Paper Citation Record · LEDGER

Learning algorithms for mean field optimal control

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2503.17869.

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

pith.paper-citation-record.v1
2503.17869 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:23:15.328868Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:39:57.166065Z

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 15148c01-33eb-4266-90d1-8dca8abda665 · inbound

Iterative Schemes for Markov Perfect Equilibria cites this paper.

Iterative Schemes for Markov Perfect Equilibria Learning algorithms for mean field optimal control

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T13:23:15.328868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 165c48e7-c6ec-41dd-ab41-e50f19d69ecc · inbound

An Effective Particle Gradient Projection Method for Solving Stochastic and Mean Field Control Problem cites this paper.

An Effective Particle Gradient Projection Method for Solving Stochastic and Mean Field Control Problem Learning algorithms for mean field optimal control

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:50:50.423902Z

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 288cf3e9-8ef0-43b6-bcb8-7d44fc1e9bb3 · inbound

Policy Gradient for Continuous-Time Mean-Field Control cites this paper.

Policy Gradient for Continuous-Time Mean-Field Control Learning algorithms for mean field optimal control

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-21T04:19:33.514765Z

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 30df1c83-9540-4414-830a-7d3ed037a806 · inbound

Mean-Field PhiBE: Continuous-Time Mean-Field Reinforcement Learning from Discrete-Time Data cites this paper.

Mean-Field PhiBE: Continuous-Time Mean-Field Reinforcement Learning from Discrete-Time Data Learning algorithms for mean field optimal control

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-04T14:09:53.358583Z

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 688a4f95-ad2e-4742-9585-0ddc0fe43766 · 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 Learning algorithms for mean field optimal control

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T14:39:57.167600Z

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 fecc4d75-3157-47d5-a0a7-5012f64754fb · inbound

Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis cites this paper.

Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Learning algorithms for mean field optimal control

Reference 44

Resolution: unresolved; no resolver link, observed 2026-07-14T13:09:37.388826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51b1dfa0-d23b-44aa-b097-0f5fa31eaab2 · inbound

Actor-Critic Learning for Extended Mean Field Control with Deterministic Policies cites this paper.

Actor-Critic Learning for Extended Mean Field Control with Deterministic Policies Learning algorithms for mean field optimal control

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-14T07:42:38.840826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.