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Paper Citation Record · LEDGER

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise

As of 8 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 1 inbound Pith citation observation for arXiv:2506.00838.

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

pith.paper-citation-record.v1
2506.00838 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:04:09.878205Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T14:04:40.078357Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:17:37.075304Z

Reference resolution

62 of 62 outbound references displayed

  • verified exact2
  • verified fuzzy48
  • unresolved11
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 644cc935-f0de-4f83-88b2-47afbdea994c · outbound

This paper cites The extended Kalman filter as a local asymptotic observer for nonlinear discrete-time systems.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise The extended Kalman filter as a local asymptotic observer for nonlinear discrete-time systems

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d8575f03-5800-4be5-9155-fd15fdd6b580 · outbound

This paper cites The unscented Kalman filter for nonlinear estimation.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise The unscented Kalman filter for nonlinear estimation

Reference 2

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c65b04ce-55f7-40cd-acd1-f1e5fe0acf77 · outbound

This paper cites PhD thesis, 2025.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise PhD thesis, 2025

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7e18318a-5592-4d95-93f4-bad8dbdbc589 · outbound

This paper cites an unresolved cited work.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Unresolved cited work

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4b4368aa-4c78-42c8-a705-14f4344b5228 · outbound

This paper cites Input influence matrix design for mimo discrete-time ultra-local model.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Input influence matrix design for mimo discrete-time ultra-local model

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f3762b15-1446-48f7-997d-e6b9660b8db1 · outbound

This paper cites an unresolved cited work.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Unresolved cited work

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:02.389878Z digest=sha256:53812c7d99e3899b7a01a9bbbb5ff154262bbe1a045dc79d402ca3b96f7351c4

Observation fd7454b9-36eb-4cf4-a053-6826050e8fec · outbound

This paper cites Convex geometric trajectory tracking using lie algebraic mpc for autonomous marine vehicles.IEEE Robotics and Automation Letters, 8(12): 8374–8381, 2023.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Convex geometric trajectory tracking using lie algebraic mpc for autonomous marine vehicles.IEEE Robotics and Automation Letters, 8(12): 8374–8381, 2023

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4e0ad7ad-00a3-41f7-a714-35788bca759b · outbound

This paper cites Toward Safety-Aware Informative Motion Planning for Legged Robots.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Toward Safety-Aware Informative Motion Planning for Legged Robots

Reference 8

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no resolver link, observed 2026-08-07T12:04:02.548628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:04:02.548628Z digest=sha256:db98499f68ec40bb6c81112cf869ee83db90d408bc0d3cbb8704df20e18b6a97

Observation 1ce583fe-3e17-4d11-aabc-7fc397132c6d · outbound

This paper cites Discrete-Time Hybrid Automata Learning: Legged Locomotion Meets Skateboarding.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Discrete-Time Hybrid Automata Learning: Legged Locomotion Meets Skateboarding

Reference 9

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no resolver link, observed 2026-08-07T12:04:02.647093Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:04:02.647093Z digest=sha256:5fc0cbcd38ae4fb5f01ae2edf19e7488f9482c02a1d3c71b0c9473a49aab8092

Observation 26a8a49f-493f-431d-9eea-250f667813fe · outbound

This paper cites A Generalized Metriplectic System via Free Energy and System~Identification via Bilevel Convex Optimization.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise A Generalized Metriplectic System via Free Energy and System~Identification via Bilevel Convex Optimization

Reference 10

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9cfb43a3-39ae-4c57-baaa-e72c06ce6d41 · outbound

This paper cites Convex Geometric Motion Planning on Lie Groups via Moment Relaxation.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Convex Geometric Motion Planning on Lie Groups via Moment Relaxation

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fcf253c2-cd48-4b79-a1bb-21f45aad44c4 · outbound

This paper cites Progress in symmetry preserving robot perception and control through geometry and learning.Frontiers in Robotics and AI, 9:232, 2022.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Progress in symmetry preserving robot perception and control through geometry and learning.Frontiers in Robotics and AI, 9:232, 2022

Reference 12

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c222c100-5a87-441a-b647-58cce9c522d0 · outbound

This paper cites Lie algebraic cost function design for control on Lie groups.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Lie algebraic cost function design for control on Lie groups

Reference 13

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 87b88ddd-39f0-4a33-80c4-e7ca798198d8 · outbound

This paper cites An error-state model predictive control on connected matrix Lie groups for legged robot control.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise An error-state model predictive control on connected matrix Lie groups for legged robot control

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7a99c2e0-0a64-4651-8418-10ce76776788 · outbound

This paper cites Riemannian Direct Trajectory Optimization of Rigid Bodies on Matrix Lie Groups.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Riemannian Direct Trajectory Optimization of Rigid Bodies on Matrix Lie Groups

Reference 15

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Unavailable: canonical work link unavailable.

