Paper Citation Record · LEDGER

On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1805.08114.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1805.08114 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:47:31.390275Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-05-24T10:24:20.384582Z

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 f6db588b-1399-4e02-9f65-f0dcd41ac1df · inbound

Linear Convergence of Adaptive Stochastic Gradient Descent cites this paper.

Linear Convergence of Adaptive Stochastic Gradient Descent On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T10:47:31.390275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06f2408f-33e0-4123-9c76-e74c984fd7b6 · inbound

Adaptive Federated Optimization cites this paper.

Adaptive Federated Optimization On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes

Reference 228

Resolution: verified exact; local_arxiv, observed 2026-05-21T10:30:58.850797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fe581774-bc58-4e05-afce-bd7998cb34fc · inbound

Deep learning applied to computational mechanics: A comprehensive review, state of the art, and the classics cites this paper.

Deep learning applied to computational mechanics: A comprehensive review, state of the art, and the classics On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes

Reference 186

Resolution: verified exact; local_arxiv, observed 2026-05-24T10:24:20.387291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c421d9a7-09c0-4835-a460-366c19885c99 · inbound

Adam symmetry theorem: characterization of the convergence of the stochastic Adam optimizer cites this paper.

Adam symmetry theorem: characterization of the convergence of the stochastic Adam optimizer On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-03T23:19:41.386966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.