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Paper Citation Record · LEDGER

Iteratively Saturated Kalman Filtering

As of 17 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2507.00272.

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

pith.paper-citation-record.v1
2507.00272 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:28:52.743398Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

28 of 28 outbound references displayed

  • verified exact1
  • verified fuzzy23
  • unresolved4
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 476de3ff-9fb8-4cef-9794-ec00adb8b178 · outbound

This paper cites A new approach to linear filtering and prediction problems.

Iteratively Saturated Kalman Filtering A new approach to linear filtering and prediction problems

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7dd342cf-7b48-45dd-9a5d-888267b71da7 · outbound

This paper cites Efficient decoding with steady-state Kalman filter in neural interface systems.

Iteratively Saturated Kalman Filtering Efficient decoding with steady-state Kalman filter in neural interface systems

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 1d021101-1034-4379-bc6a-47386cfaa513 · outbound

This paper cites Shocks and frictions in US business cycles: A Bayesian DSGE approach.

Iteratively Saturated Kalman Filtering Shocks and frictions in US business cycles: A Bayesian DSGE approach

Reference 3

Resolution
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Source-reported events for the cited work

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Observation 7c02f50f-fe1b-48b2-8975-58bfbcd383cf · outbound

This paper cites Huber,An augmented steady-state Kalman filter to evaluate the likelihood of linear and time: Invariant state-space models, tech.

Iteratively Saturated Kalman Filtering Huber,An augmented steady-state Kalman filter to evaluate the likelihood of linear and time: Invariant state-space models, tech

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6a586784-6079-47ee-9b65-2cd74e238f49 · outbound

This paper cites Robust Bayesian estimation for the linear model and robustifying the Kalman filter.

Iteratively Saturated Kalman Filtering Robust Bayesian estimation for the linear model and robustifying the Kalman filter

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2cbe8dbc-8c80-49e1-b3b0-2fcd3edb1ddb · outbound

This paper cites Davidon,Variable metric method for minimization, tech.

Iteratively Saturated Kalman Filtering Davidon,Variable metric method for minimization, tech

Reference 6

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Source-reported events for the cited work

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Observation 2fe082e1-c75d-470a-9b98-36a32a506520 · outbound

This paper cites A Rapidly Convergent Descent Method for Minimization.

Iteratively Saturated Kalman Filtering A Rapidly Convergent Descent Method for Minimization

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4de9f4d5-7aea-46d2-8e90-05a61444a8da · outbound

This paper cites Robust estimation with unknown noise statistics.

Iteratively Saturated Kalman Filtering Robust estimation with unknown noise statistics

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 0b6b8e9d-171f-4d42-8a46-dd567925a9a9 · outbound

This paper cites Robust Kalman filtering based on Mahalanobis distance as outlier judging criterion.

Iteratively Saturated Kalman Filtering Robust Kalman filtering based on Mahalanobis distance as outlier judging criterion

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 18b14a92-f474-44bc-b321-bcbe57a4bf17 · outbound

This paper cites Outlier-robust Kalman Filtering through Generalised Bayes.

Iteratively Saturated Kalman Filtering Outlier-robust Kalman Filtering through Generalised Bayes

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation dd7ab3dc-3470-4754-a3b8-dfbe9dfa1067 · outbound

This paper cites A Kalman filter for robust outlier detection.

Iteratively Saturated Kalman Filtering A Kalman filter for robust outlier detection

Reference 11

Resolution
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Source-reported events for the cited work

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Observation 1189e915-f268-4289-b4bc-e293cebbfec7 · outbound

This paper cites An outlier-robust Kalman filter.

Iteratively Saturated Kalman Filtering An outlier-robust Kalman filter

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a1226d0e-d36e-4f8a-ba91-9a99670ca18e · outbound

This paper cites Robust Estimation of a Location Parameter.

Iteratively Saturated Kalman Filtering Robust Estimation of a Location Parameter

Reference 13

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0e5253b3-57ab-4b67-aceb-35c7c57f1189 · outbound

This paper cites Robust Kalman filter and its application in time series analysis.

