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Paper Citation Record · LEDGER

Adaptive Estimation of the Transition Density of Controlled Markov Chains

As of 15 August 2026, this Paper Citation Record lists 85 of 85 outbound references and 2 inbound Pith citation observations for arXiv:2505.14458.

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

pith.paper-citation-record.v1
2505.14458 v1

Coverage vector

measured 85 of 85 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:43:00.381048Z

measured 87 of 87 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-07T13:27:05.081050Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

85 of 85 outbound references displayed

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External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation f0395d91-51de-4da4-88f5-e09629ad1107 · outbound

This paper cites Inhomogeneous and anisotropic conditional density estimation from dependent data.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Inhomogeneous and anisotropic conditional density estimation from dependent data

Reference 1

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Observation 5ab058a8-934f-4dff-b089-a301c28dbadc · outbound

This paper cites An elementary view of Euler’s summation formula.

Adaptive Estimation of the Transition Density of Controlled Markov Chains An elementary view of Euler’s summation formula

Reference 2

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Observation 4501858e-75c2-426f-a575-6696f0d005ec · outbound

This paper cites Ash and Catherine A.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Ash and Catherine A

Reference 3

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Observation 1dc62683-5819-4bf7-a166-4d761f792aa3 · outbound

This paper cites Kernel Estimation for Real-Valued Markov Chains.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Kernel Estimation for Real-Valued Markov Chains

Reference 4

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Observation a2edd1d9-61bf-41c9-8fb3-2a713bae2efc · outbound

This paper cites CLT and Edgeworth Expansion for m-out-of-n Bootstrap Estimators of The Studentized Median.

Adaptive Estimation of the Transition Density of Controlled Markov Chains CLT and Edgeworth Expansion for m-out-of-n Bootstrap Estimators of The Studentized Median

Reference 5

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Observation af651178-6b5e-4c8f-aea6-bce6f32276e9 · outbound

This paper cites Goggin’s corrected Kalman Filter: Guarantees and Filtering Regimes.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Goggin’s corrected Kalman Filter: Guarantees and Filtering Regimes

Reference 6

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Observation d31c601e-68b2-4d04-9433-b888fd96f5c2 · outbound

This paper cites Off-line Estimation of Controlled Markov Chains: Minimaxity and Sample Complexity.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Off-line Estimation of Controlled Markov Chains: Minimaxity and Sample Complexity

Reference 7

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Observation 709e2379-3a02-47e2-94ee-fa8098fb4301 · outbound

This paper cites A new method for estimation and model selection:$$ \rho $$- estimation.

Adaptive Estimation of the Transition Density of Controlled Markov Chains A new method for estimation and model selection:$$ \rho $$- estimation

Reference 8

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Observation f3e62ebb-7f52-43b2-915e-ee9e95344031 · outbound

This paper cites Estimator selection with respect to Hellinger-type risks.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Estimator selection with respect to Hellinger-type risks

Reference 9

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Observation 4885e42f-9487-40a3-9500-f84162fc4d78 · outbound

This paper cites Estimating the intensity of a random measure by histogram type estimators.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Estimating the intensity of a random measure by histogram type estimators

Reference 10

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Observation e16f49e3-f025-43a1-99b0-7a43a3a6b34e · outbound

This paper cites Rho-estimators revisited: General theory and applications.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Rho-estimators revisited: General theory and applications

Reference 11

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Observation 62941709-6683-4fdd-884b-e845ab2baaf3 · outbound

This paper cites Risk bounds for model selection via penaliza- tion.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Risk bounds for model selection via penaliza- tion

Reference 12

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Observation b71c3789-cebc-4920-95b1-ddc08036d7c9 · outbound

This paper cites Interpolation Spaces: An Introduction.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Interpolation Spaces: An Introduction

Reference 13

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Observation fb09880a-b3d0-4021-b6d4-c6f8d5607c6c · outbound

This paper cites Occupation measures for controlled Markov processes: char- acterization and optimality.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Occupation measures for controlled Markov processes: char- acterization and optimality

Reference 14

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Observation cd303cb6-8394-44cb-bdcf-a002d31c3520 · outbound

