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Paper Citation Record · LEDGER

One Method to Rule Them All: Variance Reduction for Data, Parameters and Many New Methods

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1905.11266.

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

pith.paper-citation-record.v1
1905.11266 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:44:56.966491Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T21:06:27.680908Z

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 eafd06e4-a3e9-4a87-aabc-6a8c221b3143 · inbound

The Stochastic Multi-Proximal Method for Nonsmooth Optimization cites this paper.

The Stochastic Multi-Proximal Method for Nonsmooth Optimization One Method to Rule Them All: Variance Reduction for Data, Parameters and Many New Methods

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-15T20:44:56.966491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:44:56.966491Z digest=sha256:f2abdb6e7185d84081bc3aace43124068797169ce77565cbd676d82c1ee0884b

Observation 6e8f2d80-10cf-48bd-b9fb-d1988f017a46 · inbound

Strategies for Improving Communication Efficiency in Distributed and Federated Learning: Compression, Local Training, and Personalization cites this paper.

Strategies for Improving Communication Efficiency in Distributed and Federated Learning: Compression, Local Training, and Personalization One Method to Rule Them All: Variance Reduction for Data, Parameters and Many New Methods

Reference 85

Resolution
verified exact
local_arxiv, observed 2026-08-04T21:06:27.684326Z

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.

source=arxiv_source observed=2026-08-04T21:06:26.164922Z digest=sha256:f39dc43707a54c24d49a6dd74296108141b6981e2627b286df5df0eb79785451