Paper Citation Record · LEDGER

Graph Deep Learning for Time Series Forecasting

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.15978.

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

pith.paper-citation-record.v1
2310.15978 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:01:27.272133Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T18:43:19.063599Z

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 f804ae03-3af1-4d85-85eb-b61da52a2990 · inbound

Interpreting Temporal Graph Neural Networks with Koopman Theory cites this paper.

Interpreting Temporal Graph Neural Networks with Koopman Theory Graph Deep Learning for Time Series Forecasting

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:43:19.065589Z

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 4de3d25f-dfa5-4d28-b0e3-013853517c0b · inbound

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting cites this paper.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting Graph Deep Learning for Time Series Forecasting

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T18:01:27.272133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6d291d5-3456-49c8-a1ee-b4828d3f59d4 · inbound

Globalization for Scalable Short-term Load Forecasting cites this paper.

Globalization for Scalable Short-term Load Forecasting Graph Deep Learning for Time Series Forecasting

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T17:09:15.166931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0561a60-4e80-425b-8e13-8fe4944493ca · inbound

Boosting Team Modeling through Tempo-Relational Representation Learning cites this paper.

Boosting Team Modeling through Tempo-Relational Representation Learning Graph Deep Learning for Time Series Forecasting

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-19T03:47:02.475429Z

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 5de0e5c8-fc62-4f47-9cf1-2a5b6359a3bb · inbound

Bridge: Retrieval-Augmented Spatiotemporal Modeling for Urban Delivery Demand cites this paper.

Bridge: Retrieval-Augmented Spatiotemporal Modeling for Urban Delivery Demand Graph Deep Learning for Time Series Forecasting

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:48:15.235521Z

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.