This paper cites Explicit Constraints on the Geometric Rate of Convergence of Random Walk Metropolis-Hastings.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Explicit Constraints on the Geometric Rate of Convergence of Random Walk Metropolis-Hastings

Reference 15

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Observation 523e4735-c167-45f9-960c-c302eafa077d · outbound

This paper cites Statistical methods in Markov chains.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Statistical methods in Markov chains

Reference 16

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Observation cb8b397d-0b6b-4124-9137-ddcc74d81984 · outbound

This paper cites Model selection via testing: an alternative to (penalized) maximum likelihood estima- tors.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Model selection via testing: an alternative to (penalized) maximum likelihood estima- tors

Reference 17

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Observation 904a914a-e3db-4027-ac75-d1e369b3a979 · outbound

This paper cites Topics in controlled Markov chains.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Topics in controlled Markov chains

Reference 18

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Observation 24b279ff-a344-4790-ab19-c2791054e255 · outbound

This paper cites Basic Properties of Strong Mixing Conditions. A Survey and Some Open Ques- tions.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Basic Properties of Strong Mixing Conditions. A Survey and Some Open Ques- tions

Reference 19

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Observation a705e909-15ca-46e4-b1eb-9be09a045f79 · outbound

This paper cites Some Examples of Mixing Random Fields.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Some Examples of Mixing Random Fields

Reference 20

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Observation ade67df2-e1a7-4982-9652-7d288bd5536b · outbound

This paper cites On the Consistency of Maximum Likelihood Estimation of Probabilistic Principal Component Analysis.

Adaptive Estimation of the Transition Density of Controlled Markov Chains On the Consistency of Maximum Likelihood Estimation of Probabilistic Principal Component Analysis

Reference 21

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Observation a7f65fcb-bc2a-418f-9413-f68f467d9895 · outbound

This paper cites Trade-off Between Dependence and Complexity for Nonparametric Learning -- an Empirical Process Approach.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Trade-off Between Dependence and Complexity for Nonparametric Learning -- an Empirical Process Approach

Reference 22

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Observation 47cfeed9-84ca-415e-816e-1bfe40232133 · outbound

This paper cites Degree of Adaptive Approximation.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Degree of Adaptive Approximation

Reference 23

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Observation e59bba78-99cd-4099-86a7-8c2fc27763c5 · outbound

This paper cites Central Limit Theorem for Nonstationary Markov Chains. I.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Central Limit Theorem for Nonstationary Markov Chains. I

Reference 24

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Observation 15e87295-3578-4ddf-a6ac-efbddf2bb53f · outbound

This paper cites Central Limit Theorem for Nonstationary Markov Chains. II.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Central Limit Theorem for Nonstationary Markov Chains. II

Reference 25

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Observation a7d06dcd-4b13-4a25-8db3-c9814d9503cc · outbound

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Adaptive Estimation of the Transition Density of Controlled Markov Chains Unresolved cited work

Reference 26

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Observation 60c9d933-36ae-428c-b85d-657e33485569 · outbound

This paper cites Probability inequalities related to Markov’s theorem.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Probability inequalities related to Markov’s theorem

Reference 27

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Observation 8f3b5d70-8e5f-46eb-a2d3-fb17a33b7d2a · outbound

This paper cites On a New Characterization of Harris Recurrence for Markov Chains and Processes.

Adaptive Estimation of the Transition Density of Controlled Markov Chains On a New Characterization of Harris Recurrence for Markov Chains and Processes

Reference 28

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Observation eaf9c859-165a-40ad-addb-f5c679bde744 · outbound

This paper cites Wide-sense regeneration for Harris recurrent Markov processes: an open prob- lem.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Wide-sense regeneration for Harris recurrent Markov processes: an open prob- lem

Reference 29

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Observation 91cbd38d-f768-470c-9816-b3121123e50b · outbound

This paper cites Convergence of filters with applications to the Kalman-Bucy case.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Convergence of filters with applications to the Kalman-Bucy case

Reference 30

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Observation 19207183-f5df-4eac-8703-01f6e03e082b · outbound

