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Paper Citation Record · LEDGER

TimeGPT in Load Forecasting: A Large Time Series Model Perspective

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.04885.

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

pith.paper-citation-record.v1
2404.04885 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:31:30.241724Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:26:37.675727Z

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 dff6cc5a-488a-48cd-b754-458f2e34739a · inbound

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection cites this paper.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection TimeGPT in Load Forecasting: A Large Time Series Model Perspective

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T20:31:30.241724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:31:30.241724Z digest=sha256:d0fbe13f0e146750b6be249a70a751372a5560ab8ae2544604930f7d8c02ff2e

Observation 6e50c36c-fc72-46ce-b8be-55105977d6fd · inbound

A Survey of AIOps in the Era of Large Language Models cites this paper.

A Survey of AIOps in the Era of Large Language Models TimeGPT in Load Forecasting: A Large Time Series Model Perspective

Reference 72

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:26:37.679608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:26:36.761324Z digest=sha256:6f038f6e0c71994d1649b371c7db0160320c531e8cdf52fc50a832b3a061a749