Paper Citation Record · LEDGER

Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2210.03675.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2210.03675 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:34:20.564915Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T10:29:45.007482Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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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 f300e906-3623-4bf1-af37-714c4f44a5b6 · inbound

Non-stationary Diffusion For Probabilistic Time Series Forecasting cites this paper.

Non-stationary Diffusion For Probabilistic Time Series Forecasting Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-22T16:51:47.975795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation aadd6e6b-3866-46b0-8a21-675b5c54d489 · inbound

Deep Koopman operator framework for causal discovery in nonlinear dynamical systems cites this paper.

Deep Koopman operator framework for causal discovery in nonlinear dynamical systems Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T15:34:20.564915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df068350-de0a-4324-8ebb-41568a7fdba0 · 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 Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:07.782327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f55398fd-ba53-47d7-94b0-6e32c4891d26 · inbound

Parallel-in-Time Training of Recurrent Neural Networks for Dynamical Systems Reconstruction cites this paper.

Parallel-in-Time Training of Recurrent Neural Networks for Dynamical Systems Reconstruction Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:12:58.659701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6cacad90-83f7-4c40-ae27-ada612d27a65 · inbound

SPDM: Geometry-Modulated State Space Modeling with Manifold Constraints for Time Series Forecasting cites this paper.

SPDM: Geometry-Modulated State Space Modeling with Manifold Constraints for Time Series Forecasting Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:57:23.409719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 38545853-974c-4291-b47d-9ab980364e38 · inbound

Topological Out-of-Domain Generalization in Dynamical Systems Reconstruction cites this paper.

Topological Out-of-Domain Generalization in Dynamical Systems Reconstruction Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:19:47.885627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 96743097-27a4-41bc-a97c-f1b3ca29cc61 · inbound

Learning the Koopman Operator using Attention Free Transformers cites this paper.

Learning the Koopman Operator using Attention Free Transformers Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts

Reference 62

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T10:29:45.009096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b75362e5-0751-40b8-b601-b9151b5763f6 · inbound

Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis cites this paper.

Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T17:38:43.382999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6f3b0189-89c6-44cb-8c89-725dcbfb0fca · inbound

A Minimal Interpretable Architecture for Zero-Shot Reconstruction of Dynamical Systems cites this paper.

A Minimal Interpretable Architecture for Zero-Shot Reconstruction of Dynamical Systems Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-02T00:46:19.512140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2717d2e-2db9-414a-b730-322d4f34c2b1 · inbound

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts cites this paper.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T00:11:35.076327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.