Paper Citation Record · LEDGER

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection

As of 22 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2507.04587.

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

pith.paper-citation-record.v1
2507.04587 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:48:16.790800Z

measured 41 of 41 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

41 of 41 outbound references displayed

verified exact1
verified fuzzy30
unresolved9
parse uncertain1
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a201d4db-43de-49af-beb4-921b312120ae · outbound

This paper cites End-to- end object detection with transformers.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection End-to- end object detection with transformers

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T19:48:16.664958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee04647a-d1a2-4720-b41a-df093dd5a261 · outbound

This paper cites Futr3d: A unified sensor fusion framework for 3d detection.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Futr3d: A unified sensor fusion framework for 3d detection

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:17.219310Z

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 e2ef37e5-99bb-449c-85d8-dba52d6cae56 · outbound

This paper cites V oxel r-cnn: Towards high performance voxel-based 3d object detection.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection V oxel r-cnn: Towards high performance voxel-based 3d object detection

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:17.209431Z

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 946aa553-e54f-4fdf-b6d8-0a782fb01fb9 · outbound

This paper cites DPFT: Dual Perspective Fusion Transformer for Camera-Radar-based Object Detection.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection DPFT: Dual Perspective Fusion Transformer for Camera-Radar-based Object Detection

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:48:16.855579Z

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 4825665c-0b38-494e-af6c-e77b15ce5fa2 · outbound

This paper cites Simple-bev: What really mat- ters for multi-sensor bev perception? In 2023 IEEE Inter- national Conference on Robotics and Automation (ICRA) , pages 2759–2765.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Simple-bev: What really mat- ters for multi-sensor bev perception? In 2023 IEEE Inter- national Conference on Robotics and Automation (ICRA) , pages 2759–2765

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:17.199484Z

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 105f7e52-0bd3-4b76-b2f9-72933b950c12 · outbound

This paper cites Deep residual learning for image recognition.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Deep residual learning for image recognition

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:17.188841Z

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 c7659e21-7b6b-4765-9225-d2c23792d224 · outbound

This paper cites Point density-aware voxels for lidar 3d object detection.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Point density-aware voxels for lidar 3d object detection

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:17.178363Z

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 41a33194-b072-4159-b784-c5d571ba3c86 · outbound

This paper cites Grif net: Gated region of interest fusion network for robust 3d object detection from radar point cloud and monocular im- age.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Grif net: Gated region of interest fusion network for robust 3d object detection from radar point cloud and monocular im- age

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:17.165648Z

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 d68aae06-bfbc-4c09-a35f-638bc3457dae · outbound

This paper cites Craft: Camera-radar 3d object detection with spatio-contextual fusion transformer.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Craft: Camera-radar 3d object detection with spatio-contextual fusion transformer

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:17.154771Z

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 d54a8f87-b293-4d7e-8d06-34be1fd98e2f · outbound

This paper cites Crn: Camera radar net for accurate, robust, efficient 3d perception.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Crn: Camera radar net for accurate, robust, efficient 3d perception

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:17.144881Z

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 10641fb8-0883-4418-ac1c-b163f51c2375 · outbound

This paper cites RTNH+: Enhanced 4D Radar Object Detection Network using Combined CFAR-based Two-level Preprocessing and Vertical Encoding.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection RTNH+: Enhanced 4D Radar Object Detection Network using Combined CFAR-based Two-level Preprocessing and Vertical Encoding

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T19:48:16.697398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d05498b-d820-410d-8e3c-4d2213c818aa · outbound

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

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Pointpillars: Fast encoders for object detection from point clouds

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T19:48:16.700939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 076386c7-b86f-4424-b079-daf4008adbcd · outbound

This paper cites Logonet: Towards accurate 3d object detection with local-to-global cross-modal fusion.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Logonet: Towards accurate 3d object detection with local-to-global cross-modal fusion

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:17.128372Z

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 8c66265a-ac10-4eac-8e66-9abc3cc65f77 · outbound

This paper cites Rcbevdet: Radar-camera fusion in bird’s eye view for 3d object detection.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Rcbevdet: Radar-camera fusion in bird’s eye view for 3d object detection

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:17.118833Z

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 d20b8637-3ae5-4485-adad-1947c87420a6 · outbound

This paper cites Smurf: Spatial multi- representation fusion for 3d object detection with 4d imaging radar.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Smurf: Spatial multi- representation fusion for 3d object detection with 4d imaging radar

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:17.109644Z

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 128b36f3-1e8b-48aa-a9bc-4684858e24b7 · outbound

This paper cites Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-modality Fusion.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-modality Fusion

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:17.098900Z

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 f1107a77-892b-42ed-b43d-595a6403ace6 · outbound

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

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Swin transformer: Hierarchical vision transformer using shifted windows

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:17.088483Z

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 56c4c2a8-1315-403d-81e8-c4ce6326bb88 · outbound

This paper cites Bevfusion: Multi- task multi-sensor fusion with unified bird’s-eye view repre- sentation.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Bevfusion: Multi- task multi-sensor fusion with unified bird’s-eye view repre- sentation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:17.077401Z

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 a72cdbd3-29d0-493d-b776-84b17cca3397 · outbound

This paper cites Centerfusion: Center-based radar and camera fusion for 3d object detection.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Centerfusion: Center-based radar and camera fusion for 3d object detection

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:17.067061Z

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 872b64ea-fcad-4806-8f08-f6317c5f51ae · outbound

