Paper Citation Record · LEDGER

Statistical inference for Linear Stochastic Approximation with Markovian Noise

As of 15 August 2026, this Paper Citation Record lists 94 of 94 outbound references and 4 inbound Pith citation observations for arXiv:2505.19102.

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pith.paper-citation-record.v1
2505.19102 v1

Coverage vector

measured 94 of 94 reference resolution

Typed states for the displayed outbound observations.

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measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:29:02.029526Z

Reference resolution

94 of 94 outbound references displayed

verified exact2
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External citation measurements

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Outbound references

Observation 44787c73-49f1-480a-bd62-2e8ba95f1189 · outbound

This paper cites High-dimensional central limit theorems for linear functionals of online lea st-squares sgd.

Statistical inference for Linear Stochastic Approximation with Markovian Noise High-dimensional central limit theorems for linear functionals of online lea st-squares sgd

Reference 1

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Observation 525a6c04-be9c-4813-b8c9-8c53c2e8d743 · outbound

This paper cites On a per turbation approach for the analysis of stochastic tracking algorithms.

Statistical inference for Linear Stochastic Approximation with Markovian Noise On a per turbation approach for the analysis of stochastic tracking algorithms

Reference 2

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Statistical inference for Linear Stochastic Approximation with Markovian Noise Unresolved cited work

Reference 3

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This paper cites On the generat ion of markov decision processes.

Statistical inference for Linear Stochastic Approximation with Markovian Noise On the generat ion of markov decision processes

Reference 4

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Observation ef184d50-36e4-4404-aecf-3cd0251ddb59 · outbound

This paper cites A martingale decomp osition for quadratic forms of Markov chains (with applications).

Statistical inference for Linear Stochastic Approximation with Markovian Noise A martingale decomp osition for quadratic forms of Markov chains (with applications)

Reference 5

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This paper cites Barsov and V.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Barsov and V

Reference 6

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Statistical inference for Linear Stochastic Approximation with Markovian Noise Unresolved cited work

Reference 7

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Observation 8de54819-8dca-41a7-9196-8b959ac58aef · outbound

This paper cites Benveniste, M.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Benveniste, M

Reference 8

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Observation 025d5037-e3f3-4a48-9d87-7dd88ed8b820 · outbound

This paper cites Edgeworth expan sions of suitably normalized sample mean statistics for atomic markov chains.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Edgeworth expan sions of suitably normalized sample mean statistics for atomic markov chains

Reference 9

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This paper cites Bhandari, D.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Bhandari, D

Reference 10

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This paper cites Bolthausen.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Bolthausen

Reference 11

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This paper cites Bolthausen.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Bolthausen

Reference 12

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This paper cites The berry-esseen theorem for functi onals of discrete markov chains.

Statistical inference for Linear Stochastic Approximation with Markovian Noise The berry-esseen theorem for functi onals of discrete markov chains

Reference 13

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Observation 62aa3b15-96d6-492d-98eb-2c58fa9579ab · outbound

This paper cites Stochastic Approximation: A Dynamical Systems Viewpoint.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Stochastic Approximation: A Dynamical Systems Viewpoint

Reference 14

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Observation 026f21b1-7eab-401d-a64c-3144cb8a513f · outbound

This paper cites Statistical infere nce for online decision making via stochastic gradient descent.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Statistical infere nce for online decision making via stochastic gradient descent

Reference 15

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Observation 8935c2ec-338d-4a2e-8270-44faaf4c79dd · outbound

This paper cites Lee, Xin T.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Lee, Xin T

Reference 16

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Observation d9efb821-8e96-4911-a4e4-b17340b812f8 · outbound

This paper cites Gaussian approximations and multiplier bootstrap for maxima of sums of high-dimensiona l random vectors.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Gaussian approximations and multiplier bootstrap for maxima of sums of high-dimensiona l random vectors

