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Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2606.18183.

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

pith.paper-citation-record.v1
2606.18183 v1

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T22:22:51.788055Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

64 of 64 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved60
  • parse uncertain0
  • malformed identifier0
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External citation measurements

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Outbound references

Observation 69b6db2a-43c8-4c20-aa17-15f87f2a7b38 · outbound

This paper cites IEEE Transactions on Automatic Control , volume=.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise IEEE Transactions on Automatic Control , volume=

Reference 1

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Observation 574225de-ef62-4304-9aea-bc32bc013f22 · outbound

This paper cites International Conference on Machine Learning (ICML) , year=.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise International Conference on Machine Learning (ICML) , year=

Reference 2

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Observation 1a9c9036-0798-4eee-920a-d2914a049214 · outbound

This paper cites Conference on Learning Theory (COLT) , year=.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Conference on Learning Theory (COLT) , year=

Reference 3

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A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Unresolved cited work

Reference 6

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Observation 62c9a6c4-467b-48ea-83b8-f81eb8d42563 · outbound

This paper cites an unresolved cited work.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Unresolved cited work

Reference 7

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Observation cc349075-77c2-4cd0-9807-000ec4834e3c · outbound

This paper cites Conference on Learning Theory (COLT) , year=.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Conference on Learning Theory (COLT) , year=

Reference 8

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This paper cites Proceedings of the 34th International Conference on Machine Learning (ICML) , series=.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Proceedings of the 34th International Conference on Machine Learning (ICML) , series=

Reference 9

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Observation 81627f9e-e681-4ea4-802c-66e10d9aea2c · outbound

This paper cites Journal of Machine Learning Research , volume=.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Journal of Machine Learning Research , volume=

Reference 10

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Observation 8555e9b7-9a7f-4bec-ba22-fda279e9fe04 · outbound

This paper cites Machine Learning , volume=.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Machine Learning , volume=

Reference 11

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Observation bf6d69f6-32e7-4cc3-9e37-c9f25f8504b4 · outbound

This paper cites Reinforcement learning:.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Reinforcement learning:

Reference 12

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Observation 110d15bd-4863-41f5-b2e3-6e2bfe2db6ab · outbound

This paper cites Mathematical Statistics and Learning , volume=.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Mathematical Statistics and Learning , volume=

Reference 15

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Observation 19cd0eac-301f-44bb-84f9-ca8bf9f2b1a2 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Advances in Neural Information Processing Systems , volume=

Reference 16

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Observation 0306d55e-11f6-493d-81d8-aa663ca77213 · outbound

This paper cites and Tweedie, Richard L.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise and Tweedie, Richard L

Reference 17

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This paper cites and Meyn, Sean P.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise and Meyn, Sean P

Reference 18

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A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Unresolved cited work

Reference 19

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Observation 30798377-f9c1-4ca6-acd2-53adebec0111 · outbound

This paper cites Journal of Machine Learning Research , volume =.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Journal of Machine Learning Research , volume =

Reference 20

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Observation 243d6639-c49d-43a4-befb-cdde4462cb56 · outbound

This paper cites Advances in Neural Information Processing Systems , year =.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Advances in Neural Information Processing Systems , year =

Reference 21

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Observation 22105864-d3f2-4e71-96ed-3351097ee51b · outbound

This paper cites Information and Inference: A Journal of the IMA , volume =.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Information and Inference: A Journal of the IMA , volume =

Reference 22

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Observation a431d92e-42fc-4992-b964-32eab9c7d216 · outbound

This paper cites Advances in Neural Information Processing Systems , year =.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Advances in Neural Information Processing Systems , year =

Reference 23

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This paper cites Advances in Neural Information Processing Systems , volume =.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Advances in Neural Information Processing Systems , volume =

Reference 24

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A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Has it Trained Yet? NeurIPS 2022 Workshop , year =

Reference 25

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Observation 6888776f-2753-45d8-8812-f50e9bb55ab5 · outbound

This paper cites Three Factors Influencing Minima in.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Three Factors Influencing Minima in

Reference 26

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A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Unresolved cited work

Reference 27

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Observation 86f1fde6-78d9-4114-acec-37263c5b3235 · outbound

This paper cites Advances in Neural Information Processing Systems , year =.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Advances in Neural Information Processing Systems , year =

Reference 28

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Observation 062bc2da-f89e-4c20-a939-9e36d48d199c · outbound

This paper cites International Conference on Machine Learning , pages =.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise International Conference on Machine Learning , pages =

Reference 29

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Observation b87ee82b-eba0-47e0-85c3-c0960754f9bd · outbound

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A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise International Conference on Artificial Intelligence and Statistics , pages =

Reference 30

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A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise The Thirteenth International Conference on Learning Representations , year =

