Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A mean-field limit for certain deep neural networks
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1906.00193.
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 2026-08-09T21:24:35.420928Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-05-18T01:55:38.141711Z
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 37913a20-c7d0-4828-a979-52d41934e924 · inbound
Neural Collapse Beyond the Unconstrained Features Model: Landscape, Dynamics, and Generalization in the Mean-Field Regime cites this paper.
Neural Collapse Beyond the Unconstrained Features Model: Landscape, Dynamics, and Generalization in the Mean-Field Regime A mean-field limit for certain deep neural networks
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T21:24:35.420928Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation caeb7cfe-25c4-409d-9dad-b7be70519213 · inbound
Limit Theorems for Stochastic Gradient Descent in High-Dimensional Single-Layer Networks cites this paper.
Limit Theorems for Stochastic Gradient Descent in High-Dimensional Single-Layer Networks A mean-field limit for certain deep neural networks
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T01:55:38.143886Z
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.
Observation 4bacdcd1-5b54-4c51-9236-6d60cb6e57f5 · inbound
Limit Theorems for Stochastic Gradient Descent in High-Dimensional Single-Layer Networks cites this paper.
Limit Theorems for Stochastic Gradient Descent in High-Dimensional Single-Layer Networks A mean-field limit for certain deep neural networks
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T00:22:01.127303Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.