This paper cites Probability: a graduate course.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Probability: a graduate course

Reference 31

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Observation 01f2688d-26ed-4456-9c10-bee7394a1eff · outbound

This paper cites Weak ergodicity in non-homogeneous Markov chains.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Weak ergodicity in non-homogeneous Markov chains

Reference 32

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Observation 367ab5ab-064b-4617-89ec-3fe4d7151e2e · outbound

This paper cites Recurrence con- ditions for Markov decision processes with Borel state space: a survey.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Recurrence con- ditions for Markov decision processes with Borel state space: a survey

Reference 33

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Observation 7b18a6de-75d7-4420-8ead-e32649c482f6 · outbound

This paper cites Using Reward Machines for High-Level Task Specification and Decom- position in Reinforcement Learning.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Using Reward Machines for High-Level Task Specification and Decom- position in Reinforcement Learning

Reference 34

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Observation 40abf9ff-a0a9-47ab-b05e-f286cfb98a7d · outbound

This paper cites Concentration inequalities for dependent random variables via the martingale method.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Concentration inequalities for dependent random variables via the martingale method

Reference 35

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Observation 68f67923-8468-4f78-abcc-b6bbc241869d · outbound

This paper cites Partially Observed Markov Decision Processes: From Filtering to Controlled Sensing.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Partially Observed Markov Decision Processes: From Filtering to Controlled Sensing

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:55.379469Z digest=sha256:825fbc21120a09e7706ca25c0573938bd75dd80a534877c907b0dd16ad354438

Observation 3f3c7e4d-e14b-4b58-896b-8f2516d915f9 · outbound

This paper cites Adaptive estimation of the transition density of a Markov chain.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Adaptive estimation of the transition density of a Markov chain

Reference 37

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source=pdf_text observed=2026-08-07T15:42:55.484244Z digest=sha256:c28a9e89421272e000d6d34fb3dba7c67294b79b3711ac0be5a4e6115fc3843c

Observation 42be6bad-0ece-48e9-a695-112947854d37 · outbound

This paper cites Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Reference 38

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source=pdf_text observed=2026-08-07T15:42:55.580566Z digest=sha256:981a75cb3f78281cd091d56ba745a9c9c87ff287a88367696abce999bb963ed9

Observation 4a247a51-8a54-4e34-a391-4d335033f1aa · outbound

This paper cites System identification (2nd ed.): theory for the user.

Adaptive Estimation of the Transition Density of Controlled Markov Chains System identification (2nd ed.): theory for the user

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:43:10.336983Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:55.673434Z digest=sha256:004585f335b9b6a6e7756657ef7b1611b60c0b7b3e02a530d96439fdc1989951

Observation 1b596b40-daba-4b44-b96b-3fa3776b8348 · outbound

This paper cites Spectral thresholding for the estimation of Markov chain transition operators.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Spectral thresholding for the estimation of Markov chain transition operators

Reference 40

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local_arxiv, observed 2026-08-07T15:43:01.353024Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:55.803508Z digest=sha256:b8d73dba13ac5565192f9c2e9b76bcb3bcd6e6d7308c36b9c0d0d66dfc924cab

Observation e44d29d4-dcdf-4755-ae9a-f4e9f077e63f · outbound

This paper cites Active Learning for Nonlinear System Identification with Guarantees.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Active Learning for Nonlinear System Identification with Guarantees

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:43:02.532507Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:55.864825Z digest=sha256:67012f5eb1364e59a32a047e6be08ecfd73d429e3e3f8cfd9a46c7e241840894

Observation 10cc74ff-e917-48b3-af51-4b44cc58182a · outbound

This paper cites Concentration Inequalities and Model Selection.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Concentration Inequalities and Model Selection

Reference 42

Resolution
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no resolver link, observed 2026-08-07T15:42:55.956341Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:55.956341Z digest=sha256:395632856a9eda74c0ad44d06a40cda74d0b6b7492d78c79aaca4641c6ceaadc

Observation 9a621f3d-7e18-4850-90da-f7073d622288 · outbound

This paper cites On the local limit theorems for lower psi- mixing Markov chains.

