Paper Citation Record · LEDGER

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy

As of 11 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2502.01896.

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

pith.paper-citation-record.v1
2502.01896 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:08:38.622972Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-07T16:46:01.749101Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T23:31:17.407354Z

Reference resolution

35 of 35 outbound references displayed

verified exact1
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External citation measurements

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Outbound references

Observation 3ba40b52-450f-4a20-90f0-e61729cf3ba6 · outbound

This paper cites Robust localization of mobile robots considering reliability of lidar measurements,.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy Robust localization of mobile robots considering reliability of lidar measurements,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:08:40.123882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d865e559-0f10-4415-b64b-bcb2777cdfe0 · outbound

This paper cites Extended kalman filter (ekf) design for vehicle position tracking using reliability function of radar and lidar,.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy Extended kalman filter (ekf) design for vehicle position tracking using reliability function of radar and lidar,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:08:40.036029Z

Source-reported events for the cited work

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Observation 445c8b06-f15c-450d-95a7-4800aaed32ce · outbound

This paper cites Uav for 3d mapping applications: a review,.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy Uav for 3d mapping applications: a review,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:08:40.019917Z

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Observation ad38a9e0-5a28-421f-8d9e-d6a44794a77b · outbound

This paper cites L3-net: Towards learning based lidar localization for autonomous driving,.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy L3-net: Towards learning based lidar localization for autonomous driving,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:08:39.990215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3c2677f9-17a1-4587-938a-f3f50a8facee · outbound

This paper cites Lidar denoising methods in adverse environments: A review,.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy Lidar denoising methods in adverse environments: A review,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:08:39.867114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f077cae6-0029-4c9d-bc04-13827c6b2532 · outbound

This paper cites Deep learning for lidar point clouds in autonomous driving: A review,.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy Deep learning for lidar point clouds in autonomous driving: A review,

Reference 6

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Source-reported events for the cited work

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Observation afdfa1e5-2b48-4899-aa7f-fc37bc6e3ebd · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7b86c18-fd20-4381-bf56-458f27f545af · outbound

This paper cites Curriculum learning,.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy Curriculum learning,

Reference 8

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Source-reported events for the cited work

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Observation 69e7157f-431c-4123-869e-45a44d78039a · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks,.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy Model-agnostic meta-learning for fast adaptation of deep networks,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T14:08:38.190544Z

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Unavailable: canonical work link unavailable.

Observation 8350728c-5c20-462b-ae06-882796739c39 · outbound

This paper cites A two-stage clustering based 3d visual saliency model for dynamic scenarios,.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy A two-stage clustering based 3d visual saliency model for dynamic scenarios,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:08:39.758681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4851a498-911b-4ab1-8417-df0764c158c7 · outbound

This paper cites Curriculum Adversarial Training.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy Curriculum Adversarial Training

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T14:08:38.202523Z

Source-reported events for the cited work

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Observation d17a39e7-f4d1-4b94-aa9c-a00c9f5c9d0c · outbound

This paper cites Adversarial robustness without adversarial training: A teacher-guided curriculum learning approach,.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy Adversarial robustness without adversarial training: A teacher-guided curriculum learning approach,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:08:39.707664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4da8eacf-e34d-4afc-94cc-e718401007b1 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite,.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy Are we ready for autonomous driving? the kitti vision benchmark suite,

Reference 13

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Source-reported events for the cited work

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Observation 896962c3-6487-4742-8ad6-210f2dd5b594 · outbound

This paper cites Argoverse: 3d tracking and forecasting with rich maps,.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy Argoverse: 3d tracking and forecasting with rich maps,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:08:39.654068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 488882fa-7f0b-44c2-8fbb-daebec34734b · outbound

This paper cites 3d shapenets: A deep representation for volumetric shapes,.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy 3d shapenets: A deep representation for volumetric shapes,

Reference 15

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Source-reported events for the cited work

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Observation 15b06a19-e6c6-4141-b454-ac6350de6db4 · outbound

This paper cites Lightweight, uncertainty-aware conformalized visual odometry,.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy Lightweight, uncertainty-aware conformalized visual odometry,

Reference 16

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Source-reported events for the cited work

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Observation 9cf34b5d-c45d-40e9-bd8d-1ed64517c399 · outbound

This paper cites STARNet: Sensor Trustworthiness and Anomaly Recognition via Approximated Likelihood Regret for Robust Edge Autonomy.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy STARNet: Sensor Trustworthiness and Anomaly Recognition via Approximated Likelihood Regret for Robust Edge Autonomy

Reference 17

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Observation 439f05b8-5565-46fd-9a30-22c5046a4d10 · outbound

This paper cites Mutual information-calibrated conformal feature fusion for uncertainty- aware multimodal 3d object detection at the edge,.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy Mutual information-calibrated conformal feature fusion for uncertainty- aware multimodal 3d object detection at the edge,

