Time-Varying Graph Learning for Data with Heavy-Tailed Distribution | Paper Citation Record

Observation 8bd7adae-7876-4791-9b48-745bc3718b49 · outbound

This paper cites Learning time-varying graphs for heavy-tailed data clustering,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Learning time-varying graphs for heavy-tailed data clustering,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:12.328296Z

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Observation 3077f057-bfae-4a42-b603-db2e09b29c62 · outbound

This paper cites Social Network Analysis with Content and Graphs,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Social Network Analysis with Content and Graphs,

Reference 2

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Observation cbb4ea09-9ec5-4c43-9b4e-41d4109ee9bd · outbound

This paper cites Improved clustering algorithms for image segmentation based on non-local in- formation and back projection,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Improved clustering algorithms for image segmentation based on non-local in- formation and back projection,

Reference 3

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Observation 4788efbf-1a5a-4a02-8ad5-0d9b49293778 · outbound

This paper cites On Applications of Graph/Network Theory to Problems in Communication Systems,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution On Applications of Graph/Network Theory to Problems in Communication Systems,

Reference 4

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Observation 6bd3f3ed-091e-43b1-90f6-0a33f7607cf6 · outbound

This paper cites Learning undirected graphs in financial markets,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Learning undirected graphs in financial markets,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:12.268322Z

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Observation 3573fbff-c6e3-4815-9d79-ccd190e42a3d · outbound

This paper cites Graph Signal Processing: Overview, Challenges, and Applications,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Graph Signal Processing: Overview, Challenges, and Applications,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:12.253431Z

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Observation 8e2b5c76-e8a9-48e4-9b08-917d5146da6f · outbound

This paper cites Learning graphs from data: A signal representation perspective,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Learning graphs from data: A signal representation perspective,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:12.238346Z

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Observation 670c5cd3-781f-4f82-830e-b8c6d75f3c30 · outbound

This paper cites Rue and L.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Rue and L

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:12.223919Z

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Observation eeea2d23-67c0-4d95-b662-9549d7624d31 · outbound

This paper cites Nonconvex sparse graph learning under Laplacian constrained graphical model,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Nonconvex sparse graph learning under Laplacian constrained graphical model,

Reference 9

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Observation 012d10a1-237d-4f83-b3d1-74271ef394bb · outbound

This paper cites Minimax estimation of Laplacian constrained precision matrices,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Minimax estimation of Laplacian constrained precision matrices,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:12.194432Z

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Observation 5031afb3-24ac-4567-9d78-a883ba3cab4b · outbound

This paper cites Graph Learning From Data Under Laplacian and Structural Constraints,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Graph Learning From Data Under Laplacian and Structural Constraints,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:12.178124Z

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Observation 5834b8d3-28a1-4d6e-a269-db39d2aa4db5 · outbound

This paper cites Graph signal processing - a probabilistic framework,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Graph signal processing - a probabilistic framework,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:12.162755Z

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Observation 7125f1f2-18e1-40f8-8642-18726fce8920 · outbound

This paper cites Does the $\ell_1$-norm Learn a Sparse Graph under Laplacian Constrained Graphical Models?.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Does the $\ell_1$-norm Learn a Sparse Graph under Laplacian Constrained Graphical Models?

Reference 13

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Observation 7852b4a5-1766-4229-8d79-1e9865d2020a · outbound

This paper cites Sparse inverse covariance estimation with the graphical lasso,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Sparse inverse covariance estimation with the graphical lasso,

Reference 14

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Observation c1398e5b-ceb2-4f6f-abd0-7ce9d944b8b6 · outbound

This paper cites Discovering structure by learning sparse graphs,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Discovering structure by learning sparse graphs,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:12.130732Z

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Observation 3b72b625-f969-4ba5-b29f-7f6010b1e11d · outbound

This paper cites Optimization Algorithms for Graph Laplacian Estimation via ADMM and MM,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Optimization Algorithms for Graph Laplacian Estimation via ADMM and MM,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:12.115885Z

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Observation 782b3212-2552-4af5-80ee-72f03351df81 · outbound

This paper cites Learning bipartite graphs: Heavy tails and multiple components,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Learning bipartite graphs: Heavy tails and multiple components,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:12.100338Z

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Observation 5972c153-2f8a-4c5f-bed9-9473f7b92e0a · outbound

This paper cites A Unified Framework for Structured Graph Learning via Spectral Constraints,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution A Unified Framework for Structured Graph Learning via Spectral Constraints,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:12.084523Z

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Observation c66e6c99-ecd8-49fc-9e42-3c21b8afb455 · outbound

