Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
How Does Learning Rate Decay Help Modern Neural Networks?
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1908.01878.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T00:54:33.061955Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T05:40:24.297793Z
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 17e733de-2682-4d03-b49f-1d228acacc83 · inbound
UniAda: Universal Adaptive Multi-objective Adversarial Attack for End-to-End Autonomous Driving Systems cites this paper.
UniAda: Universal Adaptive Multi-objective Adversarial Attack for End-to-End Autonomous Driving Systems How Does Learning Rate Decay Help Modern Neural Networks?
Reference 48
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T20:51:08.901040Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dfd38cb2-6973-46bd-adf8-f44cc189dfc8 · inbound
Anytime Training with Schedule-Free Spectral Optimization cites this paper.
Anytime Training with Schedule-Free Spectral Optimization How Does Learning Rate Decay Help Modern Neural Networks?
Reference 87
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-25T05:40:24.300674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 339cfd79-b8ae-4809-bec7-edbbe738c39b · inbound
Automated Solar Radio Burst Detection Using Deep Learning on Augmented e-Callisto Data cites this paper.
Automated Solar Radio Burst Detection Using Deep Learning on Augmented e-Callisto Data How Does Learning Rate Decay Help Modern Neural Networks?
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T00:54:33.061955Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.