Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Stein Latent Optimization for Generative Adversarial Networks
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2106.05319.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-28T03:07:52.730713Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T11:46:55.259614Z
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 ddd80f4a-129f-4e3f-8c39-358046c84a4a · inbound
Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory cites this paper.
Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory Stein Latent Optimization for Generative Adversarial Networks
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T11:46:55.261127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.