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Paper Citation Record · LEDGER

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception

As of 21 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2606.02924.

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

pith.paper-citation-record.v1
2606.02924 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T14:47:30.097347Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved32
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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Outbound references

Observation d9a6fd0f-811f-46a6-92a9-744a60869649 · outbound

This paper cites Convnet-generated adversarial perturbations for evaluating 3d object detection robustness.

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception Convnet-generated adversarial perturbations for evaluating 3d object detection robustness

Reference 1

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source=pdf_text observed=2026-06-28T14:47:30.097347Z digest=sha256:f23b91f817714f1bf8b3b8435cd0d9cd0cc878eac5c22de40032f10855a60730

Observation ce89a0d0-97a7-4024-a3ee-1884e636aa22 · outbound

This paper cites Zenseact open dataset: A large-scale and diverse multimodal dataset for autonomous driving.

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception Zenseact open dataset: A large-scale and diverse multimodal dataset for autonomous driving

Reference 2

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source=pdf_text observed=2026-06-28T14:47:30.097347Z digest=sha256:8bfc8d12a16d1373fd2bb5c9edd5d948e352be4d9e7e3199ad776a7581e86af9

Observation 826f86a3-b457-4919-a672-9b90b8ec0a50 · outbound

This paper cites Argoverse 2: Next generation datasets for self-driving perception and forecasting.

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception Argoverse 2: Next generation datasets for self-driving perception and forecasting

Reference 3

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Observation 02195eaa-13eb-48a9-8c68-2b3c99ffd607 · outbound

This paper cites Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom.

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom

Reference 4

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source=pdf_text observed=2026-06-28T14:47:30.097347Z digest=sha256:d9d9f2b306f3bc7019c57e410afb5208e53e51a6ffc1486d3c4a6d962ea3e31e

Observation 4f359699-b4d4-4740-b75a-bdb72dd3adea · outbound

This paper cites You can’t see me: Physical removal attacks on lidar-based autonomous vehicles driving frameworks.

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception You can’t see me: Physical removal attacks on lidar-based autonomous vehicles driving frameworks

Reference 5

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source=pdf_text observed=2026-06-28T14:47:30.097347Z digest=sha256:e63e537f460fe506231a24228f60119ced880ae949302e3453dbb0c65997259b

Observation 2d6bf475-a175-4177-b048-211838eb2dd5 · outbound

This paper cites Morley Mao.

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception Morley Mao

Reference 6

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source=pdf_text observed=2026-06-28T14:47:30.097347Z digest=sha256:c3f28b274472f49d666f3b61c7797d7611821ee70dc8c0b6af115443085e462b

Observation 31c3fad2-6823-41c6-b4de-c6a2367e9338 · outbound

This paper cites MMDetection3D: OpenMMLab next-generation platform for general 3D object detection.https://github.com/open-mmlab/mmdetection3d, 2020.

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception MMDetection3D: OpenMMLab next-generation platform for general 3D object detection.https://github.com/open-mmlab/mmdetection3d, 2020

Reference 7

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source=pdf_text observed=2026-06-28T14:47:30.097347Z digest=sha256:571a3aa1f1c42c728c915093f5e60810aa5e4b7c38bde3fc5d051eb9973677e8

Observation 3ed1de87-a04f-47c7-b056-e61a59b9b316 · outbound

This paper cites Benchmarking robustness of 3d object detection to common corruptions.

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception Benchmarking robustness of 3d object detection to common corruptions

Reference 8

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Observation bb53dce5-21c1-4e01-9711-ff06fe66df59 · outbound

This paper cites Vision meets robotics: The kitti dataset.The international journal of robotics research, 32(11):1231–1237, 2013.

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception Vision meets robotics: The kitti dataset.The international journal of robotics research, 32(11):1231–1237, 2013

Reference 9

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source=pdf_text observed=2026-06-28T14:47:30.097347Z digest=sha256:a90bbfd54a242b547bb7799fd0a02945e3e8125c0ebc2e5e466e5b2533d554d4

Observation c990cf8f-1664-4344-9ce4-c35d9b33cbd2 · outbound

This paper cites Msf: Motion-guided sequential fusion for efficient 3d object detection from point cloud sequences.

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception Msf: Motion-guided sequential fusion for efficient 3d object detection from point cloud sequences

Reference 10

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source=pdf_text observed=2026-06-28T14:47:30.097347Z digest=sha256:95008304e9a79b8a3aa70891a17623f596eec39868018e90502fe10475d6a324

Observation 48b7f3ec-b881-4164-8f15-01b785ab222d · outbound

This paper cites Ptt: Point-trajectory transformer for efficient temporal 3d object detection.