This paper cites K-radar: 4d radar object detection for autonomous driving in various weather conditions.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection K-radar: 4d radar object detection for autonomous driving in various weather conditions

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:17.057367Z

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 9eaf04f1-e31b-4f6b-907a-b0503c7a523d · outbound

This paper cites Multi-class road user detection with 3+ 1d radar in the view-of-delft dataset.IEEE Robotics and Automation Letters, 7(2):4961–4968, 2022.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Multi-class road user detection with 3+ 1d radar in the view-of-delft dataset.IEEE Robotics and Automation Letters, 7(2):4961–4968, 2022

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:17.047632Z

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 8ee4db32-6682-493c-831c-d44a229d7163 · outbound

This paper cites Transcar: Transformer-based camera-and-radar fusion for 3d object detection.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Transcar: Transformer-based camera-and-radar fusion for 3d object detection

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:17.037617Z

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 55f77528-c26a-4cd3-8c0f-2d3640c78212 · outbound

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

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T19:48:16.733652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2f2e8ac-078e-4fe7-9e2e-446c4d1a6ef0 · outbound

This paper cites Categorical depth distribution network for monocular 3d object detection.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Categorical depth distribution network for monocular 3d object detection

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T19:48:16.736652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bd89051-f6cd-44e9-ae61-d1dc28d4706e · outbound

This paper cites Raw high-definition radar for multi-task learning.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Raw high-definition radar for multi-task learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T19:48:16.739986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2709579a-b656-4d5a-b6fd-d6d100651335 · outbound

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

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Pv-rcnn: Point- voxel feature set abstraction for 3d object detection

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:17.007817Z

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 ad0bc30e-cf33-49e0-96b2-9825a90e852a · outbound

This paper cites Smiformer: Learning spatial fea- ture representation for 3d object detection from 4d imaging radar via multi-view interactive transformers.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Smiformer: Learning spatial fea- ture representation for 3d object detection from 4d imaging radar via multi-view interactive transformers

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:16.997170Z

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 59dd1a9c-95bf-4fe2-afa4-708f9d064ac9 · outbound

This paper cites 3-d object detection for multiframe 4-d automotive millimeter-wave radar point cloud.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection 3-d object detection for multiframe 4-d automotive millimeter-wave radar point cloud

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:16.987274Z

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 d2754d60-50ea-407b-9bf7-0f9e81c8cbba · outbound

This paper cites Openpcdet: An open- source toolbox for 3d object detection from point clouds.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Openpcdet: An open- source toolbox for 3d object detection from point clouds

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T19:48:16.751957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f5f8915-2dec-4d6d-8a98-415834b8e1d0 · outbound

This paper cites Attention is all you need.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Attention is all you need

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T19:48:16.755312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb7bbbbd-4772-4a9e-b36b-75e03d42a56f · outbound

This paper cites Mvfusion: Multi-view 3d object detection with semantic-aligned radar and camera fusion.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Mvfusion: Multi-view 3d object detection with semantic-aligned radar and camera fusion

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:16.964255Z

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 07938d43-bfb3-4146-a065-e9979c12f1ef · outbound

This paper cites Lxl: Lidar excluded lean 3d object detection with 4d imaging radar and camera fusion.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Lxl: Lidar excluded lean 3d object detection with 4d imaging radar and camera fusion

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:16.953990Z

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 fbd931ff-800d-4b58-840e-3aad79dd2172 · outbound

This paper cites Rpfa-net: A 4d radar pillar feature attention network for 3d object detection.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Rpfa-net: A 4d radar pillar feature attention network for 3d object detection

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:16.943762Z

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 770a1ef9-8a8b-4f12-a5d0-ab57dd4c39f2 · outbound

This paper cites Mvfan: Multi-view feature as- sisted network for 4d radar object detection.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Mvfan: Multi-view feature as- sisted network for 4d radar object detection

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:16.932834Z

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 123d81e2-137e-4851-964d-55a4bc003c83 · outbound

This paper cites Second: Sparsely embed- ded convolutional detection.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Second: Sparsely embed- ded convolutional detection

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:16.912996Z

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 c780a1aa-9e4c-498d-99d7-cf908f0867c1 · outbound

This paper cites Exploring radar data representations in au- tonomous driving: A comprehensive review, 2024.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Exploring radar data representations in au- tonomous driving: A comprehensive review, 2024

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:16.902346Z

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 62092075-8490-4d55-bad0-1abde7c348f2 · outbound

This paper cites Tj4dradset: A 4d radar dataset for autonomous driving.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Tj4dradset: A 4d radar dataset for autonomous driving

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:16.889926Z

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 59a25893-df72-4989-8e5a-e7c0aaaf8f03 · outbound

This paper cites Rcfu- sion: Fusing 4d radar and camera with bird’s-eye view fea- tures for 3d object detection.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Rcfu- sion: Fusing 4d radar and camera with bird’s-eye view fea- tures for 3d object detection

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:16.878322Z

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 92606cd9-7a5c-4c78-9ddd-4c397c6386f5 · outbound

This paper cites Bridging the view disparity between radar and camera features for multi-modal fusion 3d object detection.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Bridging the view disparity between radar and camera features for multi-modal fusion 3d object detection

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:16.867037Z

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 0346c780-2ee0-4c17-9119-f4c8a7396373 · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T19:48:16.790800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bba77fe4-59fd-4471-a71a-dfdf8e21451a · outbound

This paper cites an unresolved cited work.

CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Unresolved cited work

Reference 511

Resolution: parse uncertain; raw_fallback, observed 2026-08-06T19:48:16.923018Z

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.