Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T06:54:31.445563Z
Paper Citation Record · LEDGER
A kernel method for the learning of Wasserstein geometric flows
As of 8 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 0 inbound Pith citation observations for arXiv:2511.06655.
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
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
4 of 4 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5535781f-d2f8-49c4-9349-d57b3e35dc46 · outbound
This paper cites Learning generalized diffusions using an energetic variational approach.
A kernel method for the learning of Wasserstein geometric flows Learning generalized diffusions using an energetic variational approach
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T06:54:31.445563Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1c6e7d4d-6e64-4341-82cb-0ad730b93414 · outbound
This paper cites Self-test loss functions for learning weak-form operators and gradient flows.
A kernel method for the learning of Wasserstein geometric flows Self-test loss functions for learning weak-form operators and gradient flows
Reference 2011
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T06:54:31.126627Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 566377b2-a985-4e00-bf78-155ab0af84a9 · outbound
This paper cites Sparse identification of nonlocal interaction kernels in nonlinear gradient flow equations via partial inversion.
A kernel method for the learning of Wasserstein geometric flows Sparse identification of nonlocal interaction kernels in nonlinear gradient flow equations via partial inversion
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T06:54:31.011282Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92f9c7d8-f42f-4ed2-908b-1778d50adc5f · outbound
This paper cites Transport information geometry I: Riemannian calculus on probability simplex.
A kernel method for the learning of Wasserstein geometric flows Transport information geometry I: Riemannian calculus on probability simplex
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T06:54:31.275829Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.