Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Combining predictive distributions of electricity prices: Does minimizing the CRPS lead to optimal decisions in day-ahead bidding?
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2308.15443.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T14:31:23.058684Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T03:07:11.791936Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation fbe523b0-8ba2-433f-b73e-7361178c8d5b · inbound
Deep Learning for Electricity Price Forecasting: A Review of Day-Ahead, Intraday, and Balancing Electricity Markets cites this paper.
Deep Learning for Electricity Price Forecasting: A Review of Day-Ahead, Intraday, and Balancing Electricity Markets Combining predictive distributions of electricity prices: Does minimizing the CRPS lead to optimal decisions in day-ahead bidding?
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T03:07:11.795691Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 354e9ceb-cdb7-4de1-9b29-fb44e972de03 · inbound
Probabilistic Forecasting for Day-ahead Electricity Prices, Battery Trading Strategies and the Economic Evaluation of Predictive Accuracy cites this paper.
Probabilistic Forecasting for Day-ahead Electricity Prices, Battery Trading Strategies and the Economic Evaluation of Predictive Accuracy Combining predictive distributions of electricity prices: Does minimizing the CRPS lead to optimal decisions in day-ahead bidding?
Reference 36
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T01:04:50.043818Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 24862492-a908-4d04-ad8a-9b97693a5211 · inbound
A Comparison of High-Dimensional Variable Selection Procedures for Electricity Spot Price Forecasting cites this paper.
A Comparison of High-Dimensional Variable Selection Procedures for Electricity Spot Price Forecasting Combining predictive distributions of electricity prices: Does minimizing the CRPS lead to optimal decisions in day-ahead bidding?
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:31:23.058684Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.