Pith. sign in

Paper Citation Record · LEDGER

Relational Conformal Prediction for Correlated Time Series

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.

pith.paper-citation-record.v1
2502.09443 v2

Coverage vector

measured 85 of 85 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:34:15.364506Z

measured 86 of 86 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T15:49:07.615637Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T09:50:59.012935Z

Reference resolution

85 of 85 outbound references displayed

  • verified exact6
  • verified fuzzy52
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a29294cd-a1f8-4047-bfb5-7410cdf6ebcb · outbound

This paper cites Conformal prediction: A gentle introduction.

Relational Conformal Prediction for Correlated Time Series Conformal prediction: A gentle introduction

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T21:34:14.967972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:34:14.967972Z digest=sha256:5287456297f71da5f84a5816c32fb8335deb0ab306c6d895fa5f2318250c74bd

Observation 5910a242-b421-4d28-bf4d-dff77bdb0185 · outbound

This paper cites Theoretical Foundations of Conformal Prediction.

Relational Conformal Prediction for Correlated Time Series Theoretical Foundations of Conformal Prediction

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T21:34:14.973142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:34:14.973142Z digest=sha256:132aeb21e0d3f70770290bfe561b9db2d954e1d9f9a186c81774f9db28bb9095

Observation 0382a444-6e54-44b2-a768-bcdb5a4a987e · outbound

This paper cites Conformal prediction for time series with Modern Hopfield Networks.

Relational Conformal Prediction for Correlated Time Series Conformal prediction for time series with Modern Hopfield Networks

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T21:34:14.978702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:34:14.978702Z digest=sha256:b6f449395c425cd80b74c51b926f85e54231c9cfad60f0644560c2bbad1710f2

Observation 16b1c670-6919-443a-a76c-d304fbd80061 · outbound

This paper cites A gentle introduction to deep learning for graphs.

Relational Conformal Prediction for Correlated Time Series A gentle introduction to deep learning for graphs

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T21:34:14.983388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:34:14.983388Z digest=sha256:9470f3c02a4dd96492d3f05a833d73d055a8ef4a055a616e4a94831d78b74f82

Observation 32464547-65b1-4d6e-a7e8-966456fdf21c · outbound

This paper cites Conformal prediction beyond exchangeability.

Relational Conformal Prediction for Correlated Time Series Conformal prediction beyond exchangeability

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T21:34:14.988534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:34:14.988534Z digest=sha256:b963d78b8b2c38e587b9a081ac832e8552c16cc0b1208b8e9f0e632df27a29ec

Observation 0379bf08-9131-4c4d-9d3b-cb601b20816f · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Relational Conformal Prediction for Correlated Time Series Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T21:34:14.993512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:34:14.993512Z digest=sha256:23d6471c5d8833ba1cdf289a55e0ade7ed224fdd0121d88468a9fff128e6499d

Observation 6b03abca-2101-4e0d-8ef3-2dac6aba44ee · outbound

This paper cites Deep Learning for Time Series Forecasting: Tutorial and Literature Survey.

Relational Conformal Prediction for Correlated Time Series Deep Learning for Time Series Forecasting: Tutorial and Literature Survey

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T21:34:14.999444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:34:14.999444Z digest=sha256:5a29a242e121d7998a95fdf71b5eb45ce18bc37ad4d084782ff520f1acfeb7fb

Observation 068244c5-5c60-48f5-bad3-c44b7e13d9e4 · outbound

This paper cites Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges.

Relational Conformal Prediction for Correlated Time Series Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T21:34:15.004565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:34:15.004565Z digest=sha256:6580e172709d3f42aa374fc4180a25ebe22ff2c025d439be1c0b9c40085f82e0

Observation fe4ac505-73c6-4bc7-8c54-5c55d7d849c5 · outbound

This paper cites Cluster-GCN: An efficient algorithm for training deep and large graph convolutional networks.

Relational Conformal Prediction for Correlated Time Series Cluster-GCN: An efficient algorithm for training deep and large graph convolutional networks

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T21:34:15.009825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:34:15.009825Z digest=sha256:2d67695ced3bf7833806fc5a3301057ceb8eb78946c5ec6979a8e164d0067309

Observation ea3de872-3d2f-4e7e-9876-312734fe8bee · outbound

This paper cites On the Properties of Neural Machine Translation: Encoder-Decoder Approaches.

Relational Conformal Prediction for Correlated Time Series On the Properties of Neural Machine Translation: Encoder-Decoder Approaches

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T21:34:15.014239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:34:15.014239Z digest=sha256:a00f2425c17999da0b5035fea96e82b1484e13bef1448277655394c15395777e

Observation 3b0a71b7-d8ee-4462-b22c-b0bc59f8cd3f · outbound

This paper cites Torch Spatiotemporal , 2022.