This paper cites Kaplan, Structural Equation Modeling (2nd ed.): Foundations and Extensions, SAGE Publications, Inc., 2455 Teller Road, Thousand Oaks California 91320 United States, 2009.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Kaplan, Structural Equation Modeling (2nd ed.): Foundations and Extensions, SAGE Publications, Inc., 2455 Teller Road, Thousand Oaks California 91320 United States, 2009

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:12.069498Z

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Observation 9a50d400-6514-4c52-86e2-45e73937722d · outbound

This paper cites Topology Selection in Graphical Models of Autoregressive Processes,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Topology Selection in Graphical Models of Autoregressive Processes,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:12.052542Z

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Observation 66d632a7-1b3e-4556-9f47-f45f7b03ca32 · outbound

This paper cites Causal Network Inference Via Group Sparse Regularization,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Causal Network Inference Via Group Sparse Regularization,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:12.035277Z

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Observation 54d8f074-e2d0-4902-8e6d-c748468193a4 · outbound

This paper cites Signal Processing on Graphs: Causal Mod- eling of Unstructured Data,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Signal Processing on Graphs: Causal Mod- eling of Unstructured Data,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:12.018321Z

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Observation 10ce515e-71ba-4aa2-921c-beeabfdc6dca · outbound

This paper cites Learning Spatiotemporal Graphical Models From Incomplete Observations,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Learning Spatiotemporal Graphical Models From Incomplete Observations,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:12.001433Z

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Observation d9d5a98a-00d7-4f2f-906f-9d0dea8fc2ef · outbound

This paper cites Learning time varying graphs,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Learning time varying graphs,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:11.985371Z

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Observation 02ebb502-479e-4b04-8348-b5f0de0b9e53 · outbound

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

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Network inference via the time-varying graphical lasso,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:11.969799Z

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Observation c255cd6d-48fa-4d11-aa8f-fe8439edc390 · outbound

This paper cites Time-Varying Graph Learning with Constraints on Graph Temporal Variation.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Time-Varying Graph Learning with Constraints on Graph Temporal Variation

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:55:11.439285Z

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Observation 7de52ba1-14d5-459a-816d-707a583a0838 · outbound

This paper cites Learning Undirected Graphs in Financial Markets,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Learning Undirected Graphs in Financial Markets,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:11.954053Z

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Observation 6fe6a69e-bc8c-49af-a2dc-9b4e33712846 · outbound

This paper cites Online Graph Learning From Time-Varying Structural Equation Models,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Online Graph Learning From Time-Varying Structural Equation Models,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:11.938725Z

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Observation 7ead8791-830c-4907-9ae9-3925986379f3 · outbound

This paper cites Tracking of a dynamic graph using a signal theory approach : application to the study of a bike sharing system,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Tracking of a dynamic graph using a signal theory approach : application to the study of a bike sharing system,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:11.923071Z

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Observation dd88fdd9-3be3-4235-b904-9ed09fc1f3dd · outbound

This paper cites Dynamic graph models,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Dynamic graph models,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:11.908285Z

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Observation 7e32a355-e27c-4723-8bf4-c728bc22edb9 · outbound

This paper cites Time-varying Graph Learning Based on Sparseness of Temporal Variation,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Time-varying Graph Learning Based on Sparseness of Temporal Variation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:11.892481Z

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Observation 5593d233-e4cc-4157-871b-06c01afef251 · outbound

This paper cites Learning Laplacian Matrix in Smooth Graph Signal Representations,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Learning Laplacian Matrix in Smooth Graph Signal Representations,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:11.877062Z

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Observation 31ad807a-4a40-4fcb-9597-dae3c0b22976 · outbound

This paper cites Learning Time-Varying Graphs From Online Data,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Learning Time-Varying Graphs From Online Data,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:11.861299Z

Source-reported events for the cited work

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Observation c13d720d-7900-4004-9c04-2e868ee1e626 · outbound

This paper cites A Class of Prediction-Correction Methods for Time-Varying Convex Optimization,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution A Class of Prediction-Correction Methods for Time-Varying Convex Optimization,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:11.845227Z

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Observation 5442fa04-d894-41b4-8fe4-dcb7e91decf2 · outbound

This paper cites Tracking Switched Dynamic Network Topologies From Information Cascades,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Tracking Switched Dynamic Network Topologies From Information Cascades,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:11.830161Z

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Observation 169d5190-376f-4b8e-94d2-5c2f0fe163b7 · outbound

This paper cites Online Graph Learning from Sequential Data,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Online Graph Learning from Sequential Data,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:11.814854Z

Source-reported events for the cited work

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Observation e4582d78-8d58-48c4-a781-2031a3b66e11 · outbound

This paper cites Online Topology Inference from Stream- ing Stationary Graph Signals with Partial Connectivity Information,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Online Topology Inference from Stream- ing Stationary Graph Signals with Partial Connectivity Information,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:11.799702Z

