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Paper Citation Record · LEDGER

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining

As of 17 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2504.21699.

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

pith.paper-citation-record.v1
2504.21699 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:00:39.264136Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

35 of 35 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 263acef1-4a88-4222-84fd-3ed39e01bc74 · outbound

This paper cites The impacts of heavy rain on speed and headway behaviors: An investigation using the shrp2 naturalistic driving study data,.

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining The impacts of heavy rain on speed and headway behaviors: An investigation using the shrp2 naturalistic driving study data,

Reference 1

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Observation 649db5f0-b29d-4f3a-8dda-a2e97bc877bd · outbound

This paper cites Triplemixer: A 3d point cloud denoising model for adverse weather,.

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining Triplemixer: A 3d point cloud denoising model for adverse weather,

Reference 2

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Observation 3c60e49f-6118-4cd5-bc93-3437bd9f7c3c · outbound

This paper cites 3d-outdet: A fast and memory efficient outlier detector for 3d lidar point clouds in adverse weather,.

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining 3d-outdet: A fast and memory efficient outlier detector for 3d lidar point clouds in adverse weather,

Reference 3

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Observation f8031ff2-f14a-4668-bac6-b682b20a4f71 · outbound

This paper cites 3d- unoutdet: A fast and efficient unsupervised snow removal algorithm for 3d lidar point clouds,.

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining 3d- unoutdet: A fast and efficient unsupervised snow removal algorithm for 3d lidar point clouds,

Reference 4

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Observation 39306664-fbec-4755-a939-f6e37a866c71 · outbound

This paper cites Energy-based detection of adverse weather effects in lidar data,.

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining Energy-based detection of adverse weather effects in lidar data,

Reference 5

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Observation 71de0afc-41ff-450e-832f-8c3a364959a6 · outbound

This paper cites Cnn- based lidar point cloud de-noising in adverse weather,.

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining Cnn- based lidar point cloud de-noising in adverse weather,

Reference 6

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Observation ef454db8-1172-48c8-8c61-8e2315110ce0 · outbound

This paper cites Smart- rain: A degradation evaluation dataset for autonomous driving in rain,.

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining Smart- rain: A degradation evaluation dataset for autonomous driving in rain,

Reference 7

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Observation 152b8a0d-03e2-4202-a513-6491e1f6f329 · outbound

This paper cites DSOR: A Scalable Statistical Filter for Removing Falling Snow from LiDAR Point Clouds in Severe Winter Weather.

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining DSOR: A Scalable Statistical Filter for Removing Falling Snow from LiDAR Point Clouds in Severe Winter Weather

Reference 8

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Observation 796dbfe9-2b29-400f-908b-5ab6a3dc43db · outbound

This paper cites Rehearse: adverse weather dataset for sensory noise models,.

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining Rehearse: adverse weather dataset for sensory noise models,

Reference 9

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Observation c78e447c-cde8-4676-acb6-e49722a17b5e · outbound

This paper cites Vision meets robotics: The kitti dataset,.

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining Vision meets robotics: The kitti dataset,

Reference 10

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Observation c59acba7-c2d0-4eaf-9980-921f2e3d0b5b · outbound

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

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining nuscenes: A multimodal dataset for autonomous driving,

Reference 11

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Observation 24350610-3184-4ce7-8dab-ab45ef97d7a6 · outbound

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

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining Scalability in perception for autonomous driving: Waymo open dataset,

Reference 12

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Observation e6f8ea57-6bac-4d6f-b153-65ffbc061ed4 · outbound

This paper cites Bdd100k: A diverse driving dataset for heterogeneous multitask learning,.

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining Bdd100k: A diverse driving dataset for heterogeneous multitask learning,

Reference 13

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation cf51a481-813a-4135-88c2-d8f1fa4a0697 · outbound

This paper cites Bosch Street Dataset: A Multi-Modal Dataset with Imaging Radar for Automated Driving.

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining Bosch Street Dataset: A Multi-Modal Dataset with Imaging Radar for Automated Driving

Reference 14

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Observation 41457957-3828-4bbe-b204-801499771e62 · outbound

This paper cites Perception and sensing for autonomous vehicles under adverse weather conditions: A survey,.

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining Perception and sensing for autonomous vehicles under adverse weather conditions: A survey,

Reference 15

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 23fe73f6-3af7-4d12-9627-dbe4d18d18a8 · outbound

This paper cites Open-sourced Data Ecosystem in Autonomous Driving: the Present and Future.

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining Open-sourced Data Ecosystem in Autonomous Driving: the Present and Future

Reference 16

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Observation 7abed124-1821-49e4-8afe-ba8265cd6f23 · outbound

This paper cites 3d semantic segmentation in the wild: Learning generalized models for adverse -condition point clouds,.

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining 3d semantic segmentation in the wild: Learning generalized models for adverse -condition point clouds,

Reference 17

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Observation 7602a7da-4b75-45c5-989b-3750a70a0213 · outbound

This paper cites OORD: The Oxford Offroad Radar Dataset.