Reference 17

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Observation b76437a8-ebb7-4ca4-93bf-df914cdd6c44 · outbound

This paper cites Central limit theorems and boot- strap in high dimensions.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Central limit theorems and boot- strap in high dimensions

Reference 18

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Observation 533e8c3d-38fa-4fb6-8c74-a63e50d7bf0e · outbound

This paper cites Strong consistency and other properti es of the spectral variance estimator.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Strong consistency and other properti es of the spectral variance estimator

Reference 19

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Observation 72f5e80d-e175-415e-b36c-ad76c2be9aad · outbound

This paper cites The total variation distance between high-dimensional Gaussians with the same mean.

Statistical inference for Linear Stochastic Approximation with Markovian Noise The total variation distance between high-dimensional Gaussians with the same mean

Reference 20

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Observation d96a5b35-901f-4540-9fea-5dd6711aefab · outbound

This paper cites Br idging the gap between constant step size stochastic gradient descent and Markov chains.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Br idging the gap between constant step size stochastic gradient descent and Markov chains

Reference 21

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Statistical inference for Linear Stochastic Approximation with Markovian Noise Unresolved cited work

Reference 22

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Observation 7f89e58d-2170-41cd-92a4-1aec80313db9 · outbound

This paper cites Finite-time high- probability bounds for Polyak–Ruppert averaged iterates o f linear stochastic approximation.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Finite-time high- probability bounds for Polyak–Ruppert averaged iterates o f linear stochastic approximation

Reference 23

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Observation 8c0f0adb-b978-46fd-8f40-26eb285a6b63 · outbound

This paper cites Tight high probability bounds for linear stochastic ap proximation with ﬁxed stepsize.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Tight high probability bounds for linear stochastic ap proximation with ﬁxed stepsize

Reference 24

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Observation b6ecaff4-1588-42f3-aa35-2c71cf9f0933 · outbound

This paper cites Rosenthal-type inequalities for linear statistics of mark ov chains.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Rosenthal-type inequalities for linear statistics of mark ov chains

Reference 25

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Observation 0d8b45f6-6ac9-431e-a8b1-70f5bb5a3c08 · outbound

This paper cites On the stability of random matrix product with markovian noise: Ap plication to linear stochastic ap- proximation and td learning.

Statistical inference for Linear Stochastic Approximation with Markovian Noise On the stability of random matrix product with markovian noise: Ap plication to linear stochastic ap- proximation and td learning

Reference 26

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Observation d6dd230d-c982-4984-a2b1-e4ea86d7c91d · outbound

This paper cites Bootstrap methods: another look at the j ackknife.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Bootstrap methods: another look at the j ackknife

Reference 27

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Observation 1a15dad7-95cd-4989-b3af-eb4a59586929 · outbound

This paper cites Exact rates of convergence in some marting ale central limit theorems.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Exact rates of convergence in some marting ale central limit theorems

Reference 28

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Observation 28defdf5-f323-4f45-9401-0000900a79c7 · outbound

This paper cites Online bootstrap con ﬁdence intervals for the stochastic gradient descent estimator.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Online bootstrap con ﬁdence intervals for the stochastic gradient descent estimator

Reference 29

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Observation a2b75984-f0c3-48bc-aa10-fdb442b99f31 · outbound

This paper cites Flegal and Galin L.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Flegal and Galin L

Reference 30

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Statistical inference for Linear Stochastic Approximation with Markovian Noise Unresolved cited work

Reference 31

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Observation 6be1576a-3ba8-454f-b461-ed462d2f80f8 · outbound

This paper cites Neue herleitung und explizite restab schätzung der riemann-siegel-formel.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Neue herleitung und explizite restab schätzung der riemann-siegel-formel

Reference 32

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Observation 9a10b5b2-9787-478a-aba8-89276a4ee0da · outbound

This paper cites Off-policy lear ning with eligibility traces: a survey.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Off-policy lear ning with eligibility traces: a survey

Reference 33

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Observation a83abfd8-c2e9-448c-90d5-5a2058bd0c33 · outbound

This paper cites Matrix concentration for products.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Matrix concentration for products

Reference 34

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Observation d844c1c5-b4c2-4ccb-ae1a-f2481809b457 · outbound

This paper cites CryptSan: Leveraging ARM Pointer Authentication for Memory Safety in C/C++.

