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Paper Citation Record · LEDGER

Fast and Robust Convergence Rate for TD(0) with Linear Function Approximation, Universal Learning Steps and I.I.D. Samples

As of 8 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2606.05967.

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

pith.paper-citation-record.v1
2606.05967 v2

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T23:43:27.932309Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

22 of 22 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 675cd709-6400-4971-8b3a-972db4bf64db · outbound

This paper cites Non-strongly-convex smooth stochastic approximation with convergence rate O (1/n).

Fast and Robust Convergence Rate for TD(0) with Linear Function Approximation, Universal Learning Steps and I.I.D. Samples Non-strongly-convex smooth stochastic approximation with convergence rate O (1/n)

Reference 1

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unresolved
no resolver link, observed 2026-06-27T23:43:27.932309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T23:43:27.932309Z digest=sha256:b7d844a3d214f22e86d2c63f5b115d13207f5ed1333c0f28a8534c3e62f1d3a5

Observation 1ee20919-e929-4441-b5b7-663225063695 · outbound

This paper cites A non-asymptotic analysis of non-parametric temporal-difference learning.

Fast and Robust Convergence Rate for TD(0) with Linear Function Approximation, Universal Learning Steps and I.I.D. Samples A non-asymptotic analysis of non-parametric temporal-difference learning

Reference 2

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unresolved
no resolver link, observed 2026-06-27T23:43:27.932309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T23:43:27.932309Z digest=sha256:6af1a86b05bebab5fecf706593280de6507eed998d983c329e80b77077b398ee

Observation 892db21c-2c0d-447d-a324-b5240bc3d6be · outbound

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

Fast and Robust Convergence Rate for TD(0) with Linear Function Approximation, Universal Learning Steps and I.I.D. Samples A finite time analysis of temporal difference learning with linear function approximation

Reference 3

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unresolved
no resolver link, observed 2026-06-27T23:43:27.932309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T23:43:27.932309Z digest=sha256:9dffed99bab6aefa5a244c17952f17a29da3196a24718e833fa2c4aa748807c2

Observation 2ef4255f-303c-495b-9ee4-4afb88c0c9ec · outbound

This paper cites Lee, and Zhaoran Wang.

Fast and Robust Convergence Rate for TD(0) with Linear Function Approximation, Universal Learning Steps and I.I.D. Samples Lee, and Zhaoran Wang

Reference 4

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unresolved
no resolver link, observed 2026-06-27T23:43:27.932309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T23:43:27.932309Z digest=sha256:95debef82e7a31aed6d593666f9f4b6762fe9888716cac6d861ace8ab865c690

Observation 37e5917f-b1b2-441d-9151-8bbed8c5dcf8 · outbound

This paper cites Finite sample analyses for TD (0) with function approximation.

Fast and Robust Convergence Rate for TD(0) with Linear Function Approximation, Universal Learning Steps and I.I.D. Samples Finite sample analyses for TD (0) with function approximation

Reference 5

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unresolved
no resolver link, observed 2026-06-27T23:43:27.932309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T23:43:27.932309Z digest=sha256:91e11678e2f40940e629f9e3b9c6c43ef191d27639bc041d3f01fa33c2654c29

Observation fb22ef54-547e-403d-81a0-4ee4fb059064 · outbound

This paper cites Wainwright, and Michael I.

Fast and Robust Convergence Rate for TD(0) with Linear Function Approximation, Universal Learning Steps and I.I.D. Samples Wainwright, and Michael I

Reference 6

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unresolved
no resolver link, observed 2026-06-27T23:43:27.932309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T23:43:27.932309Z digest=sha256:584aef5560ad3470a65f82c330ef5b966c295856a1082a2d3c4ec8d74377e2d0

Observation e9f8e421-0d5d-42d1-ae99-961e5cd0d7ac · outbound

This paper cites Temporal Difference Learning with Continuous Time and State in the Stochastic Setting.

Fast and Robust Convergence Rate for TD(0) with Linear Function Approximation, Universal Learning Steps and I.I.D. Samples Temporal Difference Learning with Continuous Time and State in the Stochastic Setting

Reference 7

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verified exact
arxiv_id, observed 2026-07-02T15:37:06.774474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T23:43:27.932309Z digest=sha256:087654a562b9155fe08f9ef31bbf2da6cdb3fd241604a76603ce45ed655ce8ee

Observation fac37991-c0c9-4d3e-92ca-854fc83c4ecb · outbound

This paper cites an unresolved cited work.

