Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1904.06963.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T12:19:32.536401Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T14:14:33.261307Z
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 a5380e9a-9581-47cd-9512-16ec62762d74 · inbound
The learnability scaling of quantum states: restricted Boltzmann machines cites this paper.
The learnability scaling of quantum states: restricted Boltzmann machines The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T12:19:32.536401Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e0151e3-f09d-4cf5-bbdb-a35de9c867a4 · inbound
Convergence rates for gradient descent in the training of overparameterized artificial neural networks with piecewise affine activation cites this paper.
Convergence rates for gradient descent in the training of overparameterized artificial neural networks with piecewise affine activation The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T14:14:33.264281Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.