Statistical inference for Linear Stochastic Approximation with Markovian Noise CryptSan: Leveraging ARM Pointer Authentication for Memory Safety in C/C++

Reference 35

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Observation 1476cd96-9e0a-43ff-9554-c3967f5e728f · outbound

This paper cites Effective Berry-Esseen and concent ration bounds for Markov chains with a spectral gap.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Effective Berry-Esseen and concent ration bounds for Markov chains with a spectral gap

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:50.466287Z

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Observation 2a4e020d-7d6e-4386-937d-9a5a093c901c · outbound

This paper cites Actor-critic algorit hms.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Actor-critic algorit hms

Reference 37

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Observation 89b3a801-2de7-4b83-bcb6-9e2e29bf7737 · outbound

This paper cites The jackknife and the bootstrap for gener al stationary observations.

Statistical inference for Linear Stochastic Approximation with Markovian Noise The jackknife and the bootstrap for gener al stationary observations

Reference 38

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Observation 5aa8b8cc-bfd4-4cc4-bc09-271d1abbc89f · outbound

This paper cites Stochastic approximation and recursive algorithms and applications, volume 35.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Stochastic approximation and recursive algorithms and applications, volume 35

Reference 39

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Statistical inference for Linear Stochastic Approximation with Markovian Noise Unresolved cited work

Reference 40

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Observation 5121255c-8f41-4582-b762-d155a0e2096f · outbound

This paper cites Online Statistical Inference for Nonlinear Stochastic Approximation with Markovian Data.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Online Statistical Inference for Nonlinear Stochastic Approximation with Markovian Data

Reference 41

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Observation de6077eb-4d1c-46c4-9d35-ff40024ea36c · outbound

This paper cites A statistical analysis of Polyak-Ruppert averaged Q-learning.

Statistical inference for Linear Stochastic Approximation with Markovian Noise A statistical analysis of Polyak-Ruppert averaged Q-learning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:49.905945Z

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Observation 0f2e42a7-0294-48f0-b366-5045c701b96e · outbound

This paper cites Statistical infe rence with Stochastic Gradient Meth- ods under φ-mixing Data.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Statistical infe rence with Stochastic Gradient Meth- ods under φ-mixing Data

Reference 43

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Observation cf9369ea-282e-4b67-8f66-302d80f414c2 · outbound

This paper cites Multiplier subsample bootstr ap for statistics of time series.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Multiplier subsample bootstr ap for statistics of time series

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:49.756271Z

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Observation 6ef48a35-ba5f-4d98-b8b1-b001b50dcbf9 · outbound

This paper cites Exact converge nce rates in the central limit theorem for a class of martingales.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Exact converge nce rates in the central limit theorem for a class of martingales

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:49.597707Z

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Observation 78bf4a24-c31f-4dba-8767-dfb5c1f813e0 · outbound

This paper cites Overlapping batch m eans: Something for nothing? Technical report, Institute of Electrical and Electronics Engineers (IEEE), 1984.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Overlapping batch m eans: Something for nothing? Technical report, Institute of Electrical and Electronics Engineers (IEEE), 1984

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:49.455286Z

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Observation ff875aad-63af-452f-8a96-2418bab11270 · outbound

This paper cites Conver gence rate and averaging of nonlin- ear two-time-scale stochastic approximation algorithms.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Conver gence rate and averaging of nonlin- ear two-time-scale stochastic approximation algorithms

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:49.312089Z

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Observation a3395065-44e1-46d6-bc54-a76ccb9c9a92 · outbound

This paper cites On linear stochastic approximation: Fine-grained polyak- ruppert and non-asymptotic concen- tration.

