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Paper Citation Record · LEDGER

Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1801.07226.

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

pith.paper-citation-record.v1
1801.07226 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:34:06.624880Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:54:53.582108Z

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 e1d21ffe-5f04-4db6-b04e-0fb8420b01c5 · inbound

Optimal Convergence Rates for Neural Operators cites this paper.

Optimal Convergence Rates for Neural Operators Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T05:34:06.624880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:34:06.624880Z digest=sha256:836c89edf5e90e920d2366e6d629bbc8094217a4684c200fbc075cec092d8169

Observation f02e02ff-e41b-44b7-bc69-6d0e923f829e · inbound

Random feature approximation for general spectral methods cites this paper.

Random feature approximation for general spectral methods Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:54:53.647209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-06T23:54:51.484079Z digest=sha256:9598e3a1c4124f8a334cf49162d5fab6fc84cff561c6eaf7b33a6ca687baab49