Paper Citation Record · LEDGER

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

As of 13 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 5 inbound Pith citation observations for arXiv:2507.00358.

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

pith.paper-citation-record.v1
2507.00358 v2

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:33:38.321579Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

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measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T11:22:20.635669Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:18:43.032059Z

Reference resolution

49 of 49 outbound references displayed

verified exact0
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External citation measurements

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Outbound references

Observation 53c011f9-07ed-4843-baeb-28990310a5df · outbound

This paper cites Sublinear Regret for a Class of Continuous-Time Linear-Quadratic Reinforcement Learning Problems.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Sublinear Regret for a Class of Continuous-Time Linear-Quadratic Reinforcement Learning Problems

Reference 1

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Observation a416a5af-1070-4a81-87d0-f759c5104c62 · outbound

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Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Unresolved cited work

Reference 2

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Observation 3319b20d-c984-487a-8f7e-7b9980ff7326 · outbound

This paper cites Yong and X.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Yong and X

Reference 3

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Observation a0260570-6ce0-4368-bfca-79e54bd1e914 · outbound

This paper cites Stochastic linear quadratic regulators with indefinite control weight costs,.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Stochastic linear quadratic regulators with indefinite control weight costs,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:50.100535Z

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Observation 9a56b895-bbdd-4b7b-9b39-ad595502bcb5 · outbound

This paper cites Well-posedness and attainability of indefinite stochastic linear quadratic control in infinite time horizon,.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Well-posedness and attainability of indefinite stochastic linear quadratic control in infinite time horizon,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:49.849387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 56b4a220-ed46-4e8d-bf98-140e0303d25c · outbound

This paper cites Linear matrix inequalities, riccati equations, and indefinite stochastic linear quadratic controls,.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Linear matrix inequalities, riccati equations, and indefinite stochastic linear quadratic controls,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:49.628482Z

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Observation 6a310869-e25f-46c5-b6e2-e8ea4743ab12 · outbound

This paper cites Solvability and asymptotic behavior of generalized riccati equations arising in indefinite stochastic lq controls,.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Solvability and asymptotic behavior of generalized riccati equations arising in indefinite stochastic lq controls,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:49.359104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5304aed6-de98-4bb2-9c9f-dd2410cfa39f · outbound

This paper cites A primal-dual semi-definite programming approach to linear quadratic control,.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems A primal-dual semi-definite programming approach to linear quadratic control,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:47.792609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c4910c53-0ea6-4635-b660-f8dc3fdc3498 · outbound

This paper cites Stabilization control for itˆ o stochastic system with indefinite state and control weight costs,.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Stabilization control for itˆ o stochastic system with indefinite state and control weight costs,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:47.001170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0cc3dcd9-378d-4d3e-a63d-a3fe1fe2e24e · outbound

This paper cites Optimal regulators for a class of nonlinear stochastic systems,.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Optimal regulators for a class of nonlinear stochastic systems,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:46.604066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 224c8670-cdc7-48ce-bd8a-0e48d8985ff7 · outbound

This paper cites Indefinite linear-quadratic optimal control of mean-field stochas- tic differential equation with jump diffusion: an equivalent cost functional method,.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Indefinite linear-quadratic optimal control of mean-field stochas- tic differential equation with jump diffusion: an equivalent cost functional method,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:46.262692Z

Source-reported events for the cited work

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Observation 9ffde277-e768-4d2b-a6fa-a3f77730792b · outbound

This paper cites Stochastic linear quadratic optimal control problems with regime- switching jumps in infinite horizon,.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Stochastic linear quadratic optimal control problems with regime- switching jumps in infinite horizon,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:45.935693Z

Source-reported events for the cited work

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Observation c30d62f0-e968-4f7c-925b-97b18f70c6c6 · outbound

This paper cites On estimating the expected return on the market: An exploratory investiga- tion,.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems On estimating the expected return on the market: An exploratory investiga- tion,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:45.607054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 22553b20-340f-4dc7-840b-ee89e39fa168 · outbound

This paper cites an unresolved cited work.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:33:45.269404Z

Source-reported events for the cited work

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Observation 7081615b-f0b1-426c-86b4-783149d67788 · outbound

This paper cites Rustem and M.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Rustem and M

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:45.008450Z

Source-reported events for the cited work

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Observation 37632502-7169-4d11-845d-733f8f20b593 · outbound

