Paper Citation Record · LEDGER

Adversarial Attack and Defense on Point Sets

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 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 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:12:37.888624Z

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 4134124e-193a-4fd1-89e3-9983a81d0d1c · inbound

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

Adversarial shape perturbations on 3D point clouds Adversarial Attack and Defense on Point Sets

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-14T13:01:55.858383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70e67ba0-ce35-4b24-bf84-1843e2ea9358 · 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 Adversarial Attack and Defense on Point Sets

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.198619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-20T06:33:59.587034+00:00.

Observation 19963c69-4038-4eeb-86f7-347839815bbf · inbound

Improving the Transferability of 3D Point Cloud Attack via Spectral-aware Admix and Optimization Designs cites this paper.

Improving the Transferability of 3D Point Cloud Attack via Spectral-aware Admix and Optimization Designs Adversarial Attack and Defense on Point Sets

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-11T14:00:01.739675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71e7a56d-d724-446c-943f-65cc7ac7d661 · inbound

Imperceptible Adversarial Attacks on Point Clouds Guided by Point-to-Surface Field cites this paper.

Imperceptible Adversarial Attacks on Point Clouds Guided by Point-to-Surface Field Adversarial Attack and Defense on Point Sets

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T01:03:44.113840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e2c257a-b895-4b29-a2a2-89141a347e7a · inbound

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search cites this paper.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search Adversarial Attack and Defense on Point Sets

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T05:50:44.808655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc4bf57f-5df4-46ff-8a93-b01f60ee66d9 · inbound

Cage-Based Deformation for Transferable and Undefendable Point Cloud Attack cites this paper.

Cage-Based Deformation for Transferable and Undefendable Point Cloud Attack Adversarial Attack and Defense on Point Sets

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T21:15:07.852315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24296886-3ebb-46fb-8ca4-ea0fd2648c68 · inbound

Robustifying 3D Perception via Least-Squares Graphs for Multi-Agent Object Tracking cites this paper.

Robustifying 3D Perception via Least-Squares Graphs for Multi-Agent Object Tracking Adversarial Attack and Defense on Point Sets

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T19:44:38.444780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7fa722a-0d83-41c1-9332-88ff2bb755fb · inbound

Transferable and Undefendable Point Cloud Attacks via Medial Axis Transform cites this paper.

Transferable and Undefendable Point Cloud Attacks via Medial Axis Transform Adversarial Attack and Defense on Point Sets

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T18:12:37.888624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 940858fc-78ef-440e-b7ab-28d130fc9c60 · inbound

Generating Adversarial Point Clouds Using Diffusion Model cites this paper.

Generating Adversarial Point Clouds Using Diffusion Model Adversarial Attack and Defense on Point Sets

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-15T18:05:54.548697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.