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Paper Citation Record · LEDGER

Robust Accelerated Gradient Methods for Smooth Strongly Convex Functions

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1805.10579.

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

pith.paper-citation-record.v1
1805.10579 v4

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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:17:29.060963Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T18:44:49.427796Z

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 894fe060-b09b-44df-9c8c-387359210281 · inbound

Distributed Inexact Successive Convex Approximation ADMM: Analysis-Part I cites this paper.

Distributed Inexact Successive Convex Approximation ADMM: Analysis-Part I Robust Accelerated Gradient Methods for Smooth Strongly Convex Functions

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-24T18:44:49.432493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-24T18:40:48.850649Z digest=sha256:2ab5c4948f8c2c5d74322e1f981af8f1642ed489c107da06e5c0094dbaa6b381

Observation 3f7df756-6868-4ce7-9dd8-85bcf623dc95 · inbound

Nesterov's method with decreasing learning rate leads to accelerated stochastic gradient descent cites this paper.

Nesterov's method with decreasing learning rate leads to accelerated stochastic gradient descent Robust Accelerated Gradient Methods for Smooth Strongly Convex Functions

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-14T12:17:29.060963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:17:29.060963Z digest=sha256:017e314fbd2838a62da18014dddc6c4a64415d7fbbe170104f11b1efeca573e0