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Paper Citation Record · LEDGER

Relational Conformal Prediction for Correlated Time Series

As of 17 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 2026-08-17T06:30:58.91139+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

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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:cd1c379689e4126086e1f736066745df42b869a06648ba6aa657823384a54e9a

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

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

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source=arxiv_source observed=2026-08-07T21:34:14.973142Z digest=sha256:878c719661e0d9223aabac22cc07ddd779c035a55d4ed7251d24a781f11f2068

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

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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=sha256:4f603ac4cefc6f89caea8ffa95d8b24fda8930cadbcd0326c192b1361cea6151

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

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T21:34:14.983388Z digest=sha256:6cd8812b81c43b3f241d4800bec920e6d16fc4963842cf9b6c441ec07d2f03cf

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

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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:db98b09f2fe55bfc08ea63750f4f63e5623b195014fc87398141028c9fbeb95e

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

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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=sha256:6eff0a4151243b28daa8df3983c7a917e0c6f629c2db9105082645ebd0baf047

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

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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=sha256:12b963dbb5dc9ef89eac1137013130369a76cecb0a6d403674a49d56e4c00ab7

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

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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=sha256:2b20fe7c0b965f2e4290a81ba0a3f063297b4dac1f333c8b6f174d42d281aa5f

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

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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=sha256:3c7c3a13cfcbd7b741698ac9ac37d2b90bce1754ce5e81d1c12b8efa71e4ebba

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

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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=sha256:43112a13c85b6d58a069651093e9c9d2aa6ea8fe9c36a0227dc0d55211d4c64c

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

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.020393Z digest=sha256:b2103e4d5d733461176a222ccce1b4419ecd217e292e4eaf6da3389f66d8aa0e

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

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.024774Z digest=sha256:3153d52602a31904ddece7f9f933ba1f512cd4e37dcb2a2f83c8b885b7a58ce1

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

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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:da8fb216cfad1fe2516095c0ee21b9ba9db7993c7fba0f52779dc49a8d4b613c

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

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.034092Z digest=sha256:a046ae0e6047e627564d1d54f27a730eff313dbca4f7ccf9a9a0a8aa95af8dc1

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

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.038442Z digest=sha256:0541cd9c524fad25eb2885d15af76be4ed5c5c307395ee1b07779ad108e285ab

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

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.042735Z digest=sha256:7d5bb1a144b95f67cdd2f637ad03963fdd4427630d394cb82749e236a0d283a9

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

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.047057Z digest=sha256:8efd5eafdf9b91ab65114f97db7823170f5a4f8d48f5f8e654b51e14d3fabebf

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

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.051794Z digest=sha256:7b23c202cddb7a9537587494be5aef18618b5507cd0b5c9cbadf73079420482e

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

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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=sha256:4e11bc15e56003446a9d134b5c60a59f49f3738c0fbd7a8821378410d6efedd8

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.061951Z digest=sha256:1e018c09a7a3f83965e4783698c45510451fd5f8436316b49927a936620a5c74

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.066525Z digest=sha256:a1e50ff515dc8bddfffd014d141705da5eff2b2b5a914cc593158205f0d4f0df

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

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.071411Z digest=sha256:b9eb59bdf91b73044fa2df28ed622df859845eb0845537ae9313a78395ec34d5

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

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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:dfe6732e053b5affefbedcb325685a9f0b21bc8cf03ed8834f122cf36a624e3a

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

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.081132Z digest=sha256:11666c780414599f77ae3691121d205821ba067c58c3aad181eb33454e83c6fa

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.085945Z digest=sha256:697a39f461281a1d0cf2d6fd5770d49af5bd4702e055c063a1018924b559014a

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.090595Z digest=sha256:4361f742b1ea358de12f3594c9829ca2404b38cff598b43262b5003cb62079a7

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.095719Z digest=sha256:276c8f0311458985d6693999f23f16b6f23c0af0fdf87ef0cf8c58c456b03a80