Adaptive Estimation of the Transition Density of Controlled Markov Chains On the local limit theorems for lower psi- mixing Markov chains

Reference 43

Resolution
verified exact
doi, observed 2026-08-07T15:43:01.132988Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:56.018076Z digest=sha256:eb7cf8ba350cdda6d53e15662c89e197a005bc67b80057befa2e551e85f3fe64

Observation f28d97a0-ea62-434f-9962-ea2b5a89dec1 · outbound

This paper cites On the local limit theorems for psi- mixing Markov chains.

Adaptive Estimation of the Transition Density of Controlled Markov Chains On the local limit theorems for psi- mixing Markov chains

Reference 44

Resolution
verified exact
doi, observed 2026-08-07T15:43:00.915093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:56.085013Z digest=sha256:00e815e004160550fe5e938f62b0732a2a6aaae06de789512310f03995c747d2

Observation 7bf87257-d687-4289-b668-3fc925fd2f0c · outbound

This paper cites Bernstein inequality and moderate de- viations under strong mixing conditions.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Bernstein inequality and moderate de- viations under strong mixing conditions

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:43:09.954587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:56.142526Z digest=sha256:00808833be815d121bc67ed919627bff8d73f42eead6e28a594ccf5f2ccee795

Observation 7414db79-914c-4c39-8df5-66fe81fa03f4 · outbound

This paper cites Markov chains and stochastic stability.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Markov chains and stochastic stability

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:43:09.744966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:56.214738Z digest=sha256:0847ea3c33d79f1eee8ac4d209c147e0896439ca1565379293f18b6ac2374646

Observation 098dc11a-65e4-49ff-b3fa-f6babc2c64f7 · outbound

This paper cites The Importance of Non-Markovianity in Maximum State Entropy Exploration.

Adaptive Estimation of the Transition Density of Controlled Markov Chains The Importance of Non-Markovianity in Maximum State Entropy Exploration

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:43:02.255569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:56.295081Z digest=sha256:c8ecfeb45d350ed4ba70eb7ac57272186432fb822b7696e6690f38637dc9adff

Observation b1d3c277-4a13-4d28-a1b5-546e5868444f · outbound

This paper cites A User’s Guide to Measure Theoretic Probability.

Adaptive Estimation of the Transition Density of Controlled Markov Chains A User’s Guide to Measure Theoretic Probability

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:43:09.447005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:56.363706Z digest=sha256:e9e91071dcbbfea144732ff5ff8414c273d2e02d092efff96568661c556b9da8

Observation f1baf2c9-4811-4138-b26f-fdfe51a7054a · outbound

This paper cites Asymptotic Theory of Weakly Dependent Random Processes.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Asymptotic Theory of Weakly Dependent Random Processes

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:56.517316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:56.517316Z digest=sha256:b4a564a5edb95717de1259d52598d06e7be011425d795585a3cbf418644d7895

Observation 25b759a1-e219-4f02-95a6-7356644727fa · outbound

This paper cites an unresolved cited work.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:43:09.227613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:56.580131Z digest=sha256:c60ebae70692df31ec66c106537f52e51abb47be0451fd9550e887936fea04f7

Observation 0e120d5e-81e9-4a44-a27b-c39a675cc161 · outbound

This paper cites Density estimation under local differential privacy and Hellinger loss.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Density estimation under local differential privacy and Hellinger loss

Reference 51

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:56.648024Z digest=sha256:b1360759c7da52daefcb54e2d6755162ec6e01412f7420859293379e95067045

Observation 948a9245-d215-4b58-9ec6-82388a684750 · outbound

This paper cites an unresolved cited work.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Unresolved cited work

Reference 52

Resolution
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doi, observed 2026-08-07T15:43:00.757797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:56.436545Z digest=sha256:28fba3ab50bcce68d77177ed6e9f4ff025382dea02860d99fa013b5bba46bfe1

Observation 3112c406-ff2d-4033-a976-284ce1fe4507 · outbound

This paper cites Modeling Medical Treatment Using Markov Decision Processes.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Modeling Medical Treatment Using Markov Decision Processes

