Paper Citation Record · LEDGER

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision

As of 17 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2505.13905.

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

pith.paper-citation-record.v1
2505.13905 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:12:50.941727Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

34 of 34 outbound references displayed

verified exact2
verified fuzzy16
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 00aa9e18-eaa9-4255-9b0b-c4b1c5e2f968 · outbound

This paper cites Colmap: A memory-efficient occupancy grid mapping frame- work,.

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision Colmap: A memory-efficient occupancy grid mapping frame- work,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:50.777091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89a8ef3c-3a4a-464e-aea3-c10771459d75 · outbound

This paper cites Tri-perspective view for vision-based 3d semantic occupancy prediction,.

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision Tri-perspective view for vision-based 3d semantic occupancy prediction,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:50.783379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3761319-1bd6-41f1-b89a-bf811e42e26c · outbound

This paper cites MetaOcc: Spatio-Temporal Fusion of Surround-View 4D Radar and Camera for 3D Occupancy Prediction with Dual Training Strategies.

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision MetaOcc: Spatio-Temporal Fusion of Surround-View 4D Radar and Camera for 3D Occupancy Prediction with Dual Training Strategies

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:12:51.050120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b356ccdc-8b4d-428b-ae18-770d41c4c427 · outbound

This paper cites Efear-4d: Ego-velocity filtering for efficient and accurate 4d radar odometry,.

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision Efear-4d: Ego-velocity filtering for efficient and accurate 4d radar odometry,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:51.436150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 140cc161-0ba1-4bad-9f30-1438aa287435 · outbound

This paper cites Get it for free: Radar segmentation without expert labels and its application in odometry and localization,.

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision Get it for free: Radar segmentation without expert labels and its application in odometry and localization,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:51.422007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 06ad61b4-0a96-4261-8237-0538572ed217 · outbound

This paper cites 4DRVO-Net: Deep 4D radar–visual odometry using multi-modal and multi-scale adaptive fusion,.

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision 4DRVO-Net: Deep 4D radar–visual odometry using multi-modal and multi-scale adaptive fusion,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:51.407583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ac6e2fb1-7274-40a4-a140-2aeaa2158af4 · outbound

This paper cites Gaussian radar transformer for semantic segmentation in noisy radar data,.

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision Gaussian radar transformer for semantic segmentation in noisy radar data,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:50.808839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6186729-5d2b-4dd0-9688-be574cdb8702 · outbound

This paper cites Point cloud forecasting as a proxy for 4d occupancy forecasting,.

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision Point cloud forecasting as a proxy for 4d occupancy forecasting,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:51.382607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f47e8baa-3f1e-4728-940e-f776e556beb6 · outbound

This paper cites Also: Automotive lidar self-supervision by occupancy estimation,.

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision Also: Automotive lidar self-supervision by occupancy estimation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:51.367560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b5b56844-6872-4afe-a853-095cdce6efed · outbound

This paper cites Multi- class road user detection with 3+ 1d radar in the view-of-delft dataset,.

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision Multi- class road user detection with 3+ 1d radar in the view-of-delft dataset,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:51.349432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 757329bb-9b84-4ca9-8530-bf6dc2a50d90 · outbound

This paper cites Interfusion: Interaction-based 4d radar and lidar fusion for 3d object detection,.

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision Interfusion: Interaction-based 4d radar and lidar fusion for 3d object detection,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:51.330259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c73f1b39-0793-4b6e-aca1-95b0938cba6d · outbound

This paper cites Dart: Implicit doppler tomography for radar novel view synthesis,.

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision Dart: Implicit doppler tomography for radar novel view synthesis,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:50.831119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78080f8d-ffe7-41bd-905a-c784566b9259 · outbound

This paper cites 4d iRIOM: 4D imaging radar inertial odometry and mapping,.

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision 4d iRIOM: 4D imaging radar inertial odometry and mapping,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:51.299750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2f57ff01-1a2f-476b-a29a-2821e9e0e296 · outbound

This paper cites RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar.

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:50.840034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04af7262-9259-43b9-900d-23f7464ac30d · outbound

This paper cites Dynamic Occupancy Grids for Object Detection: A Radar-Centric Approach.

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision Dynamic Occupancy Grids for Object Detection: A Radar-Centric Approach

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:12:51.013859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e092047c-41bb-4974-92b3-1e874eec64ca · outbound

This paper cites PointOcc: Cylindrical Tri-Perspective View for Point-based 3D Semantic Occupancy Prediction.

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision PointOcc: Cylindrical Tri-Perspective View for Point-based 3D Semantic Occupancy Prediction

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:50.849658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3773f511-0a07-4791-8122-fa833c61552b · outbound

This paper cites Surroundocc: Multi-camera 3d occupancy prediction for autonomous driving,.

