Paper Citation Record · LEDGER

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process

As of 9 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2502.08093.

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

pith.paper-citation-record.v1
2502.08093 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T10:55:20.514264Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

32 of 32 outbound references displayed

verified exact0
verified fuzzy31
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation efc60f1d-c16c-4cb7-8c16-343838086003 · outbound

This paper cites A New Wave in Robotics: Survey on Recent mmWave Radar Applications in Robotics,.

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process A New Wave in Robotics: Survey on Recent mmWave Radar Applications in Robotics,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:55:20.878210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0639f348-2d65-41b0-87a5-be8ecf26f32a · outbound

This paper cites Radar Odometry for Autonomous Ground Vehicles: A Survey of Methods and Datasets,.

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process Radar Odometry for Autonomous Ground Vehicles: A Survey of Methods and Datasets,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:55:20.867464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 18e73ff3-9e69-4870-9c3a-d798b4263368 · outbound

This paper cites Evaluation of Navigation Sen- sors in Fire Smoke Environments,.

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process Evaluation of Navigation Sen- sors in Fire Smoke Environments,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:55:20.856371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2376ada9-777b-4ec3-b9ee-810f9cea62a1 · outbound

This paper cites A Benchmark for Lidar Sensors in Fog: Is Detection Breaking Down?.

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process A Benchmark for Lidar Sensors in Fog: Is Detection Breaking Down?

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:55:20.845509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 042c6b6b-b447-48a2-a22b-028974499056 · outbound

This paper cites Radar-inertial state estimation and obstacle detection for micro-aerial vehicles in dense fog,.

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process Radar-inertial state estimation and obstacle detection for micro-aerial vehicles in dense fog,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:55:20.834874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a4cbaf23-2488-49cb-b193-dc0cfac541be · outbound

This paper cites Degradation Resilient LiDAR-Radar-Inertial Odometry.

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process Degradation Resilient LiDAR-Radar-Inertial Odometry

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T10:55:20.417882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 191c0e8c-5cdf-44fa-8085-f47e6b51b064 · outbound

This paper cites Lidar-Level Localization With Radar? The CFEAR Approach to Accurate, Fast, and Robust Large- Scale Radar Odometry in Diverse Environments,.

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process Lidar-Level Localization With Radar? The CFEAR Approach to Accurate, Fast, and Robust Large- Scale Radar Odometry in Diverse Environments,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:55:20.824361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 579fb46c-b108-4c62-9501-df10ad8d7dac · outbound

This paper cites LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain,.

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:55:20.813690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0378d093-2988-4cf4-8f2b-55dcd1c59269 · outbound

This paper cites MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square,.

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:55:20.803424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f8dbf063-f195-45c6-9b68-fb9b8ff62f4b · outbound

This paper cites Efficient LiDAR odometry for Au- tonomous Driving,.

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process Efficient LiDAR odometry for Au- tonomous Driving,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:55:20.793395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f3a06237-1ce5-4cde-9dd6-e9fbbcda8e85 · outbound

This paper cites Low-Drift Odometry, Mapping and Ground Segmentation Using a Backpack LiDAR System,.

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process Low-Drift Odometry, Mapping and Ground Segmentation Using a Backpack LiDAR System,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:55:20.783143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8d7c9eea-7714-4f2f-aad8-66adf03b4889 · outbound

This paper cites GCLO: Ground Constrained LiDAR Odometry with Low-drifts for GPS- denied Indoor Environments,.

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process GCLO: Ground Constrained LiDAR Odometry with Low-drifts for GPS- denied Indoor Environments,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:55:20.773153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 24242a37-3254-4c7b-a029-f76ebe211a4f · outbound

This paper cites GND-LO: Ground Decoupled 3D Lidar Odometry Based on Planar Patches,.

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process GND-LO: Ground Decoupled 3D Lidar Odometry Based on Planar Patches,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:55:20.762955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e717b56f-2b7a-4815-aa66-441eff0f03ce · outbound

This paper cites 4D Radar-Based Pose Graph SLAM With Ego-Velocity Pre-Integration Factor,.

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process 4D Radar-Based Pose Graph SLAM With Ego-Velocity Pre-Integration Factor,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:55:20.752831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 06288610-5477-4f37-8390-ad834f0b1bc8 · outbound

This paper cites DRIO: Robust Radar- Inertial Odometry in Dynamic Environments,.

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process DRIO: Robust Radar- Inertial Odometry in Dynamic Environments,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:55:20.742913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 525eb770-488b-4574-b57e-9384e0dc403c · outbound

This paper cites Instantaneous ego-motion estimation using Doppler radar,.