Fast and Robust Convergence Rate for TD(0) with Linear Function Approximation, Universal Learning Steps and I.I.D. Samples Unresolved cited work

Reference 8

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unresolved
no resolver link, observed 2026-06-27T23:43:27.932309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T23:43:27.932309Z digest=sha256:5da8946a1780f572a53e3cbea546f1f93ee19651adcea2f35783b339efc94aed

Observation 2a3fd8fd-90a7-4e5a-903a-76b475ae6caf · outbound

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

Fast and Robust Convergence Rate for TD(0) with Linear Function Approximation, Universal Learning Steps and I.I.D. Samples A Robust $\widetilde{\mathcal{O}}(1/\sqrt{T})$ Rate for Unprojected TD Learning with Linear Function Approximation

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-07-02T15:37:06.777104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T23:43:27.932309Z digest=sha256:adc5690ad03e7ccc92861ee6006b580a7dcbe26eeb7b46bf990feac934deae31

Observation 8081098a-a275-459d-ab97-75ba51dcd067 · outbound

This paper cites Temporal difference learning as gradient splitting.

Fast and Robust Convergence Rate for TD(0) with Linear Function Approximation, Universal Learning Steps and I.I.D. Samples Temporal difference learning as gradient splitting

Reference 10

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no resolver link, observed 2026-06-27T23:43:27.932309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T23:43:27.932309Z digest=sha256:0659e66581434c06ecfab537bef69b746351b6ae19e1fd14a5ae8fb02cef0524

Observation 746f7e7d-8804-4a52-9719-6156db6e4158 · outbound

This paper cites A simple finite-time analysis of TD learning with linear function approximation.

Fast and Robust Convergence Rate for TD(0) with Linear Function Approximation, Universal Learning Steps and I.I.D. Samples A simple finite-time analysis of TD learning with linear function approximation

Reference 11

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unresolved
no resolver link, observed 2026-06-27T23:43:27.932309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T23:43:27.932309Z digest=sha256:5b88f9b7ffd758aa242850e1b54a00613fcced4ee11f0fd1916264976b213e71

Observation 4d4685c6-0ab8-4677-ab67-6c74a8aeab22 · outbound

This paper cites Robust stochastic approximation approach to stochastic programming.

Fast and Robust Convergence Rate for TD(0) with Linear Function Approximation, Universal Learning Steps and I.I.D. Samples Robust stochastic approximation approach to stochastic programming

Reference 12

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unresolved
no resolver link, observed 2026-06-27T23:43:27.932309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T23:43:27.932309Z digest=sha256:b18c098cc0da9d32602775986c32897fd80ad39104f69b7f126524274b749175

Observation 3807fd06-0e3e-488d-a12d-239d9aab4a55 · outbound

This paper cites Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation.

Fast and Robust Convergence Rate for TD(0) with Linear Function Approximation, Universal Learning Steps and I.I.D. Samples Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation

Reference 13

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unresolved
no resolver link, observed 2026-06-27T23:43:27.932309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T23:43:27.932309Z digest=sha256:b0b8858194ae481b13e20010ec64d5886b16cb9d5126c6ec8400e4254652bc25

Observation 7cde91c6-716e-4657-b562-ec5ccf5d9f1a · outbound

This paper cites A stochastic approximation method.

Fast and Robust Convergence Rate for TD(0) with Linear Function Approximation, Universal Learning Steps and I.I.D. Samples A stochastic approximation method

Reference 14

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unresolved
no resolver link, observed 2026-06-27T23:43:27.932309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T23:43:27.932309Z digest=sha256:a6281497b0f25be04c16c32c8495f5bb2496cef0a413dad2d786daa4b7eedc24

Observation 6dab5af1-4e38-443a-b9e3-21f00128ff54 · outbound

This paper cites Improved high-probability bounds for the temporal difference learning algorithm via exponential stability.

