Paper Citation Record · LEDGER

Selective Kalman Filter: When and How to Fuse Multi-Sensor Information to Overcome Degeneracy in SLAM

As of 23 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 2 inbound Pith citation observations for arXiv:2412.17235.

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

pith.paper-citation-record.v1
2412.17235 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:47:13.490973Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T06:05:37.465605Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T06:05:37.650105Z

Reference resolution

22 of 22 outbound references displayed

verified exact0
verified fuzzy17
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4743f406-d88b-4e79-ba02-a2c369be057a · outbound

This paper cites A review of multi-sensor fusion slam systems based on 3d lidar,.

Selective Kalman Filter: When and How to Fuse Multi-Sensor Information to Overcome Degeneracy in SLAM A review of multi-sensor fusion slam systems based on 3d lidar,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T05:47:13.411506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5499a710-77e7-4f02-90cb-c84eceed3726 · outbound

This paper cites R 3 live: A robust, real-time, rgb-colored, lidar- inertial-visual tightly-coupled state estimation and mapping package,.

Selective Kalman Filter: When and How to Fuse Multi-Sensor Information to Overcome Degeneracy in SLAM R 3 live: A robust, real-time, rgb-colored, lidar- inertial-visual tightly-coupled state estimation and mapping package,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:13.734498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5e953ef6-7823-4fe6-9a63-d7c05d9be3c0 · outbound

This paper cites Fast-livo: Fast and tightly-coupled sparse-direct lidar-inertial-visual odometry,.

Selective Kalman Filter: When and How to Fuse Multi-Sensor Information to Overcome Degeneracy in SLAM Fast-livo: Fast and tightly-coupled sparse-direct lidar-inertial-visual odometry,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T05:47:13.420334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf0c19f7-6f45-400c-82de-f1434c598d1a · outbound

This paper cites Lvio-fusion:tightly- coupled lidar-visual-inertial odometry and mapping in degenerate environments,.

Selective Kalman Filter: When and How to Fuse Multi-Sensor Information to Overcome Degeneracy in SLAM Lvio-fusion:tightly- coupled lidar-visual-inertial odometry and mapping in degenerate environments,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:13.715775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 25b59c60-56f5-42cd-886c-3c3e8b33f20b · outbound

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

Selective Kalman Filter: When and How to Fuse Multi-Sensor Information to Overcome Degeneracy in SLAM Liver: A tightly coupled lidar-inertial-visual state estimator with high robustness for underground environments,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:13.705115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 20adc15f-b792-4504-be42-85c5792be75f · outbound

This paper cites Sensor data fusion using kalman filter,.

Selective Kalman Filter: When and How to Fuse Multi-Sensor Information to Overcome Degeneracy in SLAM Sensor data fusion using kalman filter,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:13.694408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c6842afd-104f-46f9-8977-d01f94baed10 · outbound

This paper cites Extended kalman filtering for fuzzy modelling and multi-sensor fusion,.

Selective Kalman Filter: When and How to Fuse Multi-Sensor Information to Overcome Degeneracy in SLAM Extended kalman filtering for fuzzy modelling and multi-sensor fusion,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:13.683227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fa23633a-9809-484e-884e-ac6f143f5507 · outbound

This paper cites Multi-sensor optimal information fusion kalman filter,.

Selective Kalman Filter: When and How to Fuse Multi-Sensor Information to Overcome Degeneracy in SLAM Multi-sensor optimal information fusion kalman filter,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:13.672603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 42a24bf9-2ddc-4ef2-a2e6-1056e8533db3 · outbound

This paper cites Driftless 3-d attitude determination and positioning of mobile robots by integration of imu with two rtk gpss,.

Selective Kalman Filter: When and How to Fuse Multi-Sensor Information to Overcome Degeneracy in SLAM Driftless 3-d attitude determination and positioning of mobile robots by integration of imu with two rtk gpss,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:13.661776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5d29d23a-e756-45e3-ad95-aa0fb7e31b7f · outbound

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

Selective Kalman Filter: When and How to Fuse Multi-Sensor Information to Overcome Degeneracy in SLAM On degeneracy of optimization-based state estimation problems,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:13.650501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f82eb177-6f91-4ed2-85e0-70b084a2ec2c · outbound

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

Selective Kalman Filter: When and How to Fuse Multi-Sensor Information to Overcome Degeneracy in SLAM Degeneracy-aware factors with applications to underwater slam,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:13.638920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2e5790db-e0dc-4081-ab42-64cdc46c7d43 · outbound

This paper cites Lion: Lidar-inertial observability-aware navigator for vision-denied environments,.

