Paper Citation Record · LEDGER

Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.00502.

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

pith.paper-citation-record.v1
2407.00502 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:58:14.632165Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T16:51:48.005953Z

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 53c79134-c298-4887-9131-a99b1d8ae533 · inbound

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting cites this paper.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T15:58:14.632165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5230c7e4-8254-4967-8090-7f8e9b768fc8 · inbound

MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification cites this paper.

MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T22:33:25.638814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5814df1-c6f8-4b61-954b-48a2df4abb1b · inbound

Non-stationary Diffusion For Probabilistic Time Series Forecasting cites this paper.

Non-stationary Diffusion For Probabilistic Time Series Forecasting Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-22T16:51:48.008898Z

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.

Observation 03bea598-88a9-466e-a51f-906dc0b40f2a · inbound

SeesawNet: Towards Non-stationary Time Series Forecasting with Balanced Modeling of Common and Specific Dependencies cites this paper.

SeesawNet: Towards Non-stationary Time Series Forecasting with Balanced Modeling of Common and Specific Dependencies Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:58:29.231652Z

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.