Statistical inference for Linear Stochastic Approximation with Markovian Noise On linear stochastic approximation: Fine-grained polyak- ruppert and non-asymptotic concen- tration

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:49.142009Z

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Observation fbbb0398-fcbe-47ca-91c9-33a2b7423603 · outbound

This paper cites Optimal and instance-dependent guarantees for Markovian linear stochastic approximation.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Optimal and instance-dependent guarantees for Markovian linear stochastic approximation

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:29:41.556768Z

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Observation de543676-08ac-4755-b954-d4badd180ef3 · outbound

This paper cites Non-asymptotic analys is of stochastic approximation algo- rithms for machine learning.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Non-asymptotic analys is of stochastic approximation algo- rithms for machine learning

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:48.978889Z

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Observation d1cfc709-a2cd-4fb6-8d01-123d57883baf · outbound

This paper cites A note on concentration inequalities for the overlapped batch mean variance estimators for Markov chains.

Statistical inference for Linear Stochastic Approximation with Markovian Noise A note on concentration inequalities for the overlapped batch mean variance estimators for Markov chains

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:29:41.389262Z

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Observation 04e5ff78-fe04-4bf5-8edd-72a224316c76 · outbound

This paper cites Bootstrap conﬁdence sets for spectral projectors of sample covariance.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Bootstrap conﬁdence sets for spectral projectors of sample covariance

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:48.582200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7265cfab-3fa2-4961-b070-b713a97ddc23 · outbound

This paper cites Robust stochas- tic approximation approach to stochastic programming.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Robust stochas- tic approximation approach to stochastic programming

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:48.401445Z

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This paper cites Osekowski.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Osekowski

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:48.207163Z

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This paper cites Finite time analysis of temporal difference learning with linear function approxi mation: Tail averaging and regulari- sation.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Finite time analysis of temporal difference learning with linear function approxi mation: Tail averaging and regulari- sation

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:47.848598Z

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This paper cites Concentration inequalities for Markov chains by Marton couplings and spectral methods.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Concentration inequalities for Markov chains by Marton couplings and spectral methods

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:47.720285Z

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This paper cites an unresolved cited work.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:29:47.599208Z

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This paper cites Optimum Bounds for the Distributions of Martingales in Banach Spaces.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Optimum Bounds for the Distributions of Martingales in Banach Spaces

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:47.484119Z

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This paper cites Acceleration of s tochastic approximation by averaging.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Acceleration of s tochastic approximation by averaging

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:47.348984Z

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This paper cites Making gradient descent optimal for strongly convex stochastic optimization.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Making gradient descent optimal for strongly convex stochastic optimization

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:47.164468Z

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This paper cites Online bootstrap inference for policy evaluation in reinforcement learning.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Online bootstrap inference for policy evaluation in reinforcement learning

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:47.003482Z

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Statistical inference for Linear Stochastic Approximation with Markovian Noise Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:29:46.802772Z

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This paper cites Rosenthal.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Rosenthal

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:46.618537Z

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Observation 57ff8020-e00c-4a3e-9ed2-971d566c77ae · outbound

This paper cites Fundamentals of Stein’s method.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Fundamentals of Stein’s method

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:46.474870Z

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This paper cites Online covariance estimation for stochastic gradient descent under Markovian sampling.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Online covariance estimation for stochastic gradient descent under Markovian sampling

Reference 65

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This paper cites The bayesian bootstrap.

Statistical inference for Linear Stochastic Approximation with Markovian Noise The bayesian bootstrap

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:46.305862Z

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This paper cites Efﬁcient estimations from a slowly conv ergent robbins-monro process.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Efﬁcient estimations from a slowly conv ergent robbins-monro process

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:46.124196Z

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Observation bbdc196b-8a92-450a-a77b-a8eae8ff3849 · outbound

This paper cites On quantitative bounds in the mean marti ngale central limit theorem.

