Paper Citation Record · LEDGER

An SE(3) Noise Model for Range-Azimuth-Elevation Sensors

As of 19 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2504.19009.

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

pith.paper-citation-record.v1
2504.19009 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:09:49.660013Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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 exact1
verified fuzzy26
unresolved5
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 48bbe18c-fcf2-4e69-aa3f-c90c1da28167 · outbound

This paper cites Radar Odometry on SE(3) with Constant Acceleration Motion Prior and Polar Measurement Model.

An SE(3) Noise Model for Range-Azimuth-Elevation Sensors Radar Odometry on SE(3) with Constant Acceleration Motion Prior and Polar Measurement Model

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T10:09:49.497356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 854e788a-7411-494c-8781-e1a04a52eb22 · outbound

This paper cites Pointing the Way: Refining Radar-Lidar Localization Using Learned ICP Weights.

An SE(3) Noise Model for Range-Azimuth-Elevation Sensors Pointing the Way: Refining Radar-Lidar Localization Using Learned ICP Weights

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T10:09:49.503337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2251e432-e10e-48e1-8e49-23d554f52898 · outbound

This paper cites Incorporating Point Uncertainty in Radar SLAM.

An SE(3) Noise Model for Range-Azimuth-Elevation Sensors Incorporating Point Uncertainty in Radar SLAM

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:09:49.730299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3d82b84e-481d-4d8d-b818-0570fc5d390d · outbound

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

An SE(3) Noise Model for Range-Azimuth-Elevation Sensors LOAM: Lidar odometry and mapping in real- time,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:09:50.247885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b094ac78-9e56-4390-9fa8-2665db201397 · outbound

This paper cites Tightly coupled 3D lidar inertial odometry and mapping,.

An SE(3) Noise Model for Range-Azimuth-Elevation Sensors Tightly coupled 3D lidar inertial odometry and mapping,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:09:50.230543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4251224d-0e90-4cee-b779-7ce8cda94d43 · outbound

This paper cites 3D laser scanner for underwater manipulation,.

An SE(3) Noise Model for Range-Azimuth-Elevation Sensors 3D laser scanner for underwater manipulation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:09:50.213452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 298e7079-56dc-4b14-a654-012a86260571 · outbound

This paper cites Inspection of an underwater structure using point-cloud SLAM with an AUV and a laser scanner,.

An SE(3) Noise Model for Range-Azimuth-Elevation Sensors Inspection of an underwater structure using point-cloud SLAM with an AUV and a laser scanner,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:09:50.195372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fdffcd5d-ba0d-4e0d-a7fc-a6ce953c00f0 · outbound

This paper cites Improving self-consistency in under- water mapping through laser-based loop closure,.

An SE(3) Noise Model for Range-Azimuth-Elevation Sensors Improving self-consistency in under- water mapping through laser-based loop closure,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:09:50.179027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a626c126-d73f-45c3-a0d2-ebcbc5b88255 · outbound

This paper cites an unresolved cited work.

An SE(3) Noise Model for Range-Azimuth-Elevation Sensors Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T10:09:49.538171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49201eba-1888-4cfe-a6b0-69d9f88de47a · outbound

This paper cites Closed-form solution of absolute orientation using unit quaternions,.

An SE(3) Noise Model for Range-Azimuth-Elevation Sensors Closed-form solution of absolute orientation using unit quaternions,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:09:50.151719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 95cd16fe-1b30-4d7e-ad42-a1cdcda75f45 · outbound

This paper cites Least-squares fitting of two 3-D point sets,.

An SE(3) Noise Model for Range-Azimuth-Elevation Sensors Least-squares fitting of two 3-D point sets,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:09:50.129235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e8d9ff72-e816-4b3e-b7c1-2dc69a725182 · outbound

This paper cites Weighted optimal linear attitude and translation estimator: Theory and application,.

An SE(3) Noise Model for Range-Azimuth-Elevation Sensors Weighted optimal linear attitude and translation estimator: Theory and application,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:09:50.109647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 281bafe6-69a1-478b-9dd6-b7a598e6d8df · outbound

This paper cites Radar and stereo vision fusion for multitarget tracking on the special Euclidean group,.

An SE(3) Noise Model for Range-Azimuth-Elevation Sensors Radar and stereo vision fusion for multitarget tracking on the special Euclidean group,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:09:50.092815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1fb2c779-6c1a-4063-8d65-00f4046b2ac8 · outbound

This paper cites Gaussian approximation of non-linear measurement models on Lie groups,.

An SE(3) Noise Model for Range-Azimuth-Elevation Sensors Gaussian approximation of non-linear measurement models on Lie groups,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:09:50.076367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e8ed5db0-7667-43b7-a987-8a1d32f45cb4 · outbound

This paper cites Data association in stochastic mapping using the joint compatibility test,.

An SE(3) Noise Model for Range-Azimuth-Elevation Sensors Data association in stochastic mapping using the joint compatibility test,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:09:50.059409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cc1d50d2-4fd0-4ceb-aca6-2148618dd486 · outbound

This paper cites On the covariance of ICP- based scan-matching techniques,.

