Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Deep Learning for Mean Field Games and Mean Field Control with Applications to Finance
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2107.04568.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:19:42.100848Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T14:39:57.154053Z
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 64617167-95f1-4516-8b65-e8630cb83aa2 · inbound
Simulating Fokker-Planck equations via mean field control of score-based normalizing flows cites this paper.
Simulating Fokker-Planck equations via mean field control of score-based normalizing flows Deep Learning for Mean Field Games and Mean Field Control with Applications to Finance
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:19:42.100848Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1b062bdf-1442-47ed-ab14-2cb5b2957b68 · inbound
Neural Actor-Critic Methods for Hamilton-Jacobi-Bellman PDEs: Asymptotic Analysis and Numerical Studies cites this paper.
Neural Actor-Critic Methods for Hamilton-Jacobi-Bellman PDEs: Asymptotic Analysis and Numerical Studies Deep Learning for Mean Field Games and Mean Field Control with Applications to Finance
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T23:30:45.659475Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2cf527d0-17fb-49b5-8fe7-12216e37cd51 · inbound
Numerical Approximation for Path-Dependent McKean-Vlasov Control with Non-Asymptotic Error Estimates cites this paper.
Numerical Approximation for Path-Dependent McKean-Vlasov Control with Non-Asymptotic Error Estimates Deep Learning for Mean Field Games and Mean Field Control with Applications to Finance
Reference 49
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T14:39:57.155907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.