Paper Citation Record · LEDGER

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism

As of 11 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2501.12136.

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

pith.paper-citation-record.v1
2501.12136 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:33:58.385600Z

measured 33 of 33 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

33 of 33 outbound references displayed

verified exact1
verified fuzzy10
unresolved22
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bc23351f-00bf-4048-beb7-2937ae5108a8 · outbound

This paper cites Zhang, Y.

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Zhang, Y

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T17:33:58.273491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03e949bf-7174-4a19-8c91-4406412b343f · outbound

This paper cites Federated Learning: Strategies for Improving Communication Efficiency.

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Federated Learning: Strategies for Improving Communication Efficiency

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T17:33:58.277285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e92e9d40-4388-4fa9-bd41-21d1498fd2fd · outbound

This paper cites McMahan, E.

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism McMahan, E

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T17:33:58.280957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fdffb9d-b62b-4d2e-8e1b-55586fe149f9 · outbound

This paper cites an unresolved cited work.

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:33:58.728848Z

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 c6ed6e9e-0747-45fd-92fb-7afd4d07af94 · outbound

This paper cites Zhang, X.

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Zhang, X

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:33:58.718421Z

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 93085199-b2ae-4156-812a-5997f59940bd · outbound

This paper cites an unresolved cited work.

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:33:58.706807Z

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 deac2c17-a3d1-435e-8ac3-ed865ea903a9 · outbound

This paper cites an unresolved cited work.

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:33:58.695535Z

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 724b5081-be85-4545-af87-5f30481a5e92 · outbound

This paper cites Huang, M.

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Huang, M

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:33:58.684353Z

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 ac33013b-b52d-46fe-9dac-bffe5b15d72d · outbound

This paper cites an unresolved cited work.

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:33:58.672744Z

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 5c14e3ff-b5c2-45e9-93e7-d4301a2b2317 · outbound

This paper cites Alzoubi, Machine learning for intelligent energy consumption in smart homes, International Journal of Computations, Information and Manufacturing (IJCIM) 2 (1) (2022).

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Alzoubi, Machine learning for intelligent energy consumption in smart homes, International Journal of Computations, Information and Manufacturing (IJCIM) 2 (1) (2022)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:33:58.662612Z

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 6c279a91-742f-4683-9427-898cbeebfccb · outbound

This paper cites Kim, D.-H.

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Kim, D.-H

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:33:58.651757Z

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 35193540-987b-4411-b26f-9771dc5b6288 · outbound

This paper cites an unresolved cited work.

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:33:58.641583Z

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 d92e75e3-e124-4df1-bc51-b291e9b6f805 · outbound

This paper cites Zheng, Y.

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Zheng, Y

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:33:58.632067Z

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 f366b806-f736-47ee-a1f1-709961e818ca · outbound

This paper cites Islam, A.

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Islam, A

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T17:33:58.320914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2610ef71-6a7d-4b45-aec8-8c1de808494d · outbound

This paper cites an unresolved cited work.

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:33:58.616473Z

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 a513eea8-69c4-40af-a25d-678603e6d813 · outbound

This paper cites Kim, S.-B.

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Kim, S.-B

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:33:58.606618Z

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 a3d7047f-de69-4a0c-ab5d-16526a88c3fa · outbound

This paper cites Benecki, D.

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Benecki, D

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:33:58.596179Z

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 5e3e5f48-bcb5-4e54-bf1d-dd85fddfb68b · outbound

This paper cites an unresolved cited work.

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:33:58.585548Z

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 3cf1eabe-9840-421d-8dd8-c955f40180b3 · outbound

This paper cites an unresolved cited work.

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:33:58.575229Z

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 eb005f86-a6ac-490f-85f4-c81044946a5b · outbound

This paper cites Geiping, H.

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Geiping, H

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:33:58.564596Z

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 5aa0e0bc-7a58-46fc-915d-74a6eee969fd · outbound

This paper cites Learning to Detect Malicious Clients for Robust Federated Learning.

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Learning to Detect Malicious Clients for Robust Federated Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T17:33:58.345141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb01eefd-82a4-4e14-944a-8a06988fddae · outbound

This paper cites Tolpegin, S.

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Tolpegin, S

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:33:58.554315Z

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 6b060cbb-a5e4-4fc0-886a-61541ceb5cd3 · outbound

This paper cites an unresolved cited work.

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:33:58.543496Z

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 c72f2ad7-a182-4230-b95f-87d2234af8cb · outbound

This paper cites an unresolved cited work.

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:33:58.531767Z

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 14d7a7fd-e4c0-4b1b-9a81-33a8c89ea563 · outbound

This paper cites Heterogeneous Federated Learning.

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Heterogeneous Federated Learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T17:33:58.358797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e7eb4f6-dade-409f-b720-20a5c93d9205 · outbound

This paper cites an unresolved cited work.

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:33:58.520686Z

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 1c5d084a-e028-46e6-ba2d-389a7b19b8b3 · outbound

This paper cites an unresolved cited work.

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:33:58.510548Z

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 b6effc4e-263e-4510-bca7-9a94b5b480d9 · outbound

This paper cites an unresolved cited work.

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:33:58.499687Z

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 19606550-94aa-4a57-a35e-16bba4ebed41 · outbound

This paper cites an unresolved cited work.

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:33:58.489340Z

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 275aec76-a681-49c8-919a-8bb45f78ade2 · outbound

This paper cites an unresolved cited work.

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:33:58.479373Z

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 4c174c9b-afff-4a8f-9ebc-a17b31039065 · outbound

This paper cites an unresolved cited work.

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:33:58.469884Z

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 9698f747-aef0-4bea-a2af-8e95a9148d7e · outbound

This paper cites Li, D.-C.

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Li, D.-C

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:33:58.459498Z

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 61c97387-e7a5-43aa-96f0-b813121362e7 · outbound

This paper cites Choudhry, S.

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Choudhry, S

Reference 33

Resolution: verified exact; doi, observed 2026-08-10T17:33:58.417469Z

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.

Pith citing papers

No inbound Pith citation observations are available.