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Paper Citation Record · LEDGER

How Free is Parameter-Free Stochastic Optimization?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.03126.

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

pith.paper-citation-record.v1
2402.03126 v3

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:30:23.064115Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:08:43.681463Z

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 4ddf0f5f-4ee3-4ef8-8117-8dfa3e70f1be · inbound

AutoSGD: Automatic Learning Rate Selection for Stochastic Gradient Descent cites this paper.

AutoSGD: Automatic Learning Rate Selection for Stochastic Gradient Descent How Free is Parameter-Free Stochastic Optimization?

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T13:30:23.064115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:30:23.064115Z digest=sha256:d0ec5853ebdcc155af397feda58f36413db20c59fa0a169a044c25df7550fbb3

Observation ba602019-a0e1-44f4-990a-81ec68c90b27 · inbound

Zero-order Parameter-free Optimization for LMO-based Methods: Novel Approach for Efficient Fine-tuning cites this paper.

Zero-order Parameter-free Optimization for LMO-based Methods: Novel Approach for Efficient Fine-tuning How Free is Parameter-Free Stochastic Optimization?

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:08:43.683014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T04:33:10.554853Z digest=sha256:dede7df8f792eb8ddb3a03b1aa9611b6e87647aa4130c314754a025a267bd0fc