Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T21:34:15.364506Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 85 of 85 outbound references and 1 inbound Pith citation observation for arXiv:2502.09443.
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 2026-08-07T21:34:15.364506Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
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A source-named dated measurement, never combined with another source.
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85 of 85 outbound references displayed
External citation measurements
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Observation a29294cd-a1f8-4047-bfb5-7410cdf6ebcb · outbound
Relational Conformal Prediction for Correlated Time Series Conformal prediction: A gentle introduction
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Relational Conformal Prediction for Correlated Time Series Theoretical Foundations of Conformal Prediction
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Relational Conformal Prediction for Correlated Time Series Conformal prediction for time series with Modern Hopfield Networks
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Relational Conformal Prediction for Correlated Time Series A gentle introduction to deep learning for graphs
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Relational Conformal Prediction for Correlated Time Series Conformal prediction beyond exchangeability
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Relational Conformal Prediction for Correlated Time Series Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
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Relational Conformal Prediction for Correlated Time Series Deep Learning for Time Series Forecasting: Tutorial and Literature Survey
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Relational Conformal Prediction for Correlated Time Series Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
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Relational Conformal Prediction for Correlated Time Series Cluster-GCN: An efficient algorithm for training deep and large graph convolutional networks
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Relational Conformal Prediction for Correlated Time Series On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
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Relational Conformal Prediction for Correlated Time Series Torch Spatiotemporal , 2022
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Relational Conformal Prediction for Correlated Time Series Filling the G\_ap\_s: Multivariate Time Series Imputation by Graph Neural Networks
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Relational Conformal Prediction for Correlated Time Series Graph Deep Learning for Time Series Forecasting
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Relational Conformal Prediction for Correlated Time Series Taming Local Effects in Graph-based Spatiotemporal Forecasting
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Relational Conformal Prediction for Correlated Time Series Sparse graph learning from spatiotemporal time series
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Relational Conformal Prediction for Correlated Time Series Distribution free prediction sets for node classification
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Relational Conformal Prediction for Correlated Time Series CER Smart Metering Project - Electricity Customer Behaviour Trial, 2009-2010 [dataset]
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Relational Conformal Prediction for Correlated Time Series Implicit quantile networks for distributional reinforcement learning
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Relational Conformal Prediction for Correlated Time Series Valid Conformal Prediction for Dynamic GNNs
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Relational Conformal Prediction for Correlated Time Series Normalizing kalman filters for multivariate time series analysis
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Relational Conformal Prediction for Correlated Time Series PyTorch Lightning , 3 2019
Reference 21
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Relational Conformal Prediction for Correlated Time Series Calibrated multiple-output quantile regression with representation learning
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Relational Conformal Prediction for Correlated Time Series Fast Graph Representation Learning with PyTorch Geometric
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Relational Conformal Prediction for Correlated Time Series On the Equivalence Between Temporal and Static Equivariant Graph Representations
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Relational Conformal Prediction for Correlated Time Series Deep learning for time series forecasting: The electric load case
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Relational Conformal Prediction for Correlated Time Series Adaptive conformal inference under distribution shift
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Relational Conformal Prediction for Correlated Time Series Neural message passing for quantum chemistry
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Relational Conformal Prediction for Correlated Time Series Probabilistic Time Series Forecasting with Implicit Quantile Networks
Reference 29
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Relational Conformal Prediction for Correlated Time Series Investigating causal relations by econometric models and cross-spectral methods
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Relational Conformal Prediction for Correlated Time Series Array programming with NumPy
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Relational Conformal Prediction for Correlated Time Series Forecasting: principles and practice
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Relational Conformal Prediction for Correlated Time Series Adam: A method for stochastic optimization
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Relational Conformal Prediction for Correlated Time Series Stochastic beams and where to find them: The Gumbel-top-K trick for sampling sequences without replacement
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Relational Conformal Prediction for Correlated Time Series Foundation Models for Time Series Analysis: A Tutorial and Survey
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Relational Conformal Prediction for Correlated Time Series Learning Latent Graph Structures and their Uncertainty
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Relational Conformal Prediction for Correlated Time Series Valid model-free spatial prediction
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Relational Conformal Prediction for Correlated Time Series Discrete latent structure in neural networks
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Relational Conformal Prediction for Correlated Time Series PyTorch: An Imperative Style, High-Performance Deep Learning Library
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Relational Conformal Prediction for Correlated Time Series Reparameterizable subset sampling via continuous relaxations
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Source-reported events for the cited work
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Observation 340a1ed6-ab82-4480-8e5d-3bfec456b532 · outbound
Relational Conformal Prediction for Correlated Time Series Graph State-Space Models and Latent Relational Inference
Reference 82
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Observation bc9b2348-a99c-49b4-b931-20ba41187866 · outbound
Relational Conformal Prediction for Correlated Time Series Conformal prediction sets for graph neural networks
Reference 83
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Observation 95b2db21-28f9-4aad-b698-d78275c2447d · outbound
Relational Conformal Prediction for Correlated Time Series Conformalized link prediction on graph neural networks
Reference 84
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Observation 289c6af5-7883-4b3a-b239-d5829418ee3b · outbound
Relational Conformal Prediction for Correlated Time Series Forecasting fine-grained air quality based on big data
Reference 85
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Observation 5ff326c6-158a-49d7-a08d-47b8d7b6473e · inbound
Virtual Smart Metering in District Heating Networks via Heterogeneous Spatial-Temporal Graph Neural Networks Relational Conformal Prediction for Correlated Time Series
Reference 30
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