Paper Citation Record · LEDGER

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks

As of 18 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2412.02901.

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

pith.paper-citation-record.v1
2412.02901 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:04:53.741620Z

measured 34 of 34 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:52:56.007961Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-16T05:52:56.057283Z

Reference resolution

33 of 33 outbound references displayed

verified exact3
verified fuzzy24
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d7d02230-e38b-4612-be04-21650533de3c · outbound

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

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks An accurate closed-form estimate of icp’s covariance,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:04:54.348421Z

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 8e194be9-9faa-4ed7-87c5-f92a2b6d7f78 · outbound

This paper cites A new approach to 3d icp covariance estimation,.

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks A new approach to 3d icp covariance estimation,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:04:54.327463Z

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 1e395522-1b83-44c6-89a8-f26ece54df04 · outbound

This paper cites Principled icp covariance modelling in perceptually degraded environments for the eels mission concept,.

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks Principled icp covariance modelling in perceptually degraded environments for the eels mission concept,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:04:54.309241Z

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 53949272-ff12-42fd-8821-80a05be9e4cb · outbound

This paper cites Prepared for the Worst: A Learning-Based Adversarial Attack for Resilience Analysis of the ICP Algorithm.

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks Prepared for the Worst: A Learning-Based Adversarial Attack for Resilience Analysis of the ICP Algorithm

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-11T23:04:53.893893Z

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 13680a6d-f00d-48ff-9e16-eca3b3c9334c · outbound

This paper cites Toward certifying maps for safe registration-based localization under adverse conditions,.

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks Toward certifying maps for safe registration-based localization under adverse conditions,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:04:54.291349Z

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 4124d2dc-c97b-4b5c-a567-ebcefc5fe10b · outbound

This paper cites Estimating the localizability in tunnel-like environments using lidar and uwb,.

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks Estimating the localizability in tunnel-like environments using lidar and uwb,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:04:54.272181Z

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 58e7353a-01f9-4c34-815b-68f946816074 · outbound

This paper cites Lmapping: tightly-coupled lidar-inertial odometry and mapping for degraded environments,.

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks Lmapping: tightly-coupled lidar-inertial odometry and mapping for degraded environments,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:04:54.253268Z

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 61501591-c829-44bc-895e-d1850ecb472b · outbound

This paper cites KISS-ICP: In defense of point-to-point ICP–simple, accurate, and robust registration if done the right way,.

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks KISS-ICP: In defense of point-to-point ICP–simple, accurate, and robust registration if done the right way,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:04:54.233949Z

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 2293a6f4-06de-4e70-8e1c-52fe7b2b488c · outbound

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

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks Open3d slam: Point cloud based mapping and localization for education,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:04:54.214716Z

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 929cb24b-f7d9-499c-b867-cc9f725b65e6 · outbound

This paper cites Online lidar- slam for legged robots with robust registration and deep-learned loop closure,.

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks Online lidar- slam for legged robots with robust registration and deep-learned loop closure,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:04:54.196573Z

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 8fd560c6-4618-419f-9367-4f4e6ed98181 · outbound

This paper cites A portable three-dimensional LIDAR-based system for long-term and wide-area people behavior measurement,.

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks A portable three-dimensional LIDAR-based system for long-term and wide-area people behavior measurement,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:04:54.179095Z

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 08d748a3-b271-4d43-8eb8-df6a4a874cdd · outbound

This paper cites Fast-LIO: A fast, robust LIDAR-inertial odometry package by tightly-coupled iterated Kalman filter,.

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks Fast-LIO: A fast, robust LIDAR-inertial odometry package by tightly-coupled iterated Kalman filter,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:04:54.162187Z

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 d2929e2c-29b0-4761-8d4f-54b2c807a09c · outbound

This paper cites On degeneracy of optimization- based state estimation problems,.

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks On degeneracy of optimization- based state estimation problems,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:04:54.145343Z

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 a908f348-2395-4d92-a3a2-4799fd651b02 · outbound

This paper cites Degeneracy-aware factors with applications to underwater SLAM,.

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks Degeneracy-aware factors with applications to underwater SLAM,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:04:54.128289Z

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 2ab4697a-0d7a-460b-b380-77e94b4cbca7 · outbound

This paper cites Super odometry: IMU-centric LIDAR-visual-inertial estimator for challeng- ing environments,.

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks Super odometry: IMU-centric LIDAR-visual-inertial estimator for challeng- ing environments,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:04:54.110921Z

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 b400b707-ee83-4273-a457-7f0b8510ebee · outbound

This paper cites X-icp: Localizability-aware lidar registration for robust localization in ex- treme environments,.

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks X-icp: Localizability-aware lidar registration for robust localization in ex- treme environments,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:04:54.093049Z

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 3fa90cce-d092-40e0-b84f-1a8892d5eb5e · outbound

This paper cites Informed, Constrained, Aligned: A Field Analysis on Degeneracy-aware Point Cloud Registration in the Wild.

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks Informed, Constrained, Aligned: A Field Analysis on Degeneracy-aware Point Cloud Registration in the Wild

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T23:04:53.661300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 339ad3d2-4758-4072-992c-c14a41cb63e8 · outbound

This paper cites FAST-LIVO: Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry.