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception Ptt: Point-trajectory transformer for efficient temporal 3d object detection

Reference 11

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source=pdf_text observed=2026-06-28T14:47:30.097347Z digest=sha256:39ff2f574c4a5e8154a288d9cb41523f17564121c4209eb46ab8cdbfdb11b55f

Observation b3c532f8-bf30-4ab0-a4c7-1c88b2e0e103 · outbound

This paper cites Pla-lidar: Physical laser attacks against lidar-based 3d object detection in autonomous vehicle.

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception Pla-lidar: Physical laser attacks against lidar-based 3d object detection in autonomous vehicle

Reference 12

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source=pdf_text observed=2026-06-28T14:47:30.097347Z digest=sha256:16e9add7ed9dce9180ff3326391372748921d8d8ec43eaf32e321c5b5b66cfd2

Observation ba654b8f-8232-4dab-a0ee-e2ef9735cd08 · outbound

This paper cites Phantomlidar: Cross- modality signal injection attacks against lidar.

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception Phantomlidar: Cross- modality signal injection attacks against lidar

Reference 13

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source=pdf_text observed=2026-06-28T14:47:30.097347Z digest=sha256:fcb1c21f6d0f378c6fce37b9da26e2379d9c7d5ae393be05b4821371859f120b

Observation be9a0110-99e8-47b4-a853-0bcc2f7b1970 · outbound

This paper cites Invisible but detected: Physical adversarial shadow attack and defense on LiDAR object detection.

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception Invisible but detected: Physical adversarial shadow attack and defense on LiDAR object detection

Reference 14

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source=pdf_text observed=2026-06-28T14:47:30.097347Z digest=sha256:f9266c392bfe5790b28972d0e586fac5e2195969d7464c29d9148c9d11c9d3c1

Observation 689f6629-524a-40ac-bb1b-47c1ec78d588 · outbound

This paper cites Lang, Sourabh V ora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom.

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception Lang, Sourabh V ora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom

Reference 15

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source=pdf_text observed=2026-06-28T14:47:30.097347Z digest=sha256:366a9c9d5565838e8fc83c31790d13282061d0988ce073259126d6166d3bb85b

Observation 0285123f-24e8-4095-a4fc-46717d0357f8 · outbound

This paper cites Logonet: Towards accurate 3d object detection with local-to-global cross-modal fusion.

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception Logonet: Towards accurate 3d object detection with local-to-global cross-modal fusion

Reference 16

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Observation 573db8fe-a8a9-4e21-a468-614fbb3a3dab · outbound

This paper cites Li et al.

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception Li et al

Reference 17

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source=pdf_text observed=2026-06-28T14:47:30.097347Z digest=sha256:b0a668bb7faba2338d1e34a19f8fd9b74ce1b87b9bc8d6d6e3dc40336946f8d9

Observation b694781f-e5a1-46e7-9e3d-5f65deda1938 · outbound

This paper cites Practical removal attacks on lidar-based object detection in autonomous driving.

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception Practical removal attacks on lidar-based object detection in autonomous driving

Reference 18

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source=pdf_text observed=2026-06-28T14:47:30.097347Z digest=sha256:09082588d50e21a5fe97b8877f79a899eba29ec1b7540418803925402ff26d1b

Observation e14240cc-dad2-4c4b-b38e-b97bf93408cf · outbound

This paper cites On the realism of lidar spoofing attacks against autonomous driving vehicle at high speed and long distance.

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception On the realism of lidar spoofing attacks against autonomous driving vehicle at high speed and long distance

Reference 19

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source=pdf_text observed=2026-06-28T14:47:30.097347Z digest=sha256:93a5515825c7fce19e1d5e0899dfab782a03e97fa5c8d6c87fc27619fbc2d4ac

Observation 44717e4c-869c-434d-8b84-0ce4d6575a67 · outbound

This paper cites Morley Mao.

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception Morley Mao

Reference 20

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source=pdf_text observed=2026-06-28T14:47:30.097347Z digest=sha256:21e49a8936c37170f1af8072774c3541fdd7c02389774f5ae5ca823d07f2543b

Observation 3d41685b-37c5-4908-90a4-78412d3b373e · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception Scalability in perception for autonomous driving: Waymo open dataset

Reference 21

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source=pdf_text observed=2026-06-28T14:47:30.097347Z digest=sha256:58b0486f10828e5b7d2cee114821a6c008c4b7e90adb877f86dccb6bdbbe1bea

Observation 87667dc0-a2b0-498c-8a5f-d13c5eb946cd · outbound

This paper cites Wip: Towards practical lidar spoofing attack against vehicles driving at cruising speeds.

