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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 20 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 2026-08-20T06:33:59.587034+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

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.690263Z digest=sha256:f4e7062dea75372cb18367982958311049b16330b4754276a707afa149cf01e9

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.695641Z digest=sha256:06e1e8c5a4986a0ab2bd0eb52170b8012f4c7f0a50e036e721345f7687a3e905

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.700623Z digest=sha256:67ab03ed06f0e19a8be2f9847fa6fd7597d65f350bc2dcf9c306379d3b88b975

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.704745Z digest=sha256:32baba7095544f8505bea8dfe1f933282f812b284d9d2175f1fac279bfffcc38

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.709403Z digest=sha256:be3377d3ca7d3c0df8e3a11baf005936fa5128b06ee7c1cffa420c973f2fc83f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.713928Z digest=sha256:692c14415bc1133156691f4e3194ac3a853c2d08408fe03534dc505c62ad64d4

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.719136Z digest=sha256:4cdf04bb673c9b4d4eedba2dc472f01fffe8c65019e03c44353ac9100c195bba

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.723446Z digest=sha256:50f6a87215ad0a9c52a5947bfcde3aeac2adc20d4b1b3ca06133377adf0d376a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.727407Z digest=sha256:bdf8b41c49fd2d4c59598ab9ba50bbc3566aadd4dd3a871bab3c5f8fbea00203

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.731877Z digest=sha256:2ff4fe1616c167ae1725cf034de7b5dd7a442f5a05a323e0c69de2096f39a5eb

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.736424Z digest=sha256:ff13b38c9a656e87c06fe0fdba02aabc00ad82772d8ab25c9b749243001bbc80

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.741516Z digest=sha256:c80cdcd814a0b6f3e51da8a0aa3e048e27fe502fb284a53a35a89599cd60530e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.746215Z digest=sha256:a14e2ae3bda27cd2dfb42dc52b3d7604876104fd59cc6ef7e71dff659f8ebb24

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.750244Z digest=sha256:a69f7032113bbde5f018280a97b42c6c701633835aa98e45ed915b7b04709739

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.753560Z digest=sha256:afc17308ab689144f2883a35bcd73095442e51a809ab15b48dd180d802f42499

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.758322Z digest=sha256:d3799de82b834d38b8efa2f1059153fd63299280506b0b29772929f85dd35bf1

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.763172Z digest=sha256:943dadf0479c95fb04920d82043f43ccfdd3292c5b6b5f8e39934cdc364fabd8

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.768076Z digest=sha256:1cd055e08090c58362c06007a26d8e3b0d6ff61d8d86f18e321d2a68a57f5c6b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.772548Z digest=sha256:6fb362fd42aedf6e212d22217edea666c8e171d590d507cc506c1a8a5d7bd5c0

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.777676Z digest=sha256:fe7340e263fc7c9d67547342524112a1e40ac351e827f57af99677f7048dd0e9

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.781919Z digest=sha256:26a43649fbaf923bbf3dc1b8c7250ac913a8b59a8b8c7efc7f58de71deff4899

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.785594Z digest=sha256:9aae572f8c378e3b429603ec1a10b06888f373e7eed46178b4849ab5af693eaa

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.789268Z digest=sha256:65aadc3139eeffb0ab713327927b01db833bb54a5e7c9cdee9a3b812d98655c7

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.792933Z digest=sha256:ecc0dcec2654eb4b8d7acd02139934c60d75330da714599d986903a341398c36

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.800628Z digest=sha256:a0786b27f9e2291d050847a654411fce422f045daa1083eaa510782def14acba

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.805901Z digest=sha256:9b78d5ff29fa73bbabfd2973962a1dd26d6b5226d54e979601a8f48fd9fc6f43

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.816863Z digest=sha256:86a145a58e1b2e2a8e62dbc15c72693a96c8d6e396167263d1b3d94be3b3208e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.821889Z digest=sha256:b581b2344096aad1611759399f586e17b443dd2448b9682d79c4095fd950b833

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=sha256:17aed189229354e6e822f70f55e524f585756b7ec0467ba4f3b6de24b6d6bb26

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

Resolution
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.831142Z digest=sha256:15afb02adcad64d033e8672b4dc4f0ed73e4fb2677fd3d195bd92f17d1c572d8

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.835059Z digest=sha256:32fe9e1194272b03a3ec747945c91e7413e4c126da23cd4452e5644e5925d97d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.840283Z digest=sha256:a53b043f1adfee105e47b3481da0577f4bb724e245741385dfbb2291fe34f41b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.850726Z digest=sha256:d341e6df72d6bddbb86a7864c3e6436f9152e32dca31a39c44304c7cb446c160

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.868208Z digest=sha256:cc51521c230d7c9ae524a430be8ea3214823c80feefa7b3a26c338edacee7a35

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

Resolution
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.893251Z digest=sha256:e67d366bf43790f7863f7e300688e192d7414f91c49b140744849ceb8766e04a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.897059Z digest=sha256:7024237cc315178f3af2492aa6105305226d7fc623bc8256ab6fd1b2d5d40d43

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.900595Z digest=sha256:1e79c31aaa9c8344abfe9575b133bf666af284ed63dd1dc07c4becf02d59fd5d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.904265Z digest=sha256:73c515f8c15feeaa4472c75c562bb84844fb77c4dec56bcfc5284c5b18ae4ce6

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.908404Z digest=sha256:c57fb43d5d745a16983b1561ac2f3f44213f86e816e501f4bed712e20b354bc5

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:05:40.912381Z digest=sha256:daa644ca48dde6cd6e645045ac46c81824204e3bc70a1a0751acb7fe84de4d85

Pith citing papers

No inbound Pith citation observations are available.