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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=sha256:2d307c2118fcb2f3480746b8fc0342659254d59e652d349dfb4299efc9900833

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

Resolution
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=sha256:5ad0e59c500944b12f7a6e5c328f0de53ac617b5c50296be60f1d67a7ab307ea

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

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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=sha256:967e152a2aedb4a7591e05e989441bd6bdd629989e2c56941d700c66728a48a5

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=sha256:27880ed39a1f394dba6b383ed0a8bce58fcba4985f66c32149b54d94b40f66e3

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:a28607560b85881a029b82704b0318f15e57dab10f59bbf8a99ea90a98dd55da

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:beb1f7befcca04fb7ca51553970b49a2b761903a39c96db535ee1048619f9494

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

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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=sha256:995c7ed4e8558fb455b68e54d466b804674c72fef210680acf848f1e6b260c1d

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=sha256:24b19bcf394f333b21a9d5eabb17496fdfe4404ceb837c614ac9f570001ca31b

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=sha256:40d4fb35364c24142dbb07d7ce024aa6227a01f381a918b34b5d79a3c74b9671

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=sha256:224d99611620e75ddcbb0870a2edd34b72609c808c237a034248d79dbd9a7a95

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=sha256:5f9481382e0a610f1838b2854aa047612be47180d38f094cd71a0c114943fd7b

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=sha256:20d58a5cf9947096971f1c8548795e5ea050c61507105b1e02517c8ae6f48627

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:f138edaf4b7fbbef4790bfa6743cc6daa1306b0dab76924c1515d356616e0e87

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=sha256:683e7973729b25152efa7373fa19453df16e975d3f9d9f0bb52ae4b10f66129c

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=sha256:14ed0b54a5e60b489da7165a1a1cf69a295a48717a9eb75d4fa4de1c8ca3ca55

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:aa32d339e51fd97e64f426ce480333091538846fa39f97581d84fbbfd86c78d5

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:db6aa5d3d6e87330acb921ddc95c4ea39012e284674aaa9beaba8f4cbc0b335c

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:fa3089f386ce5c6b5f58b080ce1f51a8dbb44b1fb829d60d3054d4a473a8a0a0

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:daee704131f2d227b413565ea558fc278abce930c8aa5db6ca1d0ea33ad4801b

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=sha256:4a897ba89a382552c1ecc02f212072271a91d2afc9c57e4c3ddf432922aad98d

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:b9d2d510a6859ad9f84efbf88f18942d04addb54428eb90d14be23f452f9a3f3

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:d46d7880999b1a4c91caa41fcc63082707f6e33935f48f93595cbdbe230e108a

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:b4c19828df098733af4195d198caccd0c8e9f4dec58cb346064657e8b9d65fd0

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=sha256:2a781b6c6d5cd8ccfcbedd124c3bbd9b03b58547613688b559c64285292a55cf

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:c3a38069d2bca3dd6439ab7e6ff3b3680c805827bab0eda518d0b80f3f221800

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=sha256:122d8588c6e2945e039d0c4445b8ebda0f8c635ee5d38648f4eff955e9e8bfa1

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:b50909c5c6f2a7b6a0d5bce65e94a13a74bd13260a028b04acb918a7f16247f5

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:fdcc97bd772d1f83dc6fa0cc015da78886a8c3436a1e609cbfb415dee73deb82

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=sha256:91c74166c4e2470829e3a01b7fd43653b7dcb961b9846862a147b06fd63bf115

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=sha256:7a78a2bbcfced865f94305d55ab9426b001c5e451db53872a1e54f40b2e72f1a

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=sha256:1e2885c6a10372ceb9155abe81675d06466993a03bf06e91824cdc4efb034113

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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verified fuzzy
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=sha256:2d94ec12f7bc94c1929469a06ea47e381c1e9d175283281e058fe93614428b0e

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:d48e6ff942439f4e1d77ebfb4d9c93a177b68677dba3e0959d68a18b9100d30a

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:a0dd19316163b6fb94ccf9d8733777f56a9ac363c2c609da2613f132aabed3e7

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=sha256:94c86606ff678fcc3dc9ee6951ab33e033a83d9969f86b2fba9bd8128e07773f

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=sha256:7eec74dfdd0946ab4b279c1b39c7ed987eaef6051d923163461faf81a3a00e7b

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

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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=sha256:5fbafca5e1179d2a3b9cc0e842b2ca7100c571ebc44ac422df0f722c8f1d70c5

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=sha256:1e2b4075a3b611729d31b5d6c4a7aa20c988328b01eda62216de2ad6db9ebede

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

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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=sha256:22ef755985bbffa2b61b48dd790e936cc29afd31ef9c03bd23a1b4e5b1dbf18a

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:b969026b3db0e336f3f431fab61966a431b6a33082a6c2867eecdbe6ae4d1046

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:cf0518634a6fb1287b2b79626326204ea1be03fc6fc80b5383672074494d2517

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

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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=sha256:9bc32b3944b83fa4df408fc730f2a6a2a8be5a69820934cabfbcbf50be05966c

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=sha256:46328dad4d397fe63ee8bbb4f2aa99aa75ec4b635096837b6c4263c35d909c21

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=sha256:088f07082e395db111f51c6e3ee313b9dfbb79465891d5d6d46d48893199c39d

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

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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=sha256:266f435aeb9fe1843a568c87e3b3c85ccbde7a0554fc84ed759a8387904e8d56

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=sha256:890a3582b70ee137b132a22649959a1b8016699e322800e6b299dc24709c9bc4

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:e2a80e7441e2134835d33f94b602909c5229e4698391be541cae1a5d3b2f1510

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=sha256:89fc0354ed432afe22fba4fa67cb12f4fbd965e367fb68dd7a2f4724efbad883

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:fe911edbab8f48b6c1056c055309b7d43df842a2563e99dec5ae9d9181daf0bc

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=sha256:1afce6875d64b90a89229611b0de04ca5247aa887e65e57ce484bf6dc9f28945

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:e41156f624fb1c4848277381ddcaa7f1c0a45ca4d6304b77cc1be8870f1754f1

Pith citing papers

No inbound Pith citation observations are available.