Paper Citation Record · LEDGER

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting

As of 20 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2509.05768.

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

pith.paper-citation-record.v1
2509.05768 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:00:53.588543Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

25 of 25 outbound references displayed

verified exact1
verified fuzzy13
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e5dc314b-9966-46ad-a6ce-369482578b01 · outbound

This paper cites Uci machine learning repository, 2007.

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting Uci machine learning repository, 2007

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T05:00:53.474851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18bd928c-9123-4a61-aade-477a7d6cd3b6 · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T05:00:53.480066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59628078-28a0-4045-a693-1ddd16c1f14a · outbound

This paper cites an unresolved cited work.

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:00:54.139626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6f1cc622-9bbf-49b4-b729-2b47e50b2691 · outbound

This paper cites an unresolved cited work.

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:00:54.125514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d22c1bf1-1857-414d-9e05-12bab2f5716e · outbound

This paper cites Spectral temporal graph neural network for multivariate time-series forecasting.Advances in Neural Information Processing Systems (NeurIPS), 2020.

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting Spectral temporal graph neural network for multivariate time-series forecasting.Advances in Neural Information Processing Systems (NeurIPS), 2020

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:00:54.111606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6194d66b-4283-4b9c-b8bc-0880a11ef5ef · outbound

This paper cites Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting.

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T05:00:53.630196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4c6e1015-db2e-4524-bed0-5b194c5f8db5 · outbound

This paper cites Reformer: The efficient transformer.

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting Reformer: The efficient transformer

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:00:54.097552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d1a797fb-aef7-45b1-8d1c-217cc91583c0 · outbound

This paper cites an unresolved cited work.

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:00:54.083399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7fa8ff23-e19c-43d3-83dc-35fe4fed5793 · outbound

This paper cites Multivariate time-series forecasting with tem- poral polynomial graph neural networks.

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting Multivariate time-series forecasting with tem- poral polynomial graph neural networks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:00:54.069858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e69ce1c1-deeb-48a5-ba64-04076201f000 · outbound

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

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting Oreshkin, Dmitri Carpov, Nicolas Chapados, and Yoshua Bengio

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:00:54.055534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b0159edd-0162-4df2-b64a-b2b9dc1049f6 · outbound

This paper cites Entso-e electricity data repository, 2024.

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting Entso-e electricity data repository, 2024

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:00:54.026802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7c054f63-cc18-4a02-bb6d-8ed6b85a6698 · outbound

This paper cites an unresolved cited work.

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:00:54.013054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 33a4329e-1f7b-4d85-91c7-9d29dd44d89e · outbound

This paper cites an unresolved cited work.

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:00:53.999364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 22a040cc-e4aa-43e6-9eaf-d7c76f9c756e · outbound

This paper cites Zhang, and Jun Zhou.

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting Zhang, and Jun Zhou

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:00:53.985276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e4e7fe1e-ac04-4587-a626-53c69da870aa · outbound

This paper cites Autoformer: Decomposition transformers with autocorrelation for long-term series forecasting.Ad- vances in Neural Information Processing Systems (NeurIPS), 2021.

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting Autoformer: Decomposition transformers with autocorrelation for long-term series forecasting.Ad- vances in Neural Information Processing Systems (NeurIPS), 2021

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:00:53.971529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c337cd67-e960-402a-8355-9f3a849a595d · outbound

This paper cites Timesnet: Tem- poral 2d-variation modeling for general time series analysis.International Conference on Learning Representations (ICLR), 2023.

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting Timesnet: Tem- poral 2d-variation modeling for general time series analysis.International Conference on Learning Representations (ICLR), 2023

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:00:53.957386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 94d30396-3944-4deb-b365-1a937ae3c75c · outbound

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

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting Connecting the dots: Multivariate time series forecasting with graph neural networks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:00:53.941956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ed83c8d1-5ec2-436e-977c-dddb343da2ae · outbound

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

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting Graph wavenet for deep spatial-temporal graph modeling

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:00:53.926251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dfd01da9-ff5d-4df0-8a99-22f2eaf37c1b · outbound

This paper cites FourierGNN: Rethinking multivariate time series forecasting from a pure graph perspective.

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting FourierGNN: Rethinking multivariate time series forecasting from a pure graph perspective

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:00:53.911427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7e859d09-a164-4d96-a64e-29ff703066aa · outbound

This paper cites Cliques of orders three and four in the Paley-type graphs.

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting Cliques of orders three and four in the Paley-type graphs

Reference 20

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T05:00:53.832322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3e059492-d401-4c2b-8b31-77b9a18d7847 · outbound

This paper cites Aggarwal, and Guo-Jun Qi.

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting Aggarwal, and Guo-Jun Qi

Reference 21

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-05T05:00:53.810748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a5562295-f159-41f9-9601-2f8d14ee405e · outbound

This paper cites an unresolved cited work.

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:00:53.896159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a6d5d1a3-120d-4a62-92a8-74121c51c821 · outbound

This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting.Proceedings of the AAAI Conference on Artificial Intelligence, 35(12):11106–11115, 2020.

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting Informer: Beyond efficient transformer for long sequence time-series forecasting.Proceedings of the AAAI Conference on Artificial Intelligence, 35(12):11106–11115, 2020

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:00:53.880672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a846fd03-8364-42dc-ada4-16994a302b30 · outbound

This paper cites Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting.

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:00:53.865112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5ddac94c-1728-49df-9284-4f9b4bb3ae5a · outbound

This paper cites an unresolved cited work.

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting Unresolved cited work

Reference 2020

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:00:54.041152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.