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Paper Citation Record · LEDGER

FreDF: Learning to Forecast in the Frequency Domain

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.02399.

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

pith.paper-citation-record.v1
2402.02399 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:48:13.324794Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T13:06:23.940383Z

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 ac462b1b-a1ab-4d0c-9265-a7ee475210a7 · inbound

TimeCF: A TimeMixer-Based Model with adaptive Convolution and Sharpness-Aware Minimization Frequency Domain Loss for long-term time seris forecasting cites this paper.

TimeCF: A TimeMixer-Based Model with adaptive Convolution and Sharpness-Aware Minimization Frequency Domain Loss for long-term time seris forecasting FreDF: Learning to Forecast in the Frequency Domain

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T14:48:13.324794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:13.324794Z digest=sha256:a5f00fecb1c2458ddad37c4c7678dcfd2e5667442663762fa43206b1a78766e6

Observation 3c66027c-5bf5-4b57-9c28-7deabb07c3d9 · inbound

KARMA: A Multilevel Decomposition Hybrid Mamba Framework for Multivariate Long-Term Time Series Forecasting cites this paper.

KARMA: A Multilevel Decomposition Hybrid Mamba Framework for Multivariate Long-Term Time Series Forecasting FreDF: Learning to Forecast in the Frequency Domain

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T05:02:42.677549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:02:42.677549Z digest=sha256:c436b41ea8acea8a6f9b262fdb2635337374443e6df9191db40ead672163b897

Observation 01d428bf-8c0d-4d78-bcbb-f76c0f3977be · inbound

ReNF: Rethinking the Design of Neural Long-Term Time Series Forecasters cites this paper.

ReNF: Rethinking the Design of Neural Long-Term Time Series Forecasters FreDF: Learning to Forecast in the Frequency Domain

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-18T13:06:23.943680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T13:03:25.032299Z digest=sha256:d26d00e8f244e092caf5206f0020ea9b9c7d3c0d788dca61de8832eab39f7e73

Observation 99e109fb-5398-41d4-af23-4df5c4d5f342 · inbound

Dual-Prototype Disentanglement: A Context-Aware Enhancement Framework for Time Series Forecasting cites this paper.

Dual-Prototype Disentanglement: A Context-Aware Enhancement Framework for Time Series Forecasting FreDF: Learning to Forecast in the Frequency Domain

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-03T08:34:27.084596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:34:27.084596Z digest=sha256:4524c78fe6cb60b273c5238675a75dfe8f6dfdf9938639865f5d5dd94c336770

Observation fc0716bb-69f5-4bb8-99d5-a781785cac15 · inbound

From Observations to States: Latent Time Series Forecasting cites this paper.

From Observations to States: Latent Time Series Forecasting FreDF: Learning to Forecast in the Frequency Domain

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-16T09:07:39.312935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T09:03:49.988075Z digest=sha256:1cc22c619dedcafb9b6672c712ba0a6216ac43e927a1c584966df0a1e90376ed

Observation 38024d40-185a-43af-b311-1a594a3027cb · inbound

AdaMamba: Adaptive Frequency-Gated Mamba for Long-Term Time Series Forecasting cites this paper.

AdaMamba: Adaptive Frequency-Gated Mamba for Long-Term Time Series Forecasting FreDF: Learning to Forecast in the Frequency Domain

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:41:12.446397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T08:18:28.691714Z digest=sha256:c82aae35e4696e1587a58f765b852ed918dcf8b4f8ddc2b4d0ac1afb0e022c88