Paper Citation Record · LEDGER

Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks

As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2506.14472.

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

pith.paper-citation-record.v1
2506.14472 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:23:49.725109Z

measured 26 of 26 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 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

26 of 26 outbound references displayed

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verified fuzzy8
unresolved15
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 21ed6e18-8ab0-4fdb-98cf-cd8de2430a0b · outbound

This paper cites In: Proceedings of the AAAI conference on artificial intelligence.

Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks In: Proceedings of the AAAI conference on artificial intelligence

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:53.981416Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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This paper cites Ap- plied Energy 195, 659–670 (2017).https://doi.org/https://doi.org/10.1016/ j.apenergy.2017.03.034, https://www.sciencedirect.com/science/article/ pii/S0306261917302581.

Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks Ap- plied Energy 195, 659–670 (2017).https://doi.org/https://doi.org/10.1016/ j.apenergy.2017.03.034, https://www.sciencedirect.com/science/article/ pii/S0306261917302581

Reference 2

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Observation 674718ba-a2e6-4eae-a6a6-a0650d9e0513 · outbound

This paper cites In: 2022 IEEE 28th Interna- tional Conference on Parallel and Distributed Systems (ICPADS).

Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks In: 2022 IEEE 28th Interna- tional Conference on Parallel and Distributed Systems (ICPADS)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:53.436225Z

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Observation d5fcfae8-33c2-4662-a2fd-801d42903043 · outbound

This paper cites HyperTime: Implicit Neural Representation for Time Series.

Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks HyperTime: Implicit Neural Representation for Time Series

Reference 4

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Observation ba0e64b7-66ff-4e53-bb8b-3292630407be · outbound

This paper cites T-Rep: Representation Learning for Time Series using Time-Embeddings.

Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks T-Rep: Representation Learning for Time Series using Time-Embeddings

Reference 5

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Source-reported events for the cited work

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Observation d09e5c5b-fa76-4293-befa-765381db6629 · outbound

This paper cites CAAI Transactions on Intelligence Technology7(1), 1–25 (2022).

Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks CAAI Transactions on Intelligence Technology7(1), 1–25 (2022)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:53.160294Z

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.

Observation 4eb60917-ef5b-494d-80d7-433ce1ceaaa8 · outbound

This paper cites HyperNetworks.

Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks HyperNetworks

Reference 7

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Observation 90e41a2a-ec77-4280-8e45-32514d2c566d · outbound

This paper cites Inter- national Journal of Forecasting32(3), 914–938 (2016).

Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks Inter- national Journal of Forecasting32(3), 914–938 (2016)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:46.809602Z

Source-reported events for the cited work

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Observation 8e8b1629-417e-46d4-8f6e-8deece23aab8 · outbound

This paper cites Neural computation3(1), 79–87 (1991).

Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks Neural computation3(1), 79–87 (1991)

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:47.061693Z

Source-reported events for the cited work

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Observation 56987efc-ed59-4497-9c91-3e02a470e990 · outbound

This paper cites Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping.

Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:47.220663Z

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Observation 3f28f4ed-cc24-460f-b362-2bb897dcbe7d · outbound

This paper cites iTransformer: Inverted Transformers Are Effective for Time Series Forecasting.

Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

Reference 11

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Observation ffa123ef-4c9e-471d-a0c4-216278242d4c · outbound

This paper cites In: International Conference on Artificial Intelligence and Statis- tics.

Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks In: International Conference on Artificial Intelligence and Statis- tics

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:52.841718Z

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.

Observation 5c5d9f7b-4d07-4a9d-ae74-30a5e7983ffb · outbound

This paper cites A Time Series is Worth 64 Words: Long-term Forecasting with Transformers.

Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 13

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Observation 0371225e-b416-48f2-8d29-097f7e6032a1 · outbound

This paper cites Neural Discrete Representation Learning.

Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks Neural Discrete Representation Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:47.847692Z

Source-reported events for the cited work

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Observation 726379fb-a3aa-43f1-b7ad-7416e14306e6 · outbound

This paper cites N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks N-BEATS: Neural basis expansion analysis for interpretable time series forecasting

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:47.969846Z

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Observation 8d023f15-6d4d-4f43-969c-622a15694690 · outbound

This paper cites IEEE Transactions on Automatic Control 19(6), 723–730 (1974).

Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks IEEE Transactions on Automatic Control 19(6), 723–730 (1974)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:52.589762Z

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.

Observation bdba5179-0032-44db-a190-24802ec71404 · outbound

This paper cites IEEE Access9, 95949–95969 (2021).

Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks IEEE Access9, 95949–95969 (2021)

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:48.336440Z

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Observation c0ddea83-4529-48ad-b5ad-b6bdc8b5fdab · outbound

This paper cites Advances in neural information pro- cessing systems 30 (2017).

Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks Advances in neural information pro- cessing systems 30 (2017)

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:48.496027Z

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Observation b1e6f944-8204-477a-94b0-a16a49b4067e · outbound

This paper cites IEEE Transactions on Smart Grid10(3), 3125–3148 (May 2019).

Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks IEEE Transactions on Smart Grid10(3), 3125–3148 (May 2019)

Reference 19

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Source-reported events for the cited work

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Observation ab45fef1-1cf0-4332-8198-4b5f8b6fdc6e · outbound

This paper cites IEEE transactions on smart grid 7(5), 2437–2447 (2016).

Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks IEEE transactions on smart grid 7(5), 2437–2447 (2016)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:52.253485Z

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.

Observation 13486d8b-6a59-4242-86ae-f3d4fc4b81b4 · outbound

This paper cites TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables.

Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:48.947867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b806a0ae-c53e-4cd8-8072-b7aa9d0bf0da · outbound

This paper cites Advances in neural information processing systems 34, 22419–22430 (2021).

Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks Advances in neural information processing systems 34, 22419–22430 (2021)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:51.968947Z

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.

Observation 9f5df336-056c-4ed5-8e7b-893e87f1e5bf · outbound

This paper cites CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting.

Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting

Reference 23

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Observation 7d7fad28-31f9-4c08-8f74-34c2cc49d463 · outbound

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Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks Unresolved cited work

Reference 24

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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.

Observation c42fe88a-793b-4a7b-b9c8-10f77bc547c5 · outbound

This paper cites an unresolved cited work.

Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks Unresolved cited work

Reference 25

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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.

Observation d49cf440-6282-40d4-bc98-4d4324d9cac4 · outbound

This paper cites In: Proceed- ings of the AAAI conference on artificial intelligence.

Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks In: Proceed- ings of the AAAI conference on artificial intelligence

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:50.706744Z

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.

Pith citing papers

No inbound Pith citation observations are available.