Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Stochastic Gradient Descent for Two-layer Neural Networks
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.07670.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T05:45:31.461213Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T16:07:08.494786Z
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 3006cec3-ef68-4c31-bd9d-32001e1453cc · inbound
Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift cites this paper.
Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Stochastic Gradient Descent for Two-layer Neural Networks
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T05:45:31.461213Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0391f4e6-2f60-4992-917c-85c406676db6 · inbound
Optimal Rates for Generalization of Gradient Descent Methods with Deep Neural Networks cites this paper.
Optimal Rates for Generalization of Gradient Descent Methods with Deep Neural Networks Stochastic Gradient Descent for Two-layer Neural Networks
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T15:57:07.405489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation cd2057fd-f9c9-491d-bb2f-6de04524777c · inbound
Minimax-Optimal Generalization Bounds for Smooth Deep Neural Networks Trained by (Stochastic) Gradient Descent cites this paper.
Minimax-Optimal Generalization Bounds for Smooth Deep Neural Networks Trained by (Stochastic) Gradient Descent Stochastic Gradient Descent for Two-layer Neural Networks
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T16:07:08.496269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e5a41aae-215a-4c0f-b9ed-ba1bd8ba6ba3 · inbound
Minimax-Optimal Generalization Bounds for Smooth Deep Neural Networks Trained by (Stochastic) Gradient Descent cites this paper.
Minimax-Optimal Generalization Bounds for Smooth Deep Neural Networks Trained by (Stochastic) Gradient Descent Stochastic Gradient Descent for Two-layer Neural Networks
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T12:16:40.496271Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.