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Paper Citation Record · LEDGER

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions

As of 18 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2509.02011.

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

pith.paper-citation-record.v1
2509.02011 v1

Coverage vector

measured 42 of 42 reference resolution

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measured 42 of 42 standing notices

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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

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Source: cited_works

Reference resolution

42 of 42 outbound references displayed

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External citation measurements

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Outbound references

Observation 7f6f980b-61f8-4676-a3ac-30d6fb4e25ea · outbound

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

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Vision meets robotics: The kitti dataset,

Reference 1

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Observation d06bda9d-a06b-40e6-9c6a-693f96b84753 · outbound

This paper cites Loam: Lidar odometry and mapping in real- time,.

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Loam: Lidar odometry and mapping in real- time,

Reference 2

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Observation 1567906d-95c9-424d-ba36-beaa54a132e5 · outbound

This paper cites Deepdriving: Learning affordance for direct perception in autonomous driving,.

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Deepdriving: Learning affordance for direct perception in autonomous driving,

Reference 3

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Observation 4462803b-54fe-4a57-8b14-6162ce9f9654 · outbound

This paper cites The impact of adverse weather conditions on autonomous vehicles: How rain, snow, fog, and hail affect the performance of a self-driving car,.

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions The impact of adverse weather conditions on autonomous vehicles: How rain, snow, fog, and hail affect the performance of a self-driving car,

Reference 4

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Observation 8e7181e8-7588-43f3-a47b-a5ef8ce03446 · outbound

This paper cites Statistical outlier detection method for airborne lidar data,.

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Statistical outlier detection method for airborne lidar data,

Reference 5

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Observation b965007e-4219-47c6-84ec-c23c9f3fc08e · outbound

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

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions De-noising of lidar point clouds corrupted by snowfall,

Reference 6

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Observation 2dbec7f6-3e00-40c1-85a0-15c1f946303a · outbound

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

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions DSOR: A Scalable Statistical Filter for Removing Falling Snow from LiDAR Point Clouds in Severe Winter Weather

Reference 7

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Observation 7cd7588b-02ba-4983-a839-eae5f3a40c06 · outbound

This paper cites Dior: A hardware- assisted weather denoising solution for lidar point clouds,.

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Dior: A hardware- assisted weather denoising solution for lidar point clouds,

Reference 8

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Observation 86720515-f3f4-4ecf-9f47-3d7cdbdc2ae1 · outbound

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

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Cnn-based lidar point cloud de-noising in adverse weather,

Reference 9

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Observation f4dfb622-dea8-4f70-b2a9-4b080dff60be · outbound

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

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions 4denoisenet: Adverse weather denoising from adjacent point clouds,

Reference 10

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Observation f0f7897a-60a3-417c-ad6a-2d1466c0dd4c · outbound

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

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Lisnownet: Real- time snow removal for lidar point clouds,

Reference 11

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Observation ebeaed4d-ca5f-4b4f-a56f-802f485aed8e · outbound

This paper cites Cnn for imu assisted odometry estimation using velodyne lidar,.

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Cnn for imu assisted odometry estimation using velodyne lidar,

Reference 12

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Observation 6c7f9330-4048-4561-bcd5-56285757c218 · outbound

This paper cites Lo- net: Deep real-time lidar odometry,.

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Lo- net: Deep real-time lidar odometry,

Reference 13

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Observation 70a5a65b-4795-4173-bd80-034e31a811df · outbound

This paper cites Deeppco: End-to-end point cloud odom- etry through deep parallel neural network,.

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Deeppco: End-to-end point cloud odom- etry through deep parallel neural network,

Reference 14

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Observation ce064efe-ccca-4fea-879f-82d4e7e1fc17 · outbound

This paper cites Translo: A window-based masked point transformer framework for large-scale lidar odometry,.

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Translo: A window-based masked point transformer framework for large-scale lidar odometry,

Reference 15

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Observation 33826a0f-8c0d-4d24-94d3-2dcd2445068a · outbound

This paper cites Pwclo-net: Deep lidar odometry in 3d point clouds using hierarchical embedding mask optimization,.

