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Paper Citation Record · LEDGER

Adversarial Attack and Defense on Point Sets

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 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 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:57:16.198619Z

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 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.

source=pdf_text observed=2026-08-12T15:57:16.198619Z digest=sha256:554254006f9462a9e5dd5d438046356ad6d97e5e7ca7a2ef97bf136f44e3099c

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T08:37:08.467026Z digest=sha256:9b9e2971a74b1b5fefe6f67b736e4f5a9f1da31291639fd15b0ef285b213aeff

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.

source=pdf_text observed=2026-08-11T14:00:01.739675Z digest=sha256:07127b55671b285b6aad7b26e5710f2131a34ef3ee155c6ec7214c91b58fffac

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.

source=pdf_text observed=2026-08-11T01:03:44.113840Z digest=sha256:96c3d11e51e069f189c9b8699b0c20b38f9e2829959c86cb2481681324a42348

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.

source=pdf_text observed=2026-08-07T05:50:44.808655Z digest=sha256:0ce321bd2fdebecddfd33ad644c6ea0618b16ca5b780293d283fd041ed55af3a

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.

source=pdf_text observed=2026-08-06T21:15:07.852315Z digest=sha256:64886fa295b172d058e0bd69c7dcdc91646f8ebea13a7e06c2a8f3443fdfb4cd

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.

source=pdf_text observed=2026-08-06T19:44:38.444780Z digest=sha256:a8d42a199d2f658917596f1e0be338f10459a9e9d2f8726ac9edfd91c07a0dd4

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-11T02:05:53.339767Z digest=sha256:9bb4e1f4ed4007550b96d2a42a29ec234eb28ee44d3ad38eccfcf59ec088e29d

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-25T06:32:13.086880Z digest=sha256:4d02d29bdee13fdb0343bc3a0822cedbe682e3958ac34dfd82bc66b3882817ff

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-30T06:05:11.574600Z digest=sha256:f013d47ae15d7187f532dc45bdcf1e3af434e97bc4d7d91877fd36c900a759c6

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-02T20:43:05.905052Z digest=sha256:6ff49d7cf327e3352a6d33cf023ea015e2e3d42a6bdcc2da6a6c05aa83b5af70

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-08T04:23:30.131507Z digest=sha256:06bcb3ec0706bc19f56ad46e78c0c91ad7a6b7bb1b81efcb7cfd36632399b57c