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Paper Citation Record · LEDGER

Adaptive Estimation of the Transition Density of Controlled Markov Chains

As of 13 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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:55.379469Z digest=sha256:3ed951b70f053026960e4ba5159267cceb8b6ed2db0797834b894564b8942cc1

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

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

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

source=pdf_text observed=2026-08-07T15:42:55.673434Z digest=sha256:a4edb46428c210d6d06d01262e375a6fa013f17b97ecfe791c8a08969bcbd101

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:55.803508Z digest=sha256:2140fe8623112b177761b51c2863dbfef26371d0251d86bda5706b914a972dae

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

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

source=pdf_text observed=2026-08-07T15:42:55.864825Z digest=sha256:3f7cd813d2e4c2c04f1e163eb9a1b5ca183f4cfc94e3a14db017d93231192f9a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:56.018076Z digest=sha256:69f172d2f8df201fb4c24d3d13ac15a66e9dc565783d78208c25218391b6d98e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:56.085013Z digest=sha256:a34edb3baada019db889460324b0fa6056bbcda5736e909d5c789bfe4953af01

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:56.142526Z digest=sha256:945ce5331cb8b97aa7b871f07b60db8c342ebcb44f82a88d4bab2488f2f19430

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:56.214738Z digest=sha256:d01cb1b3de3fd7a1fdcf420fb4bfee21583695b56b650de10e6266294ae5b99a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:56.295081Z digest=sha256:7874fce7ca28dba6c181399cef902b4d0d771b5b3ee967d41c1b7049b72c9e19

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:56.363706Z digest=sha256:4978aaf279dbb9b9abc8488b0ca6a15c2815a1dd2932f3efda98dad6e94f10a6

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
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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:56.580131Z digest=sha256:c79871d24c32022ef43fe6b8518eba6d795064e8995109848cf193be7a55c405

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:56.436545Z digest=sha256:90718dc0d335c622ae715787b45dfe9788bec083839934bc0bd30ab218d42fd9

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:56.763645Z digest=sha256:127e53c9c7cd9a809f78114f21159efaa5ea5a4ecf4c231e7b22f62cac6c657d

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:56.937483Z digest=sha256:892bc404510157c403ef98121366cf1c95b6c541a33e7b0724e75bf771d6fdc9

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
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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:56.702982Z digest=sha256:5dae24605baf328b9ffbba1e93822d5d8af2dc9f42a5073e1c3cb2341c52d6b0

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:57.227520Z digest=sha256:9cc760bfa9e47b96038e2d707156f1a23d480568380fe8f11e428b7d49208436

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:57.467662Z digest=sha256:81d4f4c5c3b3e17e4ffefddbad92926c95050bfdfbe7d81058d6de30b56664fa

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:57.057382Z digest=sha256:1158692f56ca05d71fbbfbba8751aa4bc8a4e6b62e4d85875320f407a703bb0a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:57.723115Z digest=sha256:39bf62825c2116a748a4d350af6952f8baed957900facab5f9c16ff94027fda1

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:57.847467Z digest=sha256:aa195ad21937e0a620c2a73362e59b930072f5d98e71786a565057d5e2f22107

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:58.014737Z digest=sha256:f25fa4035ef711890f7fee813940777389c872620cb04dfe95b066b6c9509f46

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:58.119504Z digest=sha256:ea5dd9c6ff1fedf6776512679e88db0f187cd91730f3405704bcf8e47fc212a4

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:58.356277Z digest=sha256:cdab8e352f7597fc0a7c80c2dd54370933e51d677532dd35cf0c87cc9fce756c

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:58.507432Z digest=sha256:adf1d3d45faa13f34ce41153166995d97d8e83055d2da2b5751b26ffa8b90662

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:58.634283Z digest=sha256:8aa2e8339c4b8c27d32c91568ba15beb31d6183e04d474b79e561a4834d2603a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:58.730639Z digest=sha256:310a204402e2f30fa5f1c7376a1efbe004b4d3e6e486d91671882e735284579e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:58.841016Z digest=sha256:39db5a0ac64bcc8905582c0c5d767ca7566a66c45e2ffa4c17b22ce403174709

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:58.991560Z digest=sha256:01ea087aa27bd6207afd8fc5a4900386c9b0752827e82942f45b2ca2550ee760

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:59.183712Z digest=sha256:4bd2c0f9deb4a24541de7748351087ea584be348e4fb28bd9b6f6fb7a4b7e278

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:59.367458Z digest=sha256:2c2636e17d64c0d8edc1d003bfb2a9e4d0ed58f579d36a3f75423c6fcae22369

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:59.505780Z digest=sha256:bb837bcc83fc3ccf4877bfa30c85f472d8505a3ff3766edca9dfb672990e95f5

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:59.623856Z digest=sha256:2367ba54a6f027ac69f16689b47d0938ab628a2ae0dc9fbc2eaaa9a8590fdeec

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:59.724740Z digest=sha256:e03a7f1cfc11be28f8f324da3e2355607e3b7550948bca84795552edcf80655a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:59.792393Z digest=sha256:806d7baf946701ba9e0033177bc1ace4b5844f55699544581f20abab134b5b2e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:59.933864Z digest=sha256:43b49aa0a7d97927d08cecefce0e9d0cbeb63064e3dc51359258a5c963528078

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:43:00.044921Z digest=sha256:cb6c3d964e6a95556b45dfacec75a5592fd009110d162c803694cd5e909fcd63

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:43:00.180499Z digest=sha256:b94dcec7ec0ac33d53f59c7595bdf910859262f6c30b3be9bdcccf3fba8ba337

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:43:00.381048Z digest=sha256:f343ce8e0b7ebd0497d7d647b9da63d0b3cef2c8a01f7f3ed493af3f811b45e0

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:56.859426Z digest=sha256:d6f08df573662307bfc73412ee9f17bd186a43dd294a10c48b564f32c30443e5

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:42:55.730770Z digest=sha256:98fd616e7d3f86a19b237babe72f9407b917c1c76be5ef2a4c1bb63cd202ac55

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-07T13:27:05.081050Z digest=sha256:60a6b6e7341794ce257a1174c0747595c7310a5fb73985368fa75aa6d6eb3937

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-07T13:27:05.081050Z digest=sha256:8b2007f424937f3121b06704b539c000ae002d7d3ac893ef14331d80cf2de2f5