Paper Citation Record · LEDGER

Empirical Assessment of Time-Series Foundation Models For Power System Forecasting Applications

As of 4 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2604.22077.

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

pith.paper-citation-record.v1
2604.22077 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-09T20:34:23.881276Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

17 of 17 outbound references displayed

verified exact3
verified fuzzy5
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch7

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a8996c79-9c0f-4442-8a48-cc7f98f84601 · outbound

This paper cites Chronos: Learning the Language of Time Series.

Empirical Assessment of Time-Series Foundation Models For Power System Forecasting Applications Chronos: Learning the Language of Time Series

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T08:27:23.855695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1c9a3c86-6f99-44ea-899b-bb8d2c5d904b · outbound

This paper cites Advances in neural information processing systems 33, 1877–1901.

Empirical Assessment of Time-Series Foundation Models For Power System Forecasting Applications Advances in neural information processing systems 33, 1877–1901

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T11:19:24.227999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation be76e8dc-2c89-4779-8554-8a7423643bb4 · outbound

This paper cites Technical Report.

Empirical Assessment of Time-Series Foundation Models For Power System Forecasting Applications Technical Report

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T11:19:24.219696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2ffe7ef6-33ef-4a8a-99d1-148e8cd6675e · outbound

This paper cites Energy Economics 130, 107304.

Empirical Assessment of Time-Series Foundation Models For Power System Forecasting Applications Energy Economics 130, 107304

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T11:19:24.225045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation deb5aec1-ed01-4fe0-a3bf-cda7a175c6ac · outbound

This paper cites Advances in Neural Information Processing Systems 37, 74147–74181.

Empirical Assessment of Time-Series Foundation Models For Power System Forecasting Applications Advances in Neural Information Processing Systems 37, 74147–74181

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T11:19:24.222579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9a0e9756-0da1-46d9-b963-46ba28318fd7 · outbound

This paper cites MOMENT: A Family of Open Time-series Foundation Models.

Empirical Assessment of Time-Series Foundation Models For Power System Forecasting Applications MOMENT: A Family of Open Time-series Foundation Models

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:11:05.664195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7a7f1723-8a24-406c-bef4-eaf6f880517d · outbound

This paper cites Time2Vec: Learning a Vector Representation of Time.

Empirical Assessment of Time-Series Foundation Models For Power System Forecasting Applications Time2Vec: Learning a Vector Representation of Time

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:11:05.684405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 99bfe11f-2746-4a97-84fb-d8ac9632224b · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Empirical Assessment of Time-Series Foundation Models For Power System Forecasting Applications Adam: A Method for Stochastic Optimization

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T15:11:05.643344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fa81ecf6-3f7e-459e-8455-1a381b22e002 · outbound

This paper cites Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts.

Empirical Assessment of Time-Series Foundation Models For Power System Forecasting Applications Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:11:05.621307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b9d24da0-bac1-4779-a639-e49cf2af8c36 · outbound

This paper cites an unresolved cited work.

Empirical Assessment of Time-Series Foundation Models For Power System Forecasting Applications Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-05-24T11:19:24.233763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d218711d-54f4-4c17-856a-8430371d69d2 · outbound

This paper cites arXiv preprint arXiv:2410.09487.

Empirical Assessment of Time-Series Foundation Models For Power System Forecasting Applications arXiv preprint arXiv:2410.09487

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:11:05.580994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0bb779a1-305c-45fd-990f-e97a93970bed · outbound

This paper cites A Survey of Deep Learning and Foundation Models for Time Series Forecasting.

Empirical Assessment of Time-Series Foundation Models For Power System Forecasting Applications A Survey of Deep Learning and Foundation Models for Time Series Forecasting

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:11:05.628769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 04331cee-cf6e-4dfc-91bf-84208717d949 · outbound

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

Empirical Assessment of Time-Series Foundation Models For Power System Forecasting Applications A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T19:17:50.778615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0d4df862-58f4-402a-8202-9347d29ecbb5 · outbound

This paper cites Exploringthelimitsoftransferlearningwith a unified text-to-text transformer.

Empirical Assessment of Time-Series Foundation Models For Power System Forecasting Applications Exploringthelimitsoftransferlearningwith a unified text-to-text transformer

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T11:19:24.236486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e35bf3d7-d39f-4045-b526-95a2d6f984d1 · outbound

This paper cites an unresolved cited work.

Empirical Assessment of Time-Series Foundation Models For Power System Forecasting Applications Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-05-24T11:19:24.231541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4ffafded-2113-4849-95b4-a5dc0209f85b · outbound

This paper cites Specialized Foundation Models Struggle to Beat Supervised Baselines.

Empirical Assessment of Time-Series Foundation Models For Power System Forecasting Applications Specialized Foundation Models Struggle to Beat Supervised Baselines

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:11:05.604080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a7eb7710-fef2-4ea4-bf32-60aea165dcd0 · outbound

This paper cites arXiv preprint arXiv:2405.02358 , year =.

Empirical Assessment of Time-Series Foundation Models For Power System Forecasting Applications arXiv preprint arXiv:2405.02358 , year =

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:11:05.593346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

No inbound Pith citation observations are available.