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Observation ca13c037-1738-4f49-b45a-742dcd08dd73 · outbound

This paper cites Legged robot state estimation in slippery environments using invariant extended kalman filter with velocity update.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Legged robot state estimation in slippery environments using invariant extended kalman filter with velocity update

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 18634a81-0d6f-46d6-82c3-c5a7d90e6af4 · outbound

This paper cites Fully proprioceptive slip- velocity-aware state estimation for mobile robots via invariant kalman filtering and disturbance observer.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Fully proprioceptive slip- velocity-aware state estimation for mobile robots via invariant kalman filtering and disturbance observer

Reference 17

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1f4f4509-32a7-4b06-9462-30354f232ee2 · outbound

This paper cites Legged Robot State Estimation within Non-inertial Environments.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Legged Robot State Estimation within Non-inertial Environments

Reference 18

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no resolver link, observed 2026-08-07T12:04:03.752674Z

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Unavailable: canonical work link unavailable.

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Observation fd2d26d2-350b-4a81-93a4-524a3d33e4cd · outbound

This paper cites GMKF: Generalized Moment Kalman Filter for Polynomial Systems with Arbitrary Noise.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise GMKF: Generalized Moment Kalman Filter for Polynomial Systems with Arbitrary Noise

Reference 19

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no resolver link, observed 2026-08-07T12:04:03.912108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:04:03.912108Z digest=sha256:362fb033e3026d6270fcd6c7fa5c4146a29ec0440cdd5e02a60e666657796f50

Observation 2313e26f-2897-455f-b1f1-9d2e8e7a79d0 · outbound

This paper cites Bayesian filtering: From kalman filters to particle filters, and beyond.Statistics, 182(1):1–69, 2003.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Bayesian filtering: From kalman filters to particle filters, and beyond.Statistics, 182(1):1–69, 2003

Reference 20

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raw_fallback, observed 2026-08-07T12:04:21.225908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 53255b26-65e9-4bfd-aad6-77c175112f95 · outbound

This paper cites Recursive bayesian estimation using gaussian sums.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Recursive bayesian estimation using gaussian sums

Reference 21

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raw_fallback, observed 2026-08-07T12:04:21.015786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:04.335250Z digest=sha256:673aeedc42fd11a5a840e5212a0b802d0a4a51af9844ff79ddc40de8589f93fc

Observation f86a24fd-63ec-4f0f-918b-307db022d6d5 · outbound

This paper cites Nonlinear bayesian estimation using gaussian sum approximations.IEEE transactions on automatic control, 17(4):439–448, 2003.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Nonlinear bayesian estimation using gaussian sum approximations.IEEE transactions on automatic control, 17(4):439–448, 2003

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:04.489856Z digest=sha256:645acc116f778ce3ea822ac14d203ef5dff9f6eb0bc4be92ea2f0d4a55bec810

Observation 305b9d53-337b-4010-b3f9-9cd46341ca87 · outbound

This paper cites Bayes theorem and digital realizations for non-linear filters.Journal of the Astronautical Sciences, 17:80, 1969.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Bayes theorem and digital realizations for non-linear filters.Journal of the Astronautical Sciences, 17:80, 1969

Reference 23

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raw_fallback, observed 2026-08-07T12:04:20.596332Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:04.649586Z digest=sha256:d13818fb0b85596d72b3b684abc3caaf3b9eac8be6f2f199747eeef5764dac5e

Observation 404272fd-1df0-4d33-a3a9-74f5443b224c · outbound

This paper cites Digital synthesis of non-linear filters.Automatica, 7(3): 287–298, 1971.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Digital synthesis of non-linear filters.Automatica, 7(3): 287–298, 1971

Reference 24

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raw_fallback, observed 2026-08-07T12:04:20.398396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:04.885475Z digest=sha256:c7cd2e44e4fc6973538bcfc36899d12af8f9bb99d19e3cad2adc1e9dfe416a2d

