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Paper Citation Record · LEDGER

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting

As of 21 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 6 inbound Pith citation observations for arXiv:2505.17431.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.17431 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:53:56.997059Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T01:06:48.551264Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:27:36.236593Z

Reference resolution

50 of 50 outbound references displayed

  • verified exact3
  • verified fuzzy28
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0523c608-c6e2-40b8-91ef-d1c46a7d5cb5 · outbound

This paper cites write newline.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting write newline

Reference 1

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unresolved
no resolver link, observed 2026-08-07T14:53:52.771858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:53:52.771858Z digest=sha256:abc315f2b9a0ef5fbe95c4e5f42de956b062b1beabc2cbd6ea34b9ef247ca686

Observation cab3a747-f3e2-4e85-8e2b-1f0fc06b1602 · outbound

This paper cites S., Januschowski, T., and Günnemann, S.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting S., Januschowski, T., and Günnemann, S

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-07T14:54:06.223868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:52.826383Z digest=sha256:909675c1c92fb7dbe84302a3bbc52eea13cea95c271cf61173920205c4cee1df

Observation ccc757b5-9aee-4ac1-87d6-e408fb8bc9da · outbound

This paper cites Recurrent Neural Networks for Multivariate Time Series with Missing Values.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Recurrent Neural Networks for Multivariate Time Series with Missing Values

Reference 3

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unresolved
no resolver link, observed 2026-08-07T14:53:52.865265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:53:52.865265Z digest=sha256:937f8ac94c8fcfe5181d52a2a209eeac47e337b0ace2a44fa24b513de3719629

Observation 50efc921-5d34-4b8c-85e6-71c14254b739 · outbound

This paper cites O., Yoder, N.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting O., Yoder, N

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-07T14:54:06.066498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:52.933362Z digest=sha256:430d49f0b878e55f4e8b1eca69f1594b1455bd50af7873b7caedd206febf373e

Observation 10ad4495-3a20-4399-a14b-ed80a6b1bf50 · outbound

This paper cites R., Li, J., Zhang, X., Hong, D., Gupta, R.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting R., Li, J., Zhang, X., Hong, D., Gupta, R

Reference 5

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verified exact
doi, observed 2026-08-07T14:53:57.614768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:53.044738Z digest=sha256:26c6b4dd369de54437a8edd6c7aac362742e546726a867e64e8c1f57cd8cc802

Observation 3bf09e83-20f1-4ec8-a5e8-0fdf0bfd2565 · outbound

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

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Filling the G \_ap\_s: Multivariate Time Series Imputation by Graph Neural Networks

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:54:05.882685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:53.138777Z digest=sha256:eedaccdd0fe5b7c5d9e00a381d87f385b83fb8504332e7c1c925f548b8b85e82

Observation 0a6399f4-d9f1-4c1e-9293-7a1c2dc3ffa1 · outbound

This paper cites Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-07T14:54:05.615224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:53.245716Z digest=sha256:18508b2775350e98d925875d930626a14a3e77079a272cd3818f222a7685ffa9

Observation 64cdfac5-1839-4662-b7eb-d400a675d42e · outbound

This paper cites GRU-ODE-Bayes : Continuous Modeling of Sporadically-Observed Time Series.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting GRU-ODE-Bayes : Continuous Modeling of Sporadically-Observed Time Series

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:54:05.311511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:53.361599Z digest=sha256:3224defaf1642ff3a7f49540fd71e6856557fbee8fd3518a693107cb5cc73030

Observation dd513e14-0f57-47a3-815c-a7edc97cb17f · outbound

This paper cites HGNN +: General Hypergraph Neural Networks.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting HGNN +: General Hypergraph Neural Networks

Reference 9

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unresolved
no resolver link, observed 2026-08-07T14:53:53.477207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:53:53.477207Z digest=sha256:b0f54955836fc57db84df05845f069b31cd2cad2cda7463c3e1e73d1a6dafc57

Observation db42482a-3a31-4be0-a744-3c73cb298594 · outbound

This paper cites and Dao, T.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting and Dao, T

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-07T14:54:05.134670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:53.588383Z digest=sha256:c694976011f39f8b8d8367fdbecd5edb7e570db5809620af33fbb9a4a2e137b7

