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Paper Citation Record · LEDGER

Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2108.11371.

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

pith.paper-citation-record.v1
2108.11371 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:03:53.378962Z

measured 0 of 1 external citation measurements

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 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.

source=pdf_text observed=2026-08-07T01:03:53.378962Z digest=sha256:ba149a0550baaf540076bfac7e74c18d6c85760669683205d5379081fa837424

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T17:08:30.717799Z digest=sha256:5ae7aeba89d71a26d105b818ed1b8445a2de41fafde638705021014fe05d1835