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Paper Citation Record · LEDGER

An Algebraically Converging Stochastic Gradient Descent Algorithm for Global Optimization

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2204.05923.

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

pith.paper-citation-record.v1
2204.05923 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:07:41.803566Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T16:24:53.078635Z

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 962e5f10-130c-4177-846f-f4c7ffe2d1c0 · inbound

Sampling with Adaptive Variance for Multimodal Distributions cites this paper.

Sampling with Adaptive Variance for Multimodal Distributions An Algebraically Converging Stochastic Gradient Descent Algorithm for Global Optimization

Reference 22

Resolution
metadata mismatch
local_arxiv, observed 2026-08-12T16:24:53.086577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T16:24:52.925649Z digest=sha256:a0f52c8fc339201d405fb4a50f1cfa22d90a53b3b9900a97009ae3fb4fe046b0

Observation be787f06-8f7f-4554-be59-de0d3cc0f291 · inbound

A Stochastic Gradient Descent Method for Globally Minimizing Nearly Convex Functions cites this paper.

A Stochastic Gradient Descent Method for Globally Minimizing Nearly Convex Functions An Algebraically Converging Stochastic Gradient Descent Algorithm for Global Optimization

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T00:07:41.803566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:07:41.803566Z digest=sha256:82ccb62821847c2cd49e557695789ea339d099d831d32f2014dfe5b44398a84d