Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
FilterNet: Harnessing Frequency Filters for Time Series Forecasting
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2411.01623.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T22:33:25.755142Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T12:51:23.431227Z
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 2668916e-5e22-4089-8429-94d2050241a8 · 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 FilterNet: Harnessing Frequency Filters for Time Series Forecasting
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T22:33:25.755142Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6e6ad8f-bc76-43bb-9628-bb64eb89faf5 · inbound
From Local Patterns to Global Understanding: Cross-Stock Trend Integration for Enhanced Predictive Modeling cites this paper.
From Local Patterns to Global Understanding: Cross-Stock Trend Integration for Enhanced Predictive Modeling FilterNet: Harnessing Frequency Filters for Time Series Forecasting
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:03:22.810451Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 56b8b28b-12ca-47b4-8b21-a0cdb16f453d · inbound
Characteristic Root Analysis and Regularization for Linear Time Series Forecasting cites this paper.
Characteristic Root Analysis and Regularization for Linear Time Series Forecasting FilterNet: Harnessing Frequency Filters for Time Series Forecasting
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T12:51:23.434062Z
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.