Paper Citation Record · LEDGER

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection

As of 22 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2507.08743.

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

pith.paper-citation-record.v1
2507.08743 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:15:08.169609Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

38 of 38 outbound references displayed

verified exact0
verified fuzzy36
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a37cba9c-bbae-4564-9c6f-1c406197abfd · outbound

This paper cites Digital twin: Generalization, characterization and implementation,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection Digital twin: Generalization, characterization and implementation,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:15.744906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation eeda84dc-f004-472f-b286-e448c00bead2 · outbound

This paper cites Digital twin in manufacturing: A categorical literature review and classification,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection Digital twin in manufacturing: A categorical literature review and classification,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:15.427206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ba3f044a-fb05-4da1-ab63-c867f7307254 · outbound

This paper cites Characterising the digital twin: A systematic literature review,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection Characterising the digital twin: A systematic literature review,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:15.290595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1b5244e2-41f9-4a64-a9b0-e1748ecbfb74 · outbound

This paper cites Digital twin: Enabling technologies, challenges and open research,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection Digital twin: Enabling technologies, challenges and open research,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:15.104524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 49a58a4c-d6f4-4299-9137-1778847d91b3 · outbound

This paper cites Digital twin- assisted cooperative driving at non-signalized intersec- tions,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection Digital twin- assisted cooperative driving at non-signalized intersec- tions,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:14.948290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 008ea090-60ce-4672-a15f-d403713b27e2 · outbound

This paper cites Collaboration as a service: Digital-twin- enabled collaborative and distributed autonomous driv- ing,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection Collaboration as a service: Digital-twin- enabled collaborative and distributed autonomous driv- ing,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:14.769854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 123d7e9c-0680-42f6-88c8-5bc8cb76960d · outbound

This paper cites Mixed cloud control testbed: Validating vehicle-road-cloud integration via mixed dig- ital twin,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection Mixed cloud control testbed: Validating vehicle-road-cloud integration via mixed dig- ital twin,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:14.641046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 661b6de6-adbe-4fee-bb4b-d0d878f202a8 · outbound

This paper cites Digital twin-based cloud-native vehicular net- works architecture for intelligent driving,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection Digital twin-based cloud-native vehicular net- works architecture for intelligent driving,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:14.486782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a138df0e-4456-4838-b770-a12f53db3e52 · outbound

This paper cites A digital twin-based traffic guidance scheme for autonomous driving,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection A digital twin-based traffic guidance scheme for autonomous driving,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:14.265310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9614e6ed-221f-48ff-9653-4e02da9ef6d2 · outbound

This paper cites Smart mobility digital twin based automated vehicle navigation system: A proof of concept,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection Smart mobility digital twin based automated vehicle navigation system: A proof of concept,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:14.064932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 11d35138-8ab5-4320-9838-9523e9d88973 · outbound

This paper cites Task-efficiency oriented v2x communications: Digital twin meets mobile edge computing,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection Task-efficiency oriented v2x communications: Digital twin meets mobile edge computing,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:13.953013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 27337ba9-0297-4446-83f6-aad9ab42e9ea · outbound

This paper cites Wireless digital twin for assessing the reliability of vehicular communication links,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection Wireless digital twin for assessing the reliability of vehicular communication links,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:13.812963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f69b318e-db2e-4f16-afca-5bf8b8c107a6 · outbound

This paper cites Application of lightweight digital twin system in intel- ligent transportation,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection Application of lightweight digital twin system in intel- ligent transportation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:13.609643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 79290c91-5cda-4b02-8cd3-e11994d1f5f4 · outbound

This paper cites A multi-modal simulation framework to enable digital twin-based v2x communications in dynamic environments,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection A multi-modal simulation framework to enable digital twin-based v2x communications in dynamic environments,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:13.421295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2bf43fcc-4389-4a01-a1af-356a786c7317 · outbound

This paper cites Spat/map v2x communication between traffic light and vehicles and a realization with digital twin,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection Spat/map v2x communication between traffic light and vehicles and a realization with digital twin,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:13.227427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 98c7c286-8c60-49e7-bfaf-401090609186 · outbound

This paper cites A Transportation Digital-Twin Approach for Adaptive Traffic Control Systems.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection A Transportation Digital-Twin Approach for Adaptive Traffic Control Systems

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T18:15:04.428448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b65c4715-a475-4fb4-ab06-13be7efe6d01 · outbound

This paper cites Digital twin for pedestrian safety warning at a single urban traffic intersection,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection Digital twin for pedestrian safety warning at a single urban traffic intersection,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:13.041345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 40ccc83c-8791-4fcd-a2b4-c628ad8644eb · outbound

This paper cites Scan-to-graph: automatic generation and representation of highway geometric digital twins from point cloud data,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection Scan-to-graph: automatic generation and representation of highway geometric digital twins from point cloud data,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:12.900034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5edfb757-0aa0-43b9-99e2-8508918fe3b1 · outbound

