Paper Citation Record · LEDGER

Analysis of nonsmooth stochastic approximation: the differential inclusion approach

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1805.01916.

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

pith.paper-citation-record.v1
1805.01916 v1

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 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:05:54.479790Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T08:49:42.808683Z

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 8cc01f40-831e-46bc-8039-7f1928b72c0b · inbound

Testing Approximate Stationarity Concepts for Piecewise Affine Functions cites this paper.

Testing Approximate Stationarity Concepts for Piecewise Affine Functions Analysis of nonsmooth stochastic approximation: the differential inclusion approach

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T22:05:54.479790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fd18595-81f5-4f16-b2d8-9d3b8f2eba4d · inbound

Convergence of projected stochastic approximation algorithm cites this paper.

Convergence of projected stochastic approximation algorithm Analysis of nonsmooth stochastic approximation: the differential inclusion approach

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T20:38:33.231931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9210eff0-c4be-4ea7-aafc-ed763dc729b8 · inbound

The late-stage training dynamics of (stochastic) subgradient descent on homogeneous neural networks cites this paper.

The late-stage training dynamics of (stochastic) subgradient descent on homogeneous neural networks Analysis of nonsmooth stochastic approximation: the differential inclusion approach

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-08T18:38:56.850571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da3615fb-35ae-4063-97d4-e1516022113d · inbound

Stationary Robust Mean-Field Games under Model Mismatches cites this paper.

Stationary Robust Mean-Field Games under Model Mismatches Analysis of nonsmooth stochastic approximation: the differential inclusion approach

Reference 93

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T08:49:42.809842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.