Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2102.09385.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T23:02:46.844668Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T14:14:33.337047Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 8d618d5b-6aa8-4343-adb5-401b92de9813 · inbound
Convergence rates for gradient descent in the training of overparameterized artificial neural networks with piecewise affine activation Convergence of stochastic gradient descent schemes for Lojasiewicz-landscapes
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation bef085db-fb93-41a7-b4fa-f05a95bcb251 · inbound
Accelerated Gradient Methods for Nonconvex Optimization: Escape Trajectories From Strict Saddle Points and Convergence to Local Minima Convergence of stochastic gradient descent schemes for Lojasiewicz-landscapes
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation d5e0ef47-aea6-4890-bead-f1c9003d0e2b · inbound
Momentum-based minimization of the Ginzburg-Landau functional on Euclidean spaces and graphs Convergence of stochastic gradient descent schemes for Lojasiewicz-landscapes
Reference 2021
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c4232203-5f03-46fa-aed2-d4310676e10d · inbound
Mathematical analysis of the gradients in deep learning Convergence of stochastic gradient descent schemes for Lojasiewicz-landscapes
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0a274df-462d-4836-8d71-506777ca8122 · inbound
Unified convergence analysis for gradient descent optimization methods in the training of deep neural networks Convergence of stochastic gradient descent schemes for Lojasiewicz-landscapes
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.