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Paper Citation Record · LEDGER

Graph Deep Learning for Time Series Forecasting

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:34:15.029093Z

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

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  • verified fuzzy0
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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T18:40:44.141686Z digest=sha256:e4fc306749a7e082349481125807ea60e863150ce6a3403d3b7dee54cdd32882

Observation ae9bad6e-85a9-45f0-985a-7a361a7133a8 · inbound

Relational Conformal Prediction for Correlated Time Series cites this paper.

Relational Conformal Prediction for Correlated Time Series Graph Deep Learning for Time Series Forecasting

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T21:34:15.029093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:34:15.029093Z digest=sha256:a9e99d6ea5fc8d20ab54cc01f3a187d1ce717170cfecd8f8e673cf464c391caa

Observation 9f53eb21-5b8c-4fae-b961-c9bb5c4187d5 · inbound

Learning to Predict Global Atrial Fibrillation Dynamics from Sparse Measurements cites this paper.

Learning to Predict Global Atrial Fibrillation Dynamics from Sparse Measurements Graph Deep Learning for Time Series Forecasting

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T21:26:16.767377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T21:26:16.767377Z digest=sha256:99e0699b49ab91ce803ef01601a22687dad4dbe83b193b47b0b4be43b0d8d830

Observation e61376ea-ad64-4121-8101-017e61bc9bed · inbound

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? cites this paper.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? Graph Deep Learning for Time Series Forecasting

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T20:22:40.262183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:22:40.262183Z digest=sha256:3254c76dd6982618f5d9681e5f85a11c9918dd5c08e1733942b89b6f7b6ef3e7

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.

source=pdf_text observed=2026-08-06T18:01:27.272133Z digest=sha256:ba96fbb89cb7c0d55cad76d74b2b7bf508e6f22b1fee12bde64231dbde8c41ae

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.

source=pdf_text observed=2026-08-06T17:09:15.166931Z digest=sha256:dbca75632b3a2c87ab52ad3378891ce4a36b089806a81a8006882094b91bfe10

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T03:43:01.418431Z digest=sha256:51ee2b69a7fe77c9646dcca65f6ebf2bfdde1ecf8c545c6ed33cf42de0d71732

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T11:43:29.621781Z digest=sha256:537d273c72ce626b45ed34b3283dbaebe627badbef519c95ec3bc2b411d69593