Paper Citation Record · LEDGER

How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+

As of 17 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2506.16531.

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

pith.paper-citation-record.v1
2506.16531 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:27:55.767251Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

31 of 31 outbound references displayed

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verified fuzzy28
unresolved3
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3d20af40-aaea-4e87-8b06-39c160ab884b · outbound

This paper cites Object detection in degraded LiDAR signals by synthetic snowfall noise for autonomous driving,.

How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+ Object detection in degraded LiDAR signals by synthetic snowfall noise for autonomous driving,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:27:56.145932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 58705b8d-211a-4b98-844c-70b0b78f0c40 · outbound

This paper cites Fast statistical outlier removal based method for large 3D point clouds of outdoor environments,.

How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+ Fast statistical outlier removal based method for large 3D point clouds of outdoor environments,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:27:56.135201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c3bf56db-33be-48cb-b4bf-68064e503f4a · outbound

This paper cites LiDAR point cloud de-noising for adverse weather,.

How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+ LiDAR point cloud de-noising for adverse weather,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:27:56.124113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a04d6f1d-e021-40fc-8601-9788580bc65d · outbound

This paper cites Seeing through fog without seeing fog: Deep multimodal sensor fusion in unseen adverse weather,.

How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+ Seeing through fog without seeing fog: Deep multimodal sensor fusion in unseen adverse weather,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:27:56.112682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 10935d2d-7954-4dff-b138-3ae371641cbb · outbound

This paper cites Boreas: A multi-season autonomous driving dataset,.

How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+ Boreas: A multi-season autonomous driving dataset,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:27:56.101162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 538c1ee2-644d-4ac4-aed3-d229759be33c · outbound

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

How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+ De-noising of lidar point clouds corrupted by snowfall,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:27:56.090461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7703e3de-d0e4-41eb-969a-0193c5223000 · outbound

This paper cites V oxelNeXt: Fully sparse V oxelNet for 3D object detection and tracking,.

How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+ V oxelNeXt: Fully sparse V oxelNet for 3D object detection and tracking,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:27:56.079047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 85c47212-ebcd-436a-928b-2abd01065367 · outbound

This paper cites Ithaca365: Dataset and driving perception under repeated and challenging weather conditions,.

How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+ Ithaca365: Dataset and driving perception under repeated and challenging weather conditions,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:27:56.065034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dea41a44-10cd-4daf-92ee-ef6f34f478c8 · outbound

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

How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+ Vision meets robotics: The KITTI dataset,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T19:27:55.667252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb370d14-a8d6-4c21-b741-6d79e9f0ea80 · outbound

This paper cites LiDAR snowfall simulation for robust 3D object detection,.

How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+ LiDAR snowfall simulation for robust 3D object detection,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:27:56.047977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1d187e0f-6428-4037-87ab-627d94d6a604 · outbound

This paper cites CNN-Based lidar point cloud de-noising in adverse weather,.

How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+ CNN-Based lidar point cloud de-noising in adverse weather,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:27:56.037709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9db78cb6-34f6-45e4-ba52-0ce72fd34a48 · outbound

This paper cites Testing and validation of automotive point-cloud sensors in adverse weather conditions,.

How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+ Testing and validation of automotive point-cloud sensors in adverse weather conditions,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:27:56.025880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4043e4cf-dc38-4ddb-8b9f-1a35fbfc494a · outbound

This paper cites Lidar Light Scattering Augmentation (LISA): Physics-based Simulation of Adverse Weather Conditions for 3D Object Detection.

How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+ Lidar Light Scattering Augmentation (LISA): Physics-based Simulation of Adverse Weather Conditions for 3D Object Detection

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T19:27:55.682639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69c55d2d-9365-410f-980c-5dc804c244d3 · outbound

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

How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+ DSOR: A Scalable Statistical Filter for Removing Falling Snow from LiDAR Point Clouds in Severe Winter Weather

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T19:27:55.687494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0c5ea11-0654-48b0-9399-a232e9b6cea0 · outbound

This paper cites Winter adverse driving dataset (W ADS): year three,.