Observation d7899f00-0704-458c-8f45-e069884fa5d7 · outbound

This paper cites BigST : Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting BigST : Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:53.687799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:53:53.687799Z digest=sha256:83e296d251483322b9ae1c40a14d6857d55b1bc11421a5eaa647daf0d01cb244

Observation 73328a48-1b02-4e67-bb54-0e72f8f8838f · outbound

This paper cites Set Functions for Time Series.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Set Functions for Time Series

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:54:04.822728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:53.744022Z digest=sha256:9e02aa26f3436dfb348dcb3f690df8023f354966e69853d7a601e5c5424ff688

Observation 69de58b6-3cb4-4252-aad1-ac204cb99b94 · outbound

This paper cites an unresolved cited work.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Unresolved cited work

Reference 13

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unresolved
no resolver link, observed 2026-08-07T14:53:53.855675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:53:53.855675Z digest=sha256:fdaa44e0992639325b35e60f574d6d5e55d2dbad31e46776c8ed5753cf5bb46a

Observation 7414c27c-bc8a-4c2e-b62a-62b0ed0c6676 · outbound

This paper cites an unresolved cited work.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Unresolved cited work

Reference 14

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unresolved
no resolver link, observed 2026-08-07T14:53:53.955906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:53:53.955906Z digest=sha256:cfd405fc56de3e5ca3d7782a83c5fa148da06b752d8ac61d8bd15a6611e01c90

Observation 531904a6-0918-4f3f-99d4-d21515f1c313 · outbound

This paper cites Reformer: The Efficient Transformer.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Reformer: The Efficient Transformer

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:54:04.537126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:54.060227Z digest=sha256:a66d37738a01d0aa8d1c9e3a4cfdebc7a2dcd224eb1f3d74a69c0b5524058339

Observation 9b65cfa9-0bca-45e6-b253-276a965f4cd7 · outbound

This paper cites Spatial- Temporal Hypergraph Self-Supervised Learning for Crime Prediction.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Spatial- Temporal Hypergraph Self-Supervised Learning for Crime Prediction

Reference 16

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unresolved
no resolver link, observed 2026-08-07T14:53:54.204684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:53:54.204684Z digest=sha256:5a8524cb3eefbd061ca72d1137819ae02b6b68943195f5b00ae5ff1969be7407

Observation 17102ab5-3c89-4781-a9e2-d3f90c1817f8 · outbound

This paper cites iTransformer : Inverted Transformers Are Effective for Time Series Forecasting.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting iTransformer : Inverted Transformers Are Effective for Time Series Forecasting

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:54:04.233324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:54.365362Z digest=sha256:dd40447e8fe3e30bcb9e4f6ef8f88c9c6b9524273a0bb0d035cf3457f15c6e64

Observation 519fd68a-de1d-4eae-863d-20c27d3bb3f4 · outbound

This paper cites Directed hypergraph attention network for traffic forecasting.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Directed hypergraph attention network for traffic forecasting

Reference 18

Resolution
verified exact
doi, observed 2026-08-07T14:53:57.424997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:54.417151Z digest=sha256:2cfee20a85509e5666871619fd384da169d5058e8974f7da19fbe84241fd36e3

Observation 4a82925c-435c-466f-8545-dd16447a2e08 · outbound

This paper cites Knowledge- Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Knowledge- Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:54:03.854660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:54.505523Z digest=sha256:9a4b1c715ffe348f32cc82d31eae3eaf75296690603718fefebd125bb0787d44

Observation 47c0ab36-ad2d-42d1-879a-e260c3117add · outbound

This paper cites Long-term daily and monthly climate records from stations across the contiguous united states (u.s.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Long-term daily and monthly climate records from stations across the contiguous united states (u.s

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:54.590462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:53:54.590462Z digest=sha256:d41e8c59a98145b6fd35701288fad1771780197c39b40ff63151892a2613c1a5

Observation 24dc7acb-ee04-4ec4-9448-57edb5855022 · outbound

This paper cites Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:54:03.549640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:54.658221Z digest=sha256:764f420a53356a6666b26acc1b2cee31fea3a20115664af4077fa1df5f306800

Observation 342ca2f9-2ab1-49ac-a483-051c9bccea7c · outbound

This paper cites H., Sinthong, P., and Kalagnanam, J.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting H., Sinthong, P., and Kalagnanam, J

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:54:03.300947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:54.696090Z digest=sha256:2fc6e7fcba8d8fc933db79856bfa3ced2e5e525fb8ef7f6feb672a8ef23b5169