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:43:08.779058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:56.763645Z digest=sha256:085c558d73b0e09114b7cb7872e9ef8f3049b849e5700eb2ea4b5ab5dd87013c

Observation a67ecb48-2853-4d17-96c1-b7d0793ec89e · outbound

This paper cites Semi-stationary processes.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Semi-stationary processes

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:43:08.597450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:56.937483Z digest=sha256:2cdcd2a55cb23ead5dfa71446706ea913cd66fc8dc6c386930d4eb7522900cfa

Observation 3240a445-c635-41f0-a561-97669bc00a3f · outbound

This paper cites Reinforcement learning: An introduction.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Reinforcement learning: An introduction

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:56.964883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:56.964883Z digest=sha256:2e9d3c136a3b6479618c2b64e5622c1db8b989f60025d5c260782f4dee1fc110

Observation 0bed60da-17b5-492d-ae65-a99871323ba9 · outbound

This paper cites Estimation of the transition density of a Markov chain.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Estimation of the transition density of a Markov chain

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:43:09.036797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:56.702982Z digest=sha256:28b8974476610343111c1b2e0328f3383e3f65df7b3750f68e0b7a21e6e16cdf

Observation 06875985-4bd3-4dab-a9c6-1f3223eb239b · outbound

This paper cites On the Foundation of Distributionally Robust Reinforcement Learning.

Adaptive Estimation of the Transition Density of Controlled Markov Chains On the Foundation of Distributionally Robust Reinforcement Learning

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:43:08.133486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:57.227520Z digest=sha256:20a2a51754562a34a037314d4bd7c6723b2cb1a02d02b844516cb21af44c6be3

Observation 9eda7874-00bb-4eda-bf75-9acd14c1df0b · outbound

This paper cites Products of Indecomposable, Aperiodic, Stochastic Matrices.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Products of Indecomposable, Aperiodic, Stochastic Matrices

Reference 58

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T15:43:07.901739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:57.467662Z digest=sha256:0445eec74032d3eb92cf39629f04e962153895b4091006be531767f39892e344

Observation 77c05951-d663-404e-ab89-292ffbd728d8 · outbound

This paper cites Online Adversarial Stabilization of Unknown Linear Time-Varying Systems.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Online Adversarial Stabilization of Unknown Linear Time-Varying Systems

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:57.636584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:57.636584Z digest=sha256:d20f88b8a3bda1c55a04affea1b1b5a59ad5d3aff3e80b580cc24c43b9a5f4f3

Observation 3d661081-57bf-488c-9d37-731d074e39bb · outbound

This paper cites Introduction to Nonparametric Estimation.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Introduction to Nonparametric Estimation

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:43:08.360753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:57.057382Z digest=sha256:c709bd97f3bf88987f2b75f88f4f42587340211ae2c0f947cf80121b024cdedc

Observation d0610a55-3fd5-4d9e-b68b-51755106ae3d · outbound

This paper cites Furthermore, P m∈M∞ e−|m| ≤ P l≥0 2l(2d1+d2)e−2l(2d1+d2) ≤ 15, and for any m ∈ Ml, |m| ≤2l(2d1+d2) where |m| is the cardinality of the partition m.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Furthermore, P m∈M∞ e−|m| ≤ P l≥0 2l(2d1+d2)e−2l(2d1+d2) ≤ 15, and for any m ∈ Ml, |m| ≤2l(2d1+d2) where |m| is the cardinality of the partition m

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:43:07.706226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:57.723115Z digest=sha256:4b1bfb53ddd9d96d37591d5ca463a25976ded79d8ed51925c1824bc96f5e91f9

Observation 88f4194c-e39f-45ca-bcb3-ad2d0a42c1c9 · outbound

This paper cites an unresolved cited work.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:43:07.485396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:57.847467Z digest=sha256:bcf86b10246dd6d7f38b61ce4cc5c67b9603494ef19d2cc36b5fbc6c815cf764

Observation c1f81a86-bb8d-42c4-8e17-8b38e731ce99 · outbound

This paper cites , Kl} ∈S m∈Ml m such that K ⊂ Ki, i∈ {1,.

