Paper Citation Record · LEDGER

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies

As of 9 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2607.19928.

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

pith.paper-citation-record.v1
2607.19928 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T11:22:20.728645Z

measured 41 of 41 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

verified exact0
verified fuzzy0
unresolved41
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d06da8c5-3bad-4d2f-825d-5c77a6105fc0 · outbound

This paper cites Başar and G.J.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Başar and G.J

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.565114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7aafdae3-4a94-40f8-a31b-b0fb9ff89a67 · outbound

This paper cites Bouchard and N.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Bouchard and N

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.570220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b31b335-27b2-43b6-ba67-000bd3af2580 · outbound

This paper cites Buckdahn, P.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Buckdahn, P

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.574696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d10ffc7-8672-4e90-8abe-68e0012e73d7 · outbound

This paper cites Buşoniu, R.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Buşoniu, R

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.579306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87893005-eae9-471a-9676-6fb86519d5bb · outbound

This paper cites Carmona and F.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Carmona and F

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.583484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b2649f5-97c9-4d13-b215-a83db45c365d · outbound

This paper cites Dockner, S.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Dockner, S

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.587571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08040e2d-72c3-4f18-ba10-2695434055f3 · outbound

This paper cites Fleming and H.M.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Fleming and H.M

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.592027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68e41935-8c6d-4748-86ee-6e460ff9db31 · outbound

This paper cites an unresolved cited work.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.595905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f149baea-b9c0-43bc-a52d-81f1d526e381 · outbound

This paper cites Springer, 2001.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Springer, 2001

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.600048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45546477-f6d9-44ec-9b83-a1dee15030a8 · outbound

This paper cites an unresolved cited work.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.603807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7330bed7-adf5-4f46-a209-96a5dae68633 · outbound

This paper cites Anα-potential game framework forn-player dynamic games.SIAM Journal on Control and Optimization, 63(4):2964–3005, 2025.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Anα-potential game framework forn-player dynamic games.SIAM Journal on Control and Optimization, 63(4):2964–3005, 2025

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.607761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 944c4818-b030-4d57-804c-5689ca96aa46 · outbound

This paper cites Entropy Regularized Reinforcement Learning for Zero-Sum Stochastic Differential Games in a Regime-Switching Jump-Diffusion Process.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Entropy Regularized Reinforcement Learning for Zero-Sum Stochastic Differential Games in a Regime-Switching Jump-Diffusion Process

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.611862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 717eb36c-0c83-489d-b9b4-c6cf628148f9 · outbound

This paper cites Entropy-Regularized Reinforcement Learning for Linear-Quadratic Stackelberg Differential Games in Regime-Switching Diffusion Models.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Entropy-Regularized Reinforcement Learning for Linear-Quadratic Stackelberg Differential Games in Regime-Switching Diffusion Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.616066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 842a9b81-0c06-4678-9a1b-da69c8cd85bd · outbound

This paper cites Recent developments in machine learning meth- ods for stochastic control and games.Numerical Algebra, Control and Optimization, 14(3):435–525, 2024.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Recent developments in machine learning meth- ods for stochastic control and games.Numerical Algebra, Control and Optimization, 14(3):435–525, 2024

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.620044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1eceffb0-0050-45fb-9408-7358beba4edc · outbound

This paper cites Huang, P.E.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Huang, P.E

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.623927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4888772-7b01-4209-aa7b-cd21a5fdc2f2 · outbound

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

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Continuous-time reinforcement learning for optimal switching over multiple regimes

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.627811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bba2d55-4741-4b6d-a2d9-b02a49d9c8ad · outbound

This paper cites Sublinear regret for a class of continuous- time linear-quadratic reinforcement learning problems.SIAM Journal on Control and Optimization, 63(5):3452–3474, 2025.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Sublinear regret for a class of continuous- time linear-quadratic reinforcement learning problems.SIAM Journal on Control and Optimization, 63(5):3452–3474, 2025

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.631946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a8504d5-6aa5-4220-9480-8210bd94ac96 · outbound

This paper cites Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.635669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 517acc6d-724f-4675-aca9-d448b4f2a479 · outbound

This paper cites Jia and X.Y.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Jia and X.Y

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.639819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62e0d2ed-5d8d-4da5-9163-1ce0b9d106a3 · outbound

