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Paper Citation Record · LEDGER

Stochastic Bregman Subgradient Methods for Nonsmooth Nonconvex Optimization Problems

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.17386.

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

pith.paper-citation-record.v1
2404.17386 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:48:25.455617Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T00:56:24.050133Z

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 acffcd64-5776-47f1-b1ba-7b4b07a12ea9 · inbound

Optimization Hyper-parameter Laws for Large Language Models cites this paper.

Optimization Hyper-parameter Laws for Large Language Models Stochastic Bregman Subgradient Methods for Nonsmooth Nonconvex Optimization Problems

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:45:48.814838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T20:45:31.427677Z digest=sha256:25d45ddbc2e09fc0b4c958694bdbc8057a6aeba0046e3f56ef56a34c804f4021

Observation 11fcb366-f8c2-43e2-bb77-5ca1b6c70dad · inbound

On exploration of an interior mirror descent flow for stochastic nonconvex constrained problem cites this paper.

On exploration of an interior mirror descent flow for stochastic nonconvex constrained problem Stochastic Bregman Subgradient Methods for Nonsmooth Nonconvex Optimization Problems

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T15:48:25.455617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:48:25.455617Z digest=sha256:5c8b0e7d45d610796d33047bcd87e7921f228f8040fb6021bbfe88f1048f5c53

Observation 060389c4-0554-46ac-a9e1-191a1357d6cd · inbound

Fully Distributed T\^atonnement for Chores Markets cites this paper.

Fully Distributed T\^atonnement for Chores Markets Stochastic Bregman Subgradient Methods for Nonsmooth Nonconvex Optimization Problems

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T00:56:24.052411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-02T00:56:19.792449Z digest=sha256:4d069aabb5bb3dee98552ebb2f27103d774d783ae51e93be942c2e86ca1d2a95