Relational Conformal Prediction for Correlated Time Series Torch Spatiotemporal , 2022

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:17.123806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.020393Z digest=sha256:08e6df0938ef4f542e9d2f73892ad9bb1a60351c5a9cc66246afbf5485ee21b4

Observation 3c9134fc-2e51-4cf3-84b0-50109a027960 · outbound

This paper cites Filling the G\_ap\_s: Multivariate Time Series Imputation by Graph Neural Networks.

Relational Conformal Prediction for Correlated Time Series Filling the G\_ap\_s: Multivariate Time Series Imputation by Graph Neural Networks

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:17.109575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.024774Z digest=sha256:361d25d718f9053ae1d81d88737b56c66bd484c16afe19bde59965d2348bbf7a

Observation ae9bad6e-85a9-45f0-985a-7a361a7133a8 · outbound

This paper cites Graph Deep Learning for Time Series Forecasting.

Relational Conformal Prediction for Correlated Time Series Graph Deep Learning for Time Series Forecasting

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T21:34:15.029093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:34:15.029093Z digest=sha256:a9e99d6ea5fc8d20ab54cc01f3a187d1ce717170cfecd8f8e673cf464c391caa

Observation 8219e272-9f30-4516-91c8-7de347bf4d32 · outbound

This paper cites Taming Local Effects in Graph-based Spatiotemporal Forecasting.

Relational Conformal Prediction for Correlated Time Series Taming Local Effects in Graph-based Spatiotemporal Forecasting

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:17.095216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.034092Z digest=sha256:8a4a209821ac0d883c7079b3fc940af84ba85298a79eac4aa4e266434c00fbb5

Observation 51bc8e3d-e0e4-49b8-93ee-1752b757b16e · outbound

This paper cites Sparse graph learning from spatiotemporal time series.

Relational Conformal Prediction for Correlated Time Series Sparse graph learning from spatiotemporal time series

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:17.080342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.038442Z digest=sha256:74581bfc4e340a1d7361de78041ea9e5a6581629ffed06ece2fa9b023f2100b5

Observation 83715dab-c903-416b-b08c-0578d8adc7ee · outbound

This paper cites Distribution free prediction sets for node classification.

Relational Conformal Prediction for Correlated Time Series Distribution free prediction sets for node classification

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:17.065748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.042735Z digest=sha256:b91b5220514424b6e47acb3f397c216cf2ddb189c60e37905be0974d39d28314

Observation da58510e-3df5-4150-a65c-d932b7484d06 · outbound

This paper cites CER Smart Metering Project - Electricity Customer Behaviour Trial, 2009-2010 [dataset].

Relational Conformal Prediction for Correlated Time Series CER Smart Metering Project - Electricity Customer Behaviour Trial, 2009-2010 [dataset]

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:17.050687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.047057Z digest=sha256:97e323d142aadef398bed36263727239711b74d29a60e85b9cc16d8dde714ca0

Observation 352488bc-8f93-4bb8-9eda-8e92117cc554 · outbound

This paper cites Implicit quantile networks for distributional reinforcement learning.

Relational Conformal Prediction for Correlated Time Series Implicit quantile networks for distributional reinforcement learning

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:17.035423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.051794Z digest=sha256:1406a76b06f763553242a3ea3295a18a64669ccd078f16c2f0b00a64d594d737

Observation 28cbacee-d177-48f6-951c-3c9a43900c91 · outbound

This paper cites Valid Conformal Prediction for Dynamic GNNs.

Relational Conformal Prediction for Correlated Time Series Valid Conformal Prediction for Dynamic GNNs

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T21:34:15.056865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:34:15.056865Z digest=sha256:922cdafbaa067a96f6283ab8291a68f10412397ec9b5a3fb4f58ecb4ebdfc8c6

Observation 8ab725e8-5db4-4925-a783-176f59230f23 · outbound

This paper cites Normalizing kalman filters for multivariate time series analysis.

Relational Conformal Prediction for Correlated Time Series Normalizing kalman filters for multivariate time series analysis

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:17.020722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.061951Z digest=sha256:8a3529c171c7d65a7c0fe32a34004e4f750ff39226ea7aa37a4d66fe70da5437

Observation 2951f055-3e53-40f3-a170-0dc7b4e8d0d7 · outbound

This paper cites PyTorch Lightning , 3 2019.

