Paper Citation Record · LEDGER

Full error analysis of policy gradient learning algorithms for exploratory linear quadratic mean-field control problem in continuous time with common noise

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2408.02489.

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

pith.paper-citation-record.v1
2408.02489 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:25:51.664862Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:09:53.345401Z

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 3f191497-aaaa-4169-b700-ae468df838aa · inbound

Policy Optimization for Continuous-time Linear-Quadratic Graphon Mean Field Games cites this paper.

Policy Optimization for Continuous-time Linear-Quadratic Graphon Mean Field Games Full error analysis of policy gradient learning algorithms for exploratory linear quadratic mean-field control problem in continuous time with common noise

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T10:25:51.664862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b25da7c-95d8-442d-922b-023b715f1607 · inbound

Continuous-time q-learning for mean-field control with common noise, part-II: q-learning algorithms cites this paper.

Continuous-time q-learning for mean-field control with common noise, part-II: q-learning algorithms Full error analysis of policy gradient learning algorithms for exploratory linear quadratic mean-field control problem in continuous time with common noise

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:56:27.967119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b91cba99-3aef-4121-adbf-7a019cae5bc3 · inbound

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

Policy Gradient for Continuous-Time Mean-Field Control Full error analysis of policy gradient learning algorithms for exploratory linear quadratic mean-field control problem in continuous time with common noise

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-21T04:19:33.522026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ebbcb38b-e6a0-4aba-8332-87dd39709363 · 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 Full error analysis of policy gradient learning algorithms for exploratory linear quadratic mean-field control problem in continuous time with common noise

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-04T14:09:53.347556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4088fdc4-69d6-4ff0-9740-2bdc7feea9e1 · inbound

Mean Field Reinforcement Learning cites this paper.

Mean Field Reinforcement Learning Full error analysis of policy gradient learning algorithms for exploratory linear quadratic mean-field control problem in continuous time with common noise

Reference 65

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T19:08:49.417001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.