Observation d96419d8-7dd0-4002-8200-8cbf63bced5b · outbound

This paper cites Non-gaussian state—space modeling of nonstationary time series.Journal of the American statistical association, 82(400):1032–1041, 1987.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Non-gaussian state—space modeling of nonstationary time series.Journal of the American statistical association, 82(400):1032–1041, 1987

Reference 25

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raw_fallback, observed 2026-08-07T12:04:20.217074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:04.953311Z digest=sha256:0426e116815049a66b5ea9c084dac1839609641278ebfa3c3dbacb186020f3f2

Observation e11ccd01-98cc-464c-b1c3-7ca6a584e186 · outbound

This paper cites Recursive bayesian estimation using piece-wise constant approximations.Automatica, 24(6):789–801, 1988.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Recursive bayesian estimation using piece-wise constant approximations.Automatica, 24(6):789–801, 1988

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-07T12:04:20.048069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8fcffe27-d8ae-4278-b4b8-92cf8eccddd6 · outbound

This paper cites Particle filtering.IEEE signal processing magazine, 20(5):19–38,.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Particle filtering.IEEE signal processing magazine, 20(5):19–38,

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-07T12:04:19.866992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f910f864-322c-4859-ab66-5d6b743de7c8 · outbound

This paper cites an unresolved cited work.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Unresolved cited work

Reference 28

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unresolved
raw_fallback, observed 2026-08-07T12:04:19.519377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:05.244309Z digest=sha256:12aacb86cc9310907c2e952b99d8934ca939121d11ef49aa73fa84cd91d3e55c

Observation abc8c562-bc5a-4f6c-983b-5a7a091cf3b1 · outbound

This paper cites Probabilistic robotics.Communications of the ACM, 45(3):52–57, 2002.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Probabilistic robotics.Communications of the ACM, 45(3):52–57, 2002

Reference 29

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raw_fallback, observed 2026-08-07T12:04:19.141599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:05.403019Z digest=sha256:c60efc333e88f106208ad6e1d48a34a31cf53a1b6025bf9781bfcd34bff87609

Observation 2f07df84-24b7-458b-b44a-3b518ef04b61 · outbound

This paper cites Observability-based rules for designing consistent EKF SLAM estimators.International Journal of Robotics Research, 29(5):502–528, 2010.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Observability-based rules for designing consistent EKF SLAM estimators.International Journal of Robotics Research, 29(5):502–528, 2010

Reference 30

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raw_fallback, observed 2026-08-07T12:04:18.798639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:05.561759Z digest=sha256:aca078d85385e23559f4dc655af821a6fff5e7031e26e0de3c412c7ee685f696

Observation b7baff68-ece3-44bd-9c70-626201b448c9 · outbound

This paper cites The invariant extended Kalman filter as a stable observer.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise The invariant extended Kalman filter as a stable observer

Reference 31

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raw_fallback, observed 2026-08-07T12:04:18.503742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:05.663693Z digest=sha256:257fa7f0e6758e1cc0af9977dfdd0b180ac292b0e6920436362ac6ff23236daa

Observation e24f7bde-0b9a-47b7-a20d-6809ea73d28f · outbound

This paper cites Invariant Kalman filtering.Annual Review of Control, Robotics, and Autonomous Systems, 1:237–257, 2018.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Invariant Kalman filtering.Annual Review of Control, Robotics, and Autonomous Systems, 1:237–257, 2018

Reference 32

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raw_fallback, observed 2026-08-07T12:04:18.165487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:05.803499Z digest=sha256:1234d439717eb9d7e961f391fe91c1574c1b03bb97186187446e28b432da1319

Observation 248cbf25-6bb2-40d3-8681-3d61773e25ee · outbound

This paper cites Equivariant filter (eqf).IEEE Transactions on Automatic Control, 2022.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Equivariant filter (eqf).IEEE Transactions on Automatic Control, 2022

Reference 33

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raw_fallback, observed 2026-08-07T12:04:17.855290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:05.962077Z digest=sha256:b42a76228a5649ee1b2c441287b6736b2a128f62c9d6922e1391e11176a3cdac

Observation ec707edc-9ab1-4701-92dd-38d29cdea208 · outbound

This paper cites Moment-based Kalman Filter: Nonlinear Kalman Filtering with Exact Moment Propagation.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Moment-based Kalman Filter: Nonlinear Kalman Filtering with Exact Moment Propagation

