Paper Citation Record · LEDGER

CaR1: A Multi-Modal Baseline for BEV Vehicle Segmentation via Camera-Radar Fusion

As of 10 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2509.10139.

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

pith.paper-citation-record.v1
2509.10139 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:09:12.018776Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

22 of 22 outbound references displayed

verified exact0
verified fuzzy0
unresolved22
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ef1b097a-db99-4c95-a563-8ad9e5ef25d8 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

CaR1: A Multi-Modal Baseline for BEV Vehicle Segmentation via Camera-Radar Fusion nuscenes: A multimodal dataset for autonomous driving,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:10.351562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3b60c58-169e-4114-aa1f-2b882db0d234 · outbound

This paper cites Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d,.

CaR1: A Multi-Modal Baseline for BEV Vehicle Segmentation via Camera-Radar Fusion Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:10.389717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66a1b6b9-b1f3-4539-bcdd-8c38e42ab96c · outbound

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

CaR1: A Multi-Modal Baseline for BEV Vehicle Segmentation via Camera-Radar Fusion Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:10.467605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d61a2d6-8154-4750-b603-56d051d92c36 · outbound

This paper cites Bevdepth: Acquisition of reliable depth for multi-view 3d object detection,.

CaR1: A Multi-Modal Baseline for BEV Vehicle Segmentation via Camera-Radar Fusion Bevdepth: Acquisition of reliable depth for multi-view 3d object detection,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:10.563019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec3e634b-6910-439a-94a9-21e3da39519b · outbound

This paper cites Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers,.

CaR1: A Multi-Modal Baseline for BEV Vehicle Segmentation via Camera-Radar Fusion Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:10.628459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4454c7ba-062e-4ba9-9ebe-f999491bba33 · outbound

This paper cites Simple- bev: What really matters for multi-sensor bev perception?.

CaR1: A Multi-Modal Baseline for BEV Vehicle Segmentation via Camera-Radar Fusion Simple- bev: What really matters for multi-sensor bev perception?

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:10.718055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3bb6419-d8cb-4f57-8053-f03f7be8a3cc · outbound

This paper cites Bev-guided multi-modality fusion for driving perception,.

CaR1: A Multi-Modal Baseline for BEV Vehicle Segmentation via Camera-Radar Fusion Bev-guided multi-modality fusion for driving perception,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:10.784327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cecbd700-c55c-4d88-ba71-41998c8c1185 · outbound

This paper cites FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation.

CaR1: A Multi-Modal Baseline for BEV Vehicle Segmentation via Camera-Radar Fusion FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:10.839895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 447d2430-938e-41f5-ab66-4e3dc4eaed43 · outbound

This paper cites Bevnext: Reviving dense bev frameworks for 3d object detection,.

CaR1: A Multi-Modal Baseline for BEV Vehicle Segmentation via Camera-Radar Fusion Bevnext: Reviving dense bev frameworks for 3d object detection,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:10.917440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdfd907c-32ea-42ea-8126-0cc74f5b5725 · outbound

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

CaR1: A Multi-Modal Baseline for BEV Vehicle Segmentation via Camera-Radar Fusion Multi- class road user detection with 3+ 1d radar in the view-of-delft dataset,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:11.015769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed15bf60-c100-4e59-aa08-c413ceb187a8 · outbound

This paper cites MAN TruckScenes: A multimodal dataset for autonomous trucking in diverse conditions.

CaR1: A Multi-Modal Baseline for BEV Vehicle Segmentation via Camera-Radar Fusion MAN TruckScenes: A multimodal dataset for autonomous trucking in diverse conditions

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:11.107940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbb72d88-4de1-4356-b7b7-314413722a6b · outbound

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

CaR1: A Multi-Modal Baseline for BEV Vehicle Segmentation via Camera-Radar Fusion Pointpillars: Fast encoders for object detection from point clouds,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:11.198016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84ba3f81-fe69-41e5-9caf-73011daac428 · outbound

This paper cites RadarNeXt: Real-Time and Reliable 3D Object Detector Based On 4D mmWave Imaging Radar.

CaR1: A Multi-Modal Baseline for BEV Vehicle Segmentation via Camera-Radar Fusion RadarNeXt: Real-Time and Reliable 3D Object Detector Based On 4D mmWave Imaging Radar

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:11.295320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4a16572-3f9b-4c39-9891-550e212edf2a · outbound

This paper cites BEVCar: Camera-Radar Fusion for BEV Map and Object Segmentation.

CaR1: A Multi-Modal Baseline for BEV Vehicle Segmentation via Camera-Radar Fusion BEVCar: Camera-Radar Fusion for BEV Map and Object Segmentation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:11.373901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c7ceb7b-ff23-42c5-9e60-5852345cc3ff · outbound

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

CaR1: A Multi-Modal Baseline for BEV Vehicle Segmentation via Camera-Radar Fusion Crn: Camera radar net for accurate, robust, efficient 3d perception,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:11.467855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5de6e883-ea8c-421f-b981-dfc0e3551202 · outbound

This paper cites CRT-Fusion: Camera, Radar, Temporal Fusion Using Motion Information for 3D Object Detection.

CaR1: A Multi-Modal Baseline for BEV Vehicle Segmentation via Camera-Radar Fusion CRT-Fusion: Camera, Radar, Temporal Fusion Using Motion Information for 3D Object Detection

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:11.575351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d71721b-b0c2-4bd1-9270-929a2716e4e2 · outbound

This paper cites Efficientvit: Lightweight multi-scale attention for high-resolution dense prediction,.

CaR1: A Multi-Modal Baseline for BEV Vehicle Segmentation via Camera-Radar Fusion Efficientvit: Lightweight multi-scale attention for high-resolution dense prediction,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:11.636468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76a9de7a-470a-4089-8d2e-9ac38990a87a · outbound

This paper cites Feature pyramid networks for object detection,.

CaR1: A Multi-Modal Baseline for BEV Vehicle Segmentation via Camera-Radar Fusion Feature pyramid networks for object detection,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:11.700997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 609a7716-0a3b-4d5f-9a3a-8589ab150b54 · outbound

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

CaR1: A Multi-Modal Baseline for BEV Vehicle Segmentation via Camera-Radar Fusion Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:11.790856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c35f3a5d-dc99-4ca3-925d-7964404e277c · outbound

This paper cites Point transformer v3: Simpler faster stronger,.

CaR1: A Multi-Modal Baseline for BEV Vehicle Segmentation via Camera-Radar Fusion Point transformer v3: Simpler faster stronger,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:11.881209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eead210a-415c-49bb-99e0-9717ead63207 · outbound

This paper cites Attention U-Net: Learning Where to Look for the Pancreas.

CaR1: A Multi-Modal Baseline for BEV Vehicle Segmentation via Camera-Radar Fusion Attention U-Net: Learning Where to Look for the Pancreas

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:11.953934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6abc137d-cc4a-405c-8763-e2f38490e4cf · outbound

This paper cites Fiery: Future instance prediction in bird’s- eye view from surround monocular cameras,.

CaR1: A Multi-Modal Baseline for BEV Vehicle Segmentation via Camera-Radar Fusion Fiery: Future instance prediction in bird’s- eye view from surround monocular cameras,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:12.018776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.