Pith. sign in

Paper Citation Record · LEDGER

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

As of 6 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 2026-08-06T06:34:29.942622+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
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:ad4a0167732b046b6971f41bdef95e4e4b7f332816c51ac4a6f75cc9ce2c9af1

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:0937cfd0e9ed372efc5a58070a0179b82c34ab29bb2f2846a8cd39df3744aeaf

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:ef998e82cc59c30a7bb86b802c9111f96928396a79b01994280085765febb511

Observation f1e5106a-cb9e-4ef1-b6ac-aefa31994a06 · 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 6

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:4c01f7e81fe2f57920efa00d2128a6827308972ab53e9b6b5602d97e2e64e4cf

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:6df62c79ef6c48b90f613af19416a68e193f1103430cb91e06ba9af6ab4e1364

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:8732b391e52baf27daee3f02789fe770340337ae8b8bd2c522bf3cf541a6bbce

Observation ba178feb-7a08-4e4e-95cd-2d9a56598ef6 · outbound

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:516c40b5dc9f993f49ce7158c5164150793e60a4b9ece8dd6bb95c6b8c0a3996

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:5a44cd66bf821eff9cc912f2a28b0fee6718dfdf05a0e54020f231f9984237cc

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:0f5702c14b56e97b9fc7dd22e7775c6c305be327cfc686643aaa62abdf68cca9

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:ab82b148d058022f0bac8486cad670ab4027ffb701428af89ff5e7b7428598ea

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:16bc1ed583ac131ede17d654a03fd26b965a5bcd84f7dd6fb34bd2c0dc112a01

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:4c3e2041468b33ee056a455eb4e6f36c2f7d01306367b4d402f995dd3416caa9

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:f3befa343cb5afa9f46bc45ccf6026b32fed163071dbae6c1e26f9a07cf640f0

Observation 39abf5c6-d820-4cf2-afb1-e7d419ae6198 · outbound

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:83e26b205b3a830141f0e435bf709d91afd4627df2e820c020c26da2c13a461a

Observation 0cbc9704-bd12-4600-8e41-958571f26ecc · 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 19

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:e829bd721a92020b4289051afd64c1dad29deacfd644017f1a82ab4e670d662f

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:6c196c48c6d8be11c42744363dfbbbd176039ee344a4fa953edcbacca647f56a

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:4977399c6dce1f8c64a45f78a352021a541a7d7dbd2f7e020b4b54bd169edc81

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:191ceadaf8818bdcee5948dac0efdfeef197d671550e820d3f7824415f911b19

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:6aa980610ba129eb09e022d4588a740d09c0d46ed549a2d17d47f759ba880cd3

Observation bd19d7e8-b701-4f54-9622-ecf15b99ea1b · 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 24

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:96c5076a129b9f961dc998f24609ae50fedde158296286252be81d9b34d2982c

Observation 55b5bbdb-4c2a-47b4-a492-07eb624156ef · outbound

This paper cites Has it Trained Yet? NeurIPS 2022 Workshop , year =.

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

Reference 25

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:6124fd11d82cd07525c2c3dff577febe910aafc54fe7f147deaa11db46c92984

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:0d9c0907c4c6d8f0bf13a6be5fd29e213c3c21e2ae23c770b9204e2773adb0fd

Observation f5521b2e-0bdd-4d2f-8109-45003cd8098c · 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 27

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:91837cb482c6403deef0ef578f91204eb8329588c8f99cc168e4592f6abf7cbd

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:a13192f1c8d5e66340b5428a0e0d06faa05a7836b3447d12566353299bd436c6

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:f95c33d638252e8b6b117bdf9c318da4f04d9ca69d7ac09b003db6cf19b7819e

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

This paper cites International Conference on Artificial Intelligence and Statistics , pages =.

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

Reference 30

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:18bf1d961f74026b717b4f952237aec09f5b9ce17b4b951932a014809b204652

Observation 6a043d24-ac13-4b4a-906d-e3d20b4a49d6 · outbound

This paper cites The Thirteenth International Conference on Learning Representations , year =.

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

Reference 31

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:3a72d17437a860b68d40f68ed208a3cd4328b0b1d6a537cf191436ee771368ea

Observation c515523d-e06f-409d-93a3-b655c0e0aa91 · outbound

This paper cites Proceedings of the 28th International Conference on Artificial Intelligence and Statistics , series =.

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:02b2be4c63ff1b26d38ee857bfde6998b3c63fc605484494b08718fa3be46047

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

This paper cites The Fourteenth International Conference on Learning Representations , year =.

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

Reference 33

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:1000574dd92489cb00a708d10e8a8201407eb95d8dd8860e62f9252be1f2d13a

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

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

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

Reference 34

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:a37acb4b08842448827b11299e4aab6357f50b4cff698a080bd4161b17025afb

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

This paper cites Stochastic modified equations for the asynchronous stochastic gradient descent.

