Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2205.14415.
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 2026-08-10T04:33:43.780445Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T20:24:21.570171Z
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 d303510f-8823-4af4-ad76-be8667a55bad · inbound
KoopAGRU: A Koopman-based Anomaly Detection in Time-Series using Gated Recurrent Units cites this paper.
KoopAGRU: A Koopman-based Anomaly Detection in Time-Series using Gated Recurrent Units Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T04:33:43.780445Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa572d67-3ffc-4a87-b6de-db6ba96e1ac3 · inbound
Time Series Forecasting Through the Lens of Dynamics cites this paper.
Time Series Forecasting Through the Lens of Dynamics Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T03:32:01.248562Z
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.
Observation 2bb78794-b192-4060-a33b-461db2622dbc · inbound
TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis cites this paper.
TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T20:24:21.571934Z
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.
Observation eae4e9c0-8762-4a3e-b4c7-066dd736da74 · inbound
TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis cites this paper.
TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:15:44.597429Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.