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Paper Citation Record · LEDGER

Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1109.2415.

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

pith.paper-citation-record.v1
1109.2415 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T22:07:11.351895Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 5e3d83cf-4951-4348-8666-3571197515c1 · inbound

The iterates of FISTA converge even under inexact computations and stochastic gradients cites this paper.

The iterates of FISTA converge even under inexact computations and stochastic gradients Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-03T22:07:11.351895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:07:11.351895Z digest=sha256:3221fe86bfae465d8b93aa067dc049ade106ae5ae24e253a07585bee651a99e5

Observation c4a2480c-369f-46d9-b2e6-d919e8a943f6 · inbound

Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring cites this paper.

Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-14T08:42:11.198962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T08:42:11.198962Z digest=sha256:fc6d455dbe00b331243a02449f618c41bc8ef260b7784c6e81a846a727b8df6a