Observation fda543fd-c43e-4ad8-b09a-0ba22590360f · outbound

This paper cites an unresolved cited work.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:54:03.064606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:54.771197Z digest=sha256:5fd17ecded5615aba3fec49a0db854253417f666cdfc6073545ae3b509769bca

Observation f7998daf-322c-4a3b-8907-c6825cfe930c · outbound

This paper cites an unresolved cited work.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Unresolved cited work

Reference 24

Resolution
verified exact
doi, observed 2026-08-07T14:53:57.238425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:54.843460Z digest=sha256:69f518fec72e4e2f6776d168d5093dde82aa59f8e5ca1c381724905ae8e89a20

Observation daa7eff6-b24f-4e24-bf00-691fc1f85464 · outbound

This paper cites Modeling Irregular Time Series with Continuous Recurrent Units.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Modeling Irregular Time Series with Continuous Recurrent Units

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:54:02.895290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:54.925305Z digest=sha256:9b25ec0aea103889e8021d3561af8db54e79036f4e2f3bf7af56a249b2b11e49

Observation c5d02501-6312-4f32-b496-ca9125b20210 · outbound

This paper cites Ada- MSHyper : Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Ada- MSHyper : Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:54:02.708744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:55.000204Z digest=sha256:a8b3b6f4fbc3ba75fe8181b8f087dd3f986593aaf9ceb27d443663eb15fd0639

Observation 3f79c25e-50de-4208-9e89-ef50938b4bae · outbound

This paper cites an unresolved cited work.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:54:02.469413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:55.069169Z digest=sha256:a2e4beb6b5c402bde2ad8aa10867f5088c872c3411572816ad6b35e3524e1281

Observation 6972be38-be87-4142-81ce-30829009c414 · outbound

This paper cites an unresolved cited work.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:54:02.114074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:55.139353Z digest=sha256:f5371a8af0a280c8ad9f5d5c87dc4e740b608f5be0e135394489554e9332464b

Observation 80985cdb-30cd-4c2a-9e5a-8aede0e67b60 · outbound

This paper cites A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:55.176025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:53:55.176025Z digest=sha256:97a4d5fe8e988a9c23f0de84b8025c04cb269276f15867c89d1a723f4bad4668

Observation 17920fbe-9d6f-4ea9-8648-0819a97eed44 · outbound

This paper cites J., Celi, L.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting J., Celi, L

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:55.242410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:53:55.242410Z digest=sha256:5d0b0ae2bc848c9038141301d765de684af116859290f4f5815486574ee240ac

Observation a1ccc966-d760-4ad1-bb31-73a552fa5a63 · outbound

This paper cites CSDI : Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting CSDI : Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:54:01.726117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:55.302291Z digest=sha256:96c1fbc4ee81e1cff4fb1bd08e0c471a446b1358a4ae880b9a79af564f18ac3e

Observation 691f417a-2613-4225-a4ac-43f717e06c97 · outbound

This paper cites DiffSTG : Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models , 2023.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting DiffSTG : Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models , 2023

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:54:01.361957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:55.378842Z digest=sha256:739f7f0682d2e1d274a5072561351ae92387a775c1b89c52760c23c25ddf7801

Observation 027ad003-de64-4b22-8871-527a759a0dd3 · outbound

This paper cites Unified Training of Universal Time Series Forecasting Transformers.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Unified Training of Universal Time Series Forecasting Transformers

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:54:01.084042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:55.434512Z digest=sha256:3b8c9e822a84e45abe11fbde444fc62b7955d3d282a24594ffeafebe53d3130c

Observation dc2c87a3-9878-487a-ad9e-81edb53f19d5 · outbound

This paper cites Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:54:00.871405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:55.484292Z digest=sha256:9ffe3af18272f2ed93f4633581d7d79d85762dda12e0c7bacff36aa770742088

Observation a3c62f0e-c9d0-4542-a7f6-331290f476b1 · outbound

This paper cites TimesNet : Temporal 2D-Variation Modeling for General Time Series Analysis.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting TimesNet : Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:54:00.662038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:55.545619Z digest=sha256:788880f9430b790c119c4a02ffdba852e07f55985c18b53dc9f87852aee4c964

