Paper Citation Record · LEDGER

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2312.04484.

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

pith.paper-citation-record.v1
2312.04484 v3

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 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:04:18.508547Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T10:05:41.543527Z

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 a393bcb3-15e2-4e54-b7a7-bea7c72face1 · inbound

Real Time Semantic Segmentation of High Resolution Automotive LiDAR Scans cites this paper.

Real Time Semantic Segmentation of High Resolution Automotive LiDAR Scans FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T05:04:18.508547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1204b442-bed2-4898-8507-c80d5ebf42fd · inbound

LiDAR Based Semantic Perception for Forklifts in Outdoor Environments cites this paper.

LiDAR Based Semantic Perception for Forklifts in Outdoor Environments FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:40.682365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02a4db32-b6ae-430e-965a-69e19d46d0e9 · inbound

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation cites this paper.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:31:27.052264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1428cd2d-accf-48e8-9e8e-7cc691531413 · inbound

Semantic Occupancy Prediction with Dual Range-Voxel Representation cites this paper.

Semantic Occupancy Prediction with Dual Range-Voxel Representation FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-07-01T10:05:41.545172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.