Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Unified Convergence Analysis of Stochastic Momentum Methods for Convex and Non-convex Optimization
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1604.03257.
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 2026-08-14T04:52:07.444052Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-06-29T14:03:29.380353Z
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 e8b2dad4-d2cd-4f47-b915-e36f0f65f037 · inbound
On the Acceleration of Deep Learning Model Parallelism with Staleness cites this paper.
On the Acceleration of Deep Learning Model Parallelism with Staleness Unified Convergence Analysis of Stochastic Momentum Methods for Convex and Non-convex Optimization
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T04:52:07.444052Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 494b0091-8b3c-4657-8c77-215d7cf15c9c · inbound
Stochastic Gradient Descent with Momentum is Algorithmically Stable cites this paper.
Stochastic Gradient Descent with Momentum is Algorithmically Stable Unified Convergence Analysis of Stochastic Momentum Methods for Convex and Non-convex Optimization
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T14:03:29.381526Z
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 878d6137-8916-43aa-9322-1ee5b4d0aceb · inbound
Unified convergence analysis for gradient descent optimization methods in the training of deep neural networks cites this paper.
Unified convergence analysis for gradient descent optimization methods in the training of deep neural networks Unified Convergence Analysis of Stochastic Momentum Methods for Convex and Non-convex Optimization
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T20:46:05.467029Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.