How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+ Winter adverse driving dataset (W ADS): year three,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:27:56.013871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 01c29f91-9d53-4b4b-9037-4da9fe0b85cd · outbound

This paper cites Benchmarking automotive LiDAR performance in arctic conditions,.

How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+ Benchmarking automotive LiDAR performance in arctic conditions,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:27:56.002933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 17d93399-ecb0-4bdc-be36-360eaba9e155 · outbound

This paper cites De-snowing lidar point clouds with intensity and spatial-temporal features,.

How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+ De-snowing lidar point clouds with intensity and spatial-temporal features,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:27:55.991985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f407b07d-2d80-4678-bd84-bd537cebf79e · outbound

This paper cites GROUNDED: The localizing ground penetrating radar evaluation dataset.

How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+ GROUNDED: The localizing ground penetrating radar evaluation dataset

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:27:55.980101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bc4e2bc7-6c2e-4cb2-be61-fccc805489e8 · outbound

This paper cites Fast and accurate desnowing algorithm for LiDAR point clouds,.

How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+ Fast and accurate desnowing algorithm for LiDAR point clouds,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:27:55.969217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5321d895-1ee2-4676-b727-9b837481991c · outbound

This paper cites Boosting LiDAR-based semantic label- ing by cross-modal training data generation,.

How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+ Boosting LiDAR-based semantic label- ing by cross-modal training data generation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:27:55.958937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d5319c35-6330-4e60-9ab1-8a17d6e7e3bb · outbound

This paper cites Canadian adverse driving conditions dataset,.

How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+ Canadian adverse driving conditions dataset,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:27:55.948772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a16771ca-cbe0-463e-955c-2e7605e48dd5 · outbound

This paper cites Influences of weather phenomena on automotive laser radar systems,.

How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+ Influences of weather phenomena on automotive laser radar systems,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:27:55.937814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 302ce923-b0e5-472b-b30d-068626c367d1 · outbound

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

How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+ 4DenoiseNet: Adverse weather denoising from adjacent point clouds,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:27:55.926804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 03ee740f-c3f6-40f3-b594-5150fde53305 · outbound

This paper cites Scalability in perception for au- tonomous driving: Waymo Open Dataset,.

How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+ Scalability in perception for au- tonomous driving: Waymo Open Dataset,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:27:55.915963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a02962ac-0a84-4607-bd89-f3b406040620 · outbound

This paper cites 3D object detection with track-based auto-labelling using very sparsely labelled data,.

How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+ 3D object detection with track-based auto-labelling using very sparsely labelled data,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:27:55.905468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ccdff437-d003-41a1-909f-c52d710df497 · outbound

This paper cites Simulating realistic rain, snow, and fog variations for comprehensive performance characterization of LiDAR perception,.

How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+ Simulating realistic rain, snow, and fog variations for comprehensive performance characterization of LiDAR perception,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:27:55.894105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 62b7a758-e88b-4d3e-b870-c2b5df4b50bd · outbound

This paper cites Snow removal for LiDAR point clouds with spatio-temporal conditional random fields,.

How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+ Snow removal for LiDAR point clouds with spatio-temporal conditional random fields,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:27:55.880558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 164f4968-5805-41ec-912b-f73eea422e00 · outbound

This paper cites A scalable and accurate de-snowing algorithm for LiDAR point clouds in winter,.

How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+ A scalable and accurate de-snowing algorithm for LiDAR point clouds in winter,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:27:55.866554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ad75f629-a67c-4eed-9c4e-27297b3775b4 · outbound

This paper cites Denoising framework based on multiframe continuous point clouds for autonomous driving LiDAR in snowy weather,.

How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+ Denoising framework based on multiframe continuous point clouds for autonomous driving LiDAR in snowy weather,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:27:55.852879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3da8c0cb-c27d-4018-b52e-52197ff2682e · outbound

This paper cites LiSnowNet: Real-time snow removal for LiDAR point clouds,.

How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+ LiSnowNet: Real-time snow removal for LiDAR point clouds,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:27:55.839169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4523c037-35fe-4304-aff3-77cfc46d792b · outbound

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

How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+ Perception and sensing for autonomous vehicles under adverse weather conditions: A survey,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:27:55.825918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.