Paper Citation Record · LEDGER

A Digital Twin Framework for Traffic-Aware UAV Pavement Monitoring without Lane Closure

As of 18 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2606.20742.

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

pith.paper-citation-record.v1
2606.20742 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T20:33:30.187856Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

26 of 26 outbound references displayed

verified exact3
verified fuzzy0
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c3497d33-963e-4808-967d-20d28732a0c0 · outbound

This paper cites An architectural multi-agent system for a pavement monitoring system with pothole recognition in uav images,.

A Digital Twin Framework for Traffic-Aware UAV Pavement Monitoring without Lane Closure An architectural multi-agent system for a pavement monitoring system with pothole recognition in uav images,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-26T20:33:30.187856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6324a75-d250-41f6-91ee-31614644d471 · outbound

This paper cites Pothole detection using computer vision and learning,.

A Digital Twin Framework for Traffic-Aware UAV Pavement Monitoring without Lane Closure Pothole detection using computer vision and learning,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-26T20:33:30.187856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea12febc-eefb-4f7c-b1eb-91ecddd3969d · outbound

This paper cites A novel road maintenance prioritisation system based on computer vision and crowdsourced reporting,.

A Digital Twin Framework for Traffic-Aware UAV Pavement Monitoring without Lane Closure A novel road maintenance prioritisation system based on computer vision and crowdsourced reporting,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-26T20:33:30.187856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97bd602b-8b41-443e-9f9b-be360b64c95d · outbound

This paper cites Learning pothole detection in virtual environment,.

A Digital Twin Framework for Traffic-Aware UAV Pavement Monitoring without Lane Closure Learning pothole detection in virtual environment,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-26T20:33:30.187856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation beb248ad-2e63-4721-a55a-3456dfa72edc · outbound

This paper cites Fine-grained detection of pavement distress based on integrated data using digital twin,.

A Digital Twin Framework for Traffic-Aware UAV Pavement Monitoring without Lane Closure Fine-grained detection of pavement distress based on integrated data using digital twin,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-26T20:33:30.187856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d78d8bdd-c939-4414-803a-ab8b9625a8df · outbound

This paper cites Automated detection of pavement distress based on enhanced yolov8 and synthetic data with textured background modeling,.

A Digital Twin Framework for Traffic-Aware UAV Pavement Monitoring without Lane Closure Automated detection of pavement distress based on enhanced yolov8 and synthetic data with textured background modeling,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-26T20:33:30.187856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8fe6d13-86b7-4cc6-9e3f-d01b93a7acf5 · outbound

This paper cites Pds-uav: A deep learning-based pothole detection system using unmanned aerial vehicle images,.

A Digital Twin Framework for Traffic-Aware UAV Pavement Monitoring without Lane Closure Pds-uav: A deep learning-based pothole detection system using unmanned aerial vehicle images,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-26T20:33:30.187856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eeb3d622-d781-4620-9bbf-d10496e6209c · outbound

This paper cites Development of a cognitive digital twin for pavement infrastructure health monitoring,.

A Digital Twin Framework for Traffic-Aware UAV Pavement Monitoring without Lane Closure Development of a cognitive digital twin for pavement infrastructure health monitoring,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-26T20:33:30.187856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91ca6073-33dd-444a-be81-167dea12c912 · outbound

This paper cites Digital twin technology for road pavement,.

A Digital Twin Framework for Traffic-Aware UAV Pavement Monitoring without Lane Closure Digital twin technology for road pavement,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-26T20:33:30.187856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13aeff01-970c-4f3a-9ea3-b15e75ae8367 · outbound

This paper cites Towards a digital twin-based intel- ligent decision support for road maintenance,.

A Digital Twin Framework for Traffic-Aware UAV Pavement Monitoring without Lane Closure Towards a digital twin-based intel- ligent decision support for road maintenance,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-26T20:33:30.187856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80262e7b-7d66-4e3e-9311-25aa951e1582 · outbound

This paper cites Digital twin- driven pavement health monitoring and maintenance optimization using graph neural networks,.

A Digital Twin Framework for Traffic-Aware UAV Pavement Monitoring without Lane Closure Digital twin- driven pavement health monitoring and maintenance optimization using graph neural networks,

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-04T01:09:19.844141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 185d0a15-c0db-4840-a3cd-319099212ab2 · outbound

This paper cites A framework for using UA Vs to detect pavement damage based on optimal path planning and image splicing,.

A Digital Twin Framework for Traffic-Aware UAV Pavement Monitoring without Lane Closure A framework for using UA Vs to detect pavement damage based on optimal path planning and image splicing,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-26T20:33:30.187856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ae031dd-09a3-46e8-a736-71792ebbc788 · outbound

This paper cites A route planning method for UA V swarm inspection of roads fusing distributed droneport site selection,.

