Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Comparative Analysis of the Optimization and Generalization Property of Two-layer Neural Network and Random Feature Models Under Gradient Descent Dynamics
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1904.04326.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T01:13:15.355179Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T14:49:54.852173Z
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 393b31fb-dcfb-4168-b006-3d3e92fc1cc3 · inbound
ID3 Learns Juntas for Smoothed Product Distributions cites this paper.
ID3 Learns Juntas for Smoothed Product Distributions A Comparative Analysis of the Optimization and Generalization Property of Two-layer Neural Network and Random Feature Models Under Gradient Descent Dynamics
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T19:46:10.467554Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 307ce6ac-a311-4872-a9d6-06eb17613e60 · inbound
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models cites this paper.
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models A Comparative Analysis of the Optimization and Generalization Property of Two-layer Neural Network and Random Feature Models Under Gradient Descent Dynamics
Reference 23
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T23:00:21.103492Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b716871e-5b7c-4718-bcdc-76d2667bb706 · inbound
Growing Neural Networks: Dynamic Evolution through Gradient Descent cites this paper.
Growing Neural Networks: Dynamic Evolution through Gradient Descent A Comparative Analysis of the Optimization and Generalization Property of Two-layer Neural Network and Random Feature Models Under Gradient Descent Dynamics
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T01:13:15.355179Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2dc776a-52fe-4aa1-9d67-f981cae190d9 · inbound
A Theory on Flow Matching with Neural Networks cites this paper.
A Theory on Flow Matching with Neural Networks A Comparative Analysis of the Optimization and Generalization Property of Two-layer Neural Network and Random Feature Models Under Gradient Descent Dynamics
Reference 50
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T00:57:29.409061Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0152b79a-fe41-48bd-9ac0-f5fd8b2857ad · inbound
Estimation of High Dimensional Bounded Discrete Graphical Models via Regularized Generalized Score Matching cites this paper.
Estimation of High Dimensional Bounded Discrete Graphical Models via Regularized Generalized Score Matching A Comparative Analysis of the Optimization and Generalization Property of Two-layer Neural Network and Random Feature Models Under Gradient Descent Dynamics
Reference 183
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T14:49:54.855375Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.