Fast and Robust Convergence Rate for TD(0) with Linear Function Approximation, Universal Learning Steps and I.I.D. Samples Improved high-probability bounds for the temporal difference learning algorithm via exponential stability

Reference 15

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unresolved
no resolver link, observed 2026-06-27T23:43:27.932309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T23:43:27.932309Z digest=sha256:271ddccd916de54b14323141004fc1f8f5d41022d17b605bf78b13c96a6b38f1

Observation 9f5a42e2-2e3f-49ee-b386-8d35f1ab109d · outbound

This paper cites Mastering the game of go without human knowledge.

Fast and Robust Convergence Rate for TD(0) with Linear Function Approximation, Universal Learning Steps and I.I.D. Samples Mastering the game of go without human knowledge

Reference 16

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unresolved
no resolver link, observed 2026-06-27T23:43:27.932309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T23:43:27.932309Z digest=sha256:f9326c07337f05c1296db5a33514b5269dcb03c6b05934ab5940cc58a3d759f0

Observation cdc77db6-6623-4bd1-ae2b-879642311594 · outbound

This paper cites Finite-time error bounds for linear stochastic approximation and TD learning.

Fast and Robust Convergence Rate for TD(0) with Linear Function Approximation, Universal Learning Steps and I.I.D. Samples Finite-time error bounds for linear stochastic approximation and TD learning

Reference 17

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unresolved
no resolver link, observed 2026-06-27T23:43:27.932309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T23:43:27.932309Z digest=sha256:73f43df49d739c8dfb11bf43d659c3e1d5eb0ae7ee85cc3c2429728da25fd66c

Observation d6127842-dafe-4135-83bf-463a59b40ccd · outbound

This paper cites an unresolved cited work.

Fast and Robust Convergence Rate for TD(0) with Linear Function Approximation, Universal Learning Steps and I.I.D. Samples Unresolved cited work

Reference 18

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unresolved
no resolver link, observed 2026-06-27T23:43:27.932309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T23:43:27.932309Z digest=sha256:e9ca0d1664bc57c4eaafde601d319b3126ede97a79516fe84bec6843df9b1214

Observation 210654a6-75a4-40dd-a593-a0fb2b677b12 · outbound

This paper cites Sutton and Andrew G.

Fast and Robust Convergence Rate for TD(0) with Linear Function Approximation, Universal Learning Steps and I.I.D. Samples Sutton and Andrew G

Reference 19

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unresolved
no resolver link, observed 2026-06-27T23:43:27.932309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T23:43:27.932309Z digest=sha256:d18df607d639c3c794e4afbbe2c4a15fa26e83ffb6e998e68acf3101e01a87a8

Observation dba43e33-0045-4774-bbeb-cbc4e104bceb · outbound

This paper cites Elf opengo: An analysis and open reimplementation of alphazero.

Fast and Robust Convergence Rate for TD(0) with Linear Function Approximation, Universal Learning Steps and I.I.D. Samples Elf opengo: An analysis and open reimplementation of alphazero

Reference 20

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unresolved
no resolver link, observed 2026-06-27T23:43:27.932309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T23:43:27.932309Z digest=sha256:a29c8899245144729b0f5b281b04508eab3536264f22e63d62033d09a5f56851

Observation 62b63157-d4f2-4585-b5f2-a8113acdc65a · outbound

This paper cites Trefethen and Mark Embree.

Fast and Robust Convergence Rate for TD(0) with Linear Function Approximation, Universal Learning Steps and I.I.D. Samples Trefethen and Mark Embree

Reference 21

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unresolved
no resolver link, observed 2026-06-27T23:43:27.932309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T23:43:27.932309Z digest=sha256:1ad184b982124bcd937abd65ab9ce8063f143d08ae4952c43f4b372770b9374e

Observation 8b353d23-ed43-4ef3-81fb-2ef74da51374 · outbound

This paper cites Tsitsiklis and Benjamin Van Roy.

Fast and Robust Convergence Rate for TD(0) with Linear Function Approximation, Universal Learning Steps and I.I.D. Samples Tsitsiklis and Benjamin Van Roy

Reference 22

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verified exact
doi, observed 2026-06-27T23:51:25.177526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T23:43:27.932309Z digest=sha256:bb902384e941b9031c860578dce123b24a5d7c6eaf0d890b6310fcf279dd691c

Pith citing papers

No inbound Pith citation observations are available.