Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1708.08819.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T21:57:05.642189Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-05-25T16:36:02.664795Z
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 10f816e4-3cd2-445a-89c3-b7a0df84c40c · inbound
AGAN: Towards Automated Design of Generative Adversarial Networks cites this paper.
AGAN: Towards Automated Design of Generative Adversarial Networks Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields
Reference 41
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T16:36:02.667497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 4fa32907-7b71-4b42-9568-cb0bd0f55bc5 · inbound
MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework cites this paper.
MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields
Reference 234
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T03:43:18.941401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c35b3c6d-8950-472f-b051-c5803907b51a · inbound
A Framework For Image Synthesis Using Supervised Contrastive Learning cites this paper.
A Framework For Image Synthesis Using Supervised Contrastive Learning Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:57:05.642189Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.