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.100491Z digest=sha256:59614d7bd35ac699950cc97208ff52a023270a6be99e992ec64c9f3fa0ba10d3

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=sha256:51e34d246b57f964315084f9bea29607aa7e6fe840800597c34556f84edd73b9

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.109867Z digest=sha256:b6288df6787ffce15be6d21b6e6dbd93c2fe92c8cec16463c8bf313860ebd207

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.114739Z digest=sha256:49669036607dffeae4c2ad52e0cf090510a4140ab045fb4085098d795d2286b4

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

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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=sha256:38b72b6e437896adc1fb3fb3a619ee62bcd84ba514a7984dc71933514eb8cd01

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.124198Z digest=sha256:4b69b33f990213b327e733521b5cff32b3523c067a85d45bf187d9e44a7d6bf8

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=sha256:3fa90f8d5ad51cfb5bd7e355298844981e4e9d4794bc64393ba1baa2da872f3a

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.134024Z digest=sha256:4580e4e92cbae82d591ebb0ebcee007daecf2275cd9210d237df2ada6acf5bd5

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.138653Z digest=sha256:97983ad9c1863f3f3bc10415b7a176ced7ef32cd7e90c67def89cdc75adac71a

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

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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=sha256:4252cac9115e842d0753ac6b31d7761a0561fdad31b3860edb16f4617c2e283a

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.148418Z digest=sha256:9562c7a345f40180212c08fa10679e63567aaa00abb3aa77a4fd76327a3cd3cb

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.152786Z digest=sha256:a139444d476b49afe08915167c8c4a0d154875d87731a01ee1dde4fb49e01ce9

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.157340Z digest=sha256:99abaf7a651b738d7609ddddc9bac31dad98fa47e19b9531e598da0aacb5a351

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.161847Z digest=sha256:feaeb8be96b4242a0ade92beb5e5de2c557a31d203af230782e41de47adcf223

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.166163Z digest=sha256:cd8d94441885dddb9b5752b13184facccd351f2c4c3814303d41439d52a7d865

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.170880Z digest=sha256:243285d1d440510b7bf758761bef4f9139509627e6768879cd7c6ee6bad0816f

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.175586Z digest=sha256:04aa94f49db5affbe68bc494da8ef97473ab083a392ae7a6c87c74fdf1626f35

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.180276Z digest=sha256:5a814792197d9286ad2751df4cf35ef15e9dd196ea238465f65fac0ddd00ef9b

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=sha256:832067f04f1c0744c63fd05e6da713d87c9d5264634b2f6b53d714d5e3bf51b8

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.189655Z digest=sha256:d206661154769d6217b2705a66bcd5eeabbd4bd9cdf6107df0ad1cd93656ce76

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.193797Z digest=sha256:5c0cda2d1d80c2fc978f93d8795d48c410f5702b34546a01680af04fc7589fcf

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:c7558dfb36016a30256693e3e8344ab30f9d23c343f8b9b6c83660c34cbf31e8

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.202707Z digest=sha256:2a1296374ece01c53988dc18e01a5524500f31ba5c641d5cc2f52c8084029e38

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:de18c63ac09de316a459eac29faf5f886bdd8fd417b2085e29430c2c48391bee

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.212072Z digest=sha256:cc512a1d566f1569f13f16ed6fa4a427a97b26213eeeff8d67c26d8f00d9b87c

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.216609Z digest=sha256:9c1271be989f237a7a000d560aeef686b6c271507e97f55cdef548f9dc8f0744

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.221119Z digest=sha256:b813116bfc87945f26401cd9419015cf1b66b9198ba6cff6150f97942ecf8d01

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.226004Z digest=sha256:3bae78588b540b3bbd8df6eaee2fea626023ce003abe800e19e27155433d8c19

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=sha256:233b522e3728161b27b4355491101b3cbbf1e5f4a41c8a274aad01b6883579d3

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.235391Z digest=sha256:9b64f446c08c7dfc77498e0a5c14b270bcb66681bb38be66595ba4bd250ffc1a