An SE(3) Noise Model for Range-Azimuth-Elevation Sensors On the covariance of ICP- based scan-matching techniques,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:09:50.043057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2d5f2b4c-7c8c-4dc7-b4d6-02af4cd8e350 · outbound

This paper cites Real-time correlative scan matching,.

An SE(3) Noise Model for Range-Azimuth-Elevation Sensors Real-time correlative scan matching,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:09:50.024445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 09ff6401-03c9-4978-9799-d07cefad1b1c · outbound

This paper cites A new approach to 3D ICP covariance estimation,.

An SE(3) Noise Model for Range-Azimuth-Elevation Sensors A new approach to 3D ICP covariance estimation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:09:50.004798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d3e3287f-083a-4259-a739-0d62e9284c39 · outbound

This paper cites Bathymetric particle filter SLAM using trajectory maps,.

An SE(3) Noise Model for Range-Azimuth-Elevation Sensors Bathymetric particle filter SLAM using trajectory maps,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:09:49.987625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation da54069b-d938-4ab1-9d06-21f7da6a49d0 · outbound

This paper cites Bayesian attitude estimation with the matrix Fisher distri- bution on SO(3),.

An SE(3) Noise Model for Range-Azimuth-Elevation Sensors Bayesian attitude estimation with the matrix Fisher distri- bution on SO(3),

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:09:49.970742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6a6c3f7c-cee2-41df-9dfe-50919b981bca · outbound

This paper cites Matrix Fisher–Gaussian distribution on SO(3) × Rn and Bayesian attitude estimation,.

An SE(3) Noise Model for Range-Azimuth-Elevation Sensors Matrix Fisher–Gaussian distribution on SO(3) × Rn and Bayesian attitude estimation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:09:49.956207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 62f7353e-08c7-4862-8661-28e92475f8cd · outbound

This paper cites A micro Lie theory for state estimation in robotics.

An SE(3) Noise Model for Range-Azimuth-Elevation Sensors A micro Lie theory for state estimation in robotics

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T10:09:49.601039Z

Source-reported events for the cited work

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Observation 691668a5-0155-4d76-98d0-b3e6f407b5d9 · outbound

This paper cites Characterizing the uncertainty of jointly distributed poses in the Lie algebra,.

An SE(3) Noise Model for Range-Azimuth-Elevation Sensors Characterizing the uncertainty of jointly distributed poses in the Lie algebra,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:09:49.941974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 55c24940-65c9-4d9d-8ff2-605210d530fa · outbound

This paper cites an unresolved cited work.

An SE(3) Noise Model for Range-Azimuth-Elevation Sensors Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:09:49.926893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4be9751b-7fd1-4d87-897e-6937809d42dd · outbound

This paper cites The normal distributions transform: A new approach to laser scan matching,.

An SE(3) Noise Model for Range-Azimuth-Elevation Sensors The normal distributions transform: A new approach to laser scan matching,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:09:49.910460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation be0cfcd3-2728-49f2-975d-c392799b53d3 · outbound

This paper cites An accurate closed-form estimate of ICP’s covariance,.

An SE(3) Noise Model for Range-Azimuth-Elevation Sensors An accurate closed-form estimate of ICP’s covariance,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:09:49.894517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f4ea8ea7-f6b6-4e2d-ae35-913dbaae3946 · outbound

This paper cites Observability- aware intrinsic and extrinsic calibration of LiDAR-IMU systems,.

An SE(3) Noise Model for Range-Azimuth-Elevation Sensors Observability- aware intrinsic and extrinsic calibration of LiDAR-IMU systems,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:09:49.877387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ef956c43-be24-42d2-84f0-c3ef4c316ce4 · outbound

This paper cites Laser-to-vehicle extrinsic calibration in low-observability scenarios for subsea mapping,.

An SE(3) Noise Model for Range-Azimuth-Elevation Sensors Laser-to-vehicle extrinsic calibration in low-observability scenarios for subsea mapping,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:09:49.854339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 30851551-eff9-4ad2-a3b1-c1142a7aa4ae · outbound

This paper cites Road vehicle localization with 2D push- broom LIDAR and 3D priors,.

An SE(3) Noise Model for Range-Azimuth-Elevation Sensors Road vehicle localization with 2D push- broom LIDAR and 3D priors,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:09:49.834943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 554cad7d-7290-427f-9599-8f978f8eae6b · outbound

This paper cites Practical considerations and extensions of the invariant extended Kalman filtering framework,.

An SE(3) Noise Model for Range-Azimuth-Elevation Sensors Practical considerations and extensions of the invariant extended Kalman filtering framework,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:09:49.819130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ff45adfe-9fb8-4f38-b9b9-47dc6db756b3 · outbound

This paper cites Farrell, Aided Navigation: GPS with High Rate Sensors.

An SE(3) Noise Model for Range-Azimuth-Elevation Sensors Farrell, Aided Navigation: GPS with High Rate Sensors

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:09:49.802903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1fb945e1-20f0-4054-b85c-965b7def64f6 · outbound

This paper cites Full STEAM ahead: Exactly sparse Gaussian process regression for batch continuous-time trajectory esti- mation on SE (3),.

An SE(3) Noise Model for Range-Azimuth-Elevation Sensors Full STEAM ahead: Exactly sparse Gaussian process regression for batch continuous-time trajectory esti- mation on SE (3),

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:09:49.784414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.