Iteratively Saturated Kalman Filtering Robust Kalman filter and its application in time series analysis

Reference 14

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c096d396-2388-4f7c-b330-23a680029d0a · outbound

This paper cites On robust Kalman filtering.

Iteratively Saturated Kalman Filtering On robust Kalman filtering

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 430478d7-43d2-42d4-8fb1-926da8954645 · outbound

This paper cites CVXGEN: A code generator for embedded convex optimization.

Iteratively Saturated Kalman Filtering CVXGEN: A code generator for embedded convex optimization

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5ab517f6-3e32-4541-9dc4-cb76b3189a67 · outbound

This paper cites Random sample consensus (RANSAC).

Iteratively Saturated Kalman Filtering Random sample consensus (RANSAC)

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 0c9727fa-dce0-4d8f-9589-066c8573c390 · outbound

This paper cites KALMANSAC: Robust filtering by consensus.

Iteratively Saturated Kalman Filtering KALMANSAC: Robust filtering by consensus

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2edebd2a-d150-4e82-9ebb-0a446987f215 · outbound

This paper cites Recursive outlier-robust filtering and smoothing for nonlinear systems using the multivariate Student-t distribution.

Iteratively Saturated Kalman Filtering Recursive outlier-robust filtering and smoothing for nonlinear systems using the multivariate Student-t distribution

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 97949974-218e-4217-bc8c-ade6b8fb96ba · outbound

This paper cites Nonlinear regression Huber–Kalman filtering and fixed-interval smoothing.

Iteratively Saturated Kalman Filtering Nonlinear regression Huber–Kalman filtering and fixed-interval smoothing

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 74227318-ffa3-4bf6-bbb8-09a84bfd1bcb · outbound

This paper cites Robustifying the Kalman filter against measurement outliers: An innovation saturation mechanism.

Iteratively Saturated Kalman Filtering Robustifying the Kalman filter against measurement outliers: An innovation saturation mechanism

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 747dc199-e9d5-4b30-ad98-fba314b74775 · outbound

This paper cites Generalised Bayesian filtering via sequential Monte Carlo.

Iteratively Saturated Kalman Filtering Generalised Bayesian filtering via sequential Monte Carlo

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a09ca1af-48df-4296-98fd-c7780d08522d · outbound

This paper cites Simon, John Wiley & Sons, 2006.

Iteratively Saturated Kalman Filtering Simon, John Wiley & Sons, 2006

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c694c7b6-a74e-4914-8144-a08a501922f8 · outbound

This paper cites Polyak, Optimization Software, 1987.

Iteratively Saturated Kalman Filtering Polyak, Optimization Software, 1987

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 1b815ff9-7bfc-43e4-8da2-e43b4d33fddc · outbound

This paper cites Clarabel: An interior-point solver for conic programs with quadratic objectives.

Iteratively Saturated Kalman Filtering Clarabel: An interior-point solver for conic programs with quadratic objectives

Reference 25

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no resolver link, observed 2026-08-06T21:28:52.303119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 91f3714a-c785-4d66-89d8-5a1d5329bd64 · outbound

This paper cites Bequette, Prentice Hall Englewood Cliffs, NJ, 1998.

Iteratively Saturated Kalman Filtering Bequette, Prentice Hall Englewood Cliffs, NJ, 1998

Reference 26

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raw_fallback, observed 2026-08-06T21:28:54.076863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 8a945b63-52f8-4f17-b057-da07125eaa55 · outbound

This paper cites Seborg, T.

Iteratively Saturated Kalman Filtering Seborg, T

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation fc4c1c04-2cf5-484c-a5b5-8f99ef39a179 · outbound

This paper cites About the Authors Alan Yang is a Ph.D candidate in Electri- cal Engineering at Stanford University.

Iteratively Saturated Kalman Filtering About the Authors Alan Yang is a Ph.D candidate in Electri- cal Engineering at Stanford University

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Pith citing papers

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