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception Wip: Towards practical lidar spoofing attack against vehicles driving at cruising speeds

Reference 22

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Observation 86d9182d-d0ac-42bf-a097-b4f6b97b937d · outbound

This paper cites Openpcdet: An open-source toolbox for 3d object detection from point clouds.https://github.com/open-mmlab/OpenPCDet, 2020.

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception Openpcdet: An open-source toolbox for 3d object detection from point clouds.https://github.com/open-mmlab/OpenPCDet, 2020

Reference 23

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source=pdf_text observed=2026-06-28T14:47:30.097347Z digest=sha256:bc969c2dfa3473a66daea4df483b759ab01447eb0b85523933277819f2c17c6a

Observation 88d6fb63-15e6-4b1c-9441-3e79afb51d81 · outbound

This paper cites Physically realizable adversarial examples for lidar object detection, 2020.

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception Physically realizable adversarial examples for lidar object detection, 2020

Reference 24

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source=pdf_text observed=2026-06-28T14:47:30.097347Z digest=sha256:7e905271c739657b166a3bbc98a44ac15c07e1961a5fa0f0203a88f6c7135756

Observation a5e172f8-8e86-41b1-9007-32eae0d97146 · outbound

This paper cites Dsvt: Dynamic sparse voxel transformer with rotated sets.

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception Dsvt: Dynamic sparse voxel transformer with rotated sets

Reference 25

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source=pdf_text observed=2026-06-28T14:47:30.097347Z digest=sha256:db2e168dab3b4a08bf32c062dfe7ebf623e772a812a80434df26285995d3ecff

Observation ba3de6ae-e129-481d-a436-0bd86ee12239 · outbound

This paper cites V2x-real: A large-scale dataset for vehicle-to-everything cooperative perception.

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception V2x-real: A large-scale dataset for vehicle-to-everything cooperative perception

Reference 26

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Observation b2062254-01bd-43a3-a8b1-7e0ca85e84c4 · outbound

This paper cites Second: Sparsely embedded convolutional detection.

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception Second: Sparsely embedded convolutional detection

Reference 27

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source=pdf_text observed=2026-06-28T14:47:30.097347Z digest=sha256:64b383b627b27c0410557e67cf947afad2af396b44a4f9cfa5ae5ebaf7f98557

Observation 4e35202c-1eab-4b72-be77-6a58b69a923c · outbound

This paper cites Center-based 3d object detection and tracking.

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception Center-based 3d object detection and tracking

Reference 28

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source=pdf_text observed=2026-06-28T14:47:30.097347Z digest=sha256:1aa67ea3bb2a9f0ac1f298360b92f7bde331998d6640b7c36e08aab97062f2fa

Observation d193a2a5-b79f-4c86-b422-5bded53a521d · outbound

This paper cites Zhang, Glen Chou, and Saibal Mukhopadhyay.

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception Zhang, Glen Chou, and Saibal Mukhopadhyay

Reference 29

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Observation 453b178f-3f65-49bc-be6c-5c6c6ff072b9 · outbound

This paper cites Centerformer: Center-based transformer for 3d object detection.

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception Centerformer: Center-based transformer for 3d object detection

Reference 30

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Observation d7f57f18-f6ed-42da-ab4d-ac9ce2488339 · outbound

This paper cites Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection.

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection

Reference 31

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arxiv_id, observed 2026-07-01T23:06:19.526054Z

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source=pdf_text observed=2026-06-28T14:47:30.097347Z digest=sha256:d3b1cc0863993dfce3725b57b82e55681065056e2fd91719fd161a80b2c06678

Observation 4a4800e3-fbfb-4cd1-895f-7ce0ba935f69 · outbound

This paper cites Roscenes: A large-scale multi-view 3d dataset for roadside perception.

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception Roscenes: A large-scale multi-view 3d dataset for roadside perception

Reference 32

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Observation 12f6e3d2-a0c1-454c-8dfb-1897e58558fa · outbound

This paper cites To ensure that spoofed observations propagate through the detection pipeline realistically, we recompute region proposals using CP4F [28].

ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception To ensure that spoofed observations propagate through the detection pipeline realistically, we recompute region proposals using CP4F [28]

Reference 33

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