Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Neural Sinkhorn Gradient Flow
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.14069.
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, observed 2026-08-07T12:57:34.841225Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T10:54:50.779104Z
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 e7f3eff4-4ddb-4cfb-965b-673ee5d47bd9 · inbound
Efficiently Access Diffusion Fisher: Within the Outer Product Span Space cites this paper.
Efficiently Access Diffusion Fisher: Within the Outer Product Span Space Neural Sinkhorn Gradient Flow
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:57:34.841225Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae254d3c-08af-44a4-8349-262f029101e0 · inbound
Unleashing High-Quality Image Generation in Diffusion Sampling Using Second-Order Levenberg-Marquardt-Langevin cites this paper.
Unleashing High-Quality Image Generation in Diffusion Sampling Using Second-Order Levenberg-Marquardt-Langevin Neural Sinkhorn Gradient Flow
Reference 95
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:35:39.048047Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d2295ddb-5300-401a-a1a2-09113616b72e · inbound
Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach cites this paper.
Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach Neural Sinkhorn Gradient Flow
Reference 222
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T10:54:50.783171Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.