Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A new method for determining Wasserstein 1 optimal transport maps from Kantorovich potentials, with deep learning applications
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2211.00820.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:09:09.988569Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T04:09:14.375504Z
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 efb2d59b-b2a4-41d0-9f51-365e6df62ac9 · inbound
Data-driven approaches to inverse problems cites this paper.
Data-driven approaches to inverse problems A new method for determining Wasserstein 1 optimal transport maps from Kantorovich potentials, with deep learning applications
Reference 2017
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T04:09:14.469230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.