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision Surroundocc: Multi-camera 3d occupancy prediction for autonomous driving,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:50.854685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 725e7027-ddf8-4096-99f8-b7df501dd822 · outbound

This paper cites GEOcc: Geometrically Enhanced 3D Occupancy Network with Implicit-Explicit Depth Fusion and Contextual Self-Supervision.

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision GEOcc: Geometrically Enhanced 3D Occupancy Network with Implicit-Explicit Depth Fusion and Contextual Self-Supervision

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:50.859298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8eeba43b-ab02-4155-9838-619f34ad6ef4 · outbound

This paper cites Occfusion: Multi- sensor fusion framework for 3d semantic occupancy prediction,.

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision Occfusion: Multi- sensor fusion framework for 3d semantic occupancy prediction,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:50.863683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1593a571-6f89-4880-ba30-6a166a4f721c · outbound

This paper cites Licrocc: Teach radar for accurate semantic occupancy prediction using lidar and camera,.

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision Licrocc: Teach radar for accurate semantic occupancy prediction using lidar and camera,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:51.258586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 52666d33-5b94-47d1-a459-a50b87b37e0a · outbound

This paper cites Multi-class road user detection with 3+1d radar in the view-of-delft dataset,.

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision Multi-class road user detection with 3+1d radar in the view-of-delft dataset,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:51.241528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f452aa7a-cc90-4c4c-9636-e8126e2a8d1a · outbound

This paper cites Ntu4dradlm: 4d radar-centric multi-modal dataset for localization and mapping,.

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision Ntu4dradlm: 4d radar-centric multi-modal dataset for localization and mapping,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:51.224981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 535c68a5-3b8f-4466-9047-f5c3d670241e · outbound

This paper cites Msc-rad4r: Ros-based automotive dataset with 4d radar,.

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision Msc-rad4r: Ros-based automotive dataset with 4d radar,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:51.207386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4cadf01a-7ca6-43ac-9c4e-796b77160d3f · outbound

This paper cites Up-to-down network: Fusing multi-scale context for 3d semantic scene completion,.

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision Up-to-down network: Fusing multi-scale context for 3d semantic scene completion,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:50.889031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9a1fa18-f511-4149-92d6-1f2b38691d17 · outbound

This paper cites Openoccupancy: A large scale benchmark for surrounding semantic occupancy perception,.

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision Openoccupancy: A large scale benchmark for surrounding semantic occupancy perception,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:50.893299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fe80b23-e16e-4013-9246-1d295d78c5b7 · outbound

This paper cites Uno: Unsupervised occupancy fields for perception and forecasting,.

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision Uno: Unsupervised occupancy fields for perception and forecasting,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:51.167872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fe0c165f-cdfb-4afb-a6fa-f5c3302c3ccd · outbound

This paper cites Scan context: Egocentric spatial descriptor for place recognition within 3d point cloud map,.

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision Scan context: Egocentric spatial descriptor for place recognition within 3d point cloud map,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:50.901898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5f713cb-d2c2-4efc-aa1a-d6f3df51764a · outbound

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

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision V oxelnet: End-to-end learning for point cloud based 3d object detection,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:50.906148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd6f4cfa-1ad4-45de-aa18-67dadce5bbce · outbound

This paper cites Bevformer: learning bird’s-eye-view representation from lidar- camera via spatiotemporal transformers,.

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision Bevformer: learning bird’s-eye-view representation from lidar- camera via spatiotemporal transformers,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:51.123284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5b56fb08-2d83-495a-9db9-776e65db0cc0 · outbound

This paper cites U-net: Convolutional net- works for biomedical image segmentation,.

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision U-net: Convolutional net- works for biomedical image segmentation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:51.109121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3ee99193-38c4-47e4-b028-78d96910807b · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite,.

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision Are we ready for autonomous driving? the kitti vision benchmark suite,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:50.928342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe76e685-dcf4-4e0f-9f57-7196ce274d6b · outbound

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

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision K-radar: 4d radar object detection for autonomous driving in various weather conditions,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:51.084729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e9a86d57-d565-485b-86d5-78a4549f2280 · outbound

This paper cites Deep high-resolution representation learning for human pose estimation,.

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision Deep high-resolution representation learning for human pose estimation,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:50.937548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 228bc2a0-9bc9-45f8-9a24-63be735d0aa0 · outbound

This paper cites Semantickitti: A dataset for semantic scene understanding of lidar sequences,.

4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision Semantickitti: A dataset for semantic scene understanding of lidar sequences,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:50.941727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.