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.240200Z digest=sha256:d163d8120c1a537729ae471e8edfadd5bcfb9ee4f51fcb34f6592a5bc5e013cd

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.245184Z digest=sha256:d3533374a1c41fac5e7a4613e7dac2dac615025b7cf7561bb3f4f2ecada9cd55

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.249860Z digest=sha256:f078466e8cccb2d15beae49f1fd287d682318d513461250a5d430344df25424b

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:e277f9c46654e5f5c77cc0ee8f70cb79fe5bfabe1f7cb21a8a0f1e0a5b47000d

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.259603Z digest=sha256:b662bf6198bc11fafa2664b1455512c3503aee58871a99a5d21b85fc2ce39d34

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.264257Z digest=sha256:4eef47103b6f0e4a5ed4c7c3b8f2406d18677730c3da0a6a06d860289117f385

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.268818Z digest=sha256:2ce7eb6e26169d2ba38e249e7d3b27dff5a116eebd96e4ccbb3d88fd1d5f72e0

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.273512Z digest=sha256:a5929294de44abfb58a4a35981e2b272d3a1f42ad20398fa47c0ce6e7a03c697

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.278038Z digest=sha256:b904b29468bf1ed4f658c7a3f13a921f9440945ad28436821ba39bdf80ef817d

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:d0b46a579dd6bcdf8fe617711a64a68910333c851ab1fc6a9cf6b9385595f66a

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.287518Z digest=sha256:695e8510cd5f3779e6228904fb62f482c27f08ee8a171bbbbed78e5fd8e768f6

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.292132Z digest=sha256:8a277b2f42adb757fa656bd814243b3687cc895568eee2a436e83604ca85d17c

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=sha256:9caf9ec3b5d6edaa156c385b1d1b32e702620faa21f6674a39c2255e54746805

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.301589Z digest=sha256:0965ab200c4c28931d463d17a4ec34b3a2f3568c0f876ec44a567f8d74321251

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=sha256:46c2b59173abbd2a2f616f5aa83fec2981d2419ad530d63d4aad0bdc5d4addd2

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=sha256:49af5bbcc706042f1f9969ec04c4f9655abbd36b48bc0db54fdb1a0e8800df85

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.316200Z digest=sha256:42c228d695233832c53fabe4380da2114441adb43707d8fa471187d5cea1cf74

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.321108Z digest=sha256:1e6d66b5a706aec1828e5b7f1c02d5425964ec7dc90e4a0e56676c823df64b21

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.325899Z digest=sha256:ab660f8e18be8c8c838843a2870f8f672a84fddf99547abe09d3314650f05044

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.330547Z digest=sha256:a33e62ebedb6cd8f1844e5a300abbdc0b40819eb748f180fe99f94a5a6cf490a

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.334788Z digest=sha256:b5f8514d4fd8d035f1d3b52a6baf006b8b90b9ce9304a9152d3998214af2ff33

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.338827Z digest=sha256:f0b396357d0d6c5651d48ed0ab7c06f0da00a98182847c0e0c76f21e51b589d9

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.343415Z digest=sha256:8d748bb944f6c204462ef6e40e180aa0f6ad90d5652e23d7af19bd310ae33db7

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.347489Z digest=sha256:221bf08aa83ad6f531211aa665746db05a4283314e937f7f5eed525fbc7b5d14

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.351584Z digest=sha256:af464b3e2619a1f609a92d2d8cabf4051a2a0b23a7568f79a6938554a524accf

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.356152Z digest=sha256:70adcd02ce4a88ce47aebbf5bca08decfe8f843e0c72ae8408ebdec7d0653706

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.360147Z digest=sha256:5f9c52298cc923707a2d2fe3e9134a62bda317855f10f9c555ea5ebd04296ef6

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T21:34:15.364506Z digest=sha256:fd0f12fe6136b4f21313dcbb094beec105c798be66ff2782337c045140c07cb7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T15:49:07.615637Z digest=sha256:d18af82e16042449dcc2ce9d170877799b779aaf4c9c5be294ac10e1950aee7a