Adaptive Estimation of the Transition Density of Controlled Markov Chains , Kl} ∈S m∈Ml m such that K ⊂ Ki, i∈ {1,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:43:07.173560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:58.014737Z digest=sha256:63f6b8e2229505eeccb47899957d542581e2fbaa117516640cbace38761d0afe

Observation 39ea561d-a6f4-4fc7-8cec-3ef5e4b41a4b · outbound

This paper cites To be precise, m ∨ m′ = [ K′∈m′ m ∨ K′ (A.1) where m ∨ K′ is as defined in eq.

Adaptive Estimation of the Transition Density of Controlled Markov Chains To be precise, m ∨ m′ = [ K′∈m′ m ∨ K′ (A.1) where m ∨ K′ is as defined in eq

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:43:06.930143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:58.119504Z digest=sha256:0bab62e6a6338dd3a7b8038d01e3363f668f237a950209df21e450541286948e

Observation c11fc3e3-8d85-403c-9bd9-0e84169db541 · outbound

This paper cites Sincepen(m) = L(1.5+log n)|m|/n, and |χ×I×χ| = 1 −2 − L(1.5 + logn)/n ≤ 3 − L(1.5 + logn)|m⋆ 2 ∨ K|/n.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Sincepen(m) = L(1.5+log n)|m|/n, and |χ×I×χ| = 1 −2 − L(1.5 + logn)/n ≤ 3 − L(1.5 + logn)|m⋆ 2 ∨ K|/n

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:43:06.650985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:58.356277Z digest=sha256:2b96b1216078f08ca4481eb6aea2173b7135e98041c0fa845109391fc3d26f84

Observation f24b48fe-142c-42fa-8948-2b42f16df677 · outbound

This paper cites Hence, with probability at most exp − n pen(m1)+pen(m2) κ − n ζ , 1 − 1√ 2 H2 s, f2 + T f1, f2 − 1 + 1√ 2 H2 s, f1 ≤ 1 4 1 − 1√ 2 h H2 s, f2 + H2 s, f1 i + xκ n.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Hence, with probability at most exp − n pen(m1)+pen(m2) κ − n ζ , 1 − 1√ 2 H2 s, f2 + T f1, f2 − 1 + 1√ 2 H2 s, f1 ≤ 1 4 1 − 1√ 2 h H2 s, f2 + H2 s, f1 i + xκ n

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:43:06.295063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:58.507432Z digest=sha256:9d3c8efcbc8c3b5698f8494f6d842c1194c7d9c827da8fba63a795f56d97f1a1

Observation c9d28a15-6d99-459c-a08b-757d8f3a9ea8 · outbound

This paper cites We prove 3.

Adaptive Estimation of the Transition Density of Controlled Markov Chains We prove 3

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:43:06.003439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:58.634283Z digest=sha256:f15ddf365edf537253d27099ab150f88e6312427e88283643c806f24292882b0

Observation 8be43c2f-dd36-416e-a2ce-e00ab03a0c43 · outbound

This paper cites (A.1) m ∨ m′ = [ K′∈m′ m ∨ K′ where m ∨ K′ := K′ ∩ K : K ∈ m, K′ ∩ K ̸= Ø.

Adaptive Estimation of the Transition Density of Controlled Markov Chains (A.1) m ∨ m′ = [ K′∈m′ m ∨ K′ where m ∨ K′ := K′ ∩ K : K ∈ m, K′ ∩ K ̸= Ø

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:43:05.608148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:58.730639Z digest=sha256:52fc33b324a751b01993cae13778dc0b789f4c2e146791507d7d400e91f4ddfa

Observation 9802bbe8-7869-4e9d-b2bf-18fed51159f9 · outbound

This paper cites an unresolved cited work.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:43:05.422080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:58.841016Z digest=sha256:b06ce4df0b7a627fd557ffe2c5a61badedc4a5df7d0c82da39c6471c9a59e7d0

Observation 016a5648-3a62-4db6-b167-3823e29cc49f · outbound

This paper cites an unresolved cited work.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Unresolved cited work

Reference 75

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:43:05.150307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:58.991560Z digest=sha256:8a16eff97be98b3aa7fe88e0e001abac040d1798aff4826336d22a4b2c817cb3

Observation 61ad21b6-d64a-423f-8da1-ea9aaf115c47 · outbound

This paper cites This gives us the required result.