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Pwclo-net: Deep lidar odometry in 3d point clouds using hierarchical embedding mask optimization,

Reference 16

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Observation d7753556-dcbb-49f1-a2b7-b259558f1502 · outbound

This paper cites Efficient 3d deep lidar odometry,.

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Efficient 3d deep lidar odometry,

Reference 17

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Observation c1a449e9-775a-4f40-8f3c-c998ac1ef8d3 · outbound

This paper cites Delo: Deep evidential lidar odometry using partial optimal transport,.

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Delo: Deep evidential lidar odometry using partial optimal transport,

Reference 18

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Observation 091b0633-85da-4403-a143-07f6d5782a26 · outbound

This paper cites Unsupervised geometry-aware deep lidar odometry,.

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Unsupervised geometry-aware deep lidar odometry,

Reference 19

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Observation 7aba70bd-1be2-487f-9f8d-64ab8e709e68 · outbound

This paper cites Linear least-squares optimization for point-to-plane icp surface registration,.

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Linear least-squares optimization for point-to-plane icp surface registration,

Reference 20

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Observation c677540e-dac4-4a8f-833c-bd9698ae4955 · outbound

This paper cites Selfvoxelo: Self-supervised lidar odometry with voxel-based deep neural networks,.

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Selfvoxelo: Self-supervised lidar odometry with voxel-based deep neural networks,

Reference 21

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Observation cc7a59ec-328e-48ed-948c-e140788f8d97 · outbound

This paper cites Hpplo-net: Unsupervised lidar odometry using a hierarchical point-to-plane solver,.

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Hpplo-net: Unsupervised lidar odometry using a hierarchical point-to-plane solver,

Reference 22

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Observation 126f55c9-718b-4a17-b424-9a788aa64ef4 · outbound

This paper cites A 3d lidar odometry for ugvs using coarse-to-fine deep scene flow estimation,.

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions A 3d lidar odometry for ugvs using coarse-to-fine deep scene flow estimation,

Reference 23

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Observation 242958ca-b212-400f-a1a0-74003e3fddde · outbound

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

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Fast and accurate desnowing algorithm for lidar point clouds,

Reference 24

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Observation f1a8bd1e-8fe8-4292-b793-9c906b6e81e6 · outbound

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

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions A scalable and accurate de-snowing algorithm for lidar point clouds in winter,

Reference 25

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Observation 77f16575-89fe-4d4b-9128-00d71c66a5dc · outbound

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

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 26

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Observation 0b3adc85-02d6-4021-8fae-54ef7e427251 · outbound

This paper cites Pointcleannet: Learning to denoise and remove outliers from dense point clouds,.

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Pointcleannet: Learning to denoise and remove outliers from dense point clouds,

Reference 27

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Observation e6068aae-be4c-4e8b-8226-364efdb7e2ed · outbound

This paper cites Slide: Self-supervised lidar de-snowing through reconstruction difficulty,.

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Slide: Self-supervised lidar de-snowing through reconstruction difficulty,

Reference 28

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Source-reported events for the cited work

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Observation c9ba72f6-e05a-4c54-950b-555b31fe8e44 · outbound

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

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 29

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Source-reported events for the cited work

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

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Observation 880e9e08-400e-423e-be49-d55db5662b2a · outbound

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

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Pointconv: Deep convolutional networks on 3d point clouds,

Reference 30

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Source-reported events for the cited work

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

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Observation a9180785-e439-4d62-816e-b7786b300775 · outbound

This paper cites Detecting the Anomalies in LiDAR Pointcloud.

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Detecting the Anomalies in LiDAR Pointcloud

Reference 31

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Source-reported events for the cited work

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Observation 0bef0992-e43c-41df-838b-eb5408142766 · outbound

This paper cites Notes on continuous stochastic phenomena,.

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Notes on continuous stochastic phenomena,

Reference 32

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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.

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Observation 885d071c-4d93-42eb-9dc6-1983ab2e4682 · outbound

This paper cites Beyond moran’s i: testing for spatial dependence based on the spatial autoregressive model,.

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Beyond moran’s i: testing for spatial dependence based on the spatial autoregressive model,

Reference 33

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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.

