Paper Citation Record · LEDGER

ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1902.05679.

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

pith.paper-citation-record.v1
1902.05679 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:45:51.782198Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T20:07:08.561230Z

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 78160e48-ed2c-41e9-8f2c-ba611d41db6f · inbound

Accelerating Mini-batch SARAH by Step Size Rules cites this paper.

Accelerating Mini-batch SARAH by Step Size Rules ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-05-25T20:07:08.563865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1bb51306-5d6d-4294-9c15-d0af97f64adc · inbound

A Stochastic Composite Gradient Method with Incremental Variance Reduction cites this paper.

A Stochastic Composite Gradient Method with Incremental Variance Reduction ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-25T17:06:07.878497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6e23db4b-f889-4b54-9e81-03985e7a0a3c · inbound

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization cites this paper.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-14T14:45:51.782198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69704b07-3412-4757-a1fb-f4cdca8933db · inbound

Multi-Level Composite Stochastic Optimization via Nested Variance Reduction cites this paper.

Multi-Level Composite Stochastic Optimization via Nested Variance Reduction ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-14T10:27:44.277111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.