Paper Citation Record · LEDGER

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1912.13192.

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

pith.paper-citation-record.v1
1912.13192 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:24:42.720212Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T23:26:22.133880Z

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 02c4274d-7d2e-4d80-ae91-1753840952f1 · inbound

LiDAR-Guided Monocular 3D Object Detection for Long-Range Railway Monitoring cites this paper.

LiDAR-Guided Monocular 3D Object Detection for Long-Range Railway Monitoring PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-16T10:24:42.720212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1f99ef2-0327-4f81-90b0-2b656511b9e5 · inbound

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation cites this paper.

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T00:53:52.668551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 734b4920-cf9e-4cc0-acb1-4c0eccdccdfb · inbound

A Simulation Platform for Flapping-Wing Vehicles cites this paper.

A Simulation Platform for Flapping-Wing Vehicles PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-01T23:26:22.135854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fbac1769-7fc3-4ff4-92a9-46aa52b10ed6 · inbound

Sarus: Privacy-Preserving Multi-Vendor Perception Fusion via Homomorphic Encryption cites this paper.

Sarus: Privacy-Preserving Multi-Vendor Perception Fusion via Homomorphic Encryption PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T13:23:24.752944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.