Paper Citation Record · LEDGER

SpiderBoost and Momentum: Faster Stochastic Variance Reduction Algorithms

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1810.10690.

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

pith.paper-citation-record.v1
1810.10690 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:45:51.807593Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T17:06:07.868772Z

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 c5a0a8d6-82f4-4586-909a-657ba354cb4a · inbound

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

A Stochastic Composite Gradient Method with Incremental Variance Reduction SpiderBoost and Momentum: Faster Stochastic Variance Reduction Algorithms

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-25T17:06:07.872693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 43905812-9b87-4e67-b7d9-facee20df254 · 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 SpiderBoost and Momentum: Faster Stochastic Variance Reduction Algorithms

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-14T14:45:51.807593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3dfdfc1-5f79-41d9-bcde-55de5bdff928 · inbound

Stochastic AUC Maximization with Deep Neural Networks cites this paper.

Stochastic AUC Maximization with Deep Neural Networks SpiderBoost and Momentum: Faster Stochastic Variance Reduction Algorithms

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-14T10:41:34.805848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2713746-dec0-4c75-a474-891a3f6f132e · inbound

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

Multi-Level Composite Stochastic Optimization via Nested Variance Reduction SpiderBoost and Momentum: Faster Stochastic Variance Reduction Algorithms

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-14T10:27:44.325097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1dd3bfd-3d47-40db-8aa8-96362560f76c · inbound

Adaptive Federated Optimization cites this paper.

Adaptive Federated Optimization SpiderBoost and Momentum: Faster Stochastic Variance Reduction Algorithms

Reference 182

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T10:30:58.704670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d6fe913e-2a3a-4864-a2d9-c9366a03c8ca · inbound

Beyond Bounded Variance: Variance-Reduced Normalized Methods for Nonconvex Optimization under Blum-Gladyshev Noise cites this paper.

Beyond Bounded Variance: Variance-Reduced Normalized Methods for Nonconvex Optimization under Blum-Gladyshev Noise SpiderBoost and Momentum: Faster Stochastic Variance Reduction Algorithms

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-19T16:12:38.857525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.