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Paper Citation Record · LEDGER

Optimal and parameter-free gradient minimization methods for convex and nonconvex optimization

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2310.12139.

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

pith.paper-citation-record.v1
2310.12139 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:49:52.494744Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T06:25:28.048062Z

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 049e9f33-2098-4397-94b6-85a9259d4656 · inbound

Projected gradient methods for nonconvex and stochastic smooth optimization: new complexities and auto-conditioned stepsizes cites this paper.

Projected gradient methods for nonconvex and stochastic smooth optimization: new complexities and auto-conditioned stepsizes Optimal and parameter-free gradient minimization methods for convex and nonconvex optimization

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-23T06:25:28.051347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-23T06:23:51.617737Z digest=sha256:7e5e8540cc3cd9e7636671e20fd36950c55eaa38665f4eb00648985d1e8af716

Observation 33eba5b0-4c0f-4fc2-b613-294a55961dd0 · inbound

A Parameter-Free and Near-Optimal Zeroth-Order Algorithm for Stochastic Convex Optimization cites this paper.

A Parameter-Free and Near-Optimal Zeroth-Order Algorithm for Stochastic Convex Optimization Optimal and parameter-free gradient minimization methods for convex and nonconvex optimization

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-08T18:49:52.494744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:49:52.494744Z digest=sha256:af1c5a90b439ec41c7e73e2222c6556c0c43be3c8b5a91fb182b18707565e300

Observation 2f51d06b-a0fb-4662-b0ab-143ebea5d09d · inbound

Gradient Methods with Online Scaling Part I. Theoretical Foundations cites this paper.

Gradient Methods with Online Scaling Part I. Theoretical Foundations Optimal and parameter-free gradient minimization methods for convex and nonconvex optimization

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T13:10:12.138443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:10:12.138443Z digest=sha256:3a8b196d1f1ecab462ba87e1659ab5ed7df50f1b91baff6eefc3b50b2a399e83

Observation 3136f5e9-3b2c-4c6a-aa39-8173c4a07d28 · inbound

A Proximal Stochastic Gradient Method with Adaptive Step Size and Variance Reduction for Convex Composite Optimization cites this paper.

A Proximal Stochastic Gradient Method with Adaptive Step Size and Variance Reduction for Convex Composite Optimization Optimal and parameter-free gradient minimization methods for convex and nonconvex optimization

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-18T17:21:40.034267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T17:20:09.257391Z digest=sha256:864dd7f2f8fc54a8164b250d19ebf8c0cd796fab59598e16a6fb374cdd93aaa1

Observation e2c772a2-e3c8-4dee-b837-4bbb2831cb2a · inbound

Accelerated Prox-Level Methods for Unknown Piecewise-Smooth Optimization I: Convex Optimization cites this paper.

Accelerated Prox-Level Methods for Unknown Piecewise-Smooth Optimization I: Convex Optimization Optimal and parameter-free gradient minimization methods for convex and nonconvex optimization

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-03T09:22:12.506552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:22:12.506552Z digest=sha256:529466b270c257cab6b67b10c50363a0e9977be280cbac2d78773e5032e3f01b

Observation bbc1a885-9203-44e2-adf5-66d59ac341b2 · inbound

Universal and Parameter-free Gradient Sliding for Composite Optimization cites this paper.

Universal and Parameter-free Gradient Sliding for Composite Optimization Optimal and parameter-free gradient minimization methods for convex and nonconvex optimization

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-21T10:30:00.355207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T10:26:12.965171Z digest=sha256:d891d21e021e793829bd388355df9863a7414d756ef6918482dac0bfd5d97a4d

Observation 14e53317-7909-4df5-81a4-fefaa3ed2804 · inbound

Accuracy Certificates for Convex Optimization at Accelerated Rates via Primal-Dual Averaging cites this paper.

Accuracy Certificates for Convex Optimization at Accelerated Rates via Primal-Dual Averaging Optimal and parameter-free gradient minimization methods for convex and nonconvex optimization

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:11:08.121071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T04:04:34.684258Z digest=sha256:d906765e7cd31dc2dba6fb6b88aeba34a83fb82ff9eaaab4002f0bf71c9539b1

Observation a2702532-9101-40c7-8a20-58618fa118ee · inbound

Efficient Gradient Methods for Distributed Saddle Problems cites this paper.

Efficient Gradient Methods for Distributed Saddle Problems Optimal and parameter-free gradient minimization methods for convex and nonconvex optimization

Reference 43

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T08:43:10.151901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-20T08:39:37.686041Z digest=sha256:63e9762411d0288efb22f05c6c46be2eb2fad6b96a64989d0fd8816b66ea2948