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Paper Citation Record · LEDGER

Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach

As of 21 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2411.11320.

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

pith.paper-citation-record.v1
2411.11320 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:45:57.506156Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

26 of 26 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7036bd82-942f-44fb-b65c-ef14593ab5d3 · outbound

This paper cites A simple test for GARCH against a stochastic volatility model,.

Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach A simple test for GARCH against a stochastic volatility model,

Reference 1

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Observation f93b07e9-0a0a-43ff-896e-751427ad07e8 · outbound

This paper cites A variational Bayesian approach to robust sensor fusion based on Student-t distribution,.

Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach A variational Bayesian approach to robust sensor fusion based on Student-t distribution,

Reference 2

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Observation 318caded-7df2-4784-be49-84a79e385ce1 · outbound

This paper cites State estimation for linear and non-linear equality- constrained systems,.

Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach State estimation for linear and non-linear equality- constrained systems,

Reference 3

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Observation 92c6b40b-aea9-4540-b392-cd5ec753c1e7 · outbound

This paper cites Multiple target tracking with constrained motion using particle filtering methods,.

Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach Multiple target tracking with constrained motion using particle filtering methods,

Reference 4

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Observation b49a60fa-5542-4d0a-890c-cd055c4d12ac · outbound

This paper cites A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking,.

Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking,

Reference 5

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Observation 89851e07-d35a-4396-bf4e-ec1ac2fd6265 · outbound

This paper cites A t-distribution based particle filter for target tracking,.

Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach A t-distribution based particle filter for target tracking,

Reference 6

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Observation 7cbeef59-bcc6-4eb3-b919-87d5d1b28fcb · outbound

This paper cites A robust particle filtering algorithm with non-Gaussian measurement noise using Student-t distribution,.

Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach A robust particle filtering algorithm with non-Gaussian measurement noise using Student-t distribution,

Reference 7

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Observation e5b71127-4fbd-4662-a69d-7f9cf2ff0b62 · outbound

This paper cites an unresolved cited work.

Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach Unresolved cited work

Reference 8

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Observation f2b5ebd4-b6b4-4375-88a8-a5e790ed1798 · outbound

This paper cites Laplace ℓ1 robust Kalman filter based on majorization minimization,.

Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach Laplace ℓ1 robust Kalman filter based on majorization minimization,

Reference 9

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Observation 9b1cd791-754e-4ce8-8f33-c0d55085c2aa · outbound

This paper cites Model-based multi-sensor data fusion,.

Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach Model-based multi-sensor data fusion,

Reference 10

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Observation 02d03616-9592-4378-bb04-796264c5219e · outbound

This paper cites Optimal combination and constraints for geometrical sensor data,.

Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach Optimal combination and constraints for geometrical sensor data,

Reference 11

Resolution
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Observation 4ff905c8-e09f-44e0-ae85-02b68fa01ae1 · outbound

This paper cites Kalman filtering with state equality con- straints,.

Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach Kalman filtering with state equality con- straints,

Reference 12

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Source-reported events for the cited work

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Observation 81ee6f17-0c39-4b28-83fb-999d2f154d3f · outbound

This paper cites Constrained State Estimation -- A Review.

Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach Constrained State Estimation -- A Review

Reference 13

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Observation f4b44a8e-6f6d-4a49-9b79-69bd6bfccf05 · outbound

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Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach Truncation nonlinear filters for state estimation with nonlinear inequality constraints,

Reference 14

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Observation 95ab2695-8a46-4b2d-8c11-6cc1f693008b · outbound

This paper cites Optimization methods for financial index tracking: From theory to practice,.

Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach Optimization methods for financial index tracking: From theory to practice,

Reference 15

Resolution
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Observation fa45d9da-250a-467d-bced-22252a00d27a · outbound

This paper cites New look at the Student’s t-based Kalman filter from maximum a posterior perspective,.

Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach New look at the Student’s t-based Kalman filter from maximum a posterior perspective,

Reference 16

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Observation da0b6a55-e754-4097-8320-a58cd8a9b92b · outbound

This paper cites State space models for dynamic style analysis of portfolios,.

Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach State space models for dynamic style analysis of portfolios,

Reference 17

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Observation ee58e669-abbf-401b-9014-ceccdcb52bd9 · outbound

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Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach Portfolio selection,

Reference 18

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Observation d2aed0ea-4e28-4ac5-b9be-4e60a9d5df92 · outbound

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Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach RHC-based attitude control of spacecraft under geometric constraints,

Reference 19

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Observation de2d7117-a482-4fb4-a11a-10ad5e331014 · outbound

This paper cites Majorization-minimization algo- rithms in signal processing, communications, and machine learning,.

Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach Majorization-minimization algo- rithms in signal processing, communications, and machine learning,

Reference 20

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Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach Nonlinear programming,

Reference 21

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Observation 22603689-b851-4398-bc9f-14dee4eab3c1 · outbound

This paper cites A general inner approximation algorithm for nonconvex mathematical programs,.

Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach A general inner approximation algorithm for nonconvex mathematical programs,

Reference 22

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Source-reported events for the cited work

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Observation 6de985f4-7d66-4f84-8eac-872f9ea48209 · outbound

This paper cites Approximate inference in state-space models with heavy-tailed noise,.

Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach Approximate inference in state-space models with heavy-tailed noise,

Reference 23

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Source-reported events for the cited work

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This paper cites A novel robust Student’s t-based Kalman filter,.

Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach A novel robust Student’s t-based Kalman filter,

Reference 24

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Observation a97e7252-9c2e-442c-ab6a-1533c80a9a2d · outbound

This paper cites Skew- t filter and smoother with improved covariance matrix approximation,.

Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach Skew- t filter and smoother with improved covariance matrix approximation,

Reference 25

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Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach Kalman filtering with nonlinear state con- straints,

Reference 26

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Source-reported events for the cited work

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