Selective Kalman Filter: When and How to Fuse Multi-Sensor Information to Overcome Degeneracy in SLAM Lion: Lidar-inertial observability-aware navigator for vision-denied environments,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:13.627133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 70ed0f6a-a01b-488a-9215-4fb8375d7c31 · outbound

This paper cites Switch-slam: Switching-based lidar-inertial-visual slam for degenerate environments,.

Selective Kalman Filter: When and How to Fuse Multi-Sensor Information to Overcome Degeneracy in SLAM Switch-slam: Switching-based lidar-inertial-visual slam for degenerate environments,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:13.616131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5253eef7-9146-430a-85b5-4ee5404cc199 · outbound

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

Selective Kalman Filter: When and How to Fuse Multi-Sensor Information to Overcome Degeneracy in SLAM X-icp: Localizability-aware lidar registration for robust localization in extreme environments,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:13.604409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 38755a4d-8389-4bdf-ab5e-75e34984e3df · outbound

This paper cites Mm-lins: a multi-map lidar-inertial system for over-degenerate environments,.

Selective Kalman Filter: When and How to Fuse Multi-Sensor Information to Overcome Degeneracy in SLAM Mm-lins: a multi-map lidar-inertial system for over-degenerate environments,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:13.592159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 935d783a-bfc9-40d6-9bf2-08cbffa1fe08 · outbound

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

Selective Kalman Filter: When and How to Fuse Multi-Sensor Information to Overcome Degeneracy in SLAM Learning-based localizability estimation for robust lidar localization,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:13.580680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6da37dfe-1f8a-409d-a54e-547060fb3204 · outbound

This paper cites Fast-lio: A fast, robust lidar-inertial odometry package by tightly-coupled iterated kalman filter,.

Selective Kalman Filter: When and How to Fuse Multi-Sensor Information to Overcome Degeneracy in SLAM Fast-lio: A fast, robust lidar-inertial odometry package by tightly-coupled iterated kalman filter,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T05:47:13.473715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f66c500c-f1d3-452a-be1d-708839bc9d20 · outbound

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

Selective Kalman Filter: When and How to Fuse Multi-Sensor Information to Overcome Degeneracy in SLAM Fast-lio2: Fast direct lidar- inertial odometry,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T05:47:13.477115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a891b3dd-aaf1-439a-a99e-c5c321aa9a5b · outbound

This paper cites A practical survey on visual odometry for autonomous driving in challenging scenarios and conditions,.

Selective Kalman Filter: When and How to Fuse Multi-Sensor Information to Overcome Degeneracy in SLAM A practical survey on visual odometry for autonomous driving in challenging scenarios and conditions,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:13.555382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1d1f66f8-ee63-47d7-983e-6526129f448c · outbound

This paper cites Viral-fusion: A visual-inertial-ranging-lidar sensor fusion approach,.

Selective Kalman Filter: When and How to Fuse Multi-Sensor Information to Overcome Degeneracy in SLAM Viral-fusion: A visual-inertial-ranging-lidar sensor fusion approach,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T05:47:13.484056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce2f884c-4f64-4a7d-a678-26caf44e6325 · outbound

This paper cites R3LIVE Dataset,.

Selective Kalman Filter: When and How to Fuse Multi-Sensor Information to Overcome Degeneracy in SLAM R3LIVE Dataset,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:13.535248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0be60044-8942-40be-aac1-eb67f4e940e4 · outbound

This paper cites R 3 live++: A robust, real-time, radiance reconstruction package with a tightly-coupled lidar-inertial-visual state estimator,.

Selective Kalman Filter: When and How to Fuse Multi-Sensor Information to Overcome Degeneracy in SLAM R 3 live++: A robust, real-time, radiance reconstruction package with a tightly-coupled lidar-inertial-visual state estimator,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:13.523820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation f67d88e0-3ad2-4318-b31b-03f38b034e8d · inbound

Large-Scale UWB Anchor Calibration and One-Shot Localization Using Gaussian Process cites this paper.

Large-Scale UWB Anchor Calibration and One-Shot Localization Using Gaussian Process Selective Kalman Filter: When and How to Fuse Multi-Sensor Information to Overcome Degeneracy in SLAM

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-11T06:05:37.653864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 45be13c2-5149-4d5f-a2ab-26e4dcc54c1a · inbound

Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM cites this paper.

Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM Selective Kalman Filter: When and How to Fuse Multi-Sensor Information to Overcome Degeneracy in SLAM

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T14:52:05.313599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.