Paper Citation Record · LEDGER

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting

As of 17 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2505.00302.

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

pith.paper-citation-record.v1
2505.00302 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:51:32.837306Z

measured 28 of 28 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

verified exact0
verified fuzzy17
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 819fc8eb-38b3-4f70-b0ea-db8e2c08e32b · outbound

This paper cites Natural computing 18, 747–756 (2019).

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting Natural computing 18, 747–756 (2019)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:51:33.218859Z

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.

Observation 9a8d57fa-bb33-4f69-b5da-6fdf40850ccd · outbound

This paper cites Statistics and Decision Mak- ing 11(11), 23–25 (2009).

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting Statistics and Decision Mak- ing 11(11), 23–25 (2009)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:51:33.205964Z

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.

Observation 9121bc72-70be-441d-8a86-e953b408ddb3 · outbound

This paper cites In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, pp.

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, pp

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:51:33.193237Z

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.

Observation 120ae8e9-852f-4cbb-89d4-2de22feb9af9 · outbound

This paper cites Neural Computation 9(8), 1735–1780 (1997).

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting Neural Computation 9(8), 1735–1780 (1997)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:51:33.180351Z

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.

Observation 2ce7232d-9b14-47ac-9962-68dec41b048e · outbound

This paper cites Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework.

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T04:51:32.736882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2d55918-05a8-436c-810e-a2faffd853fb · outbound

This paper cites In: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, pp.

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting In: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, pp

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:51:33.168233Z

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.

Observation 4e4830ad-b2e7-466d-9122-b1375ed2ce71 · outbound

This paper cites Machine Learning 108, 1421–1441 (2019).

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting Machine Learning 108, 1421–1441 (2019)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:51:33.156167Z

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.

Observation a87c22d5-61cf-4035-a5ba-86e7292b5e0e · outbound

This paper cites Discrete Graph Structure Learning for Forecasting Multiple Time Series.

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting Discrete Graph Structure Learning for Forecasting Multiple Time Series

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T04:51:32.753182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75f09648-284d-4a31-9d61-262d4999232d · outbound

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

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T04:51:32.757544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 951aa5a8-3256-4b7a-b53c-743764378aaf · outbound

This paper cites Graph WaveNet for Deep Spatial-Temporal Graph Modeling.

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T04:51:32.761929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 263ebc5b-d0e0-4c2c-bb36-2e5b1eb62218 · outbound

This paper cites Advances in neural information processing systems 29 (2016).

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting Advances in neural information processing systems 29 (2016)

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T04:51:32.766130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7bc3cc6-0256-4619-be4e-db6a5da092b8 · outbound

This paper cites In: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp.

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting In: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:51:33.135750Z

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.

Observation 4f72967c-a7a7-460f-9ace-f41e79721a61 · outbound

This paper cites Con- trol and Decision 37(3), 645–653 (2022).

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting Con- trol and Decision 37(3), 645–653 (2022)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:51:33.123041Z

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.

Observation b4d14fac-3306-446b-9955-62561d374b46 · outbound

This paper cites Advances in neural information processing systems 33, 17804–17815 (2020).

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting Advances in neural information processing systems 33, 17804–17815 (2020)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:51:33.109825Z

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.

Observation b6699a25-a4ed-44af-b82b-0b2defd65f4a · outbound

This paper cites In: Proceedings of the AAAI Con- ference on Artificial Intelligence, vol.

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting In: Proceedings of the AAAI Con- ference on Artificial Intelligence, vol

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:51:33.095051Z

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.

Observation 83b80b2a-5841-4426-9467-118717feea1c · outbound

This paper cites Spatio-Temporal Graph Scattering Transform.

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting Spatio-Temporal Graph Scattering Transform

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-08-16T04:51:32.926706Z

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.

Observation 40923701-38f5-42bb-ade2-2d2b5f8990c2 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelli- gence, vol.

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting In: Proceedings of the AAAI Conference on Artificial Intelli- gence, vol

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:51:33.082829Z

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.

Observation 087a3292-f5ea-42a2-9ac8-a550700c3c61 · outbound

This paper cites IEEE Transac- tions on Intelligent Transportation Systems 23(2), 1009–1018 (2020).

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting IEEE Transac- tions on Intelligent Transportation Systems 23(2), 1009–1018 (2020)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:51:33.069752Z

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.

Observation fcfd150d-2a1d-4d4c-958a-1507e3fc03ac · outbound

This paper cites In: ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting In: ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:51:33.055138Z

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.

Observation ca4b5dc2-97a2-4500-9ed7-bb89ec50d484 · outbound

This paper cites A Survey on Graph Structure Learning: Progress and Opportunities.

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting A Survey on Graph Structure Learning: Progress and Opportunities

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T04:51:32.802798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f467b0d-1905-43a1-ad7c-6dbe4b6d3f00 · outbound

This paper cites Advances in neural information processing systems 33, 18648–18660 (2020).

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting Advances in neural information processing systems 33, 18648–18660 (2020)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:51:33.042491Z

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.

Observation 2dd8ac5f-873f-49f2-93c0-7faf4f1b49a0 · outbound

This paper cites In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp.

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:51:33.029583Z

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.

Observation c8b7b976-627f-4799-8f2d-a46ecd1a2eb0 · outbound

This paper cites Advances in neural information processing systems 30 (2017).

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting Advances in neural information processing systems 30 (2017)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:51:33.016019Z

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.

Observation 4912b511-2a3f-4f19-98a7-bfd1ec064672 · outbound

This paper cites IEEE Transactions on Intelli- gent Transportation Systems 14(2), 871–882 (2013) 12.

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting IEEE Transactions on Intelli- gent Transportation Systems 14(2), 871–882 (2013) 12

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:51:33.003689Z

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.

Observation 615d23d3-ea7a-496c-93ec-ad5983c78886 · outbound

This paper cites Advances in neural information processing systems 27 (2014).

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting Advances in neural information processing systems 27 (2014)

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T04:51:32.824751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af1bd123-aa68-459b-9374-7f287d8b376f · outbound

This paper cites WaveNet: A Generative Model for Raw Audio.

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting WaveNet: A Generative Model for Raw Audio

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T04:51:32.828444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b430c9e-ba6d-4252-b903-e5dd89be6c57 · outbound

This paper cites GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs.

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T04:51:32.832958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 746e74ef-2414-48ad-bdcb-b854f32b77dd · outbound

This paper cites Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting.

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T04:51:32.837306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.