Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MSHyper: Multi-Scale Hypergraph Transformer for Long-Range Time Series Forecasting
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.09261.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T11:50:11.691622Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T07:26:59.323054Z
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 4109cf08-3496-4953-92a1-0a1d29251d1a · inbound
ST-Hyper: Learning High-Order Dependencies Across Multiple Spatial-Temporal Scales for Multivariate Time Series Forecasting cites this paper.
ST-Hyper: Learning High-Order Dependencies Across Multiple Spatial-Temporal Scales for Multivariate Time Series Forecasting MSHyper: Multi-Scale Hypergraph Transformer for Long-Range Time Series Forecasting
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:11.691622Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f026170e-14d6-4d31-90bd-913c079a1dc4 · inbound
MillGNN: Learning Multi-Scale Lead-Lag Dependencies for Multi-Variate Time Series Forecasting cites this paper.
MillGNN: Learning Multi-Scale Lead-Lag Dependencies for Multi-Variate Time Series Forecasting MSHyper: Multi-Scale Hypergraph Transformer for Long-Range Time Series Forecasting
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:42:46.158655Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 07c3fe75-3b9f-4a32-a2e1-f995b872a085 · inbound
The CTLNet for Shanghai Composite Index Prediction cites this paper.
The CTLNet for Shanghai Composite Index Prediction MSHyper: Multi-Scale Hypergraph Transformer for Long-Range Time Series Forecasting
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T07:26:59.324393Z
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.