Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Convergence analysis of controlled particle systems arising in deep learning: from finite to infinite sample size
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.05185.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T14:47:26.746970Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T14:47:26.869209Z
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 c11e114b-c21d-4703-a007-045d7da63467 · inbound
A particle system approach towards the global well-posedness of master equations for potential mean field games of control cites this paper.
A particle system approach towards the global well-posedness of master equations for potential mean field games of control Convergence analysis of controlled particle systems arising in deep learning: from finite to infinite sample size
Reference 54
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T14:47:26.875938Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e0ab6bff-02b5-416d-955e-bd09f9b18f5b · inbound
Robust mean field control: an application to optimal execution under composite uncertainty cites this paper.
Robust mean field control: an application to optimal execution under composite uncertainty Convergence analysis of controlled particle systems arising in deep learning: from finite to infinite sample size
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T05:33:36.389513Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.