Relational Conformal Prediction for Correlated Time Series PyTorch Lightning , 3 2019

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:17.005992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.066525Z digest=sha256:e31350ab8af05333ed5b87e4da96ea1d6c8471705cb7d5104dc8ae3ac1364feb

Observation fc85a1e2-c8b7-4ea5-be14-3820619d0cfd · outbound

This paper cites Calibrated multiple-output quantile regression with representation learning.

Relational Conformal Prediction for Correlated Time Series Calibrated multiple-output quantile regression with representation learning

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.991089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.071411Z digest=sha256:84b44bae0767146a6cf72d34a53a801375d2c5727a69a39e4ba6ace1b089926d

Observation ba6e7fbd-42c3-44d8-b353-1208fd3c2ce7 · outbound

This paper cites Fast Graph Representation Learning with PyTorch Geometric.

Relational Conformal Prediction for Correlated Time Series Fast Graph Representation Learning with PyTorch Geometric

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T21:34:15.076295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:34:15.076295Z digest=sha256:5b851a0874c2b054ec6fb90e08eef5125c82ff773f69e3d42230f94dcebfc6e7

Observation 3810c8ee-e436-48b0-bc42-718135444bed · outbound

This paper cites On the Equivalence Between Temporal and Static Equivariant Graph Representations.

Relational Conformal Prediction for Correlated Time Series On the Equivalence Between Temporal and Static Equivariant Graph Representations

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.975750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.081132Z digest=sha256:9f8a2fc2ed7167555ef435d4b596ffa32e8817895080d65d8febf96d98cd3635

Observation 4f8e1d2b-4abc-4686-8419-1e6f4107d77c · outbound

This paper cites Deep learning for time series forecasting: The electric load case.

Relational Conformal Prediction for Correlated Time Series Deep learning for time series forecasting: The electric load case

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.961273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.085945Z digest=sha256:d17d3671d9b91f669bafef80cc1b6631e55524a02164e892b70b915475dd45d2

Observation 0156c46e-658d-44e4-b31c-0e6890f3cb63 · outbound

This paper cites Probabilistic forecasting with spline quantile function RNNs.

Relational Conformal Prediction for Correlated Time Series Probabilistic forecasting with spline quantile function RNNs

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.945385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.090595Z digest=sha256:2ff6e3ba7d1b266e1b32b0903828caf0941dcaae44532f4b3d0ae204f8c28ff4

Observation 8a558b9e-3cea-46e3-8934-ab4c6760ebc9 · outbound

This paper cites Adaptive conformal inference under distribution shift.

Relational Conformal Prediction for Correlated Time Series Adaptive conformal inference under distribution shift

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.930857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.095719Z digest=sha256:ddb56ec2d25c561e7f0088432a58eb4bb0a54b03ce2395f3a144c4a787c4378a

Observation db3bed32-04ac-445f-b0c5-f01801248e7f · outbound

This paper cites Neural message passing for quantum chemistry.

Relational Conformal Prediction for Correlated Time Series Neural message passing for quantum chemistry

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.915825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.100491Z digest=sha256:60f957ddb15c7abf925d2ebd03a1655a2ae2d5d3f11b03517aba72fdc42fe895

Observation d2b12233-1d06-4d40-86a1-3c945521929e · outbound

This paper cites Probabilistic Time Series Forecasting with Implicit Quantile Networks.

Relational Conformal Prediction for Correlated Time Series Probabilistic Time Series Forecasting with Implicit Quantile Networks

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T21:34:15.105131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:34:15.105131Z digest=sha256:1b149864e156937edb9ec17d3c7c3b5a779aa3a3a87ead6996dab9c9e3020481

Observation 2c00d847-ca3c-4756-b214-264d4f34cccc · outbound

This paper cites Investigating causal relations by econometric models and cross-spectral methods.

Relational Conformal Prediction for Correlated Time Series Investigating causal relations by econometric models and cross-spectral methods

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.899716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.109867Z digest=sha256:381939d205239e846d3c066dca2a97ed0f9993c1e7f92e80e9941ca5dd1344db

Observation 255778c6-5448-460f-b60f-6a520612959c · outbound

This paper cites Array programming with NumPy.

Relational Conformal Prediction for Correlated Time Series Array programming with NumPy

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.883423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.114739Z digest=sha256:f983a12598ce0dfe85f5da6383e810ed8bbce2054c44a728d67aa9dc2d58f3e2

Observation a6fd662d-3b0a-4e69-a3f3-ab6a17ec8be2 · outbound

This paper cites Denoising diffusion probabilistic models.