Observation bef88917-6eae-40ab-a399-b70e2a329ff3 · outbound

This paper cites Connecting the Dots : Multivariate Time Series Forecasting with Graph Neural Networks.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Connecting the Dots : Multivariate Time Series Forecasting with Graph Neural Networks

Reference 36

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unresolved
no resolver link, observed 2026-08-07T14:53:55.610626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:53:55.610626Z digest=sha256:b08060327f901c2ce764b9ec9ea01fea5c5bdffc2c0c4f90bf83457a0da8bf10

Observation 9fbe3634-44a0-4ac3-96c5-d7cdb1f2df9b · outbound

This paper cites K., Madhusudhanan, K., Scholz, R., Ahmed, N., Burchert, J., Jawed, S., Born, S., and Schmidt-Thieme, L.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting K., Madhusudhanan, K., Scholz, R., Ahmed, N., Burchert, J., Jawed, S., Born, S., and Schmidt-Thieme, L

Reference 37

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unresolved
no resolver link, observed 2026-08-07T14:53:55.694827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:53:55.694827Z digest=sha256:7b837935438839cfe8c8b9cbc52ccb5c005ebf77dfea1955bc7a2d1f9aa5b2d2

Observation 3c34940c-0b4d-4a98-a0b8-4bf6f10a9aff · outbound

This paper cites Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:54:00.424954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:55.741166Z digest=sha256:0db3a969a64f300fe58f8986abe3a62d94b0b401bb4f79edbdc55e6b6f5fd35e

Observation 8f71ee7e-3ff6-4790-a07a-3a6422532082 · outbound

This paper cites FourierGNN : Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting FourierGNN : Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:54:00.177831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:55.829888Z digest=sha256:a83b274379352d0cf0307bfefc81ef44044fde4fb77932cc87c28c32cabe3f4a

Observation 782f6582-eb51-4ceb-b821-ffd30814984c · outbound

This paper cites J., and Leskovec, J.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting J., and Leskovec, J

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-07T14:53:59.932210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:55.915428Z digest=sha256:337c6c5f3cf169b452c97dc9344fa22653a094e5d3e024b7bd47e385561cb65c

Observation 7c4fbf0c-37a0-4c23-b656-75012dd65ca8 · outbound

This paper cites I., Qin, J., and Wang, S.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting I., Qin, J., and Wang, S

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:53:59.498102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:56.033489Z digest=sha256:934ad3cf95105af42b1b5aaa2e1f85bbc5b87567a0d30ae3a811be674f5d579c

Observation f3d788d3-3c8d-4600-9c53-97157a999038 · outbound

This paper cites Adaptive Hypergraph Learning and its Application in Image Classification.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Adaptive Hypergraph Learning and its Application in Image Classification

Reference 42

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unresolved
no resolver link, observed 2026-08-07T14:53:56.085454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:53:56.085454Z digest=sha256:beca2afc46fae1a72a25a7735e2fc812e3337374c197a826347db2aa3acfa9fe

Observation 6dc8d68c-447d-4e74-8392-f395239b7f39 · outbound

This paper cites Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:56.173739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:53:56.173739Z digest=sha256:4004e7958e0a629bf361bf6823fe6e462aba5817a394980f67b483820aaf1246

Observation 62b15337-1497-41d8-8985-299c7a68a804 · outbound

This paper cites Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:56.258120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:53:56.258120Z digest=sha256:f6fdc0431f3493d0c9db9b8893dceaca304be1adc79e4d202e30a38cfb68f7c2

Observation e8da3ebe-fd24-4494-8077-d5b26834bf75 · outbound

This paper cites Irregular Multivariate Time Series Forecasting : A Transformable Patching Graph Neural Networks Approach.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Irregular Multivariate Time Series Forecasting : A Transformable Patching Graph Neural Networks Approach

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:53:59.327007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:56.402181Z digest=sha256:a78d6fd4d8dcc65edd80c7b5e26fbd26409a2da24f791a641f8a190ab17279df

Observation 6d2fbe20-b074-4d31-8dd2-e88843c92a98 · outbound

This paper cites Graph- Guided Network for Irregularly Sampled Multivariate Time Series.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Graph- Guided Network for Irregularly Sampled Multivariate Time Series

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:53:59.071310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:56.483158Z digest=sha256:27b8cc0e8a2cb5a352379f717ce952aa9a34bac599db4bd12f25ab58111dc0db