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks FAST-LIVO: Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-11T23:04:53.851711Z

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 d707bff2-728c-42ca-a549-653171533720 · outbound

This paper cites R3LIVE: A robust, real-time, rgb-colored, LiDAR-inertial-visual tightly-coupled state estimation and mapping package,.

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks R3LIVE: A robust, real-time, rgb-colored, LiDAR-inertial-visual tightly-coupled state estimation and mapping package,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:04:54.076034Z

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 2008b878-303d-42d8-95bd-e90e09700668 · outbound

This paper cites Learning-based lo- calizability estimation for robust lidar localization,.

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks Learning-based lo- calizability estimation for robust lidar localization,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:04:54.059115Z

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 34002cb0-df2d-4b9d-b515-dc5c409a7dd0 · outbound

This paper cites LIO- SAM: Tightly-coupled LIDAR inertial odometry via smoothing and mapping,.

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks LIO- SAM: Tightly-coupled LIDAR inertial odometry via smoothing and mapping,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:04:54.042588Z

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 5120c05f-1dad-45a1-9de7-ab8f3d3d7a86 · outbound

This paper cites PALoc: Advancing SLAM benchmarking with prior-assisted 6-DoF trajectory generation and uncertainty estimation,.

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks PALoc: Advancing SLAM benchmarking with prior-assisted 6-DoF trajectory generation and uncertainty estimation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:04:54.025105Z

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 248fa972-daa7-4135-bcbf-71aa3e497e72 · outbound

This paper cites Tightly Coupled Range Inertial Localization on a 3D Prior Map Based on Sliding Window Factor Graph Optimization.

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks Tightly Coupled Range Inertial Localization on a 3D Prior Map Based on Sliding Window Factor Graph Optimization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T23:04:53.692564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8003d3a-57ae-4bcf-a8d5-a29421ddff51 · outbound

This paper cites Direct LiDAR-Inertial Odometry and Mapping: Perceptive and Connective SLAM.

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks Direct LiDAR-Inertial Odometry and Mapping: Perceptive and Connective SLAM

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T23:04:53.697421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da4d2312-9cef-43e3-ae2a-4620dd6049b5 · outbound

This paper cites Liver: A tightly coupled lidar-inertial-visual state estimator with high robustness for underground environments,.

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks Liver: A tightly coupled lidar-inertial-visual state estimator with high robustness for underground environments,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T23:04:53.702573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0621ed5-2e76-4d5e-b616-75cfcd99e22c · outbound

This paper cites Traj-LIO: A Resilient Multi-LiDAR Multi-IMU State Estimator Through Sparse Gaussian Process.

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks Traj-LIO: A Resilient Multi-LiDAR Multi-IMU State Estimator Through Sparse Gaussian Process

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-11T23:04:53.791260Z

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 22404813-9a28-4d48-b9c2-8f44defda531 · outbound

This paper cites Geometri- cally stable sampling for the icp algorithm,.

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks Geometri- cally stable sampling for the icp algorithm,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:04:53.998671Z

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 4d4be577-0985-49f0-93fe-4c4ed3c8ddfa · outbound

This paper cites Adaptive robust kernels for non-linear least squares problems,.

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks Adaptive robust kernels for non-linear least squares problems,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:04:53.982571Z

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 f831f974-1df7-45b5-9deb-10bfdc008662 · outbound

This paper cites IMU preinte- gration on manifold for efficient visual-inertial maximum-a-posteriori estimation,.

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks IMU preinte- gration on manifold for efficient visual-inertial maximum-a-posteriori estimation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:04:53.965716Z

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 265aac7c-6618-4351-b613-3f5ea0cc10a1 · outbound

This paper cites SubT-MRS dataset: Pushing slam towards all-weather environments,.

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks SubT-MRS dataset: Pushing slam towards all-weather environments,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:04:53.948547Z

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 47f2cfd1-8d10-4337-bcd8-4540c2669a6c · outbound

This paper cites FAST-LIO2: Fast direct lidar-inertial odometry,.

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks FAST-LIO2: Fast direct lidar-inertial odometry,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T23:04:53.731169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29f26a3d-83e4-4c1c-92c8-84553c4ada4d · outbound

This paper cites Faster-LIO: Lightweight tightly coupled LIDAR-inertial odometry using parallel sparse incremental voxels,.

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks Faster-LIO: Lightweight tightly coupled LIDAR-inertial odometry using parallel sparse incremental voxels,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:04:53.921231Z

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 f9bef52a-2da7-4e81-8088-c291352b83ef · outbound

This paper cites Direct lidar odometry: Fast localization with dense point clouds,.

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks Direct lidar odometry: Fast localization with dense point clouds,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T23:04:53.741620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 617c4a3e-d65a-47be-a32d-b3c07638bead · inbound

ARMOR: Adaptive Meshing with Reinforcement Optimization for Real-time 3D Monitoring in Unexposed Scenes cites this paper.

ARMOR: Adaptive Meshing with Reinforcement Optimization for Real-time 3D Monitoring in Unexposed Scenes SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-08-16T05:52:56.063313Z

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.