Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2108.11371.
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 2026-08-09T18:24:40.315345Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T00:27:30.141339Z
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 a3862328-9605-471c-b4de-0ad06180f3ed · inbound
Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions cites this paper.
Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T18:24:40.315345Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a09d1a1-7803-4ba4-8f88-b454b1bcedfa · inbound
Learning Causality for Modern Machine Learning cites this paper.
Learning Causality for Modern Machine Learning Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization
Reference 78
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T01:03:53.378962Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a6d36899-e73f-491f-a6d0-70f654312efb · inbound
Muon Learns More Robust and Transferable Features than Adam cites this paper.
Muon Learns More Robust and Transferable Features than Adam Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization
Reference 70
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T00:27:30.142680Z
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.