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Paper Citation Record · LEDGER

Unified continuous-time q-learning for mean-field game and mean-field control problems

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2407.04521.

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

pith.paper-citation-record.v1
2407.04521 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T19:10:28.752877Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T05:29:35.430337Z

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 32e51f64-0ad9-453d-898a-af79da466bd3 · inbound

Reinforcement learning for irreversible reinsurance problems: the randomized singular control approach cites this paper.

Reinforcement learning for irreversible reinsurance problems: the randomized singular control approach Unified continuous-time q-learning for mean-field game and mean-field control problems

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T19:10:28.752877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:10:28.752877Z digest=sha256:f1751dd3ef9f12394a2f3377e5258b5e6558fba168541e31598004782a616761

Observation bc47abb3-348a-4f1d-a86b-46ddfa7d5c89 · inbound

Continuous-time reinforcement learning for optimal switching over multiple regimes cites this paper.

Continuous-time reinforcement learning for optimal switching over multiple regimes Unified continuous-time q-learning for mean-field game and mean-field control problems

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T18:40:33.633478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:40:33.633478Z digest=sha256:6a4853baaa2f431da5b793eec4ea8161ed65f1880946f9dd0f0eab6592c3a316

Observation 421db338-8c3d-4d5c-bda5-86e94e73713c · inbound

Continuous-time q-learning for mean-field control with common noise, part-I: Theoretical foundations cites this paper.

Continuous-time q-learning for mean-field control with common noise, part-I: Theoretical foundations Unified continuous-time q-learning for mean-field game and mean-field control problems

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-08-03T01:10:22.407760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-07T09:19:03.944541Z digest=sha256:c578cb3e92cbbd5b827bb9cdec0b2388f0adb047a999e81d5b672d98f967a083

Observation af00bf24-b6b7-4ed5-8720-a9996e0f244a · 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 Unified continuous-time q-learning for mean-field game and mean-field control problems

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-08-03T01:10:22.407760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-07T08:41:31.247249Z digest=sha256:53eb7680eb3fa0e094358f16c28590bbdaa4ea3df8518c6d1be5502fce9d7e6a

Observation e5db062e-971d-4d5a-86c4-ebd664ea8d69 · inbound

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

Policy Gradient for Continuous-Time Mean-Field Control Unified continuous-time q-learning for mean-field game and mean-field control problems

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-08-03T01:10:22.407760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-21T04:15:32.156380Z digest=sha256:5e7ec0cc5809e663c4f8982611e93f5179ca84c999ffa3f29317f6baee05f85b

Observation 18570b28-fa09-4239-bb98-1d9200438611 · 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 Unified continuous-time q-learning for mean-field game and mean-field control problems

Reference 88

Resolution
verified exact
arxiv_id, observed 2026-08-03T01:10:22.407760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T15:59:25.061726Z digest=sha256:e80a7cd13d2ca19682021116964360d332aaa590aea9f730746922415dc12609

Observation e190c20e-3e92-417d-a814-5e480010f742 · 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 Unified continuous-time q-learning for mean-field game and mean-field control problems

Reference 39

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T07:42:38.840826Z digest=sha256:750d34fc4228d6bc635c2622a6ee21353511fe3f0a8b3266ec290250f7beb651

Observation 63e59b80-236e-4bb3-bdd5-36974a329498 · inbound

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies cites this paper.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Unified continuous-time q-learning for mean-field game and mean-field control problems

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-01T11:22:20.724649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:22:20.724649Z digest=sha256:08780fce02dfb7452af7010e51ef45349f6de436fbb641663b5a6d318ad97a65