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Paper Citation Record · LEDGER

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization

As of 9 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2607.04330.

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

pith.paper-citation-record.v1
2607.04330 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T20:01:29.857655Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

48 of 48 outbound references displayed

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  • verified fuzzy0
  • unresolved47
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3a1ac242-96b4-4cb8-8f77-7ef8881a1b24 · outbound

This paper cites ildm: An interoperable graph-based local dynamic map,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization ildm: An interoperable graph-based local dynamic map,

Reference 1

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Observation 0245f7ca-930b-44bc-8447-2fcb42316f8e · outbound

This paper cites Intelligent transport systems (its); vehicular communica- tions; basic set of applications; definitions,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Intelligent transport systems (its); vehicular communica- tions; basic set of applications; definitions,

Reference 2

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Observation 43b2f711-f081-45bc-b387-b2500ed3f7a9 · outbound

This paper cites Characterization, detection, and segmentation of work-zone scenes from naturalistic driving data,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Characterization, detection, and segmentation of work-zone scenes from naturalistic driving data,

Reference 3

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Observation 6806134a-c7f2-4434-b43c-dab4a80c336c · outbound

This paper cites Low-cost object detection models for traffic control devices through domain adaption of geographical regions,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Low-cost object detection models for traffic control devices through domain adaption of geographical regions,

Reference 4

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Observation 93bf9e73-d5b6-4a4a-b5a9-b768672eeafb · outbound

This paper cites Tracon: A novel dataset for real-time traffic cones detection using deep learning,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Tracon: A novel dataset for real-time traffic cones detection using deep learning,

Reference 5

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Observation 5c380f92-6f6c-44eb-9057-1bd4e447de06 · outbound

This paper cites Work zone detection for autonomous ve- hicles,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Work zone detection for autonomous ve- hicles,

Reference 6

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Observation c3c5a001-46f3-4c21-bf7b-a50ff20bd045 · outbound

This paper cites AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics

Reference 7

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Observation f63abec3-2f28-4e41-a890-9bfb6f3b70c9 · outbound

This paper cites Effects of highway work zone temporary countermeasures,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Effects of highway work zone temporary countermeasures,

Reference 8

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Observation d644c670-8515-4404-b530-9bf03bfa8f27 · outbound

This paper cites Encoder-decoder with atrous separable convolution for semantic image segmentation,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Encoder-decoder with atrous separable convolution for semantic image segmentation,

Reference 9

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Observation e401e9dc-a630-4b23-ae7c-f28bdebd00b9 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 10

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Observation 03ca580c-67cc-4ef4-a184-134a7e08fdbe · outbound

This paper cites Segformer: Simple and efficient design for semantic segmentation with transformers,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Segformer: Simple and efficient design for semantic segmentation with transformers,

Reference 11

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Observation 6bf5cc0c-b2ef-4657-8e3b-abfa356b966e · outbound

This paper cites Gs3d: An efficient 3d object detection framework for autonomous driving,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Gs3d: An efficient 3d object detection framework for autonomous driving,

Reference 12

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Observation 37dfc79c-f1c0-4885-b160-af379e4a9217 · outbound

This paper cites Monocular 3d object detection with decoupled structured polygon estimation and height-guided depth estimation,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Monocular 3d object detection with decoupled structured polygon estimation and height-guided depth estimation,

Reference 13

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Observation e42e576b-7504-43c1-bb17-2f51fcbba93d · outbound

This paper cites Monocular 3d object detection for autonomous driving,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Monocular 3d object detection for autonomous driving,

Reference 14

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Observation 3acb4e11-d31a-474d-bd8b-34f6b30f2025 · outbound

This paper cites Ground-aware monocular 3d object detection for autonomous driving,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Ground-aware monocular 3d object detection for autonomous driving,

Reference 15

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Observation ec1ce052-d5f9-4e09-bccb-28624d9d3bb5 · outbound

This paper cites Smoke: Single-stage monocular 3d object detection via keypoint estimation,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Smoke: Single-stage monocular 3d object detection via keypoint estimation,

Reference 16

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Observation a72744c5-a04d-474f-8af1-6d4f0ebe22d2 · outbound

This paper cites Objects are different: Flexible monocu- lar 3d object detection,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Objects are different: Flexible monocu- lar 3d object detection,

Reference 17

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Observation 2e2cc454-d514-4dcb-9491-64fe73b91369 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 18