This paper cites an unresolved cited work.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Unresolved cited work

Reference 16

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Observation c75ffc6c-70b2-4f62-ae92-8ac9ea4ad5bf · outbound

This paper cites A survey on intrinsic motivation in reinforcement learning.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems A survey on intrinsic motivation in reinforcement learning

Reference 17

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Observation 5ec4e6e4-16a0-4143-a74f-b77f89cebd07 · outbound

This paper cites Formal theory of creativity, fun, and intrinsic motivation (1990–2010),.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Formal theory of creativity, fun, and intrinsic motivation (1990–2010),

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:44.443994Z

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Observation 86e125e1-8cb6-47dd-acbd-2a38acffa9ff · outbound

This paper cites Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning

Reference 19

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Observation 347fd813-d80b-41d9-a067-a87eebf867ef · outbound

This paper cites Curiosity-driven exploration by self- supervised prediction,.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Curiosity-driven exploration by self- supervised prediction,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:44.157257Z

Source-reported events for the cited work

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Observation 84763f26-e404-4299-83e2-4f9271c8ff3d · outbound

This paper cites Large-Scale Study of Curiosity-Driven Learning.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Large-Scale Study of Curiosity-Driven Learning

Reference 21

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Observation 10d21d05-a695-4b4e-9f32-1cfd6bd8fa23 · outbound

This paper cites Exploration by Random Network Distillation.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Exploration by Random Network Distillation

Reference 22

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Observation d9708eae-0a06-4e27-8b0a-39fdd77d889f · outbound

This paper cites Randomized prior functions for deep reinforcement learning,.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Randomized prior functions for deep reinforcement learning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:43.818381Z

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Observation bc9ef8ca-a6c4-49c3-b588-e076d4af1322 · outbound

This paper cites Fast active learning for pure exploration in reinforcement learning,.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Fast active learning for pure exploration in reinforcement learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:43.572233Z

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Observation e0d6309e-1719-4bf5-a7d2-7193a8dae6a2 · outbound

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Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems # exploration: A study of count-based exploration for deep reinforcement learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:43.310875Z

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Observation 16a5722b-ccca-4208-bb58-b7412a6a7e36 · outbound

This paper cites Go-Explore: a New Approach for Hard-Exploration Problems.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Go-Explore: a New Approach for Hard-Exploration Problems

Reference 26

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Observation d28035f0-aadb-4915-83d3-90f2e7e7cc3d · outbound

This paper cites First return, then explore,.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems First return, then explore,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:43.039615Z

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Observation b25f14d2-0ef2-4fc4-98fc-5b3db13d6108 · outbound

This paper cites Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T21:33:35.132039Z

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Observation 3f31a89c-dfa3-46ad-a787-31beb912227c · outbound

This paper cites A comprehensive survey on safe reinforcement learning,.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems A comprehensive survey on safe reinforcement learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:42.698606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4a86cb93-5458-470a-acfa-5d08381dd836 · outbound

This paper cites Trial without Error: Towards Safe Reinforcement Learning via Human Intervention.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Trial without Error: Towards Safe Reinforcement Learning via Human Intervention

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T21:33:35.315253Z

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Observation 2e800d42-c001-4948-8579-cb69a9048ba5 · outbound

This paper cites Policy gradient in continuous time,.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Policy gradient in continuous time,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:42.482119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 12a82e21-f152-4421-bd38-9659339fcf81 · outbound

This paper cites Making deep Q-learning methods robust to time dis- cretization,.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Making deep Q-learning methods robust to time dis- cretization,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:42.225469Z

Source-reported events for the cited work

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Observation 9bf35128-1d6c-40f9-8dff-3e1a08431cdc · outbound

This paper cites Time discretization-invariant safe action repetition for policy gradient methods,.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Time discretization-invariant safe action repetition for policy gradient methods,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:42.037479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6a3f0064-a959-44be-bc37-060185985191 · outbound

This paper cites Optimal scheduling of entropy regularizer for continuous-time linear-quadratic reinforcement learning,.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Optimal scheduling of entropy regularizer for continuous-time linear-quadratic reinforcement learning,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:41.858896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a8021655-0c66-493c-bb20-04aee29c2885 · outbound

This paper cites Indefinite stochastic riccati equations,.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Indefinite stochastic riccati equations,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:41.714543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7accc150-d4ad-4931-80bc-e33c5cef8d0a · outbound

