Paper Citation Record · LEDGER

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars

As of 20 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2507.04321.

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

pith.paper-citation-record.v1
2507.04321 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:53:36.727884Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

verified exact2
verified fuzzy28
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c40b7f19-78f4-4971-8d55-8cd6d2dd7edb · outbound

This paper cites Event-based sensor fusion and application on odometry: A survey.

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars Event-based sensor fusion and application on odometry: A survey

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:44.729056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 274de81b-8dc4-48a9-b12e-bc5c2afcafcf · outbound

This paper cites Deep learning for lidar- only and lidar-fusion 3d perception: A survey.

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars Deep learning for lidar- only and lidar-fusion 3d perception: A survey

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:44.090616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 04dc5724-1c38-47d9-a4f9-51e02e92a2e4 · outbound

This paper cites Point-lio: Robust high-bandwidth light detection and ranging inertial odometry.

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars Point-lio: Robust high-bandwidth light detection and ranging inertial odometry

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:43.850219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b3920c24-c20f-49de-a90d-a88c3005b3d2 · outbound

This paper cites Loam livox: A fast, robust, high-precision lidar odometry and mapping package for lidars of small fov.

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars Loam livox: A fast, robust, high-precision lidar odometry and mapping package for lidars of small fov

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:43.502165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ce7f1c66-a76a-447a-9b80-1ea5307d55fd · outbound

This paper cites Stream-based ground segmentation for real- time lidar point cloud processing on fpga, 2024.

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars Stream-based ground segmentation for real- time lidar point cloud processing on fpga, 2024

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:43.224948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 369e998c-001b-4717-b1b9-6ade020f1053 · outbound

This paper cites Analysis of Deep Learning-Based Colorization and Super-Resolution Techniques for Lidar Imagery.

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars Analysis of Deep Learning-Based Colorization and Super-Resolution Techniques for Lidar Imagery

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:53:37.230647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 46257b80-8a74-4802-a20a-fc7c856b08bb · outbound

This paper cites Lidar- generated images derived keypoints assisted point cloud registration scheme in odometry estimation.

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars Lidar- generated images derived keypoints assisted point cloud registration scheme in odometry estimation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:42.937809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 58ac19e3-e120-40ba-9f7b-001a1c2fab19 · outbound

This paper cites Uav tracking with lidar as a camera sensor in gnss-denied environments.

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars Uav tracking with lidar as a camera sensor in gnss-denied environments

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:42.608922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 12e905e8-c1db-4479-a3d6-da31abd1afbf · outbound

This paper cites General-purpose deep learning detection and segmentation models for images from a lidar-based camera sensor.

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars General-purpose deep learning detection and segmentation models for images from a lidar-based camera sensor

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:42.276609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6c6a9d36-945e-4033-b6e2-3e09994026bc · outbound

This paper cites Solid-state-lidar- inertial-visual odometry and mapping via quadratic motion model and reflectivity information.

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars Solid-state-lidar- inertial-visual odometry and mapping via quadratic motion model and reflectivity information

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:42.031808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 77d3229f-11a3-4c54-842c-666d6dcfe2b9 · outbound

This paper cites The affordable diy mandeye lidar system for surveying caves, and how to convert 3d clouds into traditional cave ground plans and extended profiles.

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars The affordable diy mandeye lidar system for surveying caves, and how to convert 3d clouds into traditional cave ground plans and extended profiles

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:41.750931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f43233b7-a7e6-448a-8728-49f63cbf3413 · outbound

This paper cites Vision meets robotics: The kitti dataset.

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars Vision meets robotics: The kitti dataset

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:41.426427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3b54840a-64ec-43a6-a877-afe93ca66b8a · outbound

This paper cites 1 Year, 1000km: The Oxford RobotCar Dataset.

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars 1 Year, 1000km: The Oxford RobotCar Dataset

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:41.160581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3676638e-d5d0-44dd-9439-7837cae44c1b · outbound

This paper cites The apolloscape open dataset for autonomous driving and its application.

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars The apolloscape open dataset for autonomous driving and its application

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:40.847736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 36c1c74d-93b1-4ad3-a40a-0e9d97093047 · outbound

This paper cites Ouster dataset, 2020.

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars Ouster dataset, 2020

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:40.595090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fc75d4cd-785d-4950-8334-74a1d2dc919d · outbound

This paper cites Multi-Modal Lidar Dataset for Benchmarking General-Purpose Localization and Mapping Algorithms.

