Paper Citation Record · LEDGER

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

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2307.03759.

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

pith.paper-citation-record.v1
2307.03759 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:37:07.201913Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:47:22.969498Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b229574c-657f-49bf-a619-6720cbecf3f2 · inbound

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models cites this paper.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Reference 86

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:03:17.118849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2d1925aa-304b-4cb1-ac69-edd8a2a2c425 · inbound

Universal Time-Series Representation Learning: A Survey cites this paper.

Universal Time-Series Representation Learning: A Survey A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Reference 92

Resolution: verified exact; arxiv_id, observed 2026-05-24T04:28:53.395021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 010bcf1d-1cfd-4efb-bdc4-964d7c5a84da · inbound

Deep Time Series Models: A Comprehensive Survey and Benchmark cites this paper.

Deep Time Series Models: A Comprehensive Survey and Benchmark A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:05:51.482984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bbb4c418-c40e-49d1-a24c-65772d4fd585 · inbound

Unveiling the Inflexibility of Adaptive Embedding in Traffic Forecasting cites this paper.

Unveiling the Inflexibility of Adaptive Embedding in Traffic Forecasting A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-12T18:37:07.201913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f29975f9-9ac6-43e4-8b7d-5acdb1190eaf · inbound

TAS-TsC: A Data-Driven Framework for Estimating Time of Arrival Using Temporal-Attribute-Spatial Tri-space Coordination of Truck Trajectories cites this paper.

TAS-TsC: A Data-Driven Framework for Estimating Time of Arrival Using Temporal-Attribute-Spatial Tri-space Coordination of Truck Trajectories A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T04:45:49.811273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bee75c76-0c53-45f4-a1b3-99c828c2d417 · inbound

Data Mining in Transportation Networks with Graph Neural Networks: A Review and Outlook cites this paper.

Data Mining in Transportation Networks with Graph Neural Networks: A Review and Outlook A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-10T11:40:55.541448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb994883-6a29-4485-9a74-fdf55c813a83 · inbound

MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification cites this paper.

MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T22:33:25.656097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc61ac0c-508a-49a1-9916-0dc45e37f450 · inbound

HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting cites this paper.

HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T05:44:46.503933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Relational Conformal Prediction for Correlated Time Series cites this paper.

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

Reference 37

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72b348b4-dded-41af-8636-b84f0196c0bc · inbound

GeoGNN: Time Series Geo-Localization using Two-Tower Graph Neural Networks cites this paper.

GeoGNN: Time Series Geo-Localization using Two-Tower Graph Neural Networks A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T20:47:22.970896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8f8a8d5c-11d6-4682-bf86-4a9b13a6e270 · inbound

ClouDens: Operational Context-Aware Anomaly Detection for Large-scale Cloud System Monitoring cites this paper.

ClouDens: Operational Context-Aware Anomaly Detection for Large-scale Cloud System Monitoring A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-01T15:58:08.361219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91749532-c95d-4dbe-bb63-7838089578fd · inbound

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems cites this paper.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:37.971727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.