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Paper Citation Record · LEDGER

Adaptive Probabilistic Forecasting of Electricity (Net-)Load

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2301.10090.

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

pith.paper-citation-record.v1
2301.10090 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-24T06:50:10.178954Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T06:54:03.740441Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
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  • 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 e917bc81-6652-4d86-a7a5-3a4f438f9e0c · inbound

Human spatial dynamics for electricity demand forecasting: the case of France during the 2022 energy crisis cites this paper.

Human spatial dynamics for electricity demand forecasting: the case of France during the 2022 energy crisis Adaptive Probabilistic Forecasting of Electricity (Net-)Load

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-24T06:54:03.743270Z

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.

source=pdf_text observed=2026-05-24T06:50:10.178954Z digest=sha256:26a6976f991c1fa1315ca6cec14fd93d08e475a9d1b698a6651290c8a40050ad