Statistical inference for Linear Stochastic Approximation with Markovian Noise On quantitative bounds in the mean marti ngale central limit theorem

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:45.944041Z

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Observation 2c5ff85c-09fe-4d77-a69a-0ef3b3a8fcd8 · outbound

This paper cites Gaussian Approximation and Multiplier Bootstrap for P olyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Gaussian Approximation and Multiplier Bootstrap for P olyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:45.747931Z

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Observation c369e3b3-85ce-4865-80d3-7619e4ebbc0c · outbound

This paper cites Improved High- Probability Bounds for the Temporal Difference Learning Al gorithm via Exponential Stabil- ity.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Improved High- Probability Bounds for the Temporal Difference Learning Al gorithm via Exponential Stabil- ity

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:45.537962Z

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This paper cites Berry–Esseen bounds f or multivariate nonlinear statis- tics with applications to M-estimators and stochastic grad ient descent algorithms.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Berry–Esseen bounds f or multivariate nonlinear statis- tics with applications to M-estimators and stochastic grad ient descent algorithms

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:45.188057Z

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Observation 4885cd77-d9f5-4d4c-9d22-ed286aa0ce95 · outbound

This paper cites an unresolved cited work.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:29:48.013956Z

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This paper cites Bootstrap conﬁde nce sets under model misspeciﬁca- tion.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Bootstrap conﬁde nce sets under model misspeciﬁca- tion

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:45.058405Z

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Observation f1cd4284-90a0-41ba-af8f-8a6a052be8f9 · outbound

This paper cites Gaussian Approximation and Multiplier Bootstrap for Stochastic Gradient Descent.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Gaussian Approximation and Multiplier Bootstrap for Stochastic Gradient Descent

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T14:29:38.017350Z

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This paper cites Srikant and L.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Srikant and L

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:44.831105Z

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Observation ea381148-26b3-4ef3-a935-59b86c46907b · outbound

This paper cites Rates of Convergence in the Central Limit The orem for Markov Chains, with an Application to TD Learning.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Rates of Convergence in the Central Limit The orem for Markov Chains, with an Application to TD Learning

Reference 76

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Statistical inference for Linear Stochastic Approximation with Markovian Noise Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:29:44.361337Z

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Observation cd93ac2d-fda5-4b94-a92d-e4b251647005 · outbound

This paper cites S Sutton.

Statistical inference for Linear Stochastic Approximation with Markovian Noise S Sutton

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:44.598521Z

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This paper cites Probability in High Dimension.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Probability in High Dimension

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:43.883432Z

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Observation 54dcbc0d-c7e8-4a02-b681-c917c1efa5b2 · outbound

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Statistical inference for Linear Stochastic Approximation with Markovian Noise Unresolved cited work

Reference 80

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:29:44.165653Z

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This paper cites Watkins and P.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Watkins and P

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:43.487148Z

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Observation 473bb23d-3306-404d-beb0-5cd624ebbcb3 · outbound

This paper cites Online Covariance Ma trix Estimation in Stochastic Gradient Descent.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Online Covariance Ma trix Estimation in Stochastic Gradient Descent

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:43.676028Z

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Observation 8a321498-56ae-4e11-9534-dde4e516619c · outbound

This paper cites Statistical Inference for Policy Evaluation with Temporal Difference Learning.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Statistical Inference for Policy Evaluation with Temporal Difference Learning

Reference 83

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This paper cites On the relationship between batch means, overlapping means and spectral estimation.