Relational Conformal Prediction for Correlated Time Series Denoising diffusion probabilistic models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T21:34:15.119455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:34:15.119455Z digest=sha256:f5b82f8cb4d12ef53a3bb27f5aaae325254b811dfe93d762d2af5d106900e294

Observation 5a3bc625-3aaf-4b48-bb9a-0b91497e21c2 · outbound

This paper cites Uncertainty quantification over graph with conformalized graph neural networks.

Relational Conformal Prediction for Correlated Time Series Uncertainty quantification over graph with conformalized graph neural networks

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.858112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.124198Z digest=sha256:620c3b9443d76adc5d63ad029a7c5b410d0dde19329e0a9bc8d9bc7952de3ab8

Observation c8c1ff18-df2f-4ac2-b980-20cd32a1d711 · outbound

This paper cites Forecasting: principles and practice.

Relational Conformal Prediction for Correlated Time Series Forecasting: principles and practice

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T21:34:15.129091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:34:15.129091Z digest=sha256:3ba8e64388e9052505aeef768b739a0b7f5f6624e19da3e29b6e5a87268f2077

Observation 7b6e675e-b1fa-4cc9-b7ce-a2c7dfd56656 · outbound

This paper cites Ensemble conformalized quantile regression for probabilistic time series forecasting.

Relational Conformal Prediction for Correlated Time Series Ensemble conformalized quantile regression for probabilistic time series forecasting

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.832391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.134024Z digest=sha256:092a1075cf0f5e405d8a8eb5419092a321f0e20e1b548a37a473ade20bcc5128

Observation 02a2363f-dc3d-498a-816c-3a7eb0291ea5 · outbound

This paper cites Spatio-Temporal Conformal Prediction for Power Outage Data.

Relational Conformal Prediction for Correlated Time Series Spatio-Temporal Conformal Prediction for Power Outage Data

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-07T21:34:16.116820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.138653Z digest=sha256:d86a5e45055163a499fd82bc5136c0e0d33e598839796e616b3c5340f25bf7dd

Observation ecd448c1-2d66-4650-862d-6a2c061eef7d · outbound

This paper cites A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection.

Relational Conformal Prediction for Correlated Time Series A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T21:34:15.143480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:34:15.143480Z digest=sha256:221b73924132e047f76c0003eb1df1937fe3b7d69c259d2e7f81a2849081958b

Observation ce97b44f-7ce1-4521-9fb9-e41f13ce519c · outbound

This paper cites Multivariate quantile function forecaster.

Relational Conformal Prediction for Correlated Time Series Multivariate quantile function forecaster

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.816936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.148418Z digest=sha256:ab47b1a0c2807c26a1c03fb254c3480549c061de45b5c4f03785d78e86ca8e81

Observation ffb72d56-d839-4e29-8289-3b1b513fb3a6 · outbound

This paper cites Differentiable graph module (dgm) for graph convolutional networks.

Relational Conformal Prediction for Correlated Time Series Differentiable graph module (dgm) for graph convolutional networks

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.801935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.152786Z digest=sha256:0c7dc95ab90ce4e360e0c69bd5e2004c466025b08bfd05f6b49ef80d9b27fda5

Observation 41fc27c6-01ba-4931-b867-b52a2bf09399 · outbound

This paper cites Adam: A method for stochastic optimization.

Relational Conformal Prediction for Correlated Time Series Adam: A method for stochastic optimization

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.786526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.157340Z digest=sha256:11f7ebbfd34e2aa23f35701cb302702ede8bf959f1e5bc89647d7ffaed0deb02

Observation 4c3ab99d-a6a4-4730-87aa-279bdc749924 · outbound

This paper cites Quantile regression.

Relational Conformal Prediction for Correlated Time Series Quantile regression

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.770402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.161847Z digest=sha256:9c72ba5bf60fcdb2ba47647bb23a2ab6d35fd33c04506722b73485ebe7e2482c

Observation 7475fdf1-4b62-4039-9037-315e2ab03679 · outbound

This paper cites Stochastic beams and where to find them: The Gumbel-top-K trick for sampling sequences without replacement.

Relational Conformal Prediction for Correlated Time Series Stochastic beams and where to find them: The Gumbel-top-K trick for sampling sequences without replacement

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.754624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.166163Z digest=sha256:e4284c992ae62838ae713049137e0da4037103c5208d3ea70710601845d8471e

Observation 1e8e9e62-5d6e-4ce6-9d12-dad5f0775a12 · outbound

This paper cites Kernel-based optimally weighted conformal time-series prediction.

