:05:40.859687Z digest=sha256:f384301dcef9f749e1145ef8ba8478b50da08239612c0fd5ad472510666d5d07

Observation 0767371e-c495-4b81-aaec-b5544954ef78 · outbound

This paper cites Path aggregation network for instance segmentation.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Path aggregation network for instance segmentation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T00:05:40.862990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:05:40.862990Z digest=sha256:979ba7a76b4dcaacca7728a40594a0a59809468163c5f1bcfa31e0d37286ccdf

Observation 9f29c1ba-c31b-4372-9f24-abdeb6b602a3 · outbound

This paper cites Ultralytics YOLO (Version 8.0.0).

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Ultralytics YOLO (Version 8.0.0)

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.151177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.868208Z digest=sha256:f85f1b53b500fdd80b4fb9d3b6fbf15f70c5aec080b1c3db03d4ea956ffd0b5e

Observation f71325d9-6e65-4501-ad2f-0b27bd595b46 · outbound

This paper cites A comprehensive review of yolo architectures in computer vision: From yolov1 to yolov8 and yolo-nas.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 A comprehensive review of yolo architectures in computer vision: From yolov1 to yolov8 and yolo-nas

Reference 41

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unresolved
no resolver link, observed 2026-08-12T00:05:40.872772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:05:40.872772Z digest=sha256:40a7ba3a23d1e7f5d7df0c9ed945340cb2aa22e27728eee8b0893074cea7d797

Observation 05ea8870-48f0-4fe2-baaf-4d601e232c18 · outbound

This paper cites YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-12T00:05:40.877138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:05:40.877138Z digest=sha256:87c81891d1d3f837f0c04f1c5053fb43a5a46ccf6c1bb7aca9a79389f99c7b5b

Observation 154932b5-1866-4255-908a-7b696b93675d · outbound

This paper cites YOLOv10: Real-Time End-to-End Object Detection.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 YOLOv10: Real-Time End-to-End Object Detection

Reference 43

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unresolved
no resolver link, observed 2026-08-12T00:05:40.881651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:05:40.881651Z digest=sha256:fd68edb87bf8d193a4a87be2cc05851a13837d6e5c82abe8a7acf0de05caad41

Observation 3f4a2cd9-4665-42fd-b42e-ccfa9418125a · outbound

This paper cites Ultralytics yolo11, 2024.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Ultralytics yolo11, 2024

Reference 44

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unresolved
no resolver link, observed 2026-08-12T00:05:40.885773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:05:40.885773Z digest=sha256:84711e9185bfca2d989373237ce908368e44c0ee2c01df1508fbfbb76a3f7318

Observation 691b4a34-4e85-4340-afc2-384fc5edfc5b · outbound

This paper cites Microsoft coco: Common objects in context.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Microsoft coco: Common objects in context

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-12T00:05:40.889569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:05:40.889569Z digest=sha256:566a1bb7b5db7ac914c7a735c6a214bdc910f921daa575b6dbd8116506318769

Observation 3b1d06dd-8dac-4670-9f98-043ed84f9b81 · outbound

This paper cites Cmca-yolo: A study on a real-time object detection model for parking lot surveillance imagery.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Cmca-yolo: A study on a real-time object detection model for parking lot surveillance imagery

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.114993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.893251Z digest=sha256:3a9d082657013c2dce095bf2852397b7cb958d28509c4c0bac7df2ec73d443f2

Observation ba43d2fe-030d-46d5-ac7f-aa7290fff5bb · outbound

This paper cites Yolo* c—adding context improves yolo performance.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Yolo* c—adding context improves yolo performance

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.101852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.897059Z digest=sha256:53af309aa83ca87ccb472013aad7767035a6f8c025f6b24009603cd0d5b68cfa

Observation 06d0e2eb-5e4c-40b9-badc-074aa3e0007f · outbound

This paper cites Impact of image context on deep learning for classification of teeth on radiographs.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Impact of image context on deep learning for classification of teeth on radiographs

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.089475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.900595Z digest=sha256:7f51ca5345b38a5bd59ade5670850ecd4364676ee7a7396c78a2306e360915a1

Observation 816558b3-fa55-479a-904e-bbf4c072e17e · outbound

This paper cites A camera- based smart parking system employing low-complexity deep learning for outdoor environments.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 A camera- based smart parking system employing low-complexity deep learning for outdoor environments

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.076816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.904265Z digest=sha256:f5382f3db2a1e7e4f2277588a4df739d74509bcc38af04482518cd203c9f5264

Observation 03338e61-7b59-428b-a142-6cef1d228f52 · outbound

This paper cites Repurposing of tv boxes for a circular economy in smart cities applications.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 Repurposing of tv boxes for a circular economy in smart cities applications

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.063019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.908404Z digest=sha256:499f7841aec4e9e2390d0a7362bbf874ab0a4450244f9f037a253418f3ff50c6

Observation be3a58bd-3db4-4d8d-bc3e-2b6a31fdc85f · outbound

This paper cites A survey of explainable artificial intelligence for smart cities.

Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11 A survey of explainable artificial intelligence for smart cities

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:05:41.049860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:05:40.912381Z digest=sha256:29b5b2a62ea8f1008934c5f00e5edce174cceedbdf97b79d98c757a01d6a1ee5

Pith citing papers

No inbound Pith citation observations are available.