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Paper Citation Record · LEDGER

On the Convergence of AdaBound and its Connection to SGD

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1908.04457.

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

pith.paper-citation-record.v1
1908.04457 v2

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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:11:19.545156Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T13:57:38.358306Z

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 7165d69d-c250-48de-8392-a4826a69b6e9 · inbound

A Method for Enhancing Generalization of Adam by Multiple Integrations cites this paper.

A Method for Enhancing Generalization of Adam by Multiple Integrations On the Convergence of AdaBound and its Connection to SGD

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T14:11:19.545156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:11:19.545156Z digest=sha256:21bf295556c1764dee83aa7ca201c57f4a98c82d6b8e055832e682e6ca1ec81e

Observation 90d5a40c-5dde-4de9-9cc2-382e006f9ebf · inbound

Principled Approximation Methods for Efficient and Scalable Deep Learning cites this paper.

Principled Approximation Methods for Efficient and Scalable Deep Learning On the Convergence of AdaBound and its Connection to SGD

Reference 2018

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:57:38.460159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T13:57:35.963314Z digest=sha256:e26d13d8506cb5acefe9b92a6aa361807ecb218861ffbd77e9dd11e67e53cb9a