Reference 18

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Observation 92d8ad7b-4087-4f89-956e-5717a9ff9387 · outbound

This paper cites Deep learning on 3d point clouds,.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy Deep learning on 3d point clouds,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:08:39.561534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d99fb307-2b32-4658-8454-c9574d156566 · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space,.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 20

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Observation 75ad91c6-b2a5-4a36-a82a-c73df79d4e9f · outbound

This paper cites Dynamic graph cnn for learning on point clouds,.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy Dynamic graph cnn for learning on point clouds,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T14:08:38.347547Z

Source-reported events for the cited work

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Observation 7628d892-fa5a-41d9-a1fa-d198c7da9810 · outbound

This paper cites Point transformer,.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy Point transformer,

Reference 22

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Observation bb0a8f3c-5fda-4cfb-be4f-7af368a1e1d0 · outbound

This paper cites Conformalized multimodal uncertainty regression and reasoning,.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy Conformalized multimodal uncertainty regression and reasoning,

Reference 23

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Observation bc3e5f48-1743-4ce5-ac35-cde3453c109f · outbound

This paper cites Enhancing 3D Robotic Vision Robustness by Minimizing Adversarial Mutual Information through a Curriculum Training Approach.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy Enhancing 3D Robotic Vision Robustness by Minimizing Adversarial Mutual Information through a Curriculum Training Approach

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-09T14:08:38.769147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ad901012-e853-492f-8868-fe80909d9ed3 · outbound

This paper cites Sense Less, Generate More: Pre-training LiDAR Perception with Masked Autoencoders for Ultra-Efficient 3D Sensing.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy Sense Less, Generate More: Pre-training LiDAR Perception with Masked Autoencoders for Ultra-Efficient 3D Sensing

Reference 25

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Observation 92a920ed-9758-4b24-bfe4-8827f3b3c9ef · outbound

This paper cites Navigating the unknown: Uncertainty-aware compute- in-memory autonomy of edge robotics,.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy Navigating the unknown: Uncertainty-aware compute- in-memory autonomy of edge robotics,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T14:08:38.458705Z

Source-reported events for the cited work

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Observation a931bc6f-375c-48d1-b5b8-c712411009dc · outbound

This paper cites Robustness of 3d deep learning in an adversarial setting,.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy Robustness of 3d deep learning in an adversarial setting,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:08:39.437145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f8d3637f-62d1-49f0-8d44-0759c596ed2c · outbound

This paper cites Enhancing generalization of first-order meta-learning,.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy Enhancing generalization of first-order meta-learning,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:08:39.419462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bf59cf58-266e-4755-be2a-1324367d1620 · outbound

This paper cites On episodes, prototypical networks, and few-shot learning,.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy On episodes, prototypical networks, and few-shot learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:08:39.347464Z

Source-reported events for the cited work

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Observation affcee28-7020-4abe-ae4f-4f2437f22259 · outbound

This paper cites Pointpillars: Fast encoders for object detection from point clouds,.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy Pointpillars: Fast encoders for object detection from point clouds,

Reference 30

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Observation ced48665-0c1b-4a64-ab89-d35eae8a22d3 · outbound

This paper cites Second: Sparsely embedded convolutional detection,.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy Second: Sparsely embedded convolutional detection,

Reference 31

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Source-reported events for the cited work

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Observation 4c1c4b3d-ffe7-4835-ba4e-6033d91d35f2 · outbound

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

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy Centerformer: Center-based transformer for 3d object detection,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:08:39.186762Z

Source-reported events for the cited work

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Observation dbc2aa4c-965e-41c2-bd48-fa2850e7f1c4 · outbound

This paper cites Transformation- equivariant 3d object detection for autonomous driving,.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy Transformation- equivariant 3d object detection for autonomous driving,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:08:39.063711Z

Source-reported events for the cited work

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Observation d6465a52-51bf-4313-b63e-3d9ca26c9c10 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation,.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T14:08:38.557905Z

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Observation a99cc816-3f60-4522-aa97-be4b011619dc · outbound

This paper cites Pointconv: Deep convolutional networks on 3d point clouds,.

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy Pointconv: Deep convolutional networks on 3d point clouds,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-09T14:08:38.622972Z

Source-reported events for the cited work

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Pith citing papers

Observation 2214155e-13e6-487d-8d80-a351f581a34f · inbound

VLM Judges Can Rank but Cannot Score: Task-Dependent Uncertainty in Multimodal Evaluation cites this paper.

VLM Judges Can Rank but Cannot Score: Task-Dependent Uncertainty in Multimodal Evaluation INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:31:17.411047Z

Source-reported events for the cited work

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