Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Scalable Unbalanced Optimal Transport using Generative Adversarial Networks
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1810.11447.
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 2026-08-07T15:02:56.429464Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T01:02:56.263344Z
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 fb9c9114-2a83-44a7-adcf-15b69b808a6d · inbound
Learning collective multi-cellular dynamics from temporal scRNA-seq via a transformer-enhanced Neural SDE cites this paper.
Learning collective multi-cellular dynamics from temporal scRNA-seq via a transformer-enhanced Neural SDE Scalable Unbalanced Optimal Transport using Generative Adversarial Networks
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:02:56.429464Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8cc6d18e-4c56-4d51-8f15-b85dc662a0e5 · inbound
Learning biophysical models of gene regulation with probability flow matching cites this paper.
Learning biophysical models of gene regulation with probability flow matching Scalable Unbalanced Optimal Transport using Generative Adversarial Networks
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:31:15.263095Z
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.
Observation 8f4ecf50-4c6d-4d90-9277-b60ff7980971 · inbound
Self-organized robustness in mean-field interacting systems cites this paper.
Self-organized robustness in mean-field interacting systems Scalable Unbalanced Optimal Transport using Generative Adversarial Networks
Reference 107
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T01:02:56.264729Z
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.