Paper Citation Record · LEDGER

Recent Developments in Machine Learning Methods for Stochastic Control and Games

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2303.10257.

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

pith.paper-citation-record.v1
2303.10257 v3

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 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:19:43.620974Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T05:29:35.433767Z

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 ae961deb-8450-44da-813f-a08a5ae9af62 · 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 Recent Developments in Machine Learning Methods for Stochastic Control and Games

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:43.620974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d13903a6-a2a0-4b03-8174-42742356e289 · inbound

Finite-Agent Stochastic Differential Games on Large Graphs: II. Graph-Based Architectures cites this paper.

Finite-Agent Stochastic Differential Games on Large Graphs: II. Graph-Based Architectures Recent Developments in Machine Learning Methods for Stochastic Control and Games

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T16:47:38.946542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f409e71-85e7-4125-88ad-87a841a28d1a · inbound

Discrete Mean Field Games on Finite Graphs as Initial Value Optimization cites this paper.

Discrete Mean Field Games on Finite Graphs as Initial Value Optimization Recent Developments in Machine Learning Methods for Stochastic Control and Games

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:35:52.336417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 87fdcb14-c621-40bc-b4f2-9ce1d34d4fc3 · inbound

Robust $Q$-learning for mean-field control under Wasserstein uncertainty in common noise cites this paper.

Robust $Q$-learning for mean-field control under Wasserstein uncertainty in common noise Recent Developments in Machine Learning Methods for Stochastic Control and Games

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-04T05:29:35.435425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.