Paper Citation Record · LEDGER

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

As of 20 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2607.06484.

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

pith.paper-citation-record.v1
2607.06484 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

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

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 717d9203-84a3-42e9-aa4f-5afaf1ebafb3 · outbound

This paper cites Advancing security in software- defined vehicles: A comprehensive survey and taxonomy.arXiv preprint arXiv:2510.09675, 2025.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles Advancing security in software- defined vehicles: A comprehensive survey and taxonomy.arXiv preprint arXiv:2510.09675, 2025

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-08T04:24:32.523174Z

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Observation aa861137-36df-4d35-bafb-80d0a62b7202 · outbound

This paper cites A review on autonomous vehicles: Progress, methods and challenges,.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles A review on autonomous vehicles: Progress, methods and challenges,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:24:32.814568Z

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Observation d4273f2a-ddfd-46ff-99a9-c7e3ac7b911e · outbound

This paper cites A state- of-the-art review on attacks and defense mechanisms for lidar on autonomous vehicles,.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles A state- of-the-art review on attacks and defense mechanisms for lidar on autonomous vehicles,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:24:32.794423Z

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Observation ffb81839-0cb5-44ec-98e5-ad803f357924 · outbound

This paper cites Research advances and challenges of au- tonomous and connected ground vehicles,.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles Research advances and challenges of au- tonomous and connected ground vehicles,

Reference 4

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Observation 0fa995d1-6f6b-443a-bc50-b0234450fce5 · outbound

This paper cites Cooper: Cooperative perception for con- nected autonomous vehicles based on 3d point clouds,.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles Cooper: Cooperative perception for con- nected autonomous vehicles based on 3d point clouds,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:24:32.808723Z

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Observation 50731aee-8ee3-4fe4-b6f0-c45517915a9a · outbound

This paper cites Platelet: Pioneering security and privacy compliant simulation for intelligent transportation systems and v2x,.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles Platelet: Pioneering security and privacy compliant simulation for intelligent transportation systems and v2x,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:24:32.811576Z

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Observation 5c5fb0ab-0717-4f15-86f8-fe7e5a11c8e6 · outbound

This paper cites Survey on autonomous vehicle simulation platforms,.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles Survey on autonomous vehicle simulation platforms,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:24:32.820817Z

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Observation d3e7dae0-2ee3-4fdd-8b75-45ffae0948d3 · outbound

This paper cites A survey on simulators for testing self-driving cars,.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles A survey on simulators for testing self-driving cars,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:24:32.826463Z

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Observation b76aca0a-0148-497e-ac6c-d2ef0edb486c · outbound

This paper cites Choose your simulator wisely: A review on open-source simulators for autonomous driving,.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles Choose your simulator wisely: A review on open-source simulators for autonomous driving,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:24:32.829761Z

Source-reported events for the cited work

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Observation fd975bb7-c94e-4fb8-ada4-4f81666f5e12 · outbound

This paper cites Rl-gan-net: A reinforcement learning agent controlled gan network for real-time point cloud shape completion,.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles Rl-gan-net: A reinforcement learning agent controlled gan network for real-time point cloud shape completion,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:24:32.776206Z

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Observation d0c6283a-fa1a-4359-9005-22be10a21419 · outbound

This paper cites Dense point cloud comple- tion based on generative adversarial network,.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles Dense point cloud comple- tion based on generative adversarial network,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:24:32.785708Z

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Observation 7b771f77-139e-4425-8484-4618a6912233 · outbound

This paper cites A survey on gan techniques for data augmenta- tion to address the imbalanced data issues in credit card fraud detection,.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles A survey on gan techniques for data augmenta- tion to address the imbalanced data issues in credit card fraud detection,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:24:32.817782Z

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Observation 1399e710-d543-4616-8004-fc30fc697b00 · outbound

This paper cites Data Augmentation Revisited: Rethinking the Distribution Gap between Clean and Augmented Data.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles Data Augmentation Revisited: Rethinking the Distribution Gap between Clean and Augmented Data

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-07-08T04:24:32.503419Z

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Observation aea765dc-5cd4-48af-9980-ef637882a675 · outbound

This paper cites Sanitais: Unsupervised data augmenta- tion to sanitize trojaned neural networks,.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles Sanitais: Unsupervised data augmenta- tion to sanitize trojaned neural networks,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:24:32.789377Z

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Observation 44ee9afa-e816-4760-bc16-353387ec35a1 · outbound

This paper cites Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks

Reference 16

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Observation 26c4e253-b138-4ab9-8b5b-47f8fc9115b2 · outbound

This paper cites Data augmentation can improve robustness,.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles Data augmentation can improve robustness,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:24:32.797304Z

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Observation 5e825e85-8dc3-4025-b8ff-e55bcbbc8d1b · outbound

This paper cites Data augmentation for discrimination prevention and bias disam- biguation,.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles Data augmentation for discrimination prevention and bias disam- biguation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:24:32.772097Z

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Observation ad789d30-b60a-4068-8ac3-162d2fc417ad · outbound

This paper cites Image Data Augmentation for Deep Learning: A Survey.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles Image Data Augmentation for Deep Learning: A Survey