This paper cites Existence of solutions to a class of indefinite stochastic riccati equations,.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Existence of solutions to a class of indefinite stochastic riccati equations,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:41.550446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ccc0b981-160e-4ae4-9d31-cb9faf4049c9 · outbound

This paper cites Reinforcement learning in continuous time and space: A stochastic control approach,.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Reinforcement learning in continuous time and space: A stochastic control approach,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:41.370950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8f088e2d-74bb-468c-8c19-ee4d41f8cfcc · outbound

This paper cites Exploration-exploitation trade-off for continuous-time episodic reinforcement learning with linear-convex models.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Exploration-exploitation trade-off for continuous-time episodic reinforcement learning with linear-convex models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T21:33:36.415315Z

Source-reported events for the cited work

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Observation dd631aed-b86c-4aaf-a250-0ecdc1143c55 · outbound

This paper cites Policy gradient and actor-critic learning in continuous time and space: Theory and algorithms,.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Policy gradient and actor-critic learning in continuous time and space: Theory and algorithms,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:41.177508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 99628674-cdfd-489c-8807-1efccfe2d68d · outbound

This paper cites Policy evaluation and temporal-difference learning in continuous time and space: A martingale approach,.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Policy evaluation and temporal-difference learning in continuous time and space: A martingale approach,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:41.048499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d2f9f109-02ae-4cbe-a0d1-57cad82d45d9 · outbound

This paper cites A stochastic approximation method,.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems A stochastic approximation method,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:40.850349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bddc39d1-6174-4d91-ba31-6f58c63fe5d9 · outbound

This paper cites Stochastic approximation,.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Stochastic approximation,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:40.619413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 52b5835a-44b2-4069-ac9a-03d5f5a4f485 · outbound

This paper cites an unresolved cited work.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:33:40.425098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ddca0fb6-7710-483a-9b99-e3eade5a629b · outbound

This paper cites An overview of stochastic approximation,.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems An overview of stochastic approximation,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:40.198447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ac6aff8d-77e2-43be-a347-3e08a1c4bc21 · outbound

This paper cites A stochastic approximation algorithm with varying bounds,.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems A stochastic approximation algorithm with varying bounds,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:39.861209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a05ae417-2113-4264-88f5-45e8b3888bc7 · outbound

This paper cites General bounds and finite-time improvement for the Kiefer-Wolfowitz stochastic approximation algorithm,.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems General bounds and finite-time improvement for the Kiefer-Wolfowitz stochastic approximation algorithm,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:39.528730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3d5c3919-a8a0-4fce-80c2-6332c5d319a7 · outbound

This paper cites A convergence theorem for non negative almost supermartin- gales and some applications,.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems A convergence theorem for non negative almost supermartin- gales and some applications,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:39.185660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9b5aaec9-6d3e-4734-8818-9053c94d0707 · outbound

This paper cites an unresolved cited work.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:33:38.840537Z

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Observation 8fcc4cb7-4208-41ba-83b1-a123ac4ebeb2 · outbound

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

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Regret of exploratory policy improvement and $q$-learning

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T21:33:38.321579Z

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Pith citing papers

Observation ec665d63-6095-424a-ab99-5b351f53c8d3 · inbound

ART for Diffusion Sampling: A Reinforcement Learning Approach to Timestep Schedule cites this paper.

ART for Diffusion Sampling: A Reinforcement Learning Approach to Timestep Schedule Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:42:45.321033Z

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Observation 9818ebf3-6f70-41c9-8d27-84dac68bed2a · inbound

Amortized Guidance for Image Inpainting with Pretrained Diffusion Models cites this paper.

Amortized Guidance for Image Inpainting with Pretrained Diffusion Models Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T19:37:52.603822Z

Source-reported events for the cited work

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Observation dd9a3f69-c1e9-47d8-9199-dfe392315231 · inbound

ART for Diffusion Sampling: Continuous-Time Control and Actor-Critic Learning cites this paper.

ART for Diffusion Sampling: Continuous-Time Control and Actor-Critic Learning Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:18:43.033802Z

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Observation 10076fa3-b771-462d-89e9-b6081230cc75 · inbound

ART for Diffusion Sampling: Continuous-Time Control and Actor-Critic Learning cites this paper.

ART for Diffusion Sampling: Continuous-Time Control and Actor-Critic Learning Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T08:25:48.021715Z

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

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