Paper Citation Record · LEDGER

On Empirical Comparisons of Optimizers for Deep Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1910.05446.

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

pith.paper-citation-record.v1
1910.05446 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:43:19.244192Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T08:11:17.513815Z

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 92151362-930c-42a3-8ccf-14789ef87d96 · inbound

Do you see what I see? An Ambiguous Optical Illusion Dataset exposing limitations of Explainable AI cites this paper.

Do you see what I see? An Ambiguous Optical Illusion Dataset exposing limitations of Explainable AI On Empirical Comparisons of Optimizers for Deep Learning

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-07T13:43:19.244192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 749f7995-b674-4411-8b2c-ef67e4a55150 · inbound

Path Integral Optimiser: Global Optimisation via Neural Schr\"odinger-F\"ollmer Diffusion cites this paper.

Path Integral Optimiser: Global Optimisation via Neural Schr\"odinger-F\"ollmer Diffusion On Empirical Comparisons of Optimizers for Deep Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T05:58:16.049205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48f6f2a4-3fb4-499a-9cf4-0f33040fa121 · inbound

Charting 15 years of progress in deep learning for speech emotion recognition: A replication study cites this paper.

Charting 15 years of progress in deep learning for speech emotion recognition: A replication study On Empirical Comparisons of Optimizers for Deep Learning

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-06T05:03:21.143206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97a84b44-1ef3-442d-9711-e064acf6824b · inbound

Benchmarking Optimizers for MLPs in Tabular Deep Learning cites this paper.

Benchmarking Optimizers for MLPs in Tabular Deep Learning On Empirical Comparisons of Optimizers for Deep Learning

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T12:10:21.993680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 86bfaf66-5066-43c2-92bc-212caaff6344 · inbound

Polylogarithmic-Weight Dicke States in QAC$^0$ and Arbitrary Symmetric States in QAC$^0_f$ cites this paper.

Polylogarithmic-Weight Dicke States in QAC$^0$ and Arbitrary Symmetric States in QAC$^0_f$ On Empirical Comparisons of Optimizers for Deep Learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-14T19:38:38.575635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fc9b4ae-d8e1-44aa-93d2-c903ee6cbce0 · inbound

Why SGD is not Brownian Motion: A New Perspective on Stochastic Dynamics cites this paper.

Why SGD is not Brownian Motion: A New Perspective on Stochastic Dynamics On Empirical Comparisons of Optimizers for Deep Learning

Reference 114

Resolution: verified exact; arxiv_id, observed 2026-05-22T08:11:17.516358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c5a98723-626f-46d9-9309-4e38acdc25c6 · inbound

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation cites this paper.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation On Empirical Comparisons of Optimizers for Deep Learning

Reference 280

Resolution: unresolved; no resolver link, observed 2026-07-14T15:55:25.318583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dbfc2a7-4ba1-4d9f-892d-5f9a2fc5b31a · inbound

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation cites this paper.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation On Empirical Comparisons of Optimizers for Deep Learning

Reference 280

Resolution: unresolved; no resolver link, observed 2026-08-02T08:13:31.896100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.