Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Convergence of stochastic gradient descent under a local Lojasiewicz condition for deep neural networks
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2304.09221.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T16:44:53.663141Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T12:54:27.641195Z
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 7bd1421d-425e-4fe9-a3eb-02271b6789df · inbound
From Sublinear to Linear: Local Convergence in Finite-Width Networks via Locally Polyak-Lojasiewicz Regions cites this paper.
From Sublinear to Linear: Local Convergence in Finite-Width Networks via Locally Polyak-Lojasiewicz Regions Convergence of stochastic gradient descent under a local Lojasiewicz condition for deep neural networks
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T12:54:27.745138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 138af486-666f-407e-8ddb-3586eb9b4eab · inbound
Convergence of Stochastic Gradient Methods for Wide Two-Layer Physics-Informed Neural Networks for the Poisson Equation cites this paper.
Convergence of Stochastic Gradient Methods for Wide Two-Layer Physics-Informed Neural Networks for the Poisson Equation Convergence of stochastic gradient descent under a local Lojasiewicz condition for deep neural networks
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:44:53.663141Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8cf461f-e9cb-4c55-bb0b-dd556501409e · inbound
Safe Start: Configuring Optimization Algorithms for Decision-Making under Extreme Risks cites this paper.
Safe Start: Configuring Optimization Algorithms for Decision-Making under Extreme Risks Convergence of stochastic gradient descent under a local Lojasiewicz condition for deep neural networks
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:14:56.533049Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.