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining OORD: The Oxford Offroad Radar Dataset

Reference 18

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Observation 3103cdeb-c2bb-45f0-89fa-2f3e3ba270ed · outbound

This paper cites Canadian adverse driving conditions dataset,.

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining Canadian adverse driving conditions dataset,

Reference 19

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Source-reported events for the cited work

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Observation acc7f69a-8285-413a-b4ce-ec907732e57a · outbound

This paper cites Msu- 4s-the michigan state university four seasons dataset,.

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining Msu- 4s-the michigan state university four seasons dataset,

Reference 20

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Observation c39182ce-43f3-4604-b94d-a9e4e7fb3b5d · outbound

This paper cites MAN TruckScenes: A multimodal dataset for autonomous trucking in diverse conditions.

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining MAN TruckScenes: A multimodal dataset for autonomous trucking in diverse conditions

Reference 21

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Observation 92a432bc-1c05-449e-bbd5-3c0472b326c0 · outbound

This paper cites MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty.

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty

Reference 22

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Observation 1a955a7b-7a96-4bc3-88ac-f39137cf559b · outbound

This paper cites Robo3d: Towards robust and reliable 3d perception against corruptions,.

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining Robo3d: Towards robust and reliable 3d perception against corruptions,

Reference 23

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Observation ca0426c4-6d2a-4d3a-a57c-b11b7781bee7 · outbound

This paper cites Multicorrupt: A multi -modal robustness dataset and benchmark of lidar-camera fusion for 3d object detection,.

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining Multicorrupt: A multi -modal robustness dataset and benchmark of lidar-camera fusion for 3d object detection,

Reference 24

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Observation 3b279a3b-7928-4789-a894-7574fa5ee09e · outbound

This paper cites The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition.

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition

Reference 25

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Observation d45c86de-3a94-47c1-b91f-3e25d2892fad · outbound

This paper cites Towards 3D LiDAR -based semantic scene under -standing of 3D point cloud sequences: The SemanticKITTI Dataset,.

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining Towards 3D LiDAR -based semantic scene under -standing of 3D point cloud sequences: The SemanticKITTI Dataset,

Reference 26

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 04da2075-ad2d-4ad5-b066-01a73beea416 · outbound

This paper cites 4denoisenet: Adverse weather denoising from adjacent point clouds,.

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining 4denoisenet: Adverse weather denoising from adjacent point clouds,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 451ec15b-f9c0-4320-941b-d2f4718efb5c · outbound

This paper cites TWICE Dataset: Digital Twin of Test Scenarios in a Controlled Environment.

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining TWICE Dataset: Digital Twin of Test Scenarios in a Controlled Environment

Reference 28

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Observation f5c541c3-bc8f-4db0-a144-a22fa4b62b3f · outbound

This paper cites Road spray in lidar and radar data for individual moving objects,.

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining Road spray in lidar and radar data for individual moving objects,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b54ae91f-7b20-464b-b884-8780adbd5cfd · outbound

This paper cites Synthetic extreme weather for ai training: Concept and validation,.

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining Synthetic extreme weather for ai training: Concept and validation,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 542a58e1-3e5b-4fb5-b3cc-a3c1cd784147 · outbound

This paper cites Realistic lidar with noise model for real -time testing of automated vehicles in a virtual environment,.

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining Realistic lidar with noise model for real -time testing of automated vehicles in a virtual environment,

Reference 31

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation eb320c8b-a159-4d46-9850-0695dbeb3011 · outbound

This paper cites Salsanext: Fast, uncertainty-aware semantic segmentation of lidar point clouds,.

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining Salsanext: Fast, uncertainty-aware semantic segmentation of lidar point clouds,

Reference 32

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Observation 74e85162-52f8-4790-888a-0441da6bcce1 · outbound

This paper cites Lisnownet: Real -time snow removal for lidar point clouds,.

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining Lisnownet: Real -time snow removal for lidar point clouds,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:00:39.471915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T05:00:39.253464Z digest=sha256:54f3c8cf998a0dae5052829a5a88d470db24eb4b526774567f975530070c4e4c

Observation 2193bf55-74c4-41ae-9a55-93ba702512ac · outbound

This paper cites De -noising of lidar point clouds corrupted by snowfall,.

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining De -noising of lidar point clouds corrupted by snowfall,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:00:39.457001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T05:00:39.258969Z digest=sha256:0205bbdbc69ac6548bfb68fb141be21152023f59c8e5da46627029285e75073a

Observation 40ffa8fb-d5d3-47fc-b804-5abbcd1f4798 · outbound

This paper cites 3d is here: Point cloud library (pcl),.

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining 3d is here: Point cloud library (pcl),

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-16T05:00:39.264136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:00:39.264136Z digest=sha256:8adcc87737aa5538e90b53376920a46d86a9c022a9aae3a9c89adacf31635baf

Pith citing papers

No inbound Pith citation observations are available.