Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
WormKAN: Are KAN Effective for Identifying and Tracking Concept Drift in Time Series?
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.10041.
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 2026-08-08T16:44:22.863440Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T05:52:07.184646Z
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 37dd41cd-a1bf-4982-bb08-0de70e4baa41 · inbound
TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting cites this paper.
TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting WormKAN: Are KAN Effective for Identifying and Tracking Concept Drift in Time Series?
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:44:22.863440Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8741a4fc-8d5f-4de7-9678-a6ebd9ccf413 · inbound
TFKAN: Time-Frequency KAN for Long-Term Time Series Forecasting cites this paper.
TFKAN: Time-Frequency KAN for Long-Term Time Series Forecasting WormKAN: Are KAN Effective for Identifying and Tracking Concept Drift in Time Series?
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:47:51.996405Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1cd1b14c-7cf4-4f14-8127-95a6f1eed931 · inbound
Variational Kolmogorov-Arnold Network cites this paper.
Variational Kolmogorov-Arnold Network WormKAN: Are KAN Effective for Identifying and Tracking Concept Drift in Time Series?
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T05:52:07.187801Z
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.