Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Implicit Convex Regularizers of CNN Architectures: Convex Optimization of Two- and Three-Layer Networks in Polynomial Time
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2006.14798.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T00:50:35.510634Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T13:25:44.985016Z
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 b8a1dae6-d648-4e12-8d89-3778853894e0 · inbound
Globally Optimal Training of Spiking Neural Networks via Parameter Reconstruction cites this paper.
Globally Optimal Training of Spiking Neural Networks via Parameter Reconstruction Implicit Convex Regularizers of CNN Architectures: Convex Optimization of Two- and Three-Layer Networks in Polynomial Time
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:45:57.326760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 016d2e3d-67af-49a6-b68f-d2a6847095c1 · inbound
Globally Optimal Training of Spiking Neural Networks via Parameter Reconstruction cites this paper.
Globally Optimal Training of Spiking Neural Networks via Parameter Reconstruction Implicit Convex Regularizers of CNN Architectures: Convex Optimization of Two- and Three-Layer Networks in Polynomial Time
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T13:25:44.987147Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 51a83840-104d-443f-9110-8fbde6445e9d · inbound
Domain Adaptation of Mismatched Proximal Denoiser for Plug-and-Play Image Reconstruction cites this paper.
Domain Adaptation of Mismatched Proximal Denoiser for Plug-and-Play Image Reconstruction Implicit Convex Regularizers of CNN Architectures: Convex Optimization of Two- and Three-Layer Networks in Polynomial Time
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T00:50:35.510634Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.