Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning Gaussian Mixtures Using the Wasserstein-Fisher-Rao Gradient Flow
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2301.01766.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T14:55:04.590884Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T02:52:26.894038Z
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 71f1c442-0329-475f-8cd7-11531a437ed8 · inbound
Weighted quantization using MMD: From mean field to mean shift via gradient flows cites this paper.
Weighted quantization using MMD: From mean field to mean shift via gradient flows Learning Gaussian Mixtures Using the Wasserstein-Fisher-Rao Gradient Flow
Reference 91
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T02:52:26.896194Z
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 9c97f82f-1818-48f6-afac-ad57fe024be3 · inbound
Mixtures Closest to a Given Measure: A Semidefinite Programming Approach cites this paper.
Mixtures Closest to a Given Measure: A Semidefinite Programming Approach Learning Gaussian Mixtures Using the Wasserstein-Fisher-Rao Gradient Flow
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T14:55:04.590884Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d5c04742-30ce-49dc-be26-c67006675556 · inbound
On Model-Based Clustering With Entropic Optimal Transport cites this paper.
On Model-Based Clustering With Entropic Optimal Transport Learning Gaussian Mixtures Using the Wasserstein-Fisher-Rao Gradient Flow
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T00:31:18.061846Z
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.