Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Data-driven approximation of Koopman operators and generators: Convergence rates and error bounds
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.00539.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T18:37:45.742032Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-03T08:07:44.953237Z
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 24db6bcf-78cd-45db-ab24-34fb92032cdc · inbound
Data-driven approximation of transfer operators for mean-field stochastic differential equations cites this paper.
Data-driven approximation of transfer operators for mean-field stochastic differential equations Data-driven approximation of Koopman operators and generators: Convergence rates and error bounds
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:37:45.742032Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5e1840e-645f-4502-9966-70c3ef726338 · inbound
Numerical approximation of the Koopman-von Neumann equation: Operator learning and quantum computing cites this paper.
Numerical approximation of the Koopman-von Neumann equation: Operator learning and quantum computing Data-driven approximation of Koopman operators and generators: Convergence rates and error bounds
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-06-26T01:15:12.715716Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 74cae0ee-663c-4ac8-a3fa-df6060684c3c · inbound
Koopman operator theory: fundamentals, control, and applications cites this paper.
Koopman operator theory: fundamentals, control, and applications Data-driven approximation of Koopman operators and generators: Convergence rates and error bounds
Reference 104
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-03T08:07:44.954646Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.