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:04:10.270577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:06.122782Z digest=sha256:49a7baec07515a1a73d8f7c01776409c2c838125ea9e4c9f9ee7a435d75e2331

Observation bacfe868-4c32-4a24-83e9-0ad89e90388b · outbound

This paper cites Moment-Based Exact Uncertainty Propagation Through Nonlinear Stochastic Autonomous Systems.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Moment-Based Exact Uncertainty Propagation Through Nonlinear Stochastic Autonomous Systems

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T12:04:06.143716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:04:06.143716Z digest=sha256:81536d71e4634bdf29feac3b7ae39c379f5210f9d7563e8e3a4d1cd58dc5c2f2

Observation 3e96f155-41df-4e73-b218-a0a376d25110 · outbound

This paper cites Global optimization with polynomials and the problem of moments.SIAM Journal on optimization, 11(3):796–817, 2001.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Global optimization with polynomials and the problem of moments.SIAM Journal on optimization, 11(3):796–817, 2001

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:04:17.666072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:06.251853Z digest=sha256:bb649f3a3b54474099aeb0218c8636ca0a5479173bceed260112e096d0f4d81f

Observation 092bd9b1-eff3-45bf-bc4d-a3594595a859 · outbound

This paper cites Planar pose graph optimization: Duality, optimal solutions, and verification.IEEE Transactions on Robotics, 32 (3):545–565, 2016.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Planar pose graph optimization: Duality, optimal solutions, and verification.IEEE Transactions on Robotics, 32 (3):545–565, 2016

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:04:17.350908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:06.403899Z digest=sha256:0d4f9727ea411f20dc4b90a88160073879f2fffb47751b63c00136dccc1f74f7

Observation d6bf754f-732d-4df3-b77d-99a676c543af · outbound

This paper cites SE-Sync: A certifiably correct algorithm for synchronization over the special euclidean group.International Journal of Robotics Research, 38(2-3):95–125, 2019.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise SE-Sync: A certifiably correct algorithm for synchronization over the special euclidean group.International Journal of Robotics Research, 38(2-3):95–125, 2019

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:04:17.061525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:06.624214Z digest=sha256:d8684d9dee1dfee3c71ded9a710f552473fa6084f9e0948fcc4e79b5d699ae57

Observation 4fd101ff-bca1-4018-a6c3-073bcab99b63 · outbound

This paper cites Simultaneous multiple rotation averaging using Lagrangian duality.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Simultaneous multiple rotation averaging using Lagrangian duality

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:04:16.749598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:06.808945Z digest=sha256:4b455a6ddc3e51d63b18624e4677cbcc31563e5ea5081b5563ccc5c3dff6a058

Observation b9580745-9848-46d7-943e-29c034e0f9de · outbound

This paper cites Rotation averaging with the chordal distance: Global minimizers and strong duality.IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(1):256–268, 2019.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Rotation averaging with the chordal distance: Global minimizers and strong duality.IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(1):256–268, 2019

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:04:16.555559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:07.053459Z digest=sha256:213da318d29219cb990f00ba5763a45e193942ccc4c35e83f5da44522f835373

Observation f50caf39-6240-4baa-9a09-b36a4a108c44 · outbound

This paper cites A qcqp approach to triangulation.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise A qcqp approach to triangulation

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:04:16.309463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:07.259448Z digest=sha256:2134ff8bc3b6b27ef6b6746cacce5266ed8acaf1c682d91fe0087b9354cd6488

Observation d18bca1b-92d2-4001-a624-7c05e7f34cff · outbound

This paper cites A convex relaxation to compute the nearest structured rank deficient matrix.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise A convex relaxation to compute the nearest structured rank deficient matrix

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:04:16.126037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:07.415860Z digest=sha256:bd8907aa826801b5d8d6d2d10a3ff1eaa6c9b89d47639386835cf2cb123c26ad

Observation 128e1d27-755f-48b7-943d-2c03ffbda589 · outbound

This paper cites Convex global 3D registration with Lagrangian duality.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Convex global 3D registration with Lagrangian duality

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:04:15.938733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:07.589039Z digest=sha256:d3b3e0f4fc1542bd12900ee17a94147792bb4e1d20ec305b6b5b3585e3fb5389