This paper cites Building digital twins of existing highways using map data based on engineering expertise,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection Building digital twins of existing highways using map data based on engineering expertise,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:12.725029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0463fbda-e253-409c-876f-f057daddd916 · outbound

This paper cites 3d highway curve reconstruction from mobile laser scanning point clouds,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection 3d highway curve reconstruction from mobile laser scanning point clouds,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:12.608597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 40a56e90-dcca-4043-bd1b-7e9fdd7460d6 · outbound

This paper cites Automating construction of road digital twin geometry using context and location aware segmentation,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection Automating construction of road digital twin geometry using context and location aware segmentation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:12.489506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0b666e32-0071-4e5f-b0a1-548c0efb24a4 · outbound

This paper cites 6-layer model for a struc- tured description and categorization of urban traffic and environment,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection 6-layer model for a struc- tured description and categorization of urban traffic and environment,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:12.289039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cc7f6f7d-1a70-4bcb-aaa1-eba41adce0ca · outbound

This paper cites Advances and open problems in federated learning,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection Advances and open problems in federated learning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:12.140396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0c3f3eb8-d717-4789-b249-e0c9c3984c75 · outbound

This paper cites A survey on federated learning in intelligent transportation systems,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection A survey on federated learning in intelligent transportation systems,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:11.880088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1bbf0fef-aad0-4ca5-8229-ccc241877d00 · outbound

This paper cites A digital twin-based traffic light management system using BIRCH algorithm,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection A digital twin-based traffic light management system using BIRCH algorithm,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:11.685105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7bd34f50-19f6-4c3b-a27b-38bd1f091b1f · outbound

This paper cites A Digital Twin Environment for 5G Vehicle-to-Everything: Architecture and Open Issues,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection A Digital Twin Environment for 5G Vehicle-to-Everything: Architecture and Open Issues,

Reference 26

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T18:15:08.675258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 00ea7d4d-d38a-4968-96fe-196566c8b3b8 · outbound

This paper cites Towards next generation of pedestrian and connected vehicle in-the-loop research: A digital twin co- simulation framework,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection Towards next generation of pedestrian and connected vehicle in-the-loop research: A digital twin co- simulation framework,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:11.545092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0b649afd-771a-4610-b5d1-8f885a01a8af · outbound

This paper cites Intelligent highway adaptive lane learning system in multiple rois of surveillance camera video,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection Intelligent highway adaptive lane learning system in multiple rois of surveillance camera video,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:11.380159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 26ab24c7-2689-475b-9fa7-186ec7b26ee3 · outbound

This paper cites Lane detection in video-based intelligent transportation monitoring via fast extracting and clustering of vehicle motion trajectories,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection Lane detection in video-based intelligent transportation monitoring via fast extracting and clustering of vehicle motion trajectories,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:11.123844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a4ac8efe-63ad-41b8-9955-e9fee0536f93 · outbound

This paper cites A review of ap- plications in federated learning,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection A review of ap- plications in federated learning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:10.884228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e3a6f667-2f54-4b99-bd33-5d14d94bb2d2 · outbound

This paper cites Adaptive federated learning and digital twin for industrial internet of things,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection Adaptive federated learning and digital twin for industrial internet of things,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:10.655088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation febe9c67-e3f6-4da9-8b41-9b2b6d35571a · outbound

This paper cites Digital twins-enabled federated learning in mo- bile networks: From the perspective of communication- assisted sensing,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection Digital twins-enabled federated learning in mo- bile networks: From the perspective of communication- assisted sensing,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:10.409794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 411876b6-d497-4462-a111-9bd2054140aa · outbound

This paper cites Digital twin-enabled efficient federated learning for col- lision warning in intelligent driving,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection Digital twin-enabled efficient federated learning for col- lision warning in intelligent driving,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:10.214384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3a198f5a-fda4-420e-aaf9-bd2a03be4020 · outbound

This paper cites Federated learning for digital twin-based vehicular networks: Architecture and chal- lenges,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection Federated learning for digital twin-based vehicular networks: Architecture and chal- lenges,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:09.973209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5e6e09ef-9fa7-4228-84ce-c7d1f10ea495 · outbound

This paper cites Learning to learn from apis: Black-box data-free meta-learning,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection Learning to learn from apis: Black-box data-free meta-learning,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:09.581634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9cd52b38-7ee5-4303-9c96-b368b43cb6b3 · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection Model-agnostic meta-learning for fast adaptation of deep networks,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:09.278381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e0bc6cbd-b35f-4790-a956-e12a969b4c2e · outbound

This paper cites Ultralytics YOLO,.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection Ultralytics YOLO,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:08.996078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8c745f26-9441-4fba-9d74-d7147117b9f5 · outbound

This paper cites Available: https://www.sciencedirect.

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection Available: https://www.sciencedirect

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:15:15.560477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.