Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
WNGrad: Learn the Learning Rate in Gradient Descent
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1803.02865.
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 2026-08-08T05:44:07.620866Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T12:28:07.393013Z
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 fce8ebf8-de76-4af6-adb5-88c91bea043c · inbound
prunAdag: an adaptive pruning-aware gradient method cites this paper.
prunAdag: an adaptive pruning-aware gradient method WNGrad: Learn the Learning Rate in Gradient Descent
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T05:44:07.620866Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation da049918-e738-43d5-8bbc-15a76c6ed5e2 · inbound
A unified convergence theory for adaptive first-order methods in the nonconvex case, including AdaNorm, full and diagonal AdaGrad, Shampoo and Muo cites this paper.
A unified convergence theory for adaptive first-order methods in the nonconvex case, including AdaNorm, full and diagonal AdaGrad, Shampoo and Muo WNGrad: Learn the Learning Rate in Gradient Descent
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T07:26:59.865849Z
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 09ee4e5a-1fa8-4f94-8e12-79989842b1f8 · inbound
bAdag: an adaptive block coordinate gradient method for smooth nonconvex functions cites this paper.
bAdag: an adaptive block coordinate gradient method for smooth nonconvex functions WNGrad: Learn the Learning Rate in Gradient Descent
Reference 92
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T12:28:07.409844Z
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.