Paper Citation Record · LEDGER

Unified Optimal Analysis of the (Stochastic) Gradient Method

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:1907.04232.

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

pith.paper-citation-record.v1
1907.04232 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:39:15.017120Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

55
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ab9c836b-3552-4c95-bafd-97a163512357 · inbound

Decoupled SGDA for Games with Intermittent Strategy Communication cites this paper.

Decoupled SGDA for Games with Intermittent Strategy Communication Unified Optimal Analysis of the (Stochastic) Gradient Method

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T15:06:09.116701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 491b3ec6-f0de-48a7-85b9-1e03bed1e19a · inbound

What Makes Local Updates Effective: The Role of Data Heterogeneity and Smoothness cites this paper.

What Makes Local Updates Effective: The Role of Data Heterogeneity and Smoothness Unified Optimal Analysis of the (Stochastic) Gradient Method

Reference 136

Resolution: unresolved; no resolver link, observed 2026-08-06T21:27:28.188421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dba3ea9f-a5c9-42d4-85cb-f68af862f422 · inbound

Stochastic Gradient Variational Inference with Price's Gradient Estimator from Bures-Wasserstein to Parameter Space cites this paper.

Stochastic Gradient Variational Inference with Price's Gradient Estimator from Bures-Wasserstein to Parameter Space Unified Optimal Analysis of the (Stochastic) Gradient Method

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-21T12:15:06.698956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 59f31ed7-4234-465c-ba02-7ab7fe7410b6 · inbound

Stability and Generalization for Decentralized Markov SGD cites this paper.

Stability and Generalization for Decentralized Markov SGD Unified Optimal Analysis of the (Stochastic) Gradient Method

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:41:04.319618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4b120fed-d561-45ec-8e1a-8bb6f47db9f8 · inbound

Unveiling High-Probability Generalization in Decentralized SGD cites this paper.

Unveiling High-Probability Generalization in Decentralized SGD Unified Optimal Analysis of the (Stochastic) Gradient Method

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T05:31:25.702604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2f9a7fe4-cb2c-4cab-a2f5-5273ec7469f2 · inbound

On What We Can Learn from Low-Resolution Data cites this paper.

On What We Can Learn from Low-Resolution Data Unified Optimal Analysis of the (Stochastic) Gradient Method

Reference 134

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T05:32:18.981578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8128b986-098b-40cd-8dba-c135614bd992 · inbound

Stochastic Optimization and Data Science cites this paper.

Stochastic Optimization and Data Science Unified Optimal Analysis of the (Stochastic) Gradient Method

Reference 58

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T21:12:47.270309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4102a7e3-34ee-40d3-8f1c-87cf39deae77 · inbound

Near-Optimal Pure Machine Unlearning for Smooth Strongly Convex Losses cites this paper.

Near-Optimal Pure Machine Unlearning for Smooth Strongly Convex Losses Unified Optimal Analysis of the (Stochastic) Gradient Method

Reference 236

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:06:15.776337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bd100f36-b83e-4317-a66e-c0228ab50313 · inbound

Zero-order Parameter-free Optimization for LMO-based Methods: Novel Approach for Efficient Fine-tuning cites this paper.

Zero-order Parameter-free Optimization for LMO-based Methods: Novel Approach for Efficient Fine-tuning Unified Optimal Analysis of the (Stochastic) Gradient Method

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T17:08:43.648943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8f1cc0e5-4bde-4ba2-aa5d-37baf3cf976c · inbound

SGD at the Edge of Stability: Stochastic Stabilization with Large Learning Rates cites this paper.

SGD at the Edge of Stability: Stochastic Stabilization with Large Learning Rates Unified Optimal Analysis of the (Stochastic) Gradient Method

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-07-01T13:05:45.488545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1c1816e1-2254-441d-b9c4-eafe83cf201a · inbound

Theoretical Foundations of Communication-Efficient, Robust, and Practical Distributed and Federated Optimization cites this paper.

Theoretical Foundations of Communication-Efficient, Robust, and Practical Distributed and Federated Optimization Unified Optimal Analysis of the (Stochastic) Gradient Method

Reference 252

Resolution: unresolved; no resolver link, observed 2026-08-15T14:39:15.017120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.