Reference 31

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A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Proceedings of the 28th International Conference on Artificial Intelligence and Statistics , series =

Reference 32

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Observation 636eeedc-1977-4cf8-9ae7-4e23743fdea1 · outbound

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A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise The Fourteenth International Conference on Learning Representations , year =

Reference 33

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Observation 99d84b42-13db-45b6-969c-f6bc127262c5 · outbound

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A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise International Conference on Machine Learning , year =

Reference 34

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Observation 583de82d-7ef1-4418-aaa1-8c37c164c721 · outbound

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A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Stochastic modified equations for the asynchronous stochastic gradient descent

Reference 35

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Observation cecae856-2abe-47a6-9917-5a36e29b5f39 · outbound

This paper cites A finite time analysis of temporal difference learning with linear function approximation.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise A finite time analysis of temporal difference learning with linear function approximation

Reference 36

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Observation 76419d0d-9cb2-425c-a23a-73c3ee5a9567 · outbound

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A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Unresolved cited work

Reference 37

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Observation 2a89cb1b-e333-4068-8e26-735e4291127d · outbound

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A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise M., Biggio, L., Orvieto, A., Proske, F

Reference 38

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Observation 0297098a-ab19-4906-baf8-fe1bb8502929 · outbound

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A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise M., Orvieto, A., Kersting, H., Proske, F

Reference 39

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Observation 3eee94cb-fe51-4cce-952a-012801f2ec37 · outbound

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A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise M., Islamov, R., Proske, F

Reference 40

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Observation 998723bc-e7ef-4f6a-9158-4c9730ce3123 · outbound

This paper cites M., Liu, T., Islamov, R., Proske, F.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise M., Liu, T., Islamov, R., Proske, F

Reference 41

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Observation f30040f1-7c4f-440a-ab4a-9c2e8c9e9c9c · outbound

This paper cites M., Islamov, R., Proske, F.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise M., Islamov, R., Proske, F

Reference 42

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Observation 263ae714-3f0e-4098-acfd-049ae917eaca · outbound

This paper cites M., Stanghellini, A., Islamov, R., Lucchi, A., and Koloskova, A.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise M., Stanghellini, A., Islamov, R., Lucchi, A., and Koloskova, A

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Observation f8805b6e-1538-44f8-a3cd-c61f698fc1b6 · outbound

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A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Unresolved cited work

Reference 44

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Observation d639c8eb-e034-498c-a32b-06fe641662a2 · outbound

This paper cites Three factors influencing minima in SGD.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Three factors influencing minima in SGD

Reference 45

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Observation 01efe5ca-d596-4509-a573-4c38a230d172 · outbound

This paper cites and Prashanth, L.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise and Prashanth, L

Reference 46

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Observation 708a31d6-46e3-43cd-9a83-b0b184d226be · outbound

This paper cites an unresolved cited work.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Unresolved cited work

Reference 47

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Observation 0ef1ca93-3dd2-41be-8378-60cf046f8f3e · outbound

This paper cites A Robust $\widetilde{\mathcal{O}}(1/\sqrt{T})$ Rate for Unprojected TD Learning with Linear Function Approximation.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise A Robust $\widetilde{\mathcal{O}}(1/\sqrt{T})$ Rate for Unprojected TD Learning with Linear Function Approximation

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source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:1a97c69fa1c9c2df6a5457e2bbf8bd9fea161cb4c36a8cd50ccafffe6361ff8a

Observation af2d7266-dd32-4988-91eb-ab775dc011cb · outbound

This paper cites Stochastic modified equations and adaptive stochastic gradient algorithms.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Stochastic modified equations and adaptive stochastic gradient algorithms

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Observation a1b92bb1-f13f-453e-950d-38b20018d8f9 · outbound

This paper cites Stochastic modified equations and dynamics of stochastic gradient algorithms I : Mathematical foundations.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Stochastic modified equations and dynamics of stochastic gradient algorithms I : Mathematical foundations

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Observation 7f50074f-f555-4e1f-bcb0-bf71b3c05c3d · outbound

This paper cites On the validity of modeling SGD with stochastic differential equations ( SDE s).

