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Paper Citation Record · LEDGER

YOLOv11 for Vehicle Detection: Advancements, Performance, and Applications in Intelligent Transportation Systems

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.22898.

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

pith.paper-citation-record.v1
2410.22898 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:58:49.566302Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T17:28:02.159569Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ec2bd810-5b92-4f08-8b32-ae8064a7ff80 · inbound

YOLOv11 Optimization for Efficient Resource Utilization cites this paper.

YOLOv11 Optimization for Efficient Resource Utilization YOLOv11 for Vehicle Detection: Advancements, Performance, and Applications in Intelligent Transportation Systems

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:49.566302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:58:49.566302Z digest=sha256:22aa2282f90f28240ed3cbe35f81bca77683912e32e7804e8c961019d7435957

Observation 9c0bd7b3-8871-44b5-8b49-65e821c85685 · inbound

Optimizing Helmet Detection with Hybrid YOLO Pipelines: A Detailed Analysis cites this paper.

Optimizing Helmet Detection with Hybrid YOLO Pipelines: A Detailed Analysis YOLOv11 for Vehicle Detection: Advancements, Performance, and Applications in Intelligent Transportation Systems

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T00:36:05.247116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:36:05.247116Z digest=sha256:b4a27639297bf8637dc092ef44bbb574cc02e25017e85525b024e05b3a7e50bd

Observation 2a175cab-9a0e-41b1-988d-f16de3e23757 · inbound

Enhanced Vehicle Speed Detection Considering Lane Recognition Using Drone Videos in California cites this paper.

Enhanced Vehicle Speed Detection Considering Lane Recognition Using Drone Videos in California YOLOv11 for Vehicle Detection: Advancements, Performance, and Applications in Intelligent Transportation Systems

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T04:16:52.921205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:16:52.921205Z digest=sha256:a3d132b8db3465356dfffd79faaa5748522554f4309e66a226f027d0a2df5cae

Observation 58a8b59a-de8b-40d2-b10e-a037f7da48a1 · inbound

Intelligent Traffic Monitoring with YOLOv11: A Case Study in Real-Time Vehicle Detection cites this paper.

Intelligent Traffic Monitoring with YOLOv11: A Case Study in Real-Time Vehicle Detection YOLOv11 for Vehicle Detection: Advancements, Performance, and Applications in Intelligent Transportation Systems

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:28:02.160869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T17:27:10.231965Z digest=sha256:8e0bb95cbd9bed6d96589ea80d19a2c281108871073f81be00c06ffa09c3d7ef