Statistical inference for Linear Stochastic Approximation with Markovian Noise On the relationship between batch means, overlapping means and spectral estimation

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:43.259939Z

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Observation 333249b1-6da7-4c22-b243-fe87884fe1bf · outbound

This paper cites Rates of convergence for empirical processes of stationary mixing sequences.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Rates of convergence for empirical processes of stationary mixing sequences

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:43.116292Z

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Observation c8d03425-d406-4ddd-9edc-d89edcab8f00 · outbound

This paper cites Uncertainty quantification for Markov chain induced martingales with application to temporal difference learning.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Uncertainty quantification for Markov chain induced martingales with application to temporal difference learning

Reference 86

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This paper cites Online Bootstrap Inference with Nonconvex Stochastic Gradient Descent Estimator.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Online Bootstrap Inference with Nonconvex Stochastic Gradient Descent Estimator

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-07T14:29:39.913050Z

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Observation ad6b0d3d-2c4d-49f5-89b4-3598d9b089b3 · outbound

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Statistical inference for Linear Stochastic Approximation with Markovian Noise Unresolved cited work

Reference 89

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:29:42.929837Z

Source-reported events for the cited work

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Observation abec54f0-256f-41de-b100-8b270a1fe926 · outbound

This paper cites an unresolved cited work.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Unresolved cited work

Reference 90

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:29:42.814622Z

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Observation b7261cd0-47af-43cd-b261-489d50a6f9b6 · outbound

This paper cites We control β-mixing coefﬁcient via total variation distance, see [22, Theorem F.3.3].

Statistical inference for Linear Stochastic Approximation with Markovian Noise We control β-mixing coefﬁcient via total variation distance, see [22, Theorem F.3.3]

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:42.650729Z

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Observation a7061c37-82d5-42f4-8da8-e9470de9524e · outbound

This paper cites an unresolved cited work.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Unresolved cited work

Reference 92

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T14:29:42.478711Z

Source-reported events for the cited work

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Observation 0d885ba6-7ca9-4ac8-8c7c-afe655d696ec · outbound

This paper cites an unresolved cited work.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Unresolved cited work

Reference 93

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:29:42.330606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 87d7683d-bc69-47e6-ae2f-702893ada3ef · outbound

This paper cites , k} k∑ i=m+1 αi ≥ c0 2(1 − γ) ((k + k0)1−γ − (m + k0)1−γ) , Proof.

Statistical inference for Linear Stochastic Approximation with Markovian Noise , k} k∑ i=m+1 αi ≥ c0 2(1 − γ) ((k + k0)1−γ − (m + k0)1−γ) , Proof

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:42.205625Z

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Observation 508be250-7435-4fdb-bb4b-8830d7a691c0 · outbound

This paper cites an unresolved cited work.

Statistical inference for Linear Stochastic Approximation with Markovian Noise Unresolved cited work

Reference 4547

Resolution: parse uncertain; raw_fallback, observed 2026-08-07T14:29:45.333069Z

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Pith citing papers

Observation 743ec649-ab08-46ac-807f-755e006dba50 · inbound

Central Limit Theorems for Asynchronous Averaged Q-Learning cites this paper.

Central Limit Theorems for Asynchronous Averaged Q-Learning Statistical inference for Linear Stochastic Approximation with Markovian Noise

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:56:30.383561Z

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Observation 54afbaa0-dddf-49ec-ab1f-626face77ea2 · inbound

Sharp asymptotic theory for Q-learning with LDTZ learning rate and its generalization cites this paper.

Sharp asymptotic theory for Q-learning with LDTZ learning rate and its generalization Statistical inference for Linear Stochastic Approximation with Markovian Noise

Reference 54

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Gaussian Approximation for Asynchronous Q-learning cites this paper.

Gaussian Approximation for Asynchronous Q-learning Statistical inference for Linear Stochastic Approximation with Markovian Noise

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:25:59.943910Z

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Observation cfb9153a-5e37-4c0d-b15c-9219a9a409ad · inbound

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise cites this paper.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Statistical inference for Linear Stochastic Approximation with Markovian Noise

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-07-03T23:29:02.031103Z

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