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Paper Citation Record · LEDGER

Tight Analyses for Non-Smooth Stochastic Gradient Descent

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1812.05217.

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

pith.paper-citation-record.v1
1812.05217 v1

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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:50:19.082475Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:19:04.637484Z

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 2640a10b-9ec9-43f7-8987-82b1665e3caf · inbound

Simple and optimal high-probability bounds for strongly-convex stochastic gradient descent cites this paper.

Simple and optimal high-probability bounds for strongly-convex stochastic gradient descent Tight Analyses for Non-Smooth Stochastic Gradient Descent

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-14T05:50:19.082475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:50:19.082475Z digest=sha256:5ddf2b20a962de32179ffce1f42fd938f8658d7102e8d709278be6b4393fea41

Observation 6bde2ef6-1921-45d8-9801-c933f8db3c97 · inbound

Last-Iterate Complexity of SGD for Convex and Smooth Stochastic Problems cites this paper.

Last-Iterate Complexity of SGD for Convex and Smooth Stochastic Problems Tight Analyses for Non-Smooth Stochastic Gradient Descent

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:19:04.824541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T16:19:01.091616Z digest=sha256:9f1dec02ad08ebae94a5b113a0f22d8e6eb70fb24e6b54ddea9e0a87249d65e0