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Paper Citation Record · LEDGER

From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2004.00574.

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

pith.paper-citation-record.v1
2004.00574 v1

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:33:43.987522Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T23:22:47.037531Z

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 cfe4f49f-1211-4a75-aa76-69f96cd23ef3 · inbound

KoopAGRU: A Koopman-based Anomaly Detection in Time-Series using Gated Recurrent Units cites this paper.

KoopAGRU: A Koopman-based Anomaly Detection in Time-Series using Gated Recurrent Units From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-10T04:33:43.987522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:33:43.987522Z digest=sha256:e744ba65e0bac33b2c2b17f4faaf0e20a7c9caa1f1cbea52c922cc9c138d7799

Observation 26fdc5fa-a216-400a-9c26-d8011ee1d6b4 · inbound

Flow map learning in nonlinear vector autoregressive models: influence of the feature-library structure on the training error cites this paper.

Flow map learning in nonlinear vector autoregressive models: influence of the feature-library structure on the training error From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction

Reference 107

Resolution
verified exact
arxiv_id, observed 2026-06-28T23:22:47.038846Z

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.

source=pdf_text observed=2026-06-28T23:19:08.971339Z digest=sha256:f492cd7a304eeae9e4d13ce93ec829e2af718a89ac11ce34b4806f3466ccc598