Paper Citation Record · LEDGER

PointCloud Saliency Maps

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1812.01687.

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

pith.paper-citation-record.v1
1812.01687 v6

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 2026-08-14T13:01:55.864907Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

7
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a43bb725-8921-4418-92d7-f1936cc7710b · inbound

Adversarial shape perturbations on 3D point clouds cites this paper.

Adversarial shape perturbations on 3D point clouds PointCloud Saliency Maps

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-14T13:01:55.864907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e624b571-7ca5-4528-9b66-fbe5ae5feb4d · inbound

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles cites this paper.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles PointCloud Saliency Maps

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.193982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 346ff47a-bbd5-4560-9b13-2f5183bdea43 · inbound

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation cites this paper.

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation PointCloud Saliency Maps

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-06T12:10:33.062154Z

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.

Observation c2dee2bc-f6d6-4fd3-b67a-a5c5c917c79e · inbound

Synthetic LiDAR Data Generation and Deterministic Downsampling for Point Cloud Classification on the Edge cites this paper.

Synthetic LiDAR Data Generation and Deterministic Downsampling for Point Cloud Classification on the Edge PointCloud Saliency Maps

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T14:52:30.470527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.