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise On the validity of modeling SGD with stochastic differential equations ( SDE s)

Reference 51

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Observation 17dfdf5e-e3c4-4065-a560-102faec2d29a · outbound

This paper cites N., Orvieto, A., Bach, F., and Kersting, H.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise N., Orvieto, A., Bach, F., and Kersting, H

Reference 52

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source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:d4383b1fcba1a100b15d0b3c297fb7c68e48412f780c6a35b13e8bc8baeb8f91

Observation a8d97d8f-2473-4567-bbe8-a3b8521007d9 · outbound

This paper cites On the SDEs and scaling rules for adaptive gradient algorithms.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise On the SDEs and scaling rules for adaptive gradient algorithms

Reference 53

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source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:e3535f997dc4a46a2a04472c7afdabb086cac00535d89e9da86c15153111f7e9

Observation 636cf57d-e541-490d-82df-09737a55de96 · outbound

This paper cites D., and Blei, D.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise D., and Blei, D

Reference 54

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source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:b013056c03f86791e0db01526b1729f2bf072c88a848e71892dd9d3bfcaed886

Observation 2b6b7343-e45b-48dc-adf9-413b0a47432e · outbound

This paper cites an unresolved cited work.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Unresolved cited work

Reference 55

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source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:fbe61a9aca4b5d20ccb1c72337b53203c06730e662355ee6ff6d7d18894908d4

Observation a7208b6e-09b6-4d8a-95da-0099e4c123f4 · outbound

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A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Unresolved cited work

Reference 56

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source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:faae9f34ddb5dd6814772548b6218aaa2a61a85e57aa2087fdbeb4705fa38f4a

Observation 7736f2c7-b7f7-471b-bbfd-8ee5f2cdfe39 · outbound

This paper cites A Simple Finite-Time Analysis of TD Learning with Linear Function Approximation.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise A Simple Finite-Time Analysis of TD Learning with Linear Function Approximation

Reference 57

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arxiv_id, observed 2026-07-03T23:29:02.029968Z

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source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:d17725ad49df2fa27cf6f7ad6e2429f8358c9416f838c31633ca9926784e7f7f

Observation 8d3da359-e989-4c4f-a6a0-89db94759e9d · outbound

This paper cites J., Bartlett, P.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise J., Bartlett, P

Reference 58

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Observation 462caa45-6a37-4733-9079-82d0db11be7f · outbound

This paper cites Least squares regression with markovian data: Fundamental limits and algorithms.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Least squares regression with markovian data: Fundamental limits and algorithms

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source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:e1ed87c20605c562a42c87759adb0c773c20782d4e3fe4f32783726ae40a3915

Observation 5c45f09c-6612-4ab2-9df2-10ec301373bf · outbound

This paper cites and Lucchi, A.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise and Lucchi, A

Reference 60

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source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:787bb1714766b090d3ddcf71a630b83da6bde88262539d771cab28be07d6d77b

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

This paper cites Statistical inference for Linear Stochastic Approximation with Markovian Noise.

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

Reference 61

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source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:51be129f3df46c2f469e49d59bae1d547a5dae87ec2f849411c7d235caaecc57

Observation 068e8cf6-e748-4fdf-b775-56ee65b1c968 · outbound

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

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Rates of Convergence in the Central Limit Theorem for Markov Chains, with an Application to TD learning

Reference 62

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arxiv_id, observed 2026-07-03T23:29:02.033783Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:74a03925b088350899b0d8adc703d42e45587d66435a00d20e41fec1923c4239

Observation 71dc19e0-aaad-4f47-83d6-89a3c6f4fcac · outbound

This paper cites and Ying, L.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise and Ying, L

Reference 63

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source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:1472d7dad2278fe05b8b91758b53d884c4f135ba7fc03546e5f92a1b5925d41b

Observation 5707c4e9-0fb9-4ccb-9d6f-42533a4e1909 · outbound

This paper cites an unresolved cited work.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Unresolved cited work

Reference 64

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source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:8d1e90e98d9010160817a982a2678584d82993a789544a993344107ed84dce99

Observation 11c5f9cb-22aa-4bff-b60e-15a789d05ad3 · outbound

This paper cites an unresolved cited work.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Unresolved cited work

Reference 65

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source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:a7920fe07d70f75894e23b928088febfa79a0edf85a45e414c01c67479e2b99f

Observation 5d748ff8-7f74-4972-8785-0eccb52d2453 · outbound

This paper cites an unresolved cited work.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Unresolved cited work

Reference 66

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source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:647c54e6d1c65a7e0b930339ffe6c9b452222066a4a120bc333833e06625e087

Observation 18ebc90b-d4a3-41ab-bf06-ffedc73fc56b · outbound

This paper cites N., Orvieto, A., and Kersting, H.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise N., Orvieto, A., and Kersting, H

Reference 67

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source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:74a2c8e24f36bc2bc2e1b11ca896ad74dbea91a350f2673d01985af41efea155

Observation b4ef910e-4fbd-420a-925c-b0ff2b12fa06 · outbound

This paper cites an unresolved cited work.

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise Unresolved cited work

Reference 68

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source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:202e91909008d2adac0803842343e8f23f63566a930b9dc9d1243603b6ecd85c

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