Paper Citation Record · LEDGER

Adversarial Attack and Defense on Point Sets

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1902.10899.

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

pith.paper-citation-record.v1
1902.10899 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-08T04:23:30.131507Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T04:24:32.518107Z

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 f69414db-0067-4b45-9e89-6027ce1f2920 · inbound

Hard-Label Black-Box Attacks on 3D Point Clouds cites this paper.

Hard-Label Black-Box Attacks on 3D Point Clouds Adversarial Attack and Defense on Point Sets

Reference 100

Resolution: verified exact; arxiv_id, observed 2026-05-23T08:37:44.878661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 74e085eb-4d8f-4542-81e0-b1dc0c8bc0d2 · inbound

Beyond Defenses: Manifold-Aligned Regularization for Intrinsic 3D Point Cloud Robustness cites this paper.

Beyond Defenses: Manifold-Aligned Regularization for Intrinsic 3D Point Cloud Robustness Adversarial Attack and Defense on Point Sets

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:57.543572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 1d0ecf9d-afeb-45aa-b692-b126536f1b17 · inbound

Beyond Defenses: Manifold-Aligned Regularization for Intrinsic 3D Point Cloud Robustness cites this paper.

Beyond Defenses: Manifold-Aligned Regularization for Intrinsic 3D Point Cloud Robustness Adversarial Attack and Defense on Point Sets

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-25T06:35:24.849908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 4601af65-696a-4171-a859-f663cfde11b5 · inbound

Explainability-Aware Frustum Attack: Exposing Structural Vulnerabilities in LiDAR-Based 3D Object Detectors cites this paper.

Explainability-Aware Frustum Attack: Exposing Structural Vulnerabilities in LiDAR-Based 3D Object Detectors Adversarial Attack and Defense on Point Sets

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T08:24:27.040226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 3f9e2bec-3a61-4596-bc8e-8dff18c1216e · inbound

Explainability-Aware Frustum Attack: Exposing Structural Vulnerabilities in LiDAR-Based 3D Object Detectors cites this paper.

Explainability-Aware Frustum Attack: Exposing Structural Vulnerabilities in LiDAR-Based 3D Object Detectors Adversarial Attack and Defense on Point Sets

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T20:47:22.383150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b292a96f-6c97-4bed-94af-a84dffbc764a · inbound

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles cites this paper.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles Adversarial Attack and Defense on Point Sets

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-07-08T04:24:32.519899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.