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Observation 60e31c0b-90c0-4caa-934d-d2136686be81 · outbound

This paper cites Dynamic graph cnn for learning on point clouds,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Dynamic graph cnn for learning on point clouds,

Reference 19

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Observation 4d0ccf70-7423-4573-a859-3a8647dd1403 · outbound

This paper cites Kpconv: Flexible and deformable convolution for point clouds,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Kpconv: Flexible and deformable convolution for point clouds,

Reference 20

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Observation 35ffe7ae-686e-4d5b-88b0-3e00be81e58d · outbound

This paper cites V oxelnet: End-to-end learning for point cloud based 3d object detection,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization V oxelnet: End-to-end learning for point cloud based 3d object detection,

Reference 21

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Observation c8cf7929-78be-4488-99da-12f4939d4b65 · outbound

This paper cites Transformer-based global pointpillars 3d object detection method,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Transformer-based global pointpillars 3d object detection method,

Reference 22

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Observation 3e1c7bfc-ac04-40fe-8fef-560113dd1dd5 · outbound

This paper cites Pv- rcnn: Point-voxel feature set abstraction for 3d object detection,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Pv- rcnn: Point-voxel feature set abstraction for 3d object detection,

Reference 23

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Observation a8ad5a02-42bf-4674-aefc-02843d07eaa9 · outbound

This paper cites Pointpillars: Fast encoders for object detection from point clouds,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Pointpillars: Fast encoders for object detection from point clouds,

Reference 24

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Observation 4e716b67-2678-46e8-8657-c523f71b2360 · outbound

This paper cites Fusion of 3d lidar and camera data for object detection in autonomous vehicle applications,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Fusion of 3d lidar and camera data for object detection in autonomous vehicle applications,

Reference 25

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Observation ae624a2d-0298-41ad-8a7a-ce0cd50e6c6f · outbound

This paper cites Mvx-net: Multimodal voxelnet for 3d object detection,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Mvx-net: Multimodal voxelnet for 3d object detection,

Reference 26

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Observation e6d3382e-87cd-4120-b97b-121196b3db09 · outbound

This paper cites 3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object Detection.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization 3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object Detection

Reference 27

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Observation 792c9a26-7550-4079-903b-5ac140bf7d3a · outbound

This paper cites Image and object geo-localization,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Image and object geo-localization,

Reference 28

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Observation 7d45581b-b462-4162-9194-7c868aa214a2 · outbound

This paper cites Road deformation detection,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Road deformation detection,

Reference 29

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Observation d82340dd-69d1-4c04-9842-cc60413a1559 · outbound

This paper cites Object tracking and geo-localization from street images,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Object tracking and geo-localization from street images,

Reference 30

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Observation 6b17fbf2-e717-4063-afe0-13800d9a0a2d · outbound

This paper cites End-to-end learning improves static object geo-localization from video,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization End-to-end learning improves static object geo-localization from video,

Reference 31

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Observation c9c11b30-4701-45c3-a82e-2f0a476ec5f3 · outbound

This paper cites Automatic discovery and geotagging of objects from street view imagery,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Automatic discovery and geotagging of objects from street view imagery,

Reference 32

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Observation 6e852644-0435-45de-8e11-0d420a08bfc8 · outbound

This paper cites Geolocation estimation of target vehicles using image processing and geometric computation,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Geolocation estimation of target vehicles using image processing and geometric computation,

Reference 33

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Observation 7235effe-e66d-48d5-8a9b-aa120576588b · outbound

This paper cites Vision meets robotics: The kitti dataset,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Vision meets robotics: The kitti dataset,

Reference 34

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Observation 95389f01-7c34-4f78-bdf7-9482763173c7 · outbound

This paper cites Robot operating system 2: Design, architecture, and uses in the wild,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Robot operating system 2: Design, architecture, and uses in the wild,

Reference 35

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Observation eef7d092-6689-47fd-89c3-4ec6efc8ee44 · outbound

This paper cites Audi a6 avant.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Audi a6 avant

Reference 36

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Observation 5448873a-7d05-4bf9-b8a5-17c87ac3f3bd · outbound

This paper cites Planet dump retrieved from https://planet.osm.org ,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Planet dump retrieved from https://planet.osm.org ,

Reference 37

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Observation 99edc352-5d25-4caa-bb2b-a95276a971bd · outbound

This paper cites A flexible new technique for camera calibration,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization A flexible new technique for camera calibration,

