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Paper Citation Record · LEDGER

Primal-dual subgradient methods for minimizing uniformly convex functions

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1401.1792.

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

pith.paper-citation-record.v1
1401.1792 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:00:44.600283Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T06:59:37.607912Z

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 f5930030-bed4-4f68-b194-133a8d237841 · inbound

A constructive approach to strengthen algebraic descriptions of function and operator classes cites this paper.

A constructive approach to strengthen algebraic descriptions of function and operator classes Primal-dual subgradient methods for minimizing uniformly convex functions

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-16T12:00:44.600283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:00:44.600283Z digest=sha256:7190a191b53f6006597240a80d8c502268354739f70f9f2e4a8190612784ab1f

Observation 66e17b2d-8dbe-4297-8f49-96792a2b267d · inbound

Restart and Adaptive Acceleration in Stochastic Gradient Methods cites this paper.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Primal-dual subgradient methods for minimizing uniformly convex functions

Reference 256

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T06:59:37.609080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-26T14:00:19.385619Z digest=sha256:3437d8e489fd0ddca0c640aae306adaa6615a4e3b08faa21d25bca51480c7a51