Paper Citation Record · LEDGER

Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry

As of 10 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2506.18580.

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

pith.paper-citation-record.v1
2506.18580 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:21:18.286581Z

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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T21:31:29.161223Z

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 fuzzy22
unresolved7
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d0e07571-1bac-4fce-8852-41fbcef317da · outbound

This paper cites Millimeter-wave technology for automotive radar sensors in the 77 ghz frequency band,.

Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry Millimeter-wave technology for automotive radar sensors in the 77 ghz frequency band,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:24.374820Z

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 69228b24-abf1-4f49-bd70-91a16de89b04 · outbound

This paper cites Degradation resilient lidar- radar-inertial odometry,.

Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry Degradation resilient lidar- radar-inertial odometry,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:24.117462Z

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 1e7dd6d4-b3f6-46d6-98e1-a65dcbb97e37 · outbound

This paper cites Radar-inertial odometry for closed-loop control of resource-constrained aerial plat- forms,.

Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry Radar-inertial odometry for closed-loop control of resource-constrained aerial plat- forms,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:16.554826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90f4005d-8dbf-4469-9f22-f84dbbf89d70 · outbound

This paper cites A new wave in robotics: Survey on recent mmwave radar applications in robotics,.

Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry A new wave in robotics: Survey on recent mmwave radar applications in robotics,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:16.588573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfe3641b-2e4e-416f-aaac-1b70c2bc85f4 · outbound

This paper cites A novel radar point cloud gen- eration method for robot environment perception,.

Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry A novel radar point cloud gen- eration method for robot environment perception,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:23.814582Z

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 084450de-65ea-4681-b073-f3e777855a88 · outbound

This paper cites Radar inertial odometry with online calibration,.

Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry Radar inertial odometry with online calibration,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:23.598378Z

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 28972607-e0a2-455c-ad02-25a0bfa30ec9 · outbound

This paper cites An ekf based approach to radar inertial odometry,.

Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry An ekf based approach to radar inertial odometry,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:23.316101Z

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 c06a1f9f-4d29-46d6-bb7e-7519fe9c1014 · outbound

This paper cites Yaw aided radar inertial odometry using manhattan world assumptions,.

Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry Yaw aided radar inertial odometry using manhattan world assumptions,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:23.083925Z

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 2730cb68-9539-47f7-9c04-27eb5d3eb55b · outbound

This paper cites Radar-inertial ego-velocity estimation for visually degraded environments,.

Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry Radar-inertial ego-velocity estimation for visually degraded environments,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:22.680422Z

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 c4a85b27-9bec-4d40-a141-3f337f7fca70 · outbound

This paper cites EKF-Based Radar-Inertial Odometry with Online Temporal Calibration.

Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry EKF-Based Radar-Inertial Odometry with Online Temporal Calibration

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:21:18.844822Z

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 62031528-6912-4de2-9189-00541cf70386 · outbound

This paper cites 3d ego-motion estimation using low-cost mmwave radars via radar velocity factor for pose-graph slam,.

Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry 3d ego-motion estimation using low-cost mmwave radars via radar velocity factor for pose-graph slam,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:22.275764Z

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 0d160b4b-fd07-4a1a-98fc-2d0365218736 · outbound

This paper cites Multi-state tightly-coupled ekf-based radar-inertial odometry with persistent land- marks,.

Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry Multi-state tightly-coupled ekf-based radar-inertial odometry with persistent land- marks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:22.038791Z

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 1109b346-bf25-486a-b9da-c00a95745ba5 · outbound

This paper cites Tightly-coupled ekf-based radar-inertial odometry,.

Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry Tightly-coupled ekf-based radar-inertial odometry,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:21.864746Z

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 0f1e1eb9-e86c-43c1-a43d-b764dd765267 · outbound

This paper cites Milli-rio: Ego-motion estimation with low-cost millimetre-wave radar,.

Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry Milli-rio: Ego-motion estimation with low-cost millimetre-wave radar,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:21.564746Z

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 93dfe4d0-40df-4fe7-8004-adbe77a2bc92 · outbound

This paper cites Less is more: Physical-enhanced radar-inertial odometry,.

Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry Less is more: Physical-enhanced radar-inertial odometry,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:21.264956Z

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 36c0ac01-6921-4a2d-b549-d5b2a7514fc5 · outbound

This paper cites 4d iriom: 4d imaging radar inertial odometry and mapping,.

Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry 4d iriom: 4d imaging radar inertial odometry and mapping,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:20.789937Z

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 369f5ab5-038e-4098-bb25-95430ee75722 · outbound

This paper cites Precise ego-motion estimation with millimeter-wave radar under diverse and challenging conditions,.

Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry Precise ego-motion estimation with millimeter-wave radar under diverse and challenging conditions,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:17.154741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad5bc6b6-9e69-4b09-8069-42f8bceb8fbd · outbound

This paper cites Under the radar: Learning to predict robust keypoints for odometry estimation and metric localisation in radar,.

Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry Under the radar: Learning to predict robust keypoints for odometry estimation and metric localisation in radar,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:20.316266Z

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 a57de56a-86f9-4575-a9f3-8fc28adf008d · outbound

This paper cites Radar Odometry Combining Probabilistic Estimation and Unsupervised Feature Learning.

Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry Radar Odometry Combining Probabilistic Estimation and Unsupervised Feature Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:17.244843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6aa7308b-4b16-4494-960c-2202c2793ed0 · outbound

This paper cites Ardea—an mav with skills for future planetary missions,.

Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry Ardea—an mav with skills for future planetary missions,

Reference 20

Resolution: verified exact; doi, observed 2026-08-06T23:21:18.532386Z

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 039af68f-951a-4d49-afdd-b4aa58d62951 · outbound

This paper cites Tightly-coupled factor graph formulation for radar-inertial odometry,.

Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry Tightly-coupled factor graph formulation for radar-inertial odometry,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:20.058618Z

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 2ba10be4-ae52-4515-a94d-088e6ff314ed · outbound

This paper cites Deep radar detector,.

Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry Deep radar detector,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:19.924751Z

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 9cebc537-ed08-4ef5-bc08-9ca492b233be · outbound

This paper cites Ghost target detection in 3d radar data using point cloud based deep neural network,.

Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry Ghost target detection in 3d radar data using point cloud based deep neural network,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:19.776316Z

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 8df6d2a4-c238-4743-ab3e-e345e73534dc · outbound

This paper cites Pct: Point cloud transformer,.

Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry Pct: Point cloud transformer,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:17.544741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 524ec00a-4ca8-4bf4-955e-4cb288a01c63 · outbound

This paper cites Deep closest point: Learning representa- tions for point cloud registration,.

Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry Deep closest point: Learning representa- tions for point cloud registration,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:19.615751Z

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 6720afb3-ee3d-46ff-a39f-c7edf38a4ace · outbound

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

Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:19.474826Z

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 d26aabcf-3c03-4543-b9b3-0fcead26b04c · outbound

This paper cites Attention is all you need,.

Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry Attention is all you need,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:17.664764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 359e4fe9-dbdd-4418-88fd-5f63c2d60b63 · outbound

This paper cites Coloradar: The direct 3d millimeter wave radar dataset,.

Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry Coloradar: The direct 3d millimeter wave radar dataset,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:17.764750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e09c7002-4825-4408-bb6f-d334bab2b83e · outbound

This paper cites Incorporating point uncertainty in radar slam,.

Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry Incorporating point uncertainty in radar slam,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:19.274810Z

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 53e9fd5a-f435-48b4-a3fd-ba0a6c45315b · outbound

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

Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry Do we need scan-matching in radar odometry?

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:19.121630Z

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 95312fbb-ed4b-4776-98bd-8d96c5a672b7 · outbound

This paper cites Algorithms for the assignment and transportation prob- lems,.

Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry Algorithms for the assignment and transportation prob- lems,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:19.004742Z

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

Observation 96c936b7-3bf5-43bb-b5a4-b9721c6546f4 · inbound

H-RINS: Hierarchical Tightly-coupled Radar-Inertial State Estimation via Smoothing and Mapping cites this paper.

H-RINS: Hierarchical Tightly-coupled Radar-Inertial State Estimation via Smoothing and Mapping Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-14T21:31:29.161223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.