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Paper Citation Record · LEDGER

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise

As of 16 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 2026-08-16T06:30:59.297886+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

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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

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source=pdf_text observed=2026-08-07T12:04:02.548628Z digest=sha256:ccb2c821d200a850afa372f70f91c81307fbcd45beafc18ef5a1d307d181c18c

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:04:02.647093Z digest=sha256:925df603d9b73c48da00bf4d78619a2c1c9d3e2c68a82aceb55af7846e6e56e8

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 2026-08-16T06:30:59.297886+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.

source=pdf_text observed=2026-08-07T12:04:02.820690Z digest=sha256:ed0da64e4b74e24954923056f3c23acbb222d967a20ce2760f9b8befa1a1c517

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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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no resolver link, observed 2026-08-07T12:04:03.237064Z

Source-reported events for the cited work

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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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:04:03.752674Z digest=sha256:dde063e1358a62e160b2d19acd1cb4bb1cddb6764ce4f849996656b8ff34550b

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=sha256:93b4795daa63777a993720c4e878496e940c50efa47d6c6e3bb25cf1b3d98a66

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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

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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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raw_fallback, observed 2026-08-07T12:04:20.806378Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:04.489856Z digest=sha256:be081725b13b626220d9f8eba65aa313f614bec3d20800d047f60b5772a832e4

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:04.649586Z digest=sha256:9c3e747afb6883f6b931ac62c0a24d4f4ac4fd14e86caebb766a767ef9b0b1e8

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:04.885475Z digest=sha256:4bfbf7ebaeacde2bcb6ac49bdcd9dc0bf48fe8e4ff1c78c63d75c1226701d4b6

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:04.953311Z digest=sha256:295784acc838d6547041611482ee392da83fe1bdd8c1fae4e3bbbc9b17713a75

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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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:05.013814Z digest=sha256:124fbef51de547978b7cef24cb657f1d2d0dc84f62375400b423256cfb06f21b

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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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:05.129196Z digest=sha256:9b3220cd23f20e8181fb8ef794f077acf979749a39e5eec483c6919fd5a213bb

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:05.244309Z digest=sha256:9fe5dc5b9a82ff9c7b4b15aeba4d06e82704621da172074903544a73b4a0873e

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:05.403019Z digest=sha256:fd93b7fd7e24ad0c8aeb9d836a11f958119e40b4da4f0669e92dfd264a9cb855

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:05.561759Z digest=sha256:ce35ae2ba612ec24535abae21664a33326c8992a3b33212d3fef6143cf633259

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:05.663693Z digest=sha256:9e116804432194f4705546f94f5f6f8da479dbdc2aebd6dd467a176398f8dc3b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:05.803499Z digest=sha256:e5edb01e9feb751dcca6a712e58a7457682172ddbd7354127bb911b1619a71ff

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:05.962077Z digest=sha256:29e30e2010509bb94a7778bc8e15e3a19d2dfc0afe20a84870c647a09e20a818

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

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:06.122782Z digest=sha256:0199c1d3f65785c83d5f31b198e45b61aab4874854de725e5553c70639f58f3b

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:c2b7f46911649bb7df2e62590295b61781559e7570b669d2091ac99316712aa7

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:06.251853Z digest=sha256:8e2f28bc6c210b9ce7f061368b2216eb8ebaa0e84d8ecf0ee7c1db578dd1217c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:06.403899Z digest=sha256:7f545646c614cd0245360fa0c11266847fefa1c872b40b7c957ccfc3bc7e3dcf

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:06.624214Z digest=sha256:605a1eaafbf5ce16b5acf7e576e8fe46c59b40338311590d6218af3e91ec8fb5

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:06.808945Z digest=sha256:3e9fc91be8268ffeaaa81820e3f823103862ee5715d9f35853614e511d58de2c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:07.053459Z digest=sha256:bfd3c7f6407e89697b90223baf8cc8d3afc7311510b856133502cbe60338aa8f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:07.259448Z digest=sha256:2d5b8f31d2fffa5a86a0a8e9a09256021b3f62a2a10a70a0990402ad501e235f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:07.415860Z digest=sha256:64a482c92dcb51c494ac35e6f6bfb940ec4330bee134d4c1b5e92e3f3808513b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:07.589039Z digest=sha256:cc1385ba6a7c6791b5d44ed89400babed153bef1f708b18b817376276e624b50

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:07.783269Z digest=sha256:5e011462ce0a0e0b3ab6ffb3a44f3d394be9b9c7b8f7fd526a0acf5a887e7134

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:07.944460Z digest=sha256:670b59b8c65e080a4b79a297e680809e3d8daeefd5725e138af3c716c915b704

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:08.113803Z digest=sha256:c7ecaaff3c1526ac0425c9a421f6466c88657a2f1afeaf0471d545a45538b748

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:08.314915Z digest=sha256:2f2fde76b091e00fccfcee90a251f1665ceb2d335ea074ce32937ea2ed2caea2

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:08.444862Z digest=sha256:70415a66fda851694ae4b46867ae40c256e5ff6844a43df889e8cbfbfa6cdec5

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:08.584508Z digest=sha256:ad82ec218941b98ab702b20dd453a7eace8f8bbd545fc4b08eccb656d9f8d4b7

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:08.691546Z digest=sha256:5add54939415da03a53d3c6e79c620a5c3f943ee7f9831c2832c7cf0a14ffa9b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:08.772178Z digest=sha256:7a4f0ff32bca039db263bde0a02c1a51ddbfbe9aa6e18ce3f5a8a4188aadedba

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:08.862088Z digest=sha256:1303dbef8ceb2da0fe38ea9d543310a256034e4fa171db6c14dccef9f2fc61bc

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:08.978372Z digest=sha256:77f41eb62461db56fa595a7037c77f29a6a5762d59439dd2740b50a1fd098711

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:09.102137Z digest=sha256:8b256d4c33e60d6cd636415f39783dfd876a2c14badf69a90cd6e353ebe385ab

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:09.156112Z digest=sha256:4b85d4e7161a8934860c8166222b6dadcda803cce43c147aa78c786ba60d6156

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:09.259569Z digest=sha256:b2dee727571239569414162743c9dfe9042f6f0e9363fb0909cbcea2c6d88785

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:09.362452Z digest=sha256:90d0443c2d6ab9e52253092fc308a91ccc51ae1bd68ed66a2f696e0acb573891

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:09.457745Z digest=sha256:d3b6158f00d0fdb2fe0116fd94504805181de485733ab68a183a13350c445754

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:09.542725Z digest=sha256:64a2e8378cd8b6c267b529685b340515c221e30dd09ef3675f2e0b71dfff7bbe

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:09.618689Z digest=sha256:067c00a1bdd67fb26e5c5cde3d1248c33222cbd75ca1039959d632467368c931

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:09.726895Z digest=sha256:9bfe934aa9a2b6205aac4197ac14cccfd16c5768c2f189a466fdd6a26ac63515

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:04:09.878205Z digest=sha256:3f9ca4cce8134b9abf7de646a42124c00d00249f04e753bbf4f10ebd19b8ae1d

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-06-27T14:04:40.078357Z digest=sha256:0e7ad4b07e2e5f5992710ada833d931039e083ed275f3a792879e39279af808b