Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2202.00293.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:44:29.158300Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T01:55:38.110909Z
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 426fa6da-3f54-47bc-99e8-8e0202b0646b · inbound
Joint Learning in the Gaussian Single Index Model cites this paper.
Joint Learning in the Gaussian Single Index Model Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:44:29.158300Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 644d5c4e-0614-4e94-a269-cdcf1710fe98 · 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 Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T01:55:38.113812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4a4909c6-05e9-4751-9656-5dda7be77aa1 · 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 Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T00:22:01.262276Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.