Observation 2344dd59-beb3-47f1-9a99-78d2769096ab · outbound

This paper cites Global registration of multiple point clouds using semidefinite programming.SIAM Journal on Optimization, 25(1):468–501, 2015.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Global registration of multiple point clouds using semidefinite programming.SIAM Journal on Optimization, 25(1):468–501, 2015

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:04:15.688699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:07.783269Z digest=sha256:b27a90a3719864a5d806da49994fc8abc307dff125cd2960400dad4acbc3631f

Observation 3e38859e-bc82-4149-9fa7-67236a64b8ac · outbound

This paper cites Point reg- istration via efficient convex relaxation.ACM Transactions on Graphics (TOG), 35(4):1–12, 2016.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Point reg- istration via efficient convex relaxation.ACM Transactions on Graphics (TOG), 35(4):1–12, 2016

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:04:15.545493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:07.944460Z digest=sha256:4a8746d2c7d25d5fdd917c179eea30e64ffd27ae7b609c0931fcdbb70c8245b2

Observation 653e3d33-6744-42af-a545-6c93c0601fcf · outbound

This paper cites Global optimality for point set registration using semidefinite programming.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Global optimality for point set registration using semidefinite programming

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:04:15.295923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:08.113803Z digest=sha256:a23be4eeaec9ca0790824145c8ce39740558872a3a1810e8811b1b9d3e9b09bc

Observation 1cbdf482-bd55-41c8-8273-6b3f74eb29c7 · outbound

This paper cites Cvxpnpl: A unified convex solution to the absolute pose estimation problem from point and line correspondences.Journal of Mathematical Imaging and Vision, 65(3):492–512, 2023.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Cvxpnpl: A unified convex solution to the absolute pose estimation problem from point and line correspondences.Journal of Mathematical Imaging and Vision, 65(3):492–512, 2023

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:04:15.073295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:08.314915Z digest=sha256:ee9396c3f576530e13e22f39f14534f3d6298ac3e4d9a6c23c009c55e07913db

Observation 022a1745-a743-416c-b071-e9fada9c1871 · outbound

This paper cites Optimal pose and shape estimation for category- level 3D object perception.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Optimal pose and shape estimation for category- level 3D object perception

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:04:14.733846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:08.444862Z digest=sha256:7e1303b5157236f48af01b76ea58aaee6b36c0b88dbf248d78285f6fec5ea642

Observation b3124fe5-147c-437a-b59c-8e666c3faea9 · outbound

This paper cites In perfect shape: Certifiably optimal 3D shape reconstruction from 2D landmarks.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise In perfect shape: Certifiably optimal 3D shape reconstruction from 2D landmarks

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:04:14.472501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:08.584508Z digest=sha256:6657403b2281b8b7aca31dbd4fcaffdc0798abcc3066501324937ab8c12d9605

Observation b21458a6-3d79-444b-b5db-ab9994660300 · outbound

This paper cites On the local stability of semidefinite relaxations.Mathematical Programming, pages 1–35, 2020.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise On the local stability of semidefinite relaxations.Mathematical Programming, pages 1–35, 2020

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:04:14.213085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:08.691546Z digest=sha256:433e345302cb2cc6288e3f80b820edaec7aa70f73e68357254f0a1bb11f1dcf5

Observation b304624e-0247-40d9-95c1-cb07cc615154 · outbound

This paper cites The geometry of sdp-exactness in quadratic optimization.Mathematical programming, 182(1-2):399–428, 2020.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise The geometry of sdp-exactness in quadratic optimization.Mathematical programming, 182(1-2):399–428, 2020

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:04:13.997273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:08.772178Z digest=sha256:ee7869bd6a2cacbaa0c88ff65950f422fef54da75cc54a02df72d898e37607e0

Observation e817d0b3-0f68-4227-805e-cb13ae4290ab · outbound

This paper cites Estimation contracts for outlier-robust geometric perception.Foundations and Trends (FnT) in Robotics, 2023.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Estimation contracts for outlier-robust geometric perception.Foundations and Trends (FnT) in Robotics, 2023

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:04:13.777809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:08.862088Z digest=sha256:ea8f2eab248a1b812248758ff59a184b37af11c57ae7ed734006b5ea60a94e3d