Relational Conformal Prediction for Correlated Time Series Kernel-based optimally weighted conformal time-series prediction

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.737253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.170880Z digest=sha256:35387ba830c656537058ca5a31e2725b73b88fed81a7cadc2295bf494bf48446

Observation 4df78104-97fd-47eb-ad56-7b59e4a245ef · outbound

This paper cites Conformal prediction for time series with transformer.

Relational Conformal Prediction for Correlated Time Series Conformal prediction for time series with transformer

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.720966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.175586Z digest=sha256:1d46672708d82c3ae2f9160419263fdf7cdd695017e01a21a2df9816a00845e9

Observation 292f1da4-ee5f-42e2-84bb-d8c8a0aa107e · outbound

This paper cites Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting.

Relational Conformal Prediction for Correlated Time Series Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.705749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.180276Z digest=sha256:1f5b84be16579f024dc92c9b578061170e3424d53c3b2e51ac600b46e24e1bf4

Observation c955adaf-8831-4f45-b923-79eba55f8f99 · outbound

This paper cites Foundation Models for Time Series Analysis: A Tutorial and Survey.

Relational Conformal Prediction for Correlated Time Series Foundation Models for Time Series Analysis: A Tutorial and Survey

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T21:34:15.184960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:34:15.184960Z digest=sha256:e3a9327979d7338018e807b9c6c1f2e350194e23504e9b5e28403d08be1e7770

Observation dc688d9c-2a1e-422b-b3e5-589ffbb308ef · outbound

This paper cites Forecasting: its role and value for planning and strategy.

Relational Conformal Prediction for Correlated Time Series Forecasting: its role and value for planning and strategy

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.691415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.189655Z digest=sha256:4b7e015b7ec9cf775584880324126e5bfa2735f6e1a730b8e4f910b0d47549dd

Observation 95733749-938f-4f58-801e-be8c0ea39c07 · outbound

This paper cites Forecasting, uncertainty and risk; perspectives on clinical decision-making in preventive and curative medicine.

Relational Conformal Prediction for Correlated Time Series Forecasting, uncertainty and risk; perspectives on clinical decision-making in preventive and curative medicine

Reference 48

Resolution
verified exact
doi, observed 2026-08-07T21:34:15.404364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.193797Z digest=sha256:d09d7fad63c7210f9ff30135d68f54ba4594f97c231603df41b88e7d7d03ebbb

Observation 7028a6e2-eb11-4691-95c5-48c8356c0e95 · outbound

This paper cites Learning Latent Graph Structures and their Uncertainty.

Relational Conformal Prediction for Correlated Time Series Learning Latent Graph Structures and their Uncertainty

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T21:34:15.197966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:34:15.197966Z digest=sha256:b53b0f19eea6d91162eed488b2c72ffe4d28b1d0228901b4103424657d70fc29

Observation accfa6a8-4341-4510-b294-59f488a4620b · outbound

This paper cites Valid model-free spatial prediction.

Relational Conformal Prediction for Correlated Time Series Valid model-free spatial prediction

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.677191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.202707Z digest=sha256:f4d3b5b0fc345974ce5c76a33419adf70329e0e730aa2b77c8502ae0c14c10ba

Observation c7f1df91-5a7e-4e09-82c5-43e1b398ad37 · outbound

This paper cites Quantile regression forests.

Relational Conformal Prediction for Correlated Time Series Quantile regression forests

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T21:34:15.207619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:34:15.207619Z digest=sha256:f33f551cbac450030a7d9ab3ae502b164284e9c5aaf38dd26428fa0ae692d111

Observation 4aaf5410-a2ba-462d-873d-5ed37ee60850 · outbound

This paper cites Discrete latent structure in neural networks.

Relational Conformal Prediction for Correlated Time Series Discrete latent structure in neural networks

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-08-07T21:34:16.043383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.212072Z digest=sha256:7d095072547d19e2654c039020b53a0f4b93cc77855d4834041b18293eb95e37

Observation e6e95ff5-5b06-4198-a40f-cd33845a59c0 · outbound

This paper cites Autoregressive quantile networks for generative modeling.

Relational Conformal Prediction for Correlated Time Series Autoregressive quantile networks for generative modeling

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.653351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.216609Z digest=sha256:26371f97f8970c5af9f71cfb2336424f1bac789c54315e57184676b139c2a1b5

Observation 5f854163-c9e5-4e0a-9124-fe8a7c40f821 · outbound

This paper cites RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting.

