Paper Citation Record · LEDGER

Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection

As of 21 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:1908.09492.

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

pith.paper-citation-record.v1
1908.09492 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-02T14:29:03.775107Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T13:48:21.376823Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d058c3bb-5bbf-479c-9c8c-3ece2b769d61 · inbound

nuScenes: A multimodal dataset for autonomous driving cites this paper.

nuScenes: A multimodal dataset for autonomous driving Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection

Reference 90

Resolution: verified exact; arxiv_id, observed 2026-05-17T13:10:47.769223Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

Observation 97ba75d9-faff-4240-9943-43a2a6f8f736 · inbound

BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View cites this paper.

BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection

Reference 62

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T14:35:28.685106Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

Observation eae71225-ec09-4d23-8a23-fab8bc3f9040 · inbound

RQR3D: Reparametrizing the regression targets for BEV-based 3D object detection cites this paper.

RQR3D: Reparametrizing the regression targets for BEV-based 3D object detection Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-19T13:42:19.199353Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

Observation c681d55c-ed14-47c8-8868-3edb1f582910 · inbound

All You Need for Object Detection: From Pixels, Points, and Prompts to Next-Gen Fusion and Multimodal LLMs/VLMs in Autonomous Vehicles cites this paper.

All You Need for Object Detection: From Pixels, Points, and Prompts to Next-Gen Fusion and Multimodal LLMs/VLMs in Autonomous Vehicles Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection

Reference 254

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:00:48.184560Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

Observation 86cfdf28-bc88-476f-9a8c-645569cac871 · inbound

Class-Adaptive Cooperative Perception for Multi-Class LiDAR-based 3D Object Detection in V2X Systems cites this paper.

Class-Adaptive Cooperative Perception for Multi-Class LiDAR-based 3D Object Detection in V2X Systems Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:56:03.837524Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

Observation ab79fe16-4f51-4518-a520-1e4ca66b79a9 · inbound

Radar-Camera BEV Multi-Task Learning with Cross-Task Attention Bridge for Joint 3D Detection and Segmentation cites this paper.

Radar-Camera BEV Multi-Task Learning with Cross-Task Attention Bridge for Joint 3D Detection and Segmentation Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:01:03.910271Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

Observation 4d545d5a-fc9f-40a6-9b7e-79f4b75cd48c · inbound

CAM3DNet: Comprehensively mining the multi-scale features for 3D Object Detection with Multi-View Cameras cites this paper.

CAM3DNet: Comprehensively mining the multi-scale features for 3D Object Detection with Multi-View Cameras Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:16:54.776247Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

Observation 36c4dcb8-bcdb-4556-969d-fbb1d056682a · inbound

SemLT3D: Semantic-Guided Expert Distillation for Camera-only Long-Tailed 3D Object Detection cites this paper.

SemLT3D: Semantic-Guided Expert Distillation for Camera-only Long-Tailed 3D Object Detection Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:56:11.174134Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

Observation 03cfc67e-3033-4a12-a8a5-0bee91e38667 · inbound

SimPB++: Simultaneously Detecting 2D and 3D Objects from Multiple Cameras cites this paper.

SimPB++: Simultaneously Detecting 2D and 3D Objects from Multiple Cameras Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:21:07.737354Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

Observation fe8ca879-28f6-4d8b-9328-819e1ae70e1b · inbound

Can BEV Perception Gracefully Degrade under Sensor Failures? cites this paper.

Can BEV Perception Gracefully Degrade under Sensor Failures? Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:02:46.949590Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

Observation d7f57f18-f6ed-42da-ab4d-ac9ce2488339 · inbound

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception cites this paper.

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-01T23:06:19.526054Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

Observation 8e139a36-2c09-45a6-8e3f-6d6ceb03a963 · inbound

Camera and LiDAR BEV Fusion for Cooperative 3D Object Detection on TUMTraf V2X cites this paper.

Camera and LiDAR BEV Fusion for Cooperative 3D Object Detection on TUMTraf V2X Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-03T13:48:21.378237Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

Observation 2ad48977-e138-41ed-9747-f9b37a23fbd5 · inbound

GaussianFusion: Unified 3D Gaussian Representation for Multi-Modal Fusion Perception cites this paper.

GaussianFusion: Unified 3D Gaussian Representation for Multi-Modal Fusion Perception Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-02T14:37:03.169278Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.