This paper cites Jia and X.Y.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Jia and X.Y

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.643824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c322874c-fb4d-4158-a533-e533105f53d0 · outbound

This paper cites Jia and X.Y.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Jia and X.Y

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.647639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1daf5aba-d84e-46d7-bde3-c5a56bcf4254 · outbound

This paper cites Karatzas and S.E.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Karatzas and S.E

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.651537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f941b0b6-b5eb-4916-bf0e-6bb32294040f · outbound

This paper cites Krylov.Nonlinear Elliptic and Parabolic Equations of the Second Order.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Krylov.Nonlinear Elliptic and Parabolic Equations of the Second Order

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.655449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fa5b3e9-a62c-4746-8aff-9f0693063227 · outbound

This paper cites Ladyzhenskaya, V.A.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Ladyzhenskaya, V.A

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.659370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4092ac45-138c-46ca-89b6-82329c8fd0bd · outbound

This paper cites Lasry and P.-L.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Lasry and P.-L

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.663451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea73c6d1-45b6-4829-8fae-809b1166cf53 · outbound

This paper cites Actor-critic reinforcement learning al- gorithms for mean field games in continuous time, state and action spaces.Applied Mathematics & Optimization, 89(3):73, 2024.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Actor-critic reinforcement learning al- gorithms for mean field games in continuous time, state and action spaces.Applied Mathematics & Optimization, 89(3):73, 2024

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.667751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c660c46a-1bee-4ba7-9cad-0bb6e4f720b8 · outbound

This paper cites an unresolved cited work.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.672034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d2ba461-18db-48a1-87da-365ca2336570 · outbound

This paper cites Mnih et al.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Mnih et al

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.676452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4d7c324-fc34-4202-a87c-90b113d4bbf9 · outbound

This paper cites an unresolved cited work.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.680518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b5bd82f-5a43-43f3-ba20-0c9ff50cd4be · outbound

This paper cites an unresolved cited work.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.684619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7109b10-09f6-4381-af13-db03688f3ba7 · outbound

This paper cites Learning distributed equilibria in linear-quadratic stochastic differential games: Anα-potential approach.arXiv:2602.16555, 2026.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Learning distributed equilibria in linear-quadratic stochastic differential games: Anα-potential approach.arXiv:2602.16555, 2026

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.688624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da386cc4-6a4a-4eb1-b4eb-0910641b873c · outbound

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

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Continuous-time q-learning for mean-field control with common noise, part-I: Theoretical foundations

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.692590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24211381-ebd3-4cb3-ab6b-2c4b3f964e1f · outbound

This paper cites Reinforcement learning for exploratory linear- quadratic two-person zero-sum stochastic differential games.Applied Mathematics and Computation, 442:127763, 2023.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Reinforcement learning for exploratory linear- quadratic two-person zero-sum stochastic differential games.Applied Mathematics and Computation, 442:127763, 2023

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.696871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea6fbfea-33a6-4975-bd56-ce3ab6ecf508 · outbound

This paper cites Sutton and A.G.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Sutton and A.G

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.700770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c764ff7-65ef-41ed-ac5a-2d826cecf34a · outbound

This paper cites Regret of exploratory policy improvement and $q$-learning.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Regret of exploratory policy improvement and $q$-learning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.704553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18d40f3f-e0c1-4120-a2be-fe64d20e4678 · outbound

This paper cites an unresolved cited work.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.709348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e576da72-ae9e-4f0b-a119-3bdd74ebd4e8 · outbound

This paper cites an unresolved cited work.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.713281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b61a4e65-e746-4664-ae2a-7035de25d74d · outbound

This paper cites an unresolved cited work.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.717121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39132cc4-3f89-4c08-9e10-d14b113930d9 · outbound

This paper cites Continuoustimeq-learningformean-fieldcontrolproblems.Applied Mathematics & Optimization, 91(1):10, 2025.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Continuoustimeq-learningformean-fieldcontrolproblems.Applied Mathematics & Optimization, 91(1):10, 2025

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.720868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites Unified continuous-time q-learning for mean-field game and mean-field control problems.

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.

Observation 0f5886ff-a829-4fe8-a48e-340def7ae7cd · outbound

This paper cites Zhang, Z.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Zhang, Z

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.728645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.