Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T12:47:14.459261Z
Paper Citation Record · LEDGER
As of 24 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2411.16972.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T12:47:14.459261Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
58 of 58 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation e6c7a5e9-d64f-4f68-bf2b-8ee6566dd794 · outbound
Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework S.; and Wah, T
Reference 1
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Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework S.; Geethanjali, N.; and Satyanarayana, B
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Reference 3
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Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework Using Clustering Method to Understand Indian Stock Market Volatility
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Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
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Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework Unresolved cited work
Reference 10
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Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework Unresolved cited work
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Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework Unresolved cited work
Reference 12
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Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework Inductive Representation Learning on Large Graphs
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Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework Unresolved cited work
Reference 14
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Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework N.; and McDermid, G
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Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework Y.; Jiang, N.; and Wang, S
Reference 16
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Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework Unresolved cited work
Reference 17
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Observation a802b98e-9024-4f23-a78c-9f1059547a73 · outbound
Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering
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Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework Unresolved cited work
Reference 19
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Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework Unresolved cited work
Reference 22
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Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework AUTOSHAPE: An Autoencoder-Shapelet Approach for Time Series Clustering
Reference 23
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Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework W.; Wu, K.; and Wan, Y
Reference 24
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Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework F.; and Hamdi, S
Reference 25
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Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework Unresolved cited work
Reference 26
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Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework Unresolved cited work
Reference 27
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Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework Unresolved cited work
Reference 28
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Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework Unresolved cited work
Reference 29
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Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework Unresolved cited work
Reference 30
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Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework Unresolved cited work
Reference 31
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Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework Unresolved cited work
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Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework Unresolved cited work
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Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework Unresolved cited work
Reference 35
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Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework Unresolved cited work
Reference 36
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Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework Unresolved cited work
Reference 39
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Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework Unresolved cited work
Reference 41
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Reference 46
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Reference 49
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Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
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Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework Unresolved cited work
Reference 51
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Reference 52
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Reference 53
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Reference 56
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