Paper Citation Record · LEDGER

Joint State and Noise Covariance Estimation

As of 22 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2502.04584.

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

pith.paper-citation-record.v1
2502.04584 v3

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:23:45.191139Z

measured 35 of 35 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 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

35 of 35 outbound references displayed

verified exact3
verified fuzzy21
unresolved11
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0726294a-020e-4bf2-a171-1256a9f89e28 · outbound

This paper cites an unresolved cited work.

Joint State and Noise Covariance Estimation Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-08T22:23:45.723115Z

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 8e218e14-e4d1-4063-92bb-7d39ef97e135 · outbound

This paper cites Optimization algorithms on matrix manifolds.

Joint State and Noise Covariance Estimation Optimization algorithms on matrix manifolds

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:23:45.698941Z

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 433d83ef-5294-4a34-8375-00e48f273bef · outbound

This paper cites Ceres Solver, 10 2023.

Joint State and Noise Covariance Estimation Ceres Solver, 10 2023

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:23:45.683190Z

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 dbbbb07e-f145-4a8c-b951-2fe808d0845c · outbound

This paper cites Cambridge University Press, 2024.

Joint State and Noise Covariance Estimation Cambridge University Press, 2024

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:23:45.668782Z

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 5c1eb753-0bc4-4940-8a19-9be571c7cc5b · outbound

This paper cites Exactly sparse Gaussian variational inference with appli- cation to derivative-free batch nonlinear state estimation.

Joint State and Noise Covariance Estimation Exactly sparse Gaussian variational inference with appli- cation to derivative-free batch nonlinear state estimation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:23:45.653895Z

Source-reported events for the cited work

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Observation aeb9ec06-f907-411c-8d95-698b6d903542 · outbound

This paper cites Springer, 2006.

Joint State and Noise Covariance Estimation Springer, 2006

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T22:23:45.064697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a04e7cf-60ff-457f-abdd-0d4a7380991a · outbound

This paper cites An introduction to optimization on smooth manifolds.

Joint State and Noise Covariance Estimation An introduction to optimization on smooth manifolds

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T22:23:45.069711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1576c079-58e0-4de7-8847-b414a13d1302 · outbound

This paper cites Boyd and L.

Joint State and Noise Covariance Estimation Boyd and L

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T22:23:45.074046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89f3788a-499b-4e33-8792-55773c88a18e · outbound

This paper cites Past, Present, and Future of Simultaneous Localization And Mapping: Towards the Robust-Perception Age.

Joint State and Noise Covariance Estimation Past, Present, and Future of Simultaneous Localization And Mapping: Towards the Robust-Perception Age

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T22:23:45.078516Z

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Observation 96920c5b-8d70-43bf-94e0-11ee418ccf79 · outbound

This paper cites G ´omez, Jos ´e M.

Joint State and Noise Covariance Estimation G ´omez, Jos ´e M

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:23:45.609500Z

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 4f017925-3735-4ac1-8b0f-d60948dbfefc · outbound

This paper cites Initialization techniques for 3d slam: A survey on rotation estimation and its use in pose graph optimization.

Joint State and Noise Covariance Estimation Initialization techniques for 3d slam: A survey on rotation estimation and its use in pose graph optimization

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:23:45.594325Z

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 6599f8ab-4343-4ddf-b375-a97e53a834bb · outbound

This paper cites Kalman Filter Auto-tuning through Enforcing Chi-Squared Normalized Error Distributions with Bayesian Optimization.

Joint State and Noise Covariance Estimation Kalman Filter Auto-tuning through Enforcing Chi-Squared Normalized Error Distributions with Bayesian Optimization

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-08T22:23:45.302285Z

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 3f31cd7a-370a-4901-9176-ad549172b2e6 · outbound

This paper cites borglab/gtsam, May 2022.

Joint State and Noise Covariance Estimation borglab/gtsam, May 2022

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:23:45.579018Z

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 f03bfc0c-4023-4942-a811-cf9b773dcc3a · outbound

This paper cites Factor graphs for robot perception.Foundations and Trends® in Robotics, 6(1-2):1–139, 2017.

Joint State and Noise Covariance Estimation Factor graphs for robot perception.Foundations and Trends® in Robotics, 6(1-2):1–139, 2017

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:23:45.565355Z

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 b330b19c-82c8-45c8-8fd7-43bf5091ea06 · outbound

This paper cites Present and future of SLAM in extreme environ- ments: The DARPA SubT challenge.IEEE Transactions on Robotics, 2023.

Joint State and Noise Covariance Estimation Present and future of SLAM in extreme environ- ments: The DARPA SubT challenge.IEEE Transactions on Robotics, 2023

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:23:45.550936Z

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 4a1b0485-78d6-4835-80e1-aee23fba0e18 · outbound

This paper cites Look Ma, No Ground Truth! Ground-Truth-Free Tuning of Structure from Motion and Visual SLAM.

Joint State and Noise Covariance Estimation Look Ma, No Ground Truth! Ground-Truth-Free Tuning of Structure from Motion and Visual SLAM

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-08T22:23:45.280632Z

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 a7ff023e-03f1-4593-974a-ff230a56823b · outbound

This paper cites Anyfeature-vslam: Automating the usage of any chosen feature into visual SLAM.

Joint State and Noise Covariance Estimation Anyfeature-vslam: Automating the usage of any chosen feature into visual SLAM

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:23:45.536464Z

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 592b97bf-6ba7-4fb0-bef8-4da132ed51e6 · outbound

This paper cites Matrix-Valued Measures and Wishart Statistics for Target Tracking Applications.