Relational Conformal Prediction for Correlated Time Series RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.638110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.221119Z digest=sha256:7e0007763033170d31c048ed3d42f106e6d8c3662c44928b165fd3400e98d38a

Observation 0185459b-0248-451c-80e7-36f9f7ae1d1e · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Relational Conformal Prediction for Correlated Time Series PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.623072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.226004Z digest=sha256:8452d798182c4864942d894f89553b40bab3b6f3104d899a64352f96021a586b

Observation 746c0f47-0ce0-4c53-b1bd-8d61c0b2ff52 · outbound

This paper cites Barrow, Souhaib Ben Taieb , Christoph Bergmeir, Ricardo J.

Relational Conformal Prediction for Correlated Time Series Barrow, Souhaib Ben Taieb , Christoph Bergmeir, Ricardo J

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T21:34:15.230431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:34:15.230431Z digest=sha256:91339eff8cf7f4769025cf01314cbc0ec5174d95716c577fc2348d3d52451630

Observation 636380ef-86de-442f-8e81-bdf0ed86712c · outbound

This paper cites a fl, Johannes Lehner, Philipp Seidl, Michael Widrich, Lukas Gruber, Markus Holzleitner, Thomas Adler, David Kreil, Michael K Kopp, G \.

Relational Conformal Prediction for Correlated Time Series a fl, Johannes Lehner, Philipp Seidl, Michael Widrich, Lukas Gruber, Markus Holzleitner, Thomas Adler, David Kreil, Michael K Kopp, G \

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.595798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.235391Z digest=sha256:fafd0976b5d6c2f24f291735398b257f4551066b53238844a6f3b6bc85538b05

Observation 017dec5a-4051-40b7-a16e-1cf9dfbbc31c · outbound

This paper cites Deep state space models for time series forecasting.

Relational Conformal Prediction for Correlated Time Series Deep state space models for time series forecasting

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.580185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.240200Z digest=sha256:0033a19bf5b0e72b9ced7c13e4c88525112e83c4a1d2c9fd6acac5b472ac69bf

Observation 0741bce0-5eb8-4763-b6fe-4d134239f726 · outbound

This paper cites Autoregressive denoising diffusion models for multivariate probabilistic time series forecasting.

Relational Conformal Prediction for Correlated Time Series Autoregressive denoising diffusion models for multivariate probabilistic time series forecasting

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.564277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.245184Z digest=sha256:3b40cb708212d121f60a643b118b4c8885ddd0bc4fac9d8e41b9ce93bacedb40

Observation 546952d0-b3a1-49c2-8507-5da0a83d2776 · outbound

This paper cites DeepAR: Probabilistic forecasting with autoregressive recurrent networks.

Relational Conformal Prediction for Correlated Time Series DeepAR: Probabilistic forecasting with autoregressive recurrent networks

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.548640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.249860Z digest=sha256:dab4227d309a12cc356c406e591ab67366f3b8c1b761fa717460095e96a0728e

Observation 0d8dd3d3-c0e0-4652-a17a-1b53778cd474 · outbound

This paper cites Multivariate Time Series Forecasting with Latent Graph Inference.

Relational Conformal Prediction for Correlated Time Series Multivariate Time Series Forecasting with Latent Graph Inference

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T21:34:15.254462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:34:15.254462Z digest=sha256:822091bb9ae7c39a221f4fc539a147435e56a1c6c7b11a3473dc3ccd802a16f7

Observation 0ac4ce95-a113-4382-ad8b-054d2424321e · outbound

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

Relational Conformal Prediction for Correlated Time Series The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.531072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.259603Z digest=sha256:271591d6574f6e2cf34761630f262d174efa18057e6177b2f3c3a714453aa1b7

Observation 94920de0-dfbe-47f7-a0d8-e39a21164fd1 · outbound

This paper cites Uncertainty quantification: theory, implementation, and applications.

Relational Conformal Prediction for Correlated Time Series Uncertainty quantification: theory, implementation, and applications

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.516100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.264257Z digest=sha256:3f1098c69b347c4551b1a54960e305894bd3fe4ab93b90ed85b05f5574d3eaba

Observation 30d6def4-15ab-4da3-b439-d191a17dd825 · outbound

This paper cites A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting.

Relational Conformal Prediction for Correlated Time Series A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.501099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.268818Z digest=sha256:3a1ff9ca9a16c5a8495e8235fdc8f2b2958c3e29a30d6513454a90e4d7147237

Observation 80f60490-ffe3-41b2-b602-8feab098c69f · outbound

This paper cites Conformal time-series forecasting.

