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Paper Citation Record · LEDGER

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs

As of 13 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2507.09999.

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

pith.paper-citation-record.v1
2507.09999 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:51:28.181635Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

61 of 61 outbound references displayed

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  • verified fuzzy57
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fae507b0-6086-46bd-9460-459c429aed3e · outbound

This paper cites Kalman filter for tracking network dynamic,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Kalman filter for tracking network dynamic,

Reference 1

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Observation 7f49ffce-6840-48e1-9398-31dedff76682 · outbound

This paper cites Newman, Networks: An Introduction.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Newman, Networks: An Introduction

Reference 2

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Observation 95ef851d-cde8-4937-b2be-acda6bf447f5 · outbound

This paper cites The emerging field of signal processing on graphs: Ex- tending high-dimensional data analysis to networks and other irregular domains,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs The emerging field of signal processing on graphs: Ex- tending high-dimensional data analysis to networks and other irregular domains,

Reference 3

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Source-reported events for the cited work

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Observation c7b6e447-f753-4db6-bcec-e57a0c7ad6c5 · outbound

This paper cites Discrete signal processing on graphs: Frequency analysis,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Discrete signal processing on graphs: Frequency analysis,

Reference 4

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Observation f5fb7020-d257-4ed8-a0f4-9d3be957b1ed · outbound

This paper cites Graph signal processing: Overview, challenges, and ap- plications,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Graph signal processing: Overview, challenges, and ap- plications,

Reference 5

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Source-reported events for the cited work

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Observation 9f878fd0-20a8-4e7e-86d2-7755c42a21d1 · outbound

This paper cites Identification of edge disconnections in networks based on graph filter outputs,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Identification of edge disconnections in networks based on graph filter outputs,

Reference 6

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Source-reported events for the cited work

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Observation 9ae14172-a313-4066-8f6f-146f004079f0 · outbound

This paper cites From smart to intelligent utility meters in natural gas distribution networks,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs From smart to intelligent utility meters in natural gas distribution networks,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation c8a8cd72-6ac8-4812-989f-df34680a8983 · outbound

This paper cites Sparse graphical linear dynamical systems,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Sparse graphical linear dynamical systems,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 2b6a889a-4ab0-4182-b2eb-f7c72801d65e · outbound

This paper cites The Kalman filter,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs The Kalman filter,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 96dbdc6f-176e-49df-b4ce-fc7fa528ff49 · outbound

This paper cites Durbin and S.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Durbin and S

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation cc582a67-81e6-4359-99a1-0476c99a590e · outbound

This paper cites Kalman filtering over graphs: Theory and applications,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Kalman filtering over graphs: Theory and applications,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 5ccb77e2-8421-49fb-b7ac-4af299770bad · outbound

This paper cites Traffic matrix tracking using Kalman filters,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Traffic matrix tracking using Kalman filters,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 208da5f5-d427-4371-b564-8cff49d5f943 · outbound

This paper cites 2-dimensional finite impulse response graph-temporal filters,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs 2-dimensional finite impulse response graph-temporal filters,

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 75979aac-5cee-4dc3-8cbc-edf60ce7c3e8 · outbound

This paper cites Observing and tracking bandlimited graph processes from sampled measurements,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Observing and tracking bandlimited graph processes from sampled measurements,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation dfa313b4-0a1c-4e1c-bdfe-bacec687bea4 · outbound

This paper cites Extended Kalman filter for graph signals in nonlinear dynamic systems,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Extended Kalman filter for graph signals in nonlinear dynamic systems,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation d4b3a82a-e27e-44f5-b250-22336a6c6852 · outbound

This paper cites GSP-KalmanNet: Tracking graph signals via neural-aided Kalman filtering,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs GSP-KalmanNet: Tracking graph signals via neural-aided Kalman filtering,

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation f30aeea0-1608-45fb-bc51-6b5f3f586fbc · outbound

This paper cites Sparse Bayesian estimation of parameters in linear-Gaussian state-space models,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Sparse Bayesian estimation of parameters in linear-Gaussian state-space models,

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation d7ef4829-eea3-4e31-beca-c32d0d0f2015 · outbound

This paper cites Graphical inference in linear-Gaussian state-space models,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Graphical inference in linear-Gaussian state-space models,

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation f4a30bf6-a203-4a79-b486-f7246fdab061 · outbound

This paper cites GraphGrad: Efficient estimation of sparse polynomial representations for general state-space models,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs GraphGrad: Efficient estimation of sparse polynomial representations for general state-space models,

