Paper Citation Record · LEDGER

GNBAN: Graph Neural Basis Attention Networks for Long-Horizon Forecasting over Large Entity Sets

As of 11 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2606.27863.

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

pith.paper-citation-record.v1
2606.27863 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T04:40:51.660790Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

20 of 20 outbound references displayed

verified exact1
verified fuzzy0
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2089c2d5-1d35-4b47-b4f9-79a15c7bb0c8 · outbound

This paper cites M5 accuracy competition: Results, findings, and conclusions.International Journal of Forecasting, 38(4):1346–1364, 2022.

GNBAN: Graph Neural Basis Attention Networks for Long-Horizon Forecasting over Large Entity Sets M5 accuracy competition: Results, findings, and conclusions.International Journal of Forecasting, 38(4):1346–1364, 2022

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-29T04:40:51.660790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4629d3c-1521-45b5-bceb-562aafcfe989 · outbound

This paper cites Corporación favorita grocery sales forecasting.

GNBAN: Graph Neural Basis Attention Networks for Long-Horizon Forecasting over Large Entity Sets Corporación favorita grocery sales forecasting

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-29T04:40:51.660790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b0b3b5c-37d8-4030-978f-82ab4b0a3d8a · outbound

This paper cites Hyndman and George Athanasopoulos.Forecasting: Principles and Practice.

GNBAN: Graph Neural Basis Attention Networks for Long-Horizon Forecasting over Large Entity Sets Hyndman and George Athanasopoulos.Forecasting: Principles and Practice

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-29T04:40:51.660790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6d4c7fa-9607-424b-8e63-bba4d804e774 · outbound

This paper cites DeepAR: Probabilistic forecasting with autoregressive recurrent networks.International Journal of Forecasting, 36(3):1181–1191, 2020.

GNBAN: Graph Neural Basis Attention Networks for Long-Horizon Forecasting over Large Entity Sets DeepAR: Probabilistic forecasting with autoregressive recurrent networks.International Journal of Forecasting, 36(3):1181–1191, 2020

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-29T04:40:51.660790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 906dfa0c-ea93-4a8b-baea-0df7300fb863 · outbound

This paper cites Arık, Nicolas Loeff, and Tomas Pfister.

GNBAN: Graph Neural Basis Attention Networks for Long-Horizon Forecasting over Large Entity Sets Arık, Nicolas Loeff, and Tomas Pfister

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-29T04:40:51.660790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d778328-21e7-46c1-892b-245517396b65 · outbound

This paper cites Relational Deep Learning: Graph Representation Learning on Relational Databases.

GNBAN: Graph Neural Basis Attention Networks for Long-Horizon Forecasting over Large Entity Sets Relational Deep Learning: Graph Representation Learning on Relational Databases

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:43:55.195708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a41be8bc-6206-423a-a93c-7c60bd60f215 · outbound

This paper cites RelBench: A benchmark for deep learning on relational databases.

GNBAN: Graph Neural Basis Attention Networks for Long-Horizon Forecasting over Large Entity Sets RelBench: A benchmark for deep learning on relational databases

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-29T04:40:51.660790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3b77348-1fc3-4a0c-8b98-d5c8a9280ff4 · outbound

This paper cites Oreshkin, Dmitri Carpov, Nicolas Chapados, and Yoshua Bengio.

GNBAN: Graph Neural Basis Attention Networks for Long-Horizon Forecasting over Large Entity Sets Oreshkin, Dmitri Carpov, Nicolas Chapados, and Yoshua Bengio

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-29T04:40:51.660790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16a2b5b9-ef2b-4503-b0bd-534b2294f8f1 · outbound

This paper cites Olivares, Boris N.

GNBAN: Graph Neural Basis Attention Networks for Long-Horizon Forecasting over Large Entity Sets Olivares, Boris N

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-29T04:40:51.660790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4e7a728-4618-44c0-bcf4-126889324a5d · outbound

This paper cites Autoformer: Decomposition transformers with auto- correlation for long-term series forecasting.