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

Reference 35

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:0667e17de91654057c10a58e966b7787ecb3413c3b8dc233cc5fd5e122204d60

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:36e6f33a2f5911cbdbbd8f8bdbb8ca423be729afc246127c436ae03e5551b2ad

Observation 76419d0d-9cb2-425c-a23a-73c3ee5a9567 · 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 37

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:bf2154891daa322364e7d5714107f6e4066c06dd8b8708f1282a903e2467d42c

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

This paper cites M., Biggio, L., Orvieto, A., Proske, F.

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

Reference 38

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:5a4dc20b71fbc4b9462f3a1d0bc9cc14f8cabbf1658d8ad63650bd79a7bd5219

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

This paper cites M., Orvieto, A., Kersting, H., Proske, F.

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

Reference 39

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:0f2dba4e819982cec48a31add89465444a172f54cb7fa6420b1f1db69401dd71

Observation 3eee94cb-fe51-4cce-952a-012801f2ec37 · 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 40

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:913b4a082c6149eab5ed5abf820c62fd711c107cdec5b30933c980dbbaf54e86

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:2d6f1e64f3e01d376e421074980a6a55c7b8460fef2e8b21537dd2a2bc72ea5e

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:067ffe5c7f4f8face33c05d146dafdfc9004f0f1d3e24c2db55e80901569b2c0

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

Reference 43

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:a58eafaed71212bd9afa1504285291f0ce300e7314f42bbedf7f9e18a2286552

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:3c9a1ceaeea24b15f2b907bc846436f4d953306f35af48f9106451af37c3e976

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:0819ca23b4fd80bfb8d2c112d2c0529ef8ea9d95d2bb0774e776de4b39ea2f6a

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:a2a28d3d6cb8ab92e421fa715c71372bec94fe7070d5140e2de539d307affd17

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:0b07c92a7768c874c9e178374008e81beaa566c229d85eb3cba853746890a3f8

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

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-07-03T23:29:02.036146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:c4a81c7474ed4a80384c97c5982d35ebb8e7a316056da20a3d691d44b159f451

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

Reference 49

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:289d2eb1547137b1875ca42d1c9ad3aeca1baf6a3d933135d2863cf3de43810a

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

Reference 50

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:81ba9245f83669eba57967d66c8a29ef374fdd4103766f091e4f971e18e353ba

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:3fd291f19a7cea7c7946ffe37f90a4ee98bee1aef7a2a131bd49d3ae7dc04100

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:56b3693a0e53cd7bba17cef162657174c4dcce9cea01d8d0fc7e100781cd0300

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:0da057e06e8962a7555c18cd8e9ebc8dc5763d4d786917c8954e04de8157fe0b

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:7e0d4d4ea5363206fc57a249bde434b8bfed51cd931efe585b27a339a22c8a3e

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:21df1c1e8f335b79f9be8acef99549bd09e29cbaeb30b06f50973e674eeb7a76

Observation a7208b6e-09b6-4d8a-95da-0099e4c123f4 · 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 56

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:2341293caae61297d9b0cbc21f63cd18d060e1d389c970fb09e1805810153435

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:c7c5414e8be91a668087d9ab479fed65413835cde11d8e10ba400bcceada7234

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:e25ab48f36d07fa38d7a2b3c7f50e8f4d364b1efdf61d89e728870a6fd5a3043

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

Reference 59

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:f219108a834ba36f9f753767469919b825f89a230b5381f2c1d787d3d5681282

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:f5c251b485e437c77d4b3bb01dfdd0087c643edbcc45eb83042aad6e9f45b1d4

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:ac3cfd9c18ff952133039e8f81922dcb4cbbedc4ba66aab4362d342c9ea94e50

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:9e1969add10413810e45e7e259a4aa477b860c9687b1ed46ed46bcb80415520c

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:4f9c0e3171a0c1ea6da1e44773a2332bf87c38776646f446ff7aa9c874be7df2

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:6ac38170ac4a590bdffe94fe6044025589e097f22775a7db17e6528bc4132336

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:15888d58d39edcf12872c1cde691a0988c058d8bcfa4165910bced6167125b1b

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:036833e53a1d600dda6e0eac713ef16290aa2c98f8429defc2af8538755833f1

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:e92029cb6344187a508e96d88210448fbeefbe548f8fe7ba82ed92aa516c3e27

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

Resolution
unresolved
no resolver link, observed 2026-06-26T22:22:51.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T22:22:51.788055Z digest=sha256:6dde986efa860673b6022571d13b834b1625f1c889071df8bd3a4aaf159f6817

Pith citing papers

No inbound Pith citation observations are available.