A Digital Twin Framework for Traffic-Aware UAV Pavement Monitoring without Lane Closure A route planning method for UA V swarm inspection of roads fusing distributed droneport site selection,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-26T20:33:30.187856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47e4e21b-0e0d-4bc5-ad9b-e96d333f0e51 · outbound

This paper cites Inspection and evaluation of urban pavement deterioration using drones: Review of methods, challenges, and future trends,.

A Digital Twin Framework for Traffic-Aware UAV Pavement Monitoring without Lane Closure Inspection and evaluation of urban pavement deterioration using drones: Review of methods, challenges, and future trends,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-26T20:33:30.187856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 996c2dc1-0921-43a1-8d1c-a83607193423 · outbound

This paper cites Assessment of uav usage for flexible pavement inspection using gcps: Case study on palestinian urban road,.

A Digital Twin Framework for Traffic-Aware UAV Pavement Monitoring without Lane Closure Assessment of uav usage for flexible pavement inspection using gcps: Case study on palestinian urban road,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-26T20:33:30.187856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a400921-4bc0-4237-a3b3-3ee92e3031e2 · outbound

This paper cites Rdd2022: A multi-national image dataset for automatic road damage detection,.

A Digital Twin Framework for Traffic-Aware UAV Pavement Monitoring without Lane Closure Rdd2022: A multi-national image dataset for automatic road damage detection,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-26T20:33:30.187856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 941c58e8-2368-41ec-84ea-6caac45d7ffc · outbound

This paper cites Yolov8-pd: an improved road damage detection algorithm based on yolov8n model,.

A Digital Twin Framework for Traffic-Aware UAV Pavement Monitoring without Lane Closure Yolov8-pd: an improved road damage detection algorithm based on yolov8n model,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-26T20:33:30.187856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0e7524b-347a-4273-819d-52b0ccab9c4f · outbound

This paper cites YOLO9tr: A lightweight model for pavement damage detection utilizing a generalized efficient layer aggregation network and attention mechanism,.

A Digital Twin Framework for Traffic-Aware UAV Pavement Monitoring without Lane Closure YOLO9tr: A lightweight model for pavement damage detection utilizing a generalized efficient layer aggregation network and attention mechanism,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-26T20:33:30.187856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44cc227a-f58a-4803-9dfd-7cb84b880c88 · outbound

This paper cites Lightweight deep learning for real-time road distress detection on mobile devices,.

A Digital Twin Framework for Traffic-Aware UAV Pavement Monitoring without Lane Closure Lightweight deep learning for real-time road distress detection on mobile devices,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-26T20:33:30.187856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e3e4a53-384b-4673-b193-36c7663b5a9e · outbound

This paper cites HighRPD: High-resolution road pavement distress dataset,.

A Digital Twin Framework for Traffic-Aware UAV Pavement Monitoring without Lane Closure HighRPD: High-resolution road pavement distress dataset,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-26T20:33:30.187856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5681489a-21f8-41ec-b793-04899f4bb49c · outbound

This paper cites An Enhanced YOLOv8 Model for Real-Time and Accurate Pothole Detection and Measurement.

A Digital Twin Framework for Traffic-Aware UAV Pavement Monitoring without Lane Closure An Enhanced YOLOv8 Model for Real-Time and Accurate Pothole Detection and Measurement

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-04T01:09:19.837864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fe547cd1-7f1b-40d7-a9de-2ee6e354352c · outbound

This paper cites Pavement distress detection using convolutional neural networks with images captured via uav,.

A Digital Twin Framework for Traffic-Aware UAV Pavement Monitoring without Lane Closure Pavement distress detection using convolutional neural networks with images captured via uav,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-26T20:33:30.187856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c92c0e9-9a14-4b78-a524-1e38da0ff1d2 · outbound

This paper cites UA V-PDD2023: A benchmark dataset for pave- ment distress detection based on UA V images,.

A Digital Twin Framework for Traffic-Aware UAV Pavement Monitoring without Lane Closure UA V-PDD2023: A benchmark dataset for pave- ment distress detection based on UA V images,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-26T20:33:30.187856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24614f64-6a2d-43bc-a48c-a525377f5f10 · outbound

This paper cites Albumentations: Fast and flexible image augmen- tations,.

A Digital Twin Framework for Traffic-Aware UAV Pavement Monitoring without Lane Closure Albumentations: Fast and flexible image augmen- tations,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-26T20:33:30.187856Z

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Unavailable: canonical work link unavailable.

Observation e5ed1afb-3cd4-4c25-88cf-8857a295c256 · outbound

This paper cites an unresolved cited work.

A Digital Twin Framework for Traffic-Aware UAV Pavement Monitoring without Lane Closure Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-26T20:33:30.187856Z

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Unavailable: canonical work link unavailable.

Observation 09dbbc2f-744f-47ee-901b-44b9a2272c5e · outbound

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

A Digital Twin Framework for Traffic-Aware UAV Pavement Monitoring without Lane Closure YOLOv12: Attention-Centric Real-Time Object Detectors

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-07-04T01:09:19.840939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.