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Paper Citation Record · LEDGER

The Proper Use of Google Trends in Forecasting Models

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2104.03065.

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

pith.paper-citation-record.v1
2104.03065 v3

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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T02:19:45.304397Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T18:15:58.371476Z

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 9c119838-9142-4ef2-b763-1adc3c24399a · inbound

Forecasting Commencing Enrolments Under Data Sparsity: A Zero-Shot Time Series Foundation Models Framework for Higher Education Planning cites this paper.

Forecasting Commencing Enrolments Under Data Sparsity: A Zero-Shot Time Series Foundation Models Framework for Higher Education Planning The Proper Use of Google Trends in Forecasting Models

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-16T02:37:10.329286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T02:35:57.370778Z digest=sha256:172229066bd364e54d2a930149801ccb3733883c70c55841eb8b567bbb5336f7

Observation 2187d523-cc09-491f-a84a-590ed43950a1 · inbound

Quantifying Demand Shocks in the Green and Digital Transition cites this paper.

Quantifying Demand Shocks in the Green and Digital Transition The Proper Use of Google Trends in Forecasting Models

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-07-01T18:15:58.373101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-29T02:19:45.304397Z digest=sha256:63345fa8bedd09bc30ffc5f2b7da02107174740c1b38f33f88194a3ff6be1864