Adaptive Estimation of the Transition Density of Controlled Markov Chains This gives us the required result

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:43:04.929692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:59.183712Z digest=sha256:4605772c213e9495b3d65837f2b85e0409bb0966e7688f4c8e77c718de4a8591

Observation f332146e-1823-4374-ba17-c31aaaf64d57 · outbound

This paper cites (B.26) Then, R(n) ≤ 4/n 40.

Adaptive Estimation of the Transition Density of Controlled Markov Chains (B.26) Then, R(n) ≤ 4/n 40

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:43:04.680490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:59.367458Z digest=sha256:0b667cfab08293222f3505d7d3f3c1166e81d264b2f05b85418d7a09c26de87d

Observation 428d65df-dcfa-41e0-8dc8-69673106b077 · outbound

This paper cites Broadly, our strategy is to pose the question of tightness of R(n) in terms of sample complexity, and then follow the usual techniques from [56] to show minimaxity.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Broadly, our strategy is to pose the question of tightness of R(n) in terms of sample complexity, and then follow the usual techniques from [56] to show minimaxity

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:43:04.486558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:59.505780Z digest=sha256:c5eb5f0d814d4e33e4fdf8a856bea99afbbe5249ba521529828ff6e87f021554

Observation d33ac922-1e62-4075-b0a1-fdabc624bac3 · outbound

This paper cites , d1/3}, the expected return time T as defined in definition 4 satisfies T (S) = 4 5ι2Vol(S).

Adaptive Estimation of the Transition Density of Controlled Markov Chains , d1/3}, the expected return time T as defined in definition 4 satisfies T (S) = 4 5ι2Vol(S)

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:43:04.309400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:59.623856Z digest=sha256:a611708be4343177f2eaaa4bafb0aabf1d8f5cac96e5acffbb80172d12354685

Observation 218e7fa5-925e-4498-b72f-01d7290a20f0 · outbound

This paper cites In particular, cp as written in Assumption 1 is only depends upon ι.

Adaptive Estimation of the Transition Density of Controlled Markov Chains In particular, cp as written in Assumption 1 is only depends upon ι

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:43:04.090968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:59.724740Z digest=sha256:18313f0263f5dd61d88f70a39a2fdb36bcc0de6e8b67da231cd5d065c6fd900a

Observation 201eda6a-7107-405b-9648-96d98cadcee5 · outbound

This paper cites an unresolved cited work.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Unresolved cited work

Reference 81

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:43:03.902419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:59.792393Z digest=sha256:5d4e1d28911feebedffbb5a1d087dfbab14fa9f90202bfdcd9a4bcaf646f4e3f

Observation 7aa9b953-e5c6-42bf-ad2b-397e166feebd · outbound

This paper cites an unresolved cited work.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Unresolved cited work

Reference 82

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:43:03.689593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:59.933864Z digest=sha256:700ef69423c10cbe280ab1c296e5db2bee00da5907c2fb352299414229769208

Observation 9556504b-afe5-432d-adb3-82f9f6fa6238 · outbound

This paper cites an unresolved cited work.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Unresolved cited work

Reference 83

Resolution
parse uncertain
raw_fallback, observed 2026-08-07T15:43:03.453906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:43:00.044921Z digest=sha256:ce63aaff5e48580c9e15be5926970a97804348b5fe8ca50c59823c23803aab94

Observation 80758fd2-de73-4fad-aa5c-9ac733ed4d66 · outbound

This paper cites (√s − p ¯f )2 ¯f + 1 # = 2 ¯f.

