Paper Citation Record · LEDGER

GATGPT: A Pre-trained Large Language Model with Graph Attention Network for Spatiotemporal Imputation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2311.14332.

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

pith.paper-citation-record.v1
2311.14332 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:49:47.079865Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T07:26:03.200422Z

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 044dd646-6e31-4617-a781-6ec98a234a7d · inbound

Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review cites this paper.

Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review GATGPT: A Pre-trained Large Language Model with Graph Attention Network for Spatiotemporal Imputation

Reference 183

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:47.079865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86b57bef-24ec-47b7-8a5d-6199ff8010e8 · inbound

Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates cites this paper.

Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates GATGPT: A Pre-trained Large Language Model with Graph Attention Network for Spatiotemporal Imputation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T00:54:49.768384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dee0cc1e-a9ed-4c4a-b6d3-4f9fb63833ec · inbound

A Survey of AIOps in the Era of Large Language Models cites this paper.

A Survey of AIOps in the Era of Large Language Models GATGPT: A Pre-trained Large Language Model with Graph Attention Network for Spatiotemporal Imputation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T23:26:36.567073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f2f40d2-fb90-44ea-a737-591673b2c2a4 · inbound

Vision-LLMs for Spatiotemporal Traffic Forecasting cites this paper.

Vision-LLMs for Spatiotemporal Traffic Forecasting GATGPT: A Pre-trained Large Language Model with Graph Attention Network for Spatiotemporal Imputation

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-18T07:26:03.204849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e5035c00-ea9c-4c70-b36b-1e1fffca1bb6 · inbound

Mobility-Embedded POIs: Learning What A Place Is and How It Is Used from Human Movement cites this paper.

Mobility-Embedded POIs: Learning What A Place Is and How It Is Used from Human Movement GATGPT: A Pre-trained Large Language Model with Graph Attention Network for Spatiotemporal Imputation

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-03T07:08:33.790110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94d7fc85-18b9-4b55-90cc-423f4c12e477 · inbound

U-STS-LLM A Unified Spatio-Temporal Steered Large Language Model for Traffic Prediction and Imputation cites this paper.

U-STS-LLM A Unified Spatio-Temporal Steered Large Language Model for Traffic Prediction and Imputation GATGPT: A Pre-trained Large Language Model with Graph Attention Network for Spatiotemporal Imputation

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:47:26.321143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.