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars Multi-Modal Lidar Dataset for Benchmarking General-Purpose Localization and Mapping Algorithms

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:53:37.002769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3dfffe2c-2935-46e6-a1b0-9ccdff000f4b · outbound

This paper cites Livox dataset, 2020.

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars Livox dataset, 2020

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:40.320673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ccd2abc5-c72d-4af8-9b79-878d44436817 · outbound

This paper cites Heterogeneous lidar dataset for benchmarking robust localization in diverse degenerate scenarios, 2024.

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars Heterogeneous lidar dataset for benchmarking robust localization in diverse degenerate scenarios, 2024

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:40.159328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dcddda43-d5f7-40c7-9f4e-de3eab4f4f6e · outbound

This paper cites Cte-mlo: Continuous-time and efficient multi-lidar odometry with localizability- aware point cloud sampling, 2025.

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars Cte-mlo: Continuous-time and efficient multi-lidar odometry with localizability- aware point cloud sampling, 2025

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:39.885919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d0c11dda-9aa9-491d-859c-ec160f311c83 · outbound

This paper cites Besl and Neil D.

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars Besl and Neil D

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:39.675524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 89346535-3066-4692-b948-8968723fb1cf · outbound

This paper cites Chen and G.

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars Chen and G

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:39.462958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 96989982-e11d-4f00-bafc-ac4d8f11e6dc · outbound

This paper cites Iterative point matching for registration of free-form curves.

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars Iterative point matching for registration of free-form curves

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:39.294801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f0b380d0-b778-4f62-8b9f-b01d5f92b172 · outbound

This paper cites Fast-lio2: Fast direct lidar-inertial odometry, 2021.

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars Fast-lio2: Fast direct lidar-inertial odometry, 2021

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:38.992706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3caef4d5-73f0-4256-a9fe-ffc3c20d3cea · outbound

This paper cites Faster-lio: Lightweight tightly coupled lidar-inertial odometry using parallel sparse incremental voxels.

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars Faster-lio: Lightweight tightly coupled lidar-inertial odometry using parallel sparse incremental voxels

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:44.399723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9f1d9e0f-7285-43c7-9bdc-413b5f3ec790 · outbound

This paper cites A simplified implementation of fast_lio, 2023.

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars A simplified implementation of fast_lio, 2023

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:38.804481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d87bb170-5176-4efb-951f-5dd949d1ed55 · outbound

This paper cites Glim: 3d range-inertial localization and mapping with gpu-accelerated scan matching factors.

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars Glim: 3d range-inertial localization and mapping with gpu-accelerated scan matching factors

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:38.663229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6e57eb7c-3258-430e-b305-78ea089a6635 · outbound

This paper cites A slam implementation combining fast-lio2 with pose graph optimization and loop closing based on lio-sam paper, 2023.

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars A slam implementation combining fast-lio2 with pose graph optimization and loop closing based on lio-sam paper, 2023

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:38.383181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9c0f2b9a-c694-44a9-aeaa-0e5b60f2b5fa · outbound

This paper cites Kiss-icp: In defense of point-to-point icp – simple, accurate, and robust registration if done the right way.IEEE Robotics and Automation Letters , 8(2):1029–1036, February 2023.

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars Kiss-icp: In defense of point-to-point icp – simple, accurate, and robust registration if done the right way.IEEE Robotics and Automation Letters , 8(2):1029–1036, February 2023

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:38.142492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a0d94ccf-af44-47f6-aebe-ddb8f3a65988 · outbound

This paper cites Open3D: A Modern Library for 3D Data Processing.

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars Open3D: A Modern Library for 3D Data Processing

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:36.463558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24b6df73-9e42-4fe9-adf6-643eb06cf25a · outbound

This paper cites Open3d slam: Point cloud based mapping and localization for education.

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars Open3d slam: Point cloud based mapping and localization for education

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:37.847845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e339c14d-f6df-4271-aa5a-1bb61fe4817d · outbound

This paper cites Genz-icp: Generalizable and degeneracy-robust lidar odometry using an adaptive weighting.IEEE Robotics and Automation Letters , 10(1):152–159, January 2025.

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars Genz-icp: Generalizable and degeneracy-robust lidar odometry using an adaptive weighting.IEEE Robotics and Automation Letters , 10(1):152–159, January 2025

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:37.543353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.