Paper Citation Record · LEDGER

Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting

As of 10 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 2 inbound Pith citation observations for arXiv:2506.08113.

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

pith.paper-citation-record.v1
2506.08113 v2

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:23:45.296266Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T05:13:42.289948Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-19T17:47:42.067346Z

Reference resolution

23 of 23 outbound references displayed

verified exact3
verified fuzzy11
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b14e22db-4213-4192-b3d4-791d56d808e9 · outbound

This paper cites Unified Training of Universal Time Series Forecasting Transformers.

Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting Unified Training of Universal Time Series Forecasting Transformers

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T05:23:42.532263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 377d91a6-5550-4860-8892-24a697e08fb6 · outbound

This paper cites Electricity price forecasting: A review of the state-of-the-art with a look into the future,.

Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting Electricity price forecasting: A review of the state-of-the-art with a look into the future,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:23:49.165968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e9c7cd1d-3362-421d-bae0-2e3a28a90d0f · outbound

This paper cites Consolidated text: Commission Regulation (EU) 2015/1222 of 24 July 2015 establishing a guideline on capacity allocation and congestion management (Text with EEA relevance),.

Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting Consolidated text: Commission Regulation (EU) 2015/1222 of 24 July 2015 establishing a guideline on capacity allocation and congestion management (Text with EEA relevance),

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:23:48.937226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 856d5bf8-9c71-46a5-b95b-725274b79153 · outbound

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

Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting Chronos: Learning the Language of Time Series

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:23:42.861051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd4f393b-8511-4171-a93f-2dc8bff27d73 · outbound

This paper cites A decoder-only foundation model for time-series forecasting.

Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting A decoder-only foundation model for time-series forecasting

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T05:23:42.993493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d502245-2e05-4bd6-b8e3-cc9534cc1e38 · outbound

This paper cites Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts.

Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T05:23:43.082291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a369834d-7161-44a5-9429-3313fde7872a · outbound

This paper cites TimeGPT-1.

Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting TimeGPT-1

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T05:23:43.233445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abb042af-2946-4dfe-b16b-d2afe9abaa90 · outbound

This paper cites Financial Fine-tuning a Large Time Series Model.

Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting Financial Fine-tuning a Large Time Series Model

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T05:23:43.364606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94be4420-730c-415b-bea8-78daf0c89e04 · outbound

This paper cites Benchmarking Time Series Foundation Models for Short-Term Household Electricity Load Forecasting,.

Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting Benchmarking Time Series Foundation Models for Short-Term Household Electricity Load Forecasting,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T05:23:43.530727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ba60a16-2d1c-47d5-81b4-7cf523b14193 · outbound

This paper cites Bridging Smart Meter Gaps: A Benchmark of Statistical, Machine Learning and Time Series Foundation Models for Data Imputation.

Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting Bridging Smart Meter Gaps: A Benchmark of Statistical, Machine Learning and Time Series Foundation Models for Data Imputation

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:23:46.104142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f8656f39-aded-4b3b-80d8-9da926d105ab · outbound

This paper cites Large Language Model-based Bidding Behavior Agent and Market Sentiment Agent-Assisted Electricity Price Prediction,.

Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting Large Language Model-based Bidding Behavior Agent and Market Sentiment Agent-Assisted Electricity Price Prediction,

Reference 11

Resolution: verified exact; raw_fallback, observed 2026-08-07T05:23:45.827151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 77bc55ea-0c3a-4b43-add6-47bf1f7ce1d7 · outbound

This paper cites Energy Price Modelling: A Comparative Evaluation of four Generations of Forecasting Methods.

Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting Energy Price Modelling: A Comparative Evaluation of four Generations of Forecasting Methods

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:23:45.575106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9b174a14-e4cc-40a1-833c-0fc22d4c1742 · outbound

This paper cites Comparing Predictive Accuracy,.

Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting Comparing Predictive Accuracy,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:23:48.701632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2961a3ac-b99a-4e81-a1e2-e8f92ead979c · outbound

This paper cites StatsForecast: Lightning fast forecasting with statistical and econometric models,.

Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting StatsForecast: Lightning fast forecasting with statistical and econometric models,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:23:48.460964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 60688cf2-0d3f-4806-995c-6d298ada6b5b · outbound

This paper cites MSTL: A Seasonal-Trend Decomposition Algorithm for Time Series with Multiple Seasonal Patterns.

Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting MSTL: A Seasonal-Trend Decomposition Algorithm for Time Series with Multiple Seasonal Patterns

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T05:23:44.296961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b83f8469-0b6e-4972-a614-470b82d9d71f · outbound

This paper cites Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing,.

Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T05:23:44.409124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a7020fe-e39a-49ce-829c-605a0e5490fa · outbound

This paper cites Tyler, “MFLES,” 2024.

Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting Tyler, “MFLES,” 2024

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:23:48.105749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8eec67e2-c85f-40e2-81e2-e7097b9fd6d4 · outbound

This paper cites Scikit-learn: Machine Learning in Python,.

Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting Scikit-learn: Machine Learning in Python,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:23:47.840130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e220c380-2d89-4f85-bf77-8030ea551bf1 · outbound

This paper cites James, D.

Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting James, D

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:23:47.547009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 52ae7c2a-9e91-4a6f-9462-2bd039696a59 · outbound

This paper cites Statistical learning theory,.

Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting Statistical learning theory,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:23:47.240111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1b73c36d-8c25-4541-a1c2-9103804bb1de · outbound

This paper cites Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks,.

Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:23:47.000247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 776d607c-5c67-4db5-8ecc-8703a9e9281a · outbound

This paper cites Bidding Zone Technical Report 2021,.

Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting Bidding Zone Technical Report 2021,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:23:46.740292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0aff2012-0f70-484a-ac8b-161bc2ff3dc6 · outbound

This paper cites Variance Stabilizing Transformations for Electricity Spot Price Forecasting,.

Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting Variance Stabilizing Transformations for Electricity Spot Price Forecasting,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:23:46.461799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation 8ec0bd44-4ca3-4206-a8bd-1d6dd4e4e146 · inbound

EnergyAgentBench: Benchmarking LLM Agents on Live Energy Infrastructure Data cites this paper.

EnergyAgentBench: Benchmarking LLM Agents on Live Energy Infrastructure Data Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-19T17:47:42.069773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4b867d88-9d04-41e7-8f92-d66f7ea3b0d9 · inbound

EnergyAgentBench: Benchmarking LLM Agents on Live Energy Infrastructure Data cites this paper.

EnergyAgentBench: Benchmarking LLM Agents on Live Energy Infrastructure Data Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T05:13:42.289948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.