Observation 9caa0d7d-15e6-4ca8-9c95-f659c0e48c53 · outbound

This paper cites and Yan, J.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting and Yan, J

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:53:58.743973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:56.552684Z digest=sha256:91efe19718474a5fc0d19857feab6ca59aabf14642168ccb5fcadb2c3193815f

Observation ea393625-2ba6-4159-9db0-632e2f49b8e9 · outbound

This paper cites Learning with Hypergraphs : Clustering , Classification , and Embedding.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Learning with Hypergraphs : Clustering , Classification , and Embedding

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:53:58.465355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:56.709680Z digest=sha256:663d64525e3f4206d6dd68294f6032f8646d93f28835abcd9c65c9cd57c70f01

Observation 33f25953-76fa-42cb-ad99-585bb0026ada · outbound

This paper cites Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:56.861158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:53:56.861158Z digest=sha256:a3f753c5d8602d3e0a315a743af2a18eb5d2a616c2430e5adde6b055b0017c3e

Observation 129b5e04-b4a5-427b-8516-e33a3a0f868f · outbound

This paper cites FEDformer : Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting FEDformer : Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:53:58.292414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T14:53:56.997059Z digest=sha256:79d34eb21349276e401828938cb5b7f3912885c21885817f56f3215a435d941a

Pith citing papers

Observation 53cdb638-b99c-4070-b889-a6d996fcfd17 · inbound

AlphaCast: A Human Wisdom-LLM Intelligence Co-Reasoning Framework for Interactive Time Series Forecasting cites this paper.

AlphaCast: A Human Wisdom-LLM Intelligence Co-Reasoning Framework for Interactive Time Series Forecasting HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:10:26.118868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-17T23:07:55.891663Z digest=sha256:09d8a2e056fa457e35a0949e90e98a5311bef507548e44859eb3e0de28f01f93

Observation 358a2069-a9d7-4c7e-8f96-713b8dd87bc9 · inbound

What If We Let Forecasting Forget? A Sparse Bottleneck for Cross-Variable Dependencies cites this paper.

What If We Let Forecasting Forget? A Sparse Bottleneck for Cross-Variable Dependencies HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:31:26.969284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-12T02:36:18.686443Z digest=sha256:bac60f3cee6498a37f7d30db655fcba2fd6e1101b96500fe85e2d0ea7631d97f

Observation 06931047-42e2-46b7-b5cf-aefb83288fe9 · inbound

Online Irregular Multivariate Time Series Forecasting via Uncertainty-Driven Dual-Expert Calibration cites this paper.

Online Irregular Multivariate Time Series Forecasting via Uncertainty-Driven Dual-Expert Calibration HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-06-29T14:33:30.768803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T14:25:00.789053Z digest=sha256:c7d5f94e427f895c3aa48c81946a28d20888959ad283c2006b5aaa1d15b53071

Observation 28104c79-d57a-45a4-bb32-e0a5f43b3949 · inbound

LakeFM: Toward a Foundation Model for Aquatic Ecosystems Using Irregular Multivariate Multi-depth Time Series Data cites this paper.

LakeFM: Toward a Foundation Model for Aquatic Ecosystems Using Irregular Multivariate Multi-depth Time Series Data HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-03T04:27:36.238076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T13:58:35.729820Z digest=sha256:977132626d1dec8643f78166b63c8b4263a42eaf3984a2422e7072548ed2d10d

Observation 332455c3-0083-47dc-ac45-b9e54fc49bd6 · inbound

A Cost-Effective Multimodal LLM Reasoning Framework for Question Answering over Irregular Clinical Time Series cites this paper.

A Cost-Effective Multimodal LLM Reasoning Framework for Question Answering over Irregular Clinical Time Series HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting

Reference 2025

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unresolved
no resolver link, observed 2026-08-01T01:06:48.551264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:06:48.551264Z digest=sha256:fe84a8ac8680fcc074b7d962b92b7c906c4d07400ccdde23a1254a4222bba7ee

Observation 91e0e232-ff15-4128-afdb-462bf0d1d075 · inbound

Enhancing Irregular Time Series Forecasting with Continuous-Time Modeling Framework cites this paper.

Enhancing Irregular Time Series Forecasting with Continuous-Time Modeling Framework HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-31T19:49:55.529294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T19:49:55.529294Z digest=sha256:144b8700b4db0e50505cc1b236d36031d1ac124f5e09d2f8db845add6900160f