Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T22:33:25.796710Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2502.04515.
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 2026-08-08T22:33:25.796710Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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
56 of 56 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification Unresolved cited work
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MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting
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MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification Rajendra Acharya
Reference 15
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MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
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MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification Adam: A Method for Stochastic Optimization
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Reference 18
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MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces
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Reference 24
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MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification Alharbi, and Yousef Ajami Alotaibi
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