Joint State and Noise Covariance Estimation Matrix-Valued Measures and Wishart Statistics for Target Tracking Applications

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-08T22:23:45.259050Z

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 ec20993d-0216-44a8-a343-da4ac6491d66 · outbound

This paper cites Reliable graphs for SLAM.The International Journal of Robotics Research, 38(2-3):260–298, 2019.

Joint State and Noise Covariance Estimation Reliable graphs for SLAM.The International Journal of Robotics Research, 38(2-3):260–298, 2019

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:23:45.522293Z

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 06ba5d80-a4de-424a-b2ef-e65495cc39cf · outbound

This paper cites g2o: A general framework for graph optimization.

Joint State and Noise Covariance Estimation g2o: A general framework for graph optimization

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:23:45.507207Z

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 8c50ca72-ceba-406e-8c85-87e3f2d976cb · outbound

This paper cites SLAM-supported self- training for 6d object pose estimation.

Joint State and Noise Covariance Estimation SLAM-supported self- training for 6d object pose estimation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:23:45.493226Z

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 d74540d2-e927-434b-ae9b-2c2af2e7af94 · outbound

This paper cites an unresolved cited work.

Joint State and Noise Covariance Estimation Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-08T22:23:45.478683Z

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 5b1eaa47-134e-4e64-b955-48b0daedc82c · outbound

This paper cites Approaches to adaptive filtering.IEEE Transactions on automatic control, 17(5):693–698, 1972.

Joint State and Noise Covariance Estimation Approaches to adaptive filtering.IEEE Transactions on automatic control, 17(5):693–698, 1972

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:23:45.463500Z

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

Observation aca7cb5d-f490-477d-b866-e05be9f57ae4 · outbound

This paper cites Olson, J.

Joint State and Noise Covariance Estimation Olson, J

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:23:45.447468Z

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 671f6869-09df-49ac-857f-290e04cd325e · outbound

This paper cites Block Coordinate Descent on Smooth Manifolds: Convergence Theory and Twenty-One Examples.

Joint State and Noise Covariance Estimation Block Coordinate Descent on Smooth Manifolds: Convergence Theory and Twenty-One Examples

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T22:23:45.151900Z

Source-reported events for the cited work

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Observation 812aac78-eba6-472f-ac7c-597256a37039 · outbound

This paper cites UKAEA, 1970.

Joint State and Noise Covariance Estimation UKAEA, 1970

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:23:45.433216Z

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 1a4f48bb-bc81-4a38-a8d1-9967b4e971bc · outbound

This paper cites Learning covariances for estimation with constrained bilevel optimization.

Joint State and Noise Covariance Estimation Learning covariances for estimation with constrained bilevel optimization

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:23:45.418939Z

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 04aa9f7a-2308-497b-824f-7820cc82ed21 · outbound

This paper cites an unresolved cited work.

Joint State and Noise Covariance Estimation Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-08T22:23:45.403033Z

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 fdd2a7cd-f4de-4501-b1de-905376fb5a61 · outbound

This paper cites Lio-sam: Tightly-coupled lidar inertial odometry via smoothing and mapping.

Joint State and Noise Covariance Estimation Lio-sam: Tightly-coupled lidar inertial odometry via smoothing and mapping

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:23:45.387734Z

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 cff6227a-298f-4b37-a82d-f689a898984d · outbound

This paper cites Bundle adjustment—a modern synthesis.

Joint State and Noise Covariance Estimation Bundle adjustment—a modern synthesis

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-08T22:23:45.174072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 322deb1d-f9cc-4b47-9110-f54b35454194 · outbound

This paper cites Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, St ´efan J.

Joint State and Noise Covariance Estimation Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, St ´efan J

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T22:23:45.178276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4289e7de-278a-4a93-868b-b6f94d3ed166 · outbound

This paper cites Variational inference with parameter learning applied to vehicle trajectory estimation.IEEE Robotics and Automation Letters, 5 (4):5291–5298, 2020.

Joint State and Noise Covariance Estimation Variational inference with parameter learning applied to vehicle trajectory estimation.IEEE Robotics and Automation Letters, 5 (4):5291–5298, 2020

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:23:45.363268Z

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 dca4b995-99a9-4415-8e3f-075d7f683a71 · outbound

This paper cites Gen- eralized maximum likelihood estimation for perspective- n-point problem.IEEE Robotics and Automation Letters, 2025.

Joint State and Noise Covariance Estimation Gen- eralized maximum likelihood estimation for perspective- n-point problem.IEEE Robotics and Automation Letters, 2025

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:23:45.348981Z

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

Observation ab1318f3-8a6e-40ef-b68c-92e3ba249458 · outbound

This paper cites On the identification of noise covariances and adaptive kalman filtering: A new look at a 50 year-old problem.

Joint State and Noise Covariance Estimation On the identification of noise covariances and adaptive kalman filtering: A new look at a 50 year-old problem

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:23:45.333522Z

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 f02ea109-56db-4e9f-ad49-7172e26fbf6a · outbound

This paper cites an unresolved cited work.

Joint State and Noise Covariance Estimation Unresolved cited work

Reference 332

Resolution: unresolved; no resolver link, observed 2026-08-08T22:23:45.040088Z

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Unavailable: canonical work link unavailable.

Pith citing papers

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