Pith. sign in

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 9 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 2026-08-09T06:31:02.800959+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

Resolution
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:faf1e48a9969c9e460e7cfce016c6d0162592353abde946a4bbd0a5b5057616f

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

Resolution
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=sha256:2ca21ee1c2ea874255f87abb1d210447600ed0057b06371a114803cec1c02199

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

Resolution
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=sha256:888fb45d9f77dcd1ab7d981c16c92ff89f72fd06706fd2d587dccacacbb11389

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

Resolution
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:e6b42a7abefa79ae3d9fff4331a3127762c16e5788e09391dbc4ff63e15531b6

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

Resolution
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=sha256:4cbd73c0a40484dfd33cba5b269cc03405c1bac14a14a512d9365ab8f3db8b40

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

Resolution
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:c23af264192f12d6ab7355e263085f4482af43290dea728d88b6c02660a6adea

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T23:43:27.932309Z digest=sha256:588c7f4e7463ef23d8b9c933588b97e5c008fa3a1d3219b59ca11898dcbbda84

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

Resolution
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:fd88c2e76d46be3595b435f79553c0af8a01c078e519c873629274fd3585de53

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T23:43:27.932309Z digest=sha256:76360863a289fe5ef028f2968fa245269e6858557a5e363a8fbc78de1f27a2be

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

Resolution
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=sha256:96b4c6ebad26e9386042b3be94e50a566c42f426004f1aab4473119a56db8c42

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

Resolution
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=sha256:9b53a1e5b9e4cbabb297d4ad416ce5d16146b0bfe1e3acf2741d0d32ba89c6d8

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

Resolution
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:bb218df697f3d10001fbadcf7c0228bd226af3caab7f3da366074e90738040a6

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

Resolution
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=sha256:1345508e6f0b5e1ca967f93a290d44e948fbfe61fcce5f8d40b686053172df0b

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

Resolution
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=sha256:7e3ccfcb22525f169bdfc1bb66f7b9d71d7600d689435edd8319b383257a8548

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

Resolution
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:cf8ef40f6fcf87861f53c970db9d912f751b79c0be5204aa66b7e1345fa1e888

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

Resolution
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=sha256:2218058cf6bb35d4c5ed6f09c682f315b36bfaa4beebe857404faa49ac6800bd

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

Resolution
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:f5d39162298d61beb80c75c7dd1740661db9c34f5897f06bc24439a2f582fa9c

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

Resolution
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:d7039612e278b6a991eb3ea9c75f5fff1fc3a85c356ffd6252a7bd179b6bd4b8

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

Resolution
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:bcab36423514e33ff5c87d1e7e0f4d39de498e464c241677c54d751a797e45a1

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

Resolution
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:cc37a70172d1eea9a2bc83cced633b6139207a568371a8a193d33acf2dc32f68

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

Resolution
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=sha256:2278c81037d94dea6277d078d5a630d9bacb30873d7ef1e38b9290374f7e46ed

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T23:43:27.932309Z digest=sha256:8d1b4ab691f6279f82f59d2aff229dbfb6cc2f6967fbe7b94e6864fdcf04d506

Pith citing papers

No inbound Pith citation observations are available.