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-07-08T04:24:32.507592Z

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Observation 48dcd994-bf23-4fdc-b924-8a7a2755c6a5 · outbound

This paper cites Text data augmentation for deep learning,.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles Text data augmentation for deep learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:24:32.781780Z

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Observation e931efc8-34f4-416f-8c3d-d63a129382d5 · outbound

This paper cites Gan-based data augmentation and anonymiza- tion for skin-lesion analysis: A critical review,.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles Gan-based data augmentation and anonymiza- tion for skin-lesion analysis: A critical review,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:24:32.768176Z

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Observation c5097eb8-e8da-4fee-91ca-ef4c495b4c48 · outbound

This paper cites Pu-gan: a point cloud upsampling adversarial network,.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles Pu-gan: a point cloud upsampling adversarial network,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:24:32.760172Z

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Observation 58c6d4ed-bbf8-4578-98ae-ccb31b68f9d9 · outbound

This paper cites Simple and effective synthesis of indoor 3d scenes,.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles Simple and effective synthesis of indoor 3d scenes,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:24:32.763884Z

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Observation 88147819-53ec-4947-8a89-0fdb746955a4 · outbound

This paper cites Generating 3D adversarial point clouds,.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles Generating 3D adversarial point clouds,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:24:32.823607Z

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Observation 9db1d19b-5d14-428f-a4a5-9c8c6517a06c · outbound

This paper cites Advpc: Transferable adversarial perturbations on 3d point clouds,.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles Advpc: Transferable adversarial perturbations on 3d point clouds,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:24:32.787524Z

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Observation c33f6955-74f0-4bd8-a1c6-1df08781382f · outbound

This paper cites PointAPA: To- wards availability poisoning attacks in 3D point clouds,.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles PointAPA: To- wards availability poisoning attacks in 3D point clouds,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:24:32.791938Z

Source-reported events for the cited work

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Observation 5c2381d9-4f24-4ba4-bb67-70d62a6442fa · outbound

This paper cites Data poisoning against federated learning: Comparative analysis under label-flipping attacks and gan-generated eeg data,.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles Data poisoning against federated learning: Comparative analysis under label-flipping attacks and gan-generated eeg data,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:24:32.778269Z

Source-reported events for the cited work

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Observation 80c9658c-c0c4-4620-9ad8-dae0762dccd8 · outbound

This paper cites A comprehensive understanding of the impact of data augmentation on the transferability of 3d adversarial examples,.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles A comprehensive understanding of the impact of data augmentation on the transferability of 3d adversarial examples,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:24:32.755718Z

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Observation b7877bb8-cf92-4bf8-a095-bc4303b898de · outbound

This paper cites Securing Traffic Sign Recognition Systems in Autonomous Vehicles.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles Securing Traffic Sign Recognition Systems in Autonomous Vehicles

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-07-08T04:24:32.513004Z

Source-reported events for the cited work

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Observation 0f71acb3-5154-43d0-a438-4e944ee4311a · outbound

This paper cites Adversarial examples in the physical world,.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles Adversarial examples in the physical world,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:24:32.780051Z

Source-reported events for the cited work

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Observation cecdbc27-f16f-4765-8f0a-21b762689bff · outbound

This paper cites Lazrag, C.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles Lazrag, C

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:24:32.800114Z

Source-reported events for the cited work

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Observation 8f957867-4215-43d2-badc-2bda3eacce74 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles nuscenes: A multimodal dataset for autonomous driving,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:24:32.805755Z

Source-reported events for the cited work

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Observation 33de8735-b8a2-4433-978a-68d86ba076fb · outbound

This paper cites Learning a probabilistic latent space of object shapes via 3D generative-adversarial modeling,.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles Learning a probabilistic latent space of object shapes via 3D generative-adversarial modeling,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:24:32.770225Z

Source-reported events for the cited work

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Observation 09be4273-ffc0-488e-a918-22e74ec8535c · outbound

This paper cites 3D ShapeNets: A Deep Representation for Volumetric Shapes,.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles 3D ShapeNets: A Deep Representation for Volumetric Shapes,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:24:32.783781Z

Source-reported events for the cited work

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Observation 95c35041-8027-481f-9a2b-495a851b4e44 · outbound

This paper cites Pointcloud saliency maps,.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles Pointcloud saliency maps,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:24:32.762048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

This paper cites Adversarial Attack and Defense on Point Sets.

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

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Observation e8c689af-ab94-47c0-9e99-4f89eeecbf8a · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles Adam: A Method for Stochastic Optimization

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-07-08T04:24:32.516495Z

Source-reported events for the cited work

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Observation 729db78b-83a7-4807-bb1e-c05c38b1dfbe · outbound

This paper cites Binary cross entropy with deep learning technique for image classification,.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles Binary cross entropy with deep learning technique for image classification,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:24:32.766119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3b02a98c-c495-4941-bf17-07c8e6875eed · outbound

This paper cites Chollet and F.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles Chollet and F

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:24:32.774026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 76334942-6f9d-4aa2-8820-e6e25dd09b47 · outbound

This paper cites Deep-learning-based vulnerability detection in binary executables,.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles Deep-learning-based vulnerability detection in binary executables,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:24:32.758220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.