Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.18803.
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 2026-08-07T10:18:07.758141Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T17:38:43.356801Z
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 729c071d-e3e8-40b2-956d-84e0e656700d · inbound
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting cites this paper.
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T18:54:58.810038Z
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 6d269ab3-eb8d-40da-a592-1ea508335c2a · inbound
Deep Time Series Models: A Comprehensive Survey and Benchmark cites this paper.
Deep Time Series Models: A Comprehensive Survey and Benchmark Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors
Reference 99
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T23:05:51.506357Z
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 dcec0e50-5430-4bd5-9c25-a4f65c728e53 · inbound
Wavelet-based Disentangled Adaptive Normalization for Non-stationary Times Series Forecasting cites this paper.
Wavelet-based Disentangled Adaptive Normalization for Non-stationary Times Series Forecasting Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:18:07.758141Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e03eafe2-1b6c-43dc-8a0d-223168199bb1 · inbound
Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting cites this paper.
Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors
Reference 52
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T04:07:37.199555Z
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 403d70bf-41b6-4766-91fe-5dc2de90f2ac · inbound
Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis cites this paper.
Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors
Reference 20
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T17:38:43.358278Z
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.