Relational Conformal Prediction for Correlated Time Series Conformal time-series forecasting

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.485337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.273512Z digest=sha256:52bcf4ad080277261f3c06d5e7c9385c00061dd647e79fe0ec28b2435c939bd3

Observation 8e137811-2ec4-44a1-87e1-91f0e944bcbb · outbound

This paper cites Copula conformal prediction for multi-step time series prediction.

Relational Conformal Prediction for Correlated Time Series Copula conformal prediction for multi-step time series prediction

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.470006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.278038Z digest=sha256:ca293d5d27eb18cf0f05470277dc8a25a9c32c1ea1d8f5b4de87a1c29910f392

Observation 42464f93-3f77-40a8-b4f3-60b47f226486 · outbound

This paper cites Conformal prediction under covariate shift.

Relational Conformal Prediction for Correlated Time Series Conformal prediction under covariate shift

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T21:34:15.282891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:34:15.282891Z digest=sha256:bd7f91b49c27faaf11ef77c25edf84c116f5fef0c9bddb2f9303fe56033f1ae8

Observation 4820f70a-a2c2-462c-ba86-5b3cacbfb449 · outbound

This paper cites an unresolved cited work.

Relational Conformal Prediction for Correlated Time Series Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-07T21:34:16.446342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.287518Z digest=sha256:6bc498b5205c83af169320f64f2a09f5d8a3749ccbf579c084d1bd85a50ee77d

Observation 36406972-39c6-4557-80fa-83f91555d8e7 · outbound

This paper cites Attention is all you need.

Relational Conformal Prediction for Correlated Time Series Attention is all you need

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.432360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.292132Z digest=sha256:fd9bbdaf02e9566287665440e5db3440205249db4f896269b46d2db1caf996e4

Observation ed897534-d409-4ae1-badf-f3b0bb468c91 · outbound

This paper cites Algorithmic learning in a random world, volume 29.

Relational Conformal Prediction for Correlated Time Series Algorithmic learning in a random world, volume 29

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T21:34:15.296840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:34:15.296840Z digest=sha256:be8e22caa893a16ac6476fe1cee7609df4cde4203176537f7e3f8bd5b9182c81

Observation 281fad9e-20a9-40a9-9fd2-1523b43a724e · outbound

This paper cites Diff STG : Probabilistic spatio-temporal graph forecasting with denoising diffusion models.

Relational Conformal Prediction for Correlated Time Series Diff STG : Probabilistic spatio-temporal graph forecasting with denoising diffusion models

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.407215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.301589Z digest=sha256:512fbcdb3dc7518a85b6eb623b0e6bbfd62f0f525103853c170d7dc8034e9a17

Observation 2d192f17-175f-46d9-8d30-592f50a21009 · outbound

This paper cites A Multi-Horizon Quantile Recurrent Forecaster.

Relational Conformal Prediction for Correlated Time Series A Multi-Horizon Quantile Recurrent Forecaster

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-07T21:34:15.306275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:34:15.306275Z digest=sha256:f7d15f3650b6ad4c51b2cbef6d22108693c2a8f39e2990175ddfb4f3db0b72f2

Observation 545dc534-ac02-4b6f-bce6-096de9583a0c · outbound

This paper cites A decision-theoretic approach to interval estimation.

Relational Conformal Prediction for Correlated Time Series A decision-theoretic approach to interval estimation

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-07T21:34:15.311492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:34:15.311492Z digest=sha256:cd5ac322759fd06bc33b3b3ffd4f4245dfd735dbb29e5b06d7344d1f6373b29d

Observation 2c86db02-7ed4-4137-9d81-525267da8298 · outbound

This paper cites Quantifying uncertainty in deep spatiotemporal forecasting.

Relational Conformal Prediction for Correlated Time Series Quantifying uncertainty in deep spatiotemporal forecasting

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.382369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.316200Z digest=sha256:f4cf06e6868f32149f7ef338a8bf9baa397ea0e4fb2628c54d9362f8aca6ca37

Observation daabbf5e-13f6-4061-a597-958b22e7a0b1 · outbound

This paper cites Graph wavenet for deep spatial-temporal graph modeling.

Relational Conformal Prediction for Correlated Time Series Graph wavenet for deep spatial-temporal graph modeling

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.367142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.321108Z digest=sha256:1fb2bb52c4be6f99317e724214062c2e6924b1f1362c16f8d031803025dba337

Observation aa0759bc-04cb-41e4-8a85-f644989e932f · outbound

This paper cites Reparameterizable subset sampling via continuous relaxations.

Relational Conformal Prediction for Correlated Time Series Reparameterizable subset sampling via continuous relaxations

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.352026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.325899Z digest=sha256:8b0bce61e1fe4435687fd4e89b09793ac6beed1c394e2fed19b5139a4918b9c6

Observation 58670854-95e5-446f-8a0c-cec46f6253d2 · outbound

This paper cites Conformal prediction for time series.

