Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Time Series is Worth Five Experts: Heterogeneous Mixture of Experts for Traffic Flow Prediction
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.17440.
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 2026-08-05T22:09:32.658992Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T04:47:37.853290Z
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 649c60a1-002f-4845-87c4-d83be07afe5c · inbound
N-BEATS-MOE: N-BEATS with a Mixture-of-Experts Layer for Heterogeneous Time Series Forecasting cites this paper.
N-BEATS-MOE: N-BEATS with a Mixture-of-Experts Layer for Heterogeneous Time Series Forecasting A Time Series is Worth Five Experts: Heterogeneous Mixture of Experts for Traffic Flow Prediction
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:09:32.658992Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bbf47909-d4d1-40ce-93a6-bc0504c6ab3a · inbound
TSNN: A Non-parametric and Interpretable Framework for Traffic Time Series Forecasting cites this paper.
TSNN: A Non-parametric and Interpretable Framework for Traffic Time Series Forecasting A Time Series is Worth Five Experts: Heterogeneous Mixture of Experts for Traffic Flow Prediction
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T02:06:15.261347Z
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.
Observation 7f8f9eee-94c6-49a6-89d3-def47847403d · inbound
MoE Enhanced Federated Learning for Spatiotemporal Prediction cites this paper.
MoE Enhanced Federated Learning for Spatiotemporal Prediction A Time Series is Worth Five Experts: Heterogeneous Mixture of Experts for Traffic Flow Prediction
Reference 23
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T04:47:37.854478Z
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.