Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.18479.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:04:13.539446Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T10:57:05.472163Z
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 a5a1e9c7-a8cf-4085-a3e8-dc283cfe86da · inbound
A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting cites this paper.
A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:04:13.539446Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d464a0aa-2f7a-4cf4-923c-85d32e95bb51 · inbound
LightGTS: A Lightweight General Time Series Forecasting Model cites this paper.
LightGTS: A Lightweight General Time Series Forecasting Model CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:08:56.451133Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 541c96a2-fef8-428f-a874-b8d9cd705578 · inbound
RhyMix: A Lightweight Adaptive Multi-Rhythm Network for Long-Term Time Series Forecasting cites this paper.
RhyMix: A Lightweight Adaptive Multi-Rhythm Network for Long-Term Time Series Forecasting CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T10:57:05.473528Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.