Relational Conformal Prediction for Correlated Time Series Conformal prediction for time series

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.336233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.330547Z digest=sha256:6aa7bb5dcf84d9f82b9ab70371733fa6323e13be1197d58b34050c627c902de7

Observation f97b2e90-9cc2-4524-866e-edb9c451ecc3 · outbound

This paper cites Sequential predictive conformal inference for time series.

Relational Conformal Prediction for Correlated Time Series Sequential predictive conformal inference for time series

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.319323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.334788Z digest=sha256:694674d39431e8d2e32d3b8262b576aaeaec80021f479ff387af3f4c8af4c127

Observation 86b22d94-0396-4ee2-b58e-e466a4da61fb · outbound

This paper cites Conformal prediction for multi-dimensional time series by ellipsoidal sets.

Relational Conformal Prediction for Correlated Time Series Conformal prediction for multi-dimensional time series by ellipsoidal sets

Reference 79

Resolution
verified exact
local_arxiv, observed 2026-08-07T21:34:15.791186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.338827Z digest=sha256:ad0ce908b90793e4292b923b6d3d885941bba1e44bae48089f9945c1a9426bba

Observation e81c14cf-5882-4508-a695-8d8eac744eaa · outbound

This paper cites AZ-whiteness Test: A Test for Signal Uncorrelation on Spatio-Temporal Graphs.

Relational Conformal Prediction for Correlated Time Series AZ-whiteness Test: A Test for Signal Uncorrelation on Spatio-Temporal Graphs

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.303687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.343415Z digest=sha256:29c67f496a0c37e58951332d3a20fc26d2d29a5de8e62c2f66f4f8b49dbd6c05

Observation 7bafa7df-e5cc-4c32-a610-bc6febea1657 · outbound

This paper cites Where and How to Improve Graph-based Spatio-temporal Predictors , 2023.

Relational Conformal Prediction for Correlated Time Series Where and How to Improve Graph-based Spatio-temporal Predictors , 2023

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-08-07T21:34:15.766914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.347489Z digest=sha256:0f5c0d2688487c19c5865827023eac4c0ed69ebd62dbcc4d3efb9a7a765a040c

Observation 340a1ed6-ab82-4480-8e5d-3bfec456b532 · outbound

This paper cites Graph State-Space Models and Latent Relational Inference.

Relational Conformal Prediction for Correlated Time Series Graph State-Space Models and Latent Relational Inference

Reference 82

Resolution
verified exact
local_arxiv, observed 2026-08-07T21:34:15.437276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.351584Z digest=sha256:ef91ad248f4bbd1aa0eecb8c7ebd69337102df1c04be40b350b1888a825afb32

Observation bc9b2348-a99c-49b4-b931-20ba41187866 · outbound

This paper cites Conformal prediction sets for graph neural networks.

Relational Conformal Prediction for Correlated Time Series Conformal prediction sets for graph neural networks

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.288426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.356152Z digest=sha256:58f0c54480ac363f2f176223f4143605e4ec501bb15b040b4b7471f3f5b00e41

Observation 95b2db21-28f9-4aad-b698-d78275c2447d · outbound

This paper cites Conformalized link prediction on graph neural networks.

Relational Conformal Prediction for Correlated Time Series Conformalized link prediction on graph neural networks

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.273070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.360147Z digest=sha256:1f1b19a46c99311da96498baa645311c18568e8b610c356fddef25de71c6c80f

Observation 289c6af5-7883-4b3a-b239-d5829418ee3b · outbound

This paper cites Forecasting fine-grained air quality based on big data.

Relational Conformal Prediction for Correlated Time Series Forecasting fine-grained air quality based on big data

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T21:34:16.257389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.364506Z digest=sha256:83f1c968b5bab5f283505553061b36b4a7ee1c55fd3434ed8e955b6812b2c91b

Pith citing papers

Observation 5ff326c6-158a-49d7-a08d-47b8d7b6473e · inbound

Virtual Smart Metering in District Heating Networks via Heterogeneous Spatial-Temporal Graph Neural Networks cites this paper.

Virtual Smart Metering in District Heating Networks via Heterogeneous Spatial-Temporal Graph Neural Networks Relational Conformal Prediction for Correlated Time Series

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:50:59.018339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T15:49:07.615637Z digest=sha256:afdc3c387c7028717fa57242e76819e51306ee9992f54984e2e368b0c45b36fd