Observation c75386ce-793f-4def-af32-d22631bb1dcd · outbound

This paper cites Convergence of best entropy estimates.SIAM Journal on Optimization, 1(2):191–205, 1991.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Convergence of best entropy estimates.SIAM Journal on Optimization, 1(2):191–205, 1991

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:04:13.626031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:08.978372Z digest=sha256:4b6223ebd2fc27c36e936cf650104470714e7cf35361f5418a44936d8bef625e

Observation cac93570-efd5-44de-991b-483015f8bc1c · outbound

This paper cites Maximum entropy in the problem of moments.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Maximum entropy in the problem of moments

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:04:13.383429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:09.102137Z digest=sha256:3db09dc229c5082c5ebc659961ee354eb89cb2d69a850d2b450318ec2c6a1225

Observation f11b983a-2935-4873-abf2-048c22bb79d4 · outbound

This paper cites Tobenkin, Frank Permenter, and Alexandre Megretski.SPOTLESS: Conic and Polynomial Programming Toolbox.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Tobenkin, Frank Permenter, and Alexandre Megretski.SPOTLESS: Conic and Polynomial Programming Toolbox

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:04:13.162059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:09.156112Z digest=sha256:daa53bdbd20b1ebb1b4dd1c3570fae249d6a4f6011c6c08c66a6d06926b08b8a

Observation 0c683a0c-3727-4294-b818-f02310ae46d2 · outbound

This paper cites an unresolved cited work.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:04:12.820948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:09.259569Z digest=sha256:dddab29a6e9212c487f88424ea048c0cd914b652f093b456e3c2cccf52f9d96a

Observation 0f647069-5ccf-4ecf-8049-f2217b76f4d0 · outbound

This paper cites URL https://docs.mosek.com/ MOSEKModelingCookbook-letter.pdf.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise URL https://docs.mosek.com/ MOSEKModelingCookbook-letter.pdf

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:04:12.607694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:09.362452Z digest=sha256:f43114ddf9b27dac9feee524a1890a257b241f7204f25540a8564b66272066f0

Observation cfd92b83-4d44-4ef4-866a-5133889712a4 · outbound

This paper cites A fresh look at the Kalman filter.SIAM review, 54(4):801–823, 2012.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise A fresh look at the Kalman filter.SIAM review, 54(4):801–823, 2012

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:04:12.370585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:09.457745Z digest=sha256:03e986cb691cb629b1ad2221d8e9609398c28a8f86840390b18456830b01e333

Observation e1098479-e24a-402e-8f08-7edd71beb20f · outbound

This paper cites The banana distribution is gaussian: A localization study with exponential coordinates.Robotics: Science and Systems VIII, 265:1, 2013.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise The banana distribution is gaussian: A localization study with exponential coordinates.Robotics: Science and Systems VIII, 265:1, 2013

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:04:12.058052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:09.542725Z digest=sha256:c24950019baeaa764017321f0b6e2dd9ca1bacfbcec2768ddad796b395691394

Observation d5463756-6482-4d5b-a225-48111016c3ec · outbound

This paper cites Data- association-free landmark-based slam.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Data- association-free landmark-based slam

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:04:11.734983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:09.618689Z digest=sha256:ec5b39e6ceb5393378fdfe1c74d1953af23f77ed156b9ea45059eedf0df943dc

Observation 26b041b5-c29e-4839-8d77-e501b3d70956 · outbound

This paper cites Unscented Kalman filtering on Lie groups.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Unscented Kalman filtering on Lie groups

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:04:11.459906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:09.726895Z digest=sha256:373ab3609046748f5018e3b750474a488d0243f5f5b15cd028e1c9e13e0f2408

Observation ba78ef9b-711e-4130-b7dc-a1cdda292691 · outbound

This paper cites Cambridge University Press, 2015.

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Cambridge University Press, 2015

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:04:11.112295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:04:09.878205Z digest=sha256:48a6bfb5be0f490859c80252306a7a4c576f5e5014e03888d3c368c19f9313ad

Pith citing papers

Observation 2aad91f5-5c85-43a6-92fd-780d80c76d31 · inbound

Embedding Hybrid Systems into Continuous Latent Vector Fields cites this paper.

Embedding Hybrid Systems into Continuous Latent Vector Fields Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-03T04:17:37.076978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T14:04:40.078357Z digest=sha256:06515256cb11a13d04bd8f7fa335894a4e4124480a75c6ffb0659048b3e1880c