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process Instantaneous ego-motion estimation using Doppler radar,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:55:20.732424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 927ea528-b8e0-4d2b-95ca-5b0dc6a91cae · outbound

This paper cites Radar-Inertial Ego-Velocity Estimation for Visually Degraded Environments,.

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process Radar-Inertial Ego-Velocity Estimation for Visually Degraded Environments,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:55:20.721781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1734b968-5b57-449b-8695-d9a0a7c4a72e · outbound

This paper cites A Credible and Robust Approach to Ego-Motion Estimation Using an Automotive Radar,.

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process A Credible and Robust Approach to Ego-Motion Estimation Using an Automotive Radar,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:55:20.711141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7fa29427-53b6-46f5-8292-4b86ff2b1e27 · outbound

This paper cites Radar inertial odometry with on- line calibration,.

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process Radar inertial odometry with on- line calibration,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:55:20.701151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e7d09b2c-7bf1-486f-ba92-0dc82a6d03b3 · outbound

This paper cites 3D ego- Motion Estimation Using low-Cost mmWave Radars via Radar Velocity Factor for Pose-Graph SLAM,.

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process 3D ego- Motion Estimation Using low-Cost mmWave Radars via Radar Velocity Factor for Pose-Graph SLAM,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:55:20.691141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8a1cbd59-b03c-48e4-a8c7-d42965dfb4a3 · outbound

This paper cites Tightly-Coupled EKF- Based Radar-Inertial Odometry,.

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process Tightly-Coupled EKF- Based Radar-Inertial Odometry,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:55:20.680840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ecdf00cd-6afd-4559-8d6b-532fefaa98cc · outbound

This paper cites 4D iRIOM: 4D Imaging Radar Inertial Odometry and Mapping,.

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process 4D iRIOM: 4D Imaging Radar Inertial Odometry and Mapping,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:55:20.670837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 28225604-ee1a-46e1-9a9c-6ac98c683932 · outbound

This paper cites DeRO: Dead Reckoning Based on Radar Odometry With Accelerometers Aided for Robot Localization,.

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process DeRO: Dead Reckoning Based on Radar Odometry With Accelerometers Aided for Robot Localization,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:55:20.660205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8fcad008-1255-4762-a463-78a7a7498c1c · outbound

This paper cites Continuous Integration over SO (3) for IMU Preintegration,.

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process Continuous Integration over SO (3) for IMU Preintegration,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:55:20.649047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation de8aaca8-0920-40a0-8258-34df334d1238 · outbound

This paper cites Continuous-time Radar-inertial Odometry for Automotive Radars,.

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process Continuous-time Radar-inertial Odometry for Automotive Radars,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:55:20.637782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1a61b802-7797-4b75-85a0-fe189b7380d1 · outbound

This paper cites Patchwork++: Fast and Robust Ground Segmentation Solving Partial Under- Segmentation Using 3D Point Cloud,.

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process Patchwork++: Fast and Robust Ground Segmentation Solving Partial Under- Segmentation Using 3D Point Cloud,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:55:20.627033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d794fedf-161b-4560-977f-574fc8405b53 · outbound

This paper cites G2o: A general framework for graph optimiza- tion,.

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process G2o: A general framework for graph optimiza- tion,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:55:20.614857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8484c673-04f7-4c09-9faa-e3c37070caab · outbound

This paper cites NTU4DRadLM: 4D Radar-Centric Multi-Modal Dataset for Localization and Mapping,.

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process NTU4DRadLM: 4D Radar-Centric Multi-Modal Dataset for Localization and Mapping,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:55:20.603390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 321279a7-422c-4915-a2c5-1fb11788393e · outbound

This paper cites MSC-RAD4R: ROS-Based Automotive Dataset With 4D Radar,.

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process MSC-RAD4R: ROS-Based Automotive Dataset With 4D Radar,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:55:20.592570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 99e7c81f-3303-432f-a718-0e926a162f15 · outbound

This paper cites 4DRadarSLAM: A 4D Imaging Radar SLAM System for Large-scale Environments based on Pose Graph Optimization,.

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process 4DRadarSLAM: A 4D Imaging Radar SLAM System for Large-scale Environments based on Pose Graph Optimization,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:55:20.581386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d96d3156-d3d9-481a-9751-edf890bed658 · outbound

This paper cites Evo: Python package for the evaluation of odom- etry and slam,.

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process Evo: Python package for the evaluation of odom- etry and slam,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:55:20.570008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 570342d4-fced-49e4-a77b-bd335231942b · outbound

This paper cites Do we need scan- matching in radar odometry?.

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process Do we need scan- matching in radar odometry?

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:55:20.557881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.