GNBAN: Graph Neural Basis Attention Networks for Long-Horizon Forecasting over Large Entity Sets Autoformer: Decomposition transformers with auto- correlation for long-term series forecasting

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-29T04:40:51.660790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc34963f-1fbb-4625-8ead-c8306e0570a6 · outbound

This paper cites The M4 competition: 100,000 time series and 61 forecasting methods.International Journal of Forecasting, 36(1):54–74, 2020.

GNBAN: Graph Neural Basis Attention Networks for Long-Horizon Forecasting over Large Entity Sets The M4 competition: 100,000 time series and 61 forecasting methods.International Journal of Forecasting, 36(1):54–74, 2020

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-29T04:40:51.660790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29e3baac-7a1f-42b7-aba0-ab21012add8a · outbound

This paper cites Deep factors for forecasting.

GNBAN: Graph Neural Basis Attention Networks for Long-Horizon Forecasting over Large Entity Sets Deep factors for forecasting

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-29T04:40:51.660790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72955c02-8cd1-4409-b240-71ec2ee53ef5 · outbound

This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting.

GNBAN: Graph Neural Basis Attention Networks for Long-Horizon Forecasting over Large Entity Sets Informer: Beyond efficient transformer for long sequence time-series forecasting

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-29T04:40:51.660790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27c62dd9-8adf-4cd4-bb54-ec74100cc093 · outbound

This paper cites Nguyen, Phanwadee Sinthong, and Jayant Kalagnanam.

GNBAN: Graph Neural Basis Attention Networks for Long-Horizon Forecasting over Large Entity Sets Nguyen, Phanwadee Sinthong, and Jayant Kalagnanam

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-29T04:40:51.660790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9d8de19-6041-4dd2-95bf-f78e02a27892 · outbound

This paper cites TimesNet: Temporal 2D-variation modeling for general time series analysis.

GNBAN: Graph Neural Basis Attention Networks for Long-Horizon Forecasting over Large Entity Sets TimesNet: Temporal 2D-variation modeling for general time series analysis

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-29T04:40:51.660790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf64ebe1-809d-403a-a5e7-73de35536938 · outbound

This paper cites Spatio-temporal graph convolutional networks: A deep learning framework for traffic forecasting.

GNBAN: Graph Neural Basis Attention Networks for Long-Horizon Forecasting over Large Entity Sets Spatio-temporal graph convolutional networks: A deep learning framework for traffic forecasting

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-29T04:40:51.660790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9a375d8-eb51-4832-a5b7-01a1110e7246 · outbound

This paper cites Graph wavenet for deep spatial-temporal graph modeling.

GNBAN: Graph Neural Basis Attention Networks for Long-Horizon Forecasting over Large Entity Sets Graph wavenet for deep spatial-temporal graph modeling

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-29T04:40:51.660790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af49df53-b7f0-41cf-a0db-8e032c70833f · outbound

This paper cites Connecting the dots: Multivariate time series forecasting with graph neural networks.

GNBAN: Graph Neural Basis Attention Networks for Long-Horizon Forecasting over Large Entity Sets Connecting the dots: Multivariate time series forecasting with graph neural networks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-29T04:40:51.660790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 222dda5e-988a-4c1f-a861-e1c32c19a505 · outbound

This paper cites Adaptive graph convolutional recurrent network for traffic forecasting.

GNBAN: Graph Neural Basis Attention Networks for Long-Horizon Forecasting over Large Entity Sets Adaptive graph convolutional recurrent network for traffic forecasting

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-29T04:40:51.660790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c10c65b8-709e-4ea3-8eff-d397f496ee3a · outbound

This paper cites M5 Forecasting – Accuracy: Estimate the unit sales of walmart retail goods.

GNBAN: Graph Neural Basis Attention Networks for Long-Horizon Forecasting over Large Entity Sets M5 Forecasting – Accuracy: Estimate the unit sales of walmart retail goods

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-29T04:40:51.660790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.