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Observation 63dcbf1c-75cd-4e8a-ba8a-07d00f50f1f6 · outbound

This paper cites Pointpwc-net: Cost volume on point clouds for (self-) supervised scene flow estimation,.

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Pointpwc-net: Cost volume on point clouds for (self-) supervised scene flow estimation,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:04:27.784778Z

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.

source=pdf_text observed=2026-08-05T12:04:27.537234Z digest=sha256:a11706ef53a6d402cc6f6836710aaf88c887bf3df26c5ed19e8f5b1ddb47b0a4

Observation 1c4e6ff3-0fab-4e1a-bddf-6ece37147c9b · outbound

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

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Are we ready for autonomous driv- ing? the kitti vision benchmark suite,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:04:27.768439Z

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.

source=pdf_text observed=2026-08-05T12:04:27.541415Z digest=sha256:375758e7fc3b6fa37ee7582ecb438c781f0ace819a8461c4408cfacdd9d9ad6a

Observation 5ad59f7c-cff2-497d-a691-63bdc6c4ebdf · outbound

This paper cites Advanced implementation of loam,.

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Advanced implementation of loam,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:04:27.752167Z

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.

source=pdf_text observed=2026-08-05T12:04:27.546052Z digest=sha256:f91a5f621ec90aec2a94456bf6d39646a62af76dda48010ea5ff616a8c4f64e3

Observation 77217962-0ef2-4501-bf58-01c9d46c99ef · outbound

This paper cites Pyicp slam.

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Pyicp slam

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:04:27.736031Z

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.

source=pdf_text observed=2026-08-05T12:04:27.550131Z digest=sha256:f6d6109cb60d5e41a7305d7f413a11f5f73c969a57e85184c997821a48158359

Observation dc5ad7ec-bd85-4022-8f73-28933966b3b4 · outbound

This paper cites V oxelized gicp for fast and accurate 3d point cloud registration,.

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions V oxelized gicp for fast and accurate 3d point cloud registration,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:04:27.714290Z

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.

source=pdf_text observed=2026-08-05T12:04:27.554218Z digest=sha256:ee2d83714a140ed0f8f0027fd530f22e98acd223791746b69583ab2ef7916b21

Observation b3e77075-1af1-4d91-9fc6-3d3d556112be · outbound

This paper cites Collar line segments for fast odometry estimation from velodyne point clouds,.

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Collar line segments for fast odometry estimation from velodyne point clouds,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:04:27.699302Z

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.

source=pdf_text observed=2026-08-05T12:04:27.558153Z digest=sha256:2b69ccb1ef8e9710ebad27d68b4434509408f892d67c3ecd299e35047b51b9a0

Observation 594245f4-e324-4ebc-bf29-327ac239dc57 · outbound

This paper cites Delo: Deep evidential lidar odometry using partial optimal transport,.

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Delo: Deep evidential lidar odometry using partial optimal transport,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:04:27.683517Z

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.

source=pdf_text observed=2026-08-05T12:04:27.562473Z digest=sha256:98dde189add2e72328d5f52a29dec90c050f447f51b62804dae9dd6d33cf09b5

Observation 4ba94795-5b84-41e1-9f23-5fbcd077aa21 · outbound

This paper cites Self-supervised learning of lidar odometry for robotic applications,.

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Self-supervised learning of lidar odometry for robotic applications,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:04:27.667414Z

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.

source=pdf_text observed=2026-08-05T12:04:27.566396Z digest=sha256:6a0d37322385d9fa64b8d58143b7df6c5046374f5a8c870d1debff6a8e309ed2

Observation 3241b4cd-057f-48fa-8826-f4a30817c9af · outbound

This paper cites Robust self- supervised lidar odometry via representative structure discovery and 3d inherent error modeling,.

Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions Robust self- supervised lidar odometry via representative structure discovery and 3d inherent error modeling,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:04:27.651606Z

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.

source=pdf_text observed=2026-08-05T12:04:27.570623Z digest=sha256:6c30aac68918dc3387b32a294769690bce931cd039c09ed096a43d36d858391d

Pith citing papers

No inbound Pith citation observations are available.