Adaptive Estimation of the Transition Density of Controlled Markov Chains (√s − p ¯f )2 ¯f + 1 # = 2 ¯f

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:43:03.212152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:43:00.180499Z digest=sha256:0c8f632811cf5d48b2e838458e912495e190f0de04d79d8ea8c8fd696488446a

Observation 1bbe70e2-c2e6-4e8d-931c-cba7df78c8a9 · outbound

This paper cites n−1X i=0 1 Sr (Xi, ai) #) = [ Sr∈m(2) ref ( − n 2 νn(Sr) ≥ n−1X i=0 1 Sr (Xi, ai) − E.

Adaptive Estimation of the Transition Density of Controlled Markov Chains n−1X i=0 1 Sr (Xi, ai) #) = [ Sr∈m(2) ref ( − n 2 νn(Sr) ≥ n−1X i=0 1 Sr (Xi, ai) − E

Reference 85

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T15:43:03.037635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:43:00.381048Z digest=sha256:8c7afcfc3f94e2d877969bd97446d4d8faca22be67caccd13a535f8933e859c9

Observation d703461f-d83e-4f14-9653-086a2eef2f21 · outbound

This paper cites DOI: 10.1007/1-4020-8066-2_23.

Adaptive Estimation of the Transition Density of Controlled Markov Chains DOI: 10.1007/1-4020-8066-2_23

Reference 612

Resolution
verified exact
doi, observed 2026-08-07T15:43:00.538732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:56.859426Z digest=sha256:975ccdae340b803df3c5d2bdfe500dcad3e1143f5653e52e16e320605182ff92

Observation 3b684cbd-a168-499b-ab8f-da1dd81744cb · outbound

This paper cites an unresolved cited work.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Unresolved cited work

Reference 1999

Resolution
parse uncertain
raw_fallback, observed 2026-08-07T15:43:10.127894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:42:55.730770Z digest=sha256:ccd10bb467be2ab5915f6dd9d613aee04a08a4ba9dc2a5dc4387cebd2dc7a070

Observation ecb6e7f0-6706-4373-84b0-dfaaaf68ac5b · outbound

This paper cites an unresolved cited work.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Unresolved cited work

Reference 2000

Resolution
parse uncertain
no resolver link, observed 2026-08-07T15:42:51.387467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:51.387467Z digest=sha256:6164bab074c98238ac30b3bb0dee513467b904ea74e05331c6691ddbe8d9c0f9

Observation cdf31e3a-7964-444c-bc40-77b90582c748 · outbound

This paper cites On the Foundation of Distributionally Robust Reinforcement Learning.

Adaptive Estimation of the Transition Density of Controlled Markov Chains On the Foundation of Distributionally Robust Reinforcement Learning

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:57.347174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:57.347174Z digest=sha256:3c63f139c77663abc1a75cc6fd084b919a3a2f8920221f54860112a4f9bbde04

Observation 4604db3f-0edc-4092-b6fe-87ea9ecde5b9 · outbound

This paper cites an unresolved cited work.

Adaptive Estimation of the Transition Density of Controlled Markov Chains Unresolved cited work

Reference 2064

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:52.656029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:52.656029Z digest=sha256:f10be3fdd2b9bbbb84c089f0068a9433be93e93b7cf588cdb404c9f9a527c75a

Pith citing papers

Observation 085970f3-2a0f-437e-abc5-d29b6a187922 · inbound

Adaptive Estimation and Optimal Control in Offline Contextual MDPs without Stationarity cites this paper.

Adaptive Estimation and Optimal Control in Offline Contextual MDPs without Stationarity Adaptive Estimation of the Transition Density of Controlled Markov Chains

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-09T03:25:15.036464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-07T13:27:05.081050Z digest=sha256:fced96bcabebac32c6803ef801ec66b78638618ea69e0e8302978e9bde04a0b1

Observation a6dd3002-744c-477b-af38-1d0c6b5ed73d · inbound

Adaptive Estimation and Optimal Control in Offline Contextual MDPs without Stationarity cites this paper.

Adaptive Estimation and Optimal Control in Offline Contextual MDPs without Stationarity Adaptive Estimation of the Transition Density of Controlled Markov Chains

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:56:26.470122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-07T13:27:05.081050Z digest=sha256:92fa0f51a4f5cccdb667e4271f9dc6436dd13713623eec2095766b084553a5f5