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 74ea1923-b1bf-4e5c-ba08-69b699200dd3 · outbound

This paper cites Discovering structure by learning sparse graphs,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Discovering structure by learning sparse graphs,

Reference 20

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation ccb97a07-5941-49c9-9fac-b2af617c8916 · outbound

This paper cites Efficient graph Laplacian estimation by proximal Newton,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Efficient graph Laplacian estimation by proximal Newton,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation e2eb8be2-d4b3-434a-900e-18658a87c872 · outbound

This paper cites Graph learning from data under Laplacian and structural constraints,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Graph learning from data under Laplacian and structural constraints,

Reference 22

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation fbbc0ddc-a06e-425f-ba91-7ac75a03cbd7 · outbound

This paper cites Struc- tured graph learning via laplacian spectral constraints,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Struc- tured graph learning via laplacian spectral constraints,

Reference 23

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 32b39b60-022e-4cb8-9911-1632ed2b5679 · outbound

This paper cites Learning Laplacian matrix in smooth graph signal representations,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Learning Laplacian matrix in smooth graph signal representations,

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation aa2daa64-9e6c-4019-80ac-e602b2619ff8 · outbound

This paper cites How to learn a graph from smooth signals,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs How to learn a graph from smooth signals,

Reference 25

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 864a10bc-b2ea-4162-b649-41f2cb44ea72 · outbound

This paper cites Network inference via the time-varying graphical lasso,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Network inference via the time-varying graphical lasso,

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 0f35e736-6d7d-4b82-b512-97854df6b7ff · outbound

This paper cites Semi-blind inference of topologies and dynamical processes over dynamic graphs,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Semi-blind inference of topologies and dynamical processes over dynamic graphs,

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 2f95683b-1298-4022-aa99-580dbcdc1a76 · outbound

This paper cites Online identification of directional graph topologies capturing dynamic and nonlinear dependencies,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Online identification of directional graph topologies capturing dynamic and nonlinear dependencies,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:28.660942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation e424e457-fe36-4554-9f5c-aa71bce5f50d · outbound

This paper cites Online joint nonlin- ear topology identification and missing data imputation over dynamic graphs,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Online joint nonlin- ear topology identification and missing data imputation over dynamic graphs,

Reference 29

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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 2026-08-13T06:32:02.005865+00:00.

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Observation 9d287321-4d45-46fb-a1d1-0191fa06c70b · outbound

This paper cites Graph-Dictionary Signal Model for Sparse Representations of Multivariate Data.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Graph-Dictionary Signal Model for Sparse Representations of Multivariate Data

Reference 30

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 196f907a-d5b1-44af-a590-470bd907ff2a · outbound

This paper cites Graph Kalman Filters.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Graph Kalman Filters

Reference 31

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 245ca1ce-65a1-4e0f-9bcf-a52537d18f71 · outbound

This paper cites Learning time varying graphs,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Learning time varying graphs,

Reference 32

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation e305b099-4942-49e4-a560-b65faee88edd · outbound

This paper cites Online directed graph estimation for dynamic network topology inference,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Online directed graph estimation for dynamic network topology inference,

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-06T17:51:28.622768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation f3ba67d4-fe60-4318-91a7-9c2fde8774ab · outbound

This paper cites Generating high quality pseudo-measurements to keep state estimation capabilities,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Generating high quality pseudo-measurements to keep state estimation capabilities,

Reference 34

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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 2026-08-13T06:32:02.005865+00:00.

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Observation 73243a76-2c1a-4b3c-af02-3e0d8e96257c · outbound

This paper cites Unscented filtering and nonlinear estimation,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Unscented filtering and nonlinear estimation,

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-06T17:51:28.596563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T17:51:28.073380Z digest=sha256:9b58b8f2996e79c86f08f1e8f4c55ac611b9f2bf903e6df4d08ed9c6e35ef64c

Observation 9253f7cf-4e32-4069-bccf-39edccbb6b05 · outbound

This paper cites Cubature Kalman filters,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Cubature Kalman filters,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:28.583592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T17:51:28.077745Z digest=sha256:6eff4c5f63cc67e4b6961b42a0564f96c02d1b0bec06ec923b2b65293d3cee5b

Observation bb07a053-2412-4cc4-a5ce-61f1f8a5bbe8 · outbound

This paper cites Ortega, Introduction to Graph Signal Processing.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Ortega, Introduction to Graph Signal Processing