Reference 38

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source=pdf_text observed=2026-07-11T20:01:29.857655Z digest=sha256:2d8c5dacaaba8b1f6be441dfb5ec6ca6b0841e597a72e4e1ff5ab974c01c3966

Observation d638e387-a5ef-4d92-8ec9-e9448d8e4163 · outbound

This paper cites Calib-Anything: Zero-training LiDAR-Camera Extrinsic Calibration Method Using Segment Anything.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Calib-Anything: Zero-training LiDAR-Camera Extrinsic Calibration Method Using Segment Anything

Reference 39

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source=pdf_text observed=2026-07-11T20:01:29.857655Z digest=sha256:d8648d941d6c50a6ae1f5a5127a3a3118b6c473a5bc63458bd86b9ada04e250d

Observation e93b7336-2d70-444e-9f17-20b7dd3792d5 · outbound

This paper cites Yolov8: A novel object detection algorithm with enhanced performance and robustness,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Yolov8: A novel object detection algorithm with enhanced performance and robustness,

Reference 40

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source=pdf_text observed=2026-07-11T20:01:29.857655Z digest=sha256:1e611bc91dc80133082db5eeda31e0b136fe5baaa8964fbd7af59cb0fd17f4c8

Observation 7f26923d-bce0-43d2-92ad-5eb55d941eb5 · outbound

This paper cites Sustech points: A portable 3d point cloud interactive annotation platform system,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Sustech points: A portable 3d point cloud interactive annotation platform system,

Reference 41

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source=pdf_text observed=2026-07-11T20:01:29.857655Z digest=sha256:f9b48e99139fd6750105a72121d9afa8a05520241e8a14c7f341b58ad83f902e

Observation f9013130-0085-44e0-b98e-f6f956fee371 · outbound

This paper cites Labelme: Online image annotation and applications,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Labelme: Online image annotation and applications,

Reference 42

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:01:29.857655Z digest=sha256:f3dd5fd9c9cdbabbc4de4c12d22ee6a9b95a5985671299d12d25e68b46521d02

Observation 52568579-e6d6-4940-9ae5-b7c3e2e12e1c · outbound

This paper cites Carla: An open urban driving simulator,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Carla: An open urban driving simulator,

Reference 43

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:01:29.857655Z digest=sha256:0424b16b9cb1bdb0d926aaf624bccab9aedd399dcc86614430213fc7795fbda6

Observation 5527db71-cd8b-4f0a-bfa3-26ae4d9b23ec · outbound

This paper cites an unresolved cited work.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Unresolved cited work

Reference 44

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no resolver link, observed 2026-07-11T20:01:29.857655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:01:29.857655Z digest=sha256:b4c76ecac10c3f47de261363dc26a454471b5f7a6b17dabde14d96970ca9a4f8

Observation 175c232b-7a38-457f-9c3c-85086ecf4abe · outbound

This paper cites Distance, latitude, longitude, and navigation,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Distance, latitude, longitude, and navigation,

Reference 45

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:01:29.857655Z digest=sha256:612590b1f2a4ede743d16bebf39f5315d89f764638fa7265d4b88114abd8a77e

Observation 6574eefe-1281-4d6f-8543-8748bc55da21 · outbound

This paper cites MMDetection3D: OpenMMLab next-generation platform for general 3D object detection,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization MMDetection3D: OpenMMLab next-generation platform for general 3D object detection,

Reference 46

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:01:29.857655Z digest=sha256:ef7cd22b1b01ea50233f78a76720fdc47d319386cb4ba7f0f1a453b76b071be5

Observation db1c3345-81f8-4241-a93a-983ed91d366f · outbound

This paper cites Simultaneous multi- view instance detection with learned geometric soft-constraints,.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Simultaneous multi- view instance detection with learned geometric soft-constraints,

Reference 47

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:01:29.857655Z digest=sha256:601f336a9f641e52a56a2d050e6ef136694dcbc0e430ba58521dba4e9539dbdb

Observation 5b06155f-9b7e-49f1-af7c-c8e6d2a7d43d · outbound

This paper cites MMDetection: Open MMLab Detection Toolbox and Benchmark.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization MMDetection: Open MMLab Detection Toolbox and Benchmark

Reference 48

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:01:29.857655Z digest=sha256:1cb85c08643d7576867ca1305b3c40abb2f89558d869993b78a702e51e5c5394

Pith citing papers

No inbound Pith citation observations are available.