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Observation 28895e82-1a13-4154-a6d6-b72819cc3b03 · outbound

This paper cites Online Non-linear Topology Identification from Graph-connected Time Series,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Online Non-linear Topology Identification from Graph-connected Time Series,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:11.784722Z

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Observation fda0233a-2ec8-45f9-861f-98b9712d1a9a · outbound

This paper cites Online Graph Learning under Smoothness Priors,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Online Graph Learning under Smoothness Priors,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:11.769464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0f232e83-0fa1-4b4c-9cd7-f083b9b5a6e3 · outbound

This paper cites Online learning of time- varying signals and graphs,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Online learning of time- varying signals and graphs,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:11.754506Z

Source-reported events for the cited work

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Observation 02fb1748-04cd-4516-800d-bbbddfa32cb9 · outbound

This paper cites Online Network Inference from Graph-Stationary Signals with Hidden Nodes.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Online Network Inference from Graph-Stationary Signals with Hidden Nodes

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:55:11.417043Z

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Observation 2b342cf4-d98e-4c7d-90b7-3ce9145b577b · outbound

This paper cites an unresolved cited work.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:55:11.739007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f779d208-73c7-4645-8e6a-d6fcdb64451a · outbound

This paper cites Graph-based Methods for Visualization and Clustering,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Graph-based Methods for Visualization and Clustering,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:11.724031Z

Source-reported events for the cited work

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Observation 8a4f9e15-8eed-445b-8577-683d956fb961 · outbound

This paper cites Joint Signal Recovery and Graph Learning from Incomplete Time-Series,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Joint Signal Recovery and Graph Learning from Incomplete Time-Series,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:11.708591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ca55da55-58d2-4292-828d-27ac95235e5a · outbound

This paper cites Graphical Models in Heavy-Tailed Markets,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Graphical Models in Heavy-Tailed Markets,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:11.692896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 805ff6db-83e5-4d09-8e3c-0f3fa66a9457 · outbound

This paper cites Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:11.675825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e758d8e0-28da-4aa0-92a9-60fddae100ed · outbound

This paper cites Majorization-Minimization Algo- rithms in Signal Processing, Communications, and Machine Learning,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Majorization-Minimization Algo- rithms in Signal Processing, Communications, and Machine Learning,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:11.659484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f0cc6ebf-ea6d-4003-9e41-13e575d43eb1 · outbound

This paper cites Regression Shrinkage and Selection Via the Lasso,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Regression Shrinkage and Selection Via the Lasso,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:11.642450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 76bd888a-4125-47f9-8c4e-fd04954f8fa7 · outbound

This paper cites The Constrained Laplacian Rank algorithm for graph-based clustering,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution The Constrained Laplacian Rank algorithm for graph-based clustering,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:11.624290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c2fb8948-4262-472a-b0e4-c813ca99d321 · outbound

This paper cites Graph Learning for Balanced Clustering of Heavy-Tailed Data,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Graph Learning for Balanced Clustering of Heavy-Tailed Data,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:11.608005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 92696463-e96d-4597-a845-4f0a67c105f2 · outbound

This paper cites Everitt, Ed., Cluster analysis , Wiley series in probability and statistics.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Everitt, Ed., Cluster analysis , Wiley series in probability and statistics

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:11.591876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b2d6e9f0-093d-4c58-863c-924b492df69d · outbound

This paper cites Modularity and community structure in networks,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Modularity and community structure in networks,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:11.575763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0bc0707e-3e24-46c0-9c37-adaa235c7244 · outbound

This paper cites Objective Criteria for the Evaluation of Clustering Methods,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Objective Criteria for the Evaluation of Clustering Methods,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:11.559701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 954d90ec-9c27-4a09-83b9-d6ac5edd2958 · outbound

This paper cites On Spectral Clustering: Analysis and an algorithm,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution On Spectral Clustering: Analysis and an algorithm,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:11.542922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b6f6187a-dc5b-43c4-800b-351c60052b51 · outbound

This paper cites Some methods for classification and analysis of multi- variate observations,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Some methods for classification and analysis of multi- variate observations,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:11.526681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ec6965f0-7d3b-4011-9a71-23aefb1d59df · outbound

This paper cites Mutual Fund Performance,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Mutual Fund Performance,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:11.509975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 453ef3fd-c95d-4861-9d4f-7aa482a4c48f · outbound

This paper cites Parameter-free convex equivalent and dual programs of fractional programming problems,.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Parameter-free convex equivalent and dual programs of fractional programming problems,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:11.493045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fac026f7-8278-4655-b204-6d8f75a36396 · outbound

This paper cites an unresolved cited work.

Time-Varying Graph Learning for Data with Heavy-Tailed Distribution Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:55:11.477917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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