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:28.569550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T17:51:28.081607Z digest=sha256:5436d5b4ff1c3a574ee2fdc05b6e1a50835309a6dd1b29df72eec5cb05df13e0

Observation 3ddab737-f6fc-4174-a7a6-ea4e219ee3b6 · outbound

This paper cites A user guide to low-pass graph signal processing and its applications: Tools and applications,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs A user guide to low-pass graph signal processing and its applications: Tools and applications,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:28.556635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T17:51:28.085557Z digest=sha256:919a7a7ad8270169831badfe4214a89413a180c7c0e4ccc585a494f4d91144cc

Observation 6980549c-f7e0-4397-86a2-e1fff3b0ff55 · outbound

This paper cites State estimation in partially observable power systems via graph signal processing tools,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs State estimation in partially observable power systems via graph signal processing tools,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:28.543692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T17:51:28.089422Z digest=sha256:9ede448a3ebcc396cf3c894c4a02504eba24facdf050cc955922c3a8aefb8758

Observation a98ad192-7f23-40ac-93e5-7b83c8eb16a2 · outbound

This paper cites An approach to target tracking,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs An approach to target tracking,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:28.530619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T17:51:28.093400Z digest=sha256:a187d5b1b8d06694aa874fb79000f5bd9e71e4ca7e984259fa1c448a8621871e

Observation 21bfdaed-7058-44c1-88a6-dd3ff40d69ca · outbound

This paper cites The Kalman filter,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs The Kalman filter,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:28.517884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T17:51:28.097757Z digest=sha256:697b2b7df68e23f3dc0245e265a763d95558689b1361bea4f00958512635d37f

Observation 4891b9b6-8ac4-4c70-a50f-4845fa3a33e4 · outbound

This paper cites Graph signal processing for machine learning: A review and new perspectives,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Graph signal processing for machine learning: A review and new perspectives,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T17:51:28.102723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:51:28.102723Z digest=sha256:7e14df111d34cc7901a4c1130e6da3f3cd43305471fea2aa08471704d81209fb

Observation 29dd5093-0f67-4b44-8265-a92552dab2c9 · outbound

This paper cites Detection of false data injection attacks in power systems with graph Fourier transform,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Detection of false data injection attacks in power systems with graph Fourier transform,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:28.496121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T17:51:28.106961Z digest=sha256:e51a72bd82f8a58a3b9c80458b11da28bd1fe44221fde382ad9b20b4c206d861

Observation 0379ce63-1a82-410b-a201-6c93292537c8 · outbound

This paper cites Bridging hydraulics and graph signal processing: A new perspective to estimate water distribution network pressures,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Bridging hydraulics and graph signal processing: A new perspective to estimate water distribution network pressures,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:28.483866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T17:51:28.111412Z digest=sha256:d347b664735e94a054a3102223ff28eb0aab6332175fc9a781c7c585f8f7e6e9

Observation 9ebc0b2f-4db6-4e32-b106-0bea5b4d18b4 · outbound

This paper cites Characterizing diffusion processes in city traffic,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Characterizing diffusion processes in city traffic,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:28.471378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T17:51:28.115480Z digest=sha256:b275f09ca5a0714b07e403bede97d02491289888889264a394b81de4ff8279b1

Observation 978491ba-652e-4fd2-9df2-364285ef17ca · outbound

This paper cites Lectures on dynamic systems and control.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Lectures on dynamic systems and control

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:28.458963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T17:51:28.119850Z digest=sha256:59ee3235182a4f9d1a69248b615c30f5cddf793443d4e434626e7de215b6bf7f

Observation a2476979-edca-45b3-8759-006f7ec69ce0 · outbound

This paper cites Elad, Sparse and redundant representations: from theory to appli- cations in signal and image processing.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Elad, Sparse and redundant representations: from theory to appli- cations in signal and image processing

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:28.445320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T17:51:28.123822Z digest=sha256:ed2d17fb54e23979ba86c6bb1a2aed87f7385edd4a5a9038a47c9e5bee3058d9

Observation ce25b3bc-821e-4cc4-a34b-b31dea51433c · outbound

This paper cites An LMI approach to structured sparse feedback design in linear control systems,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs An LMI approach to structured sparse feedback design in linear control systems,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:28.432322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T17:51:28.127921Z digest=sha256:b371f05106b77ebdd6f112ebeefc966bb07f7eeeb79f6ea56001db1f441b892e

