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Paper Citation Record · LEDGER

Adaptive First-and Zeroth-order Methods for Weakly Convex Stochastic Optimization Problems

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2005.09261.

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

pith.paper-citation-record.v1
2005.09261 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:00:29.421440Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T19:10:30.780444Z

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 c07a6bbc-a637-4fc3-9b14-fcf3e2ab9889 · inbound

Refining Adaptive Zeroth-Order Optimization at Ease cites this paper.

Refining Adaptive Zeroth-Order Optimization at Ease Adaptive First-and Zeroth-order Methods for Weakly Convex Stochastic Optimization Problems

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-09T17:00:29.421440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T17:00:29.421440Z digest=sha256:8041244f789f376db1b2b575c54f030d6929f2abc58dbecc95f2f76becb21ef3

Observation 8473a882-f7ce-49a1-974d-f399a1fa4c53 · 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 Adaptive First-and Zeroth-order Methods for Weakly Convex Stochastic Optimization Problems

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-08T18:49:52.541953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:49:52.541953Z digest=sha256:cad1e267018524c3d38ba20db5506a461581c960ad28e7c76cc62e26778800a3

Observation fcea3cc4-6d8f-4f68-b29b-f85325bc80ba · inbound

Stochastic Regret Guarantees for Online Zeroth- and First-Order Bilevel Optimization cites this paper.

Stochastic Regret Guarantees for Online Zeroth- and First-Order Bilevel Optimization Adaptive First-and Zeroth-order Methods for Weakly Convex Stochastic Optimization Problems

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-21T19:10:30.783271Z

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=2026-05-21T19:07:11.343101Z digest=sha256:a78ab29aeb4eadd796e7c395f7af89224ea640047454329b2305b33562dc2083

Observation 15b0d8ec-d20e-4019-8434-35b4bc52465b · inbound

A Unified Zeroth-Order Proximal Newton-Type Framework for Composite Optimization cites this paper.

A Unified Zeroth-Order Proximal Newton-Type Framework for Composite Optimization Adaptive First-and Zeroth-order Methods for Weakly Convex Stochastic Optimization Problems

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:41:10.087626Z

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=2026-05-08T08:23:27.560030Z digest=sha256:db88f3c67b80c6a8a56952576db96519f94aa5d5add0073318b466a0e9c81e58