Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On Empirical Comparisons of Optimizers for Deep Learning
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:1910.05446.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:01:59.856422Z
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 5969e21f-7ce5-4567-acd6-7779b7a70e5c · inbound
Brain-to-Text Benchmark '24: Lessons Learned cites this paper.
Brain-to-Text Benchmark '24: Lessons Learned On Empirical Comparisons of Optimizers for Deep Learning
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:45:13.279243Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0bb80bd2-b840-49fa-a56e-227d6ef5c06d · inbound
Celo: Training Versatile Learned Optimizers on a Compute Diet cites this paper.
Celo: Training Versatile Learned Optimizers on a Compute Diet On Empirical Comparisons of Optimizers for Deep Learning
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:01:13.742205Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e2ab73d-7a4f-4081-bb76-bf322adb55d5 · inbound
Achieving Hiding and Smart Anti-Jamming Communication: A Parallel DRL Approach against Moving Reactive Jammer cites this paper.
Achieving Hiding and Smart Anti-Jamming Communication: A Parallel DRL Approach against Moving Reactive Jammer On Empirical Comparisons of Optimizers for Deep Learning
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T12:25:13.851026Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 262b1a58-0d27-4111-bb45-9f3713acef7d · inbound
Spectral-factorized Positive-definite Curvature Learning for NN Training cites this paper.
Spectral-factorized Positive-definite Curvature Learning for NN Training On Empirical Comparisons of Optimizers for Deep Learning
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:15:07.158626Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f55c5c32-f0e7-4f6e-9262-f79e92191c9b · inbound
Towards Efficient Optimizer Design for LLM via Structured Fisher Approximation with a Low-Rank Extension cites this paper.
Towards Efficient Optimizer Design for LLM via Structured Fisher Approximation with a Low-Rank Extension On Empirical Comparisons of Optimizers for Deep Learning
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T11:46:47.449567Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 ab9bba67-7bb4-46a8-bab4-aa9eddd05a3c · inbound
Enhancing Optimizer Stability: Momentum Adaptation of The NGN Step-size cites this paper.
Enhancing Optimizer Stability: Momentum Adaptation of The NGN Step-size On Empirical Comparisons of Optimizers for Deep Learning
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:01:59.856422Z
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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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.