Observation ebab90b6-48db-4d0b-93ab-7d7422f0b3cc · outbound

This paper cites Statistical learning with sparsity,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Statistical learning with sparsity,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:28.419559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T17:51:28.131921Z digest=sha256:0a6f4e2c2a9c7a43e954219472452520dd43c08610356253473e0f3040e5a1ab

Observation 3d491829-44f3-46d2-891c-d81b38e515b6 · outbound

This paper cites Proximal algorithms,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Proximal algorithms,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:28.406755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T17:51:28.136190Z digest=sha256:c348a2a907e804e75d6e692ccea5beb9627779b4524022dd0c8c5f205639cf5d

Observation 6818dbe9-2b3c-48d7-b23a-6060daa47252 · outbound

This paper cites An EM algorithm for wavelet-based image restoration,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs An EM algorithm for wavelet-based image restoration,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:28.393408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T17:51:28.140325Z digest=sha256:ef44bdf2b84164b8a1a48c142a3d3bfa593eff97fc04fa17f401526af5486562

Observation f96729e0-e979-4555-a821-f4d00ccc3dad · outbound

This paper cites The square pyramid puzzle,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs The square pyramid puzzle,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:28.380877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T17:51:28.144459Z digest=sha256:8a812fd9b13e059f617160575f241d878257763f1ae95e46312d4445cb46999b

Observation ec2e8edd-e8bf-4ad1-970f-37f1af6996b8 · outbound

This paper cites Methods of computing values of polynomials,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Methods of computing values of polynomials,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:28.367915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T17:51:28.148552Z digest=sha256:1ac10870433471aa7681b403748df7f5209492ba9152563f5601cd099c57660a

Observation 33ef45b3-8246-4d5c-a150-0c8bb1da3406 · outbound

This paper cites On diagonal approximations to the extended Kalman filter for online training of Bayesian neural networks,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs On diagonal approximations to the extended Kalman filter for online training of Bayesian neural networks,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:28.353854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T17:51:28.152407Z digest=sha256:85c6929fb00892f1c4256e4a74168ef608b609880f26c3122959386a2814d1cf

Observation ae49534f-8b63-4b92-848c-be7312fc0282 · outbound

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

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:28.340161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T17:51:28.156355Z digest=sha256:14b1652e54d94151a28ea36147fed5e44c28a9bdf2cf3b416a9088aa90af8291

Observation 37adbb77-6511-4f63-830a-219f219b80ca · outbound

This paper cites Variational Bayesian filtering,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Variational Bayesian filtering,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:28.326452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T17:51:28.160679Z digest=sha256:8fb7bceab6af927f0fbf22179bc94a4948c3c4a6ffe8f1ed44c746add93e3d50

Observation f88fc349-a7db-4827-9081-11ee48d82310 · outbound

This paper cites Learning flock: Enhancing sets of particles for multi sub-state particle filtering with neural augmentation,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Learning flock: Enhancing sets of particles for multi sub-state particle filtering with neural augmentation,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:28.311608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T17:51:28.165373Z digest=sha256:d956bcadd53e427d2ca20ee2747232db88f72a18ad6fe38938988bd08169caf1

Observation d6a35ddc-4076-49fa-b30d-222d853bd133 · outbound

This paper cites KalmanNet: Neural network aided Kalman filtering for partially known dynamics,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs KalmanNet: Neural network aided Kalman filtering for partially known dynamics,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:28.297927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T17:51:28.169581Z digest=sha256:7a671048cd118b6c82c00c9e2690a21fe439549122039f5c00211cf24f22df86

Observation 63de4983-f760-4369-bf70-ff24ee9b3970 · outbound

This paper cites AI-aided Kalman filters,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs AI-aided Kalman filters,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:28.283946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T17:51:28.173522Z digest=sha256:2e65886178a273e96245adfab0d19763cf4db06af8b75d18bb1ef16c89da3de1

Observation d4864b94-7bbb-42ee-ba35-01877780f7a9 · outbound

This paper cites Diffusion strategies for distributed Kalman filtering and smoothing,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Diffusion strategies for distributed Kalman filtering and smoothing,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:28.269854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T17:51:28.177708Z digest=sha256:87381f686248007f990f6aa17ebe772c61c12dab09edc52745233b5ce4be13e1

Observation 45117f1d-cc0b-46ec-a57a-a8754c56d0c9 · outbound

This paper cites The matrix cookbook,.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs The matrix cookbook,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:28.256311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T17:51:28.181635Z digest=sha256:6b0a6ae097134890ab45df2b922617712440d9e9537574427d16371675596804

Pith citing papers

No inbound Pith citation observations are available.