Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 3 inbound Pith citation observations for arXiv:2506.01052.

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

pith.paper-citation-record.v1
2506.01052 v3

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:03:21.469609Z

measured 24 of 24 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T23:29:02.034641Z

Reference resolution

21 of 21 outbound references displayed

verified exact0
verified fuzzy15
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1d5643d9-2025-4b22-9964-92ad4c933866 · outbound

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

A Robust $\widetilde{\mathcal{O}}(1/\sqrt{T})$ Rate for Unprojected TD Learning with Linear Function Approximation A finite time analysis of temporal difference learning with linear function approximation

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:27.410486Z

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.

Observation ec333438-c1ed-4c55-b275-bc94098c4c92 · outbound

This paper cites Deepdriving: Learning affordance for direct perception in autonomous driving.

A Robust $\widetilde{\mathcal{O}}(1/\sqrt{T})$ Rate for Unprojected TD Learning with Linear Function Approximation Deepdriving: Learning affordance for direct perception in autonomous driving

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:26.917892Z

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.

Observation 7bd7d890-9da1-41fa-85d6-530cb310fb9b · outbound

This paper cites Cutkosky and Francesco Orabona.

A Robust $\widetilde{\mathcal{O}}(1/\sqrt{T})$ Rate for Unprojected TD Learning with Linear Function Approximation Cutkosky and Francesco Orabona

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:26.420242Z

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.

Observation fb67af19-7fe8-4d7d-9fec-36f5bb844bc7 · outbound

This paper cites Finite sample analysis of two-timescale stochastic approximation with applications to reinforcement learning.

A Robust $\widetilde{\mathcal{O}}(1/\sqrt{T})$ Rate for Unprojected TD Learning with Linear Function Approximation Finite sample analysis of two-timescale stochastic approximation with applications to reinforcement learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:26.041499Z

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.

Observation 9cb3a3f7-445c-465b-8da7-cf2debe6104b · outbound

This paper cites Logarithmic Sobolev inequalities for finite Markov chains.

A Robust $\widetilde{\mathcal{O}}(1/\sqrt{T})$ Rate for Unprojected TD Learning with Linear Function Approximation Logarithmic Sobolev inequalities for finite Markov chains

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:25.685916Z

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.

Observation d564c3d4-6ac3-42a7-8cd8-2e3b0f6a4abb · outbound

This paper cites Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates.

A Robust $\widetilde{\mathcal{O}}(1/\sqrt{T})$ Rate for Unprojected TD Learning with Linear Function Approximation Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:25.301077Z

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.

Observation 471abd51-65e4-4fd7-bbfe-277c76423a81 · outbound

This paper cites DoG is SGD 's best friend: A parameter-free dynamic step size schedule.

A Robust $\widetilde{\mathcal{O}}(1/\sqrt{T})$ Rate for Unprojected TD Learning with Linear Function Approximation DoG is SGD 's best friend: A parameter-free dynamic step size schedule

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:24.909078Z

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.

Observation ff5df0d8-eb78-42cc-8c04-56e2ec90063b · outbound

This paper cites On TD (0) with function approximation: Concentration bounds and a centered variant with exponential convergence.

A Robust $\widetilde{\mathcal{O}}(1/\sqrt{T})$ Rate for Unprojected TD Learning with Linear Function Approximation On TD (0) with function approximation: Concentration bounds and a centered variant with exponential convergence

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:24.580141Z

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.

Observation 47003276-022e-4df4-808f-7b7d96485781 · outbound

This paper cites Stochastic approximation: a survey.

A Robust $\widetilde{\mathcal{O}}(1/\sqrt{T})$ Rate for Unprojected TD Learning with Linear Function Approximation Stochastic approximation: a survey

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:24.223236Z

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.

Observation 1c95acc9-e3c2-4b24-932a-9deb21d9f9ad · outbound

This paper cites Linear stochastic approximation: How far does constant step-size and iterate averaging go? In International conference on artificial intelligence and statistics, pages 1347--1355.

A Robust $\widetilde{\mathcal{O}}(1/\sqrt{T})$ Rate for Unprojected TD Learning with Linear Function Approximation Linear stochastic approximation: How far does constant step-size and iterate averaging go? In International conference on artificial intelligence and statistics, pages 1347--1355

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:23.806451Z

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.

Observation 5497b0d8-739c-46cc-8cb7-49e1d57eb3c7 · outbound

This paper cites Markov chains and mixing times, volume 107.

A Robust $\widetilde{\mathcal{O}}(1/\sqrt{T})$ Rate for Unprojected TD Learning with Linear Function Approximation Markov chains and mixing times, volume 107

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:03:19.946010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01a6ae64-ac52-43fb-8979-810e7d79c305 · outbound

This paper cites Temporal difference learning as gradient splitting.

A Robust $\widetilde{\mathcal{O}}(1/\sqrt{T})$ Rate for Unprojected TD Learning with Linear Function Approximation Temporal difference learning as gradient splitting

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:23.460603Z

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.

Observation 82719736-fc3b-4a88-9abb-063adc43b8ef · outbound

This paper cites Reinforcement Learning: Foundations.

A Robust $\widetilde{\mathcal{O}}(1/\sqrt{T})$ Rate for Unprojected TD Learning with Linear Function Approximation Reinforcement Learning: Foundations

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:23.179762Z

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.

Observation 4e820a99-e309-4ebe-bf3d-7a0fce6df899 · outbound

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

A Robust $\widetilde{\mathcal{O}}(1/\sqrt{T})$ Rate for Unprojected TD Learning with Linear Function Approximation A simple finite-time analysis of TD learning with linear function approximation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:22.861122Z

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.

Observation 3856d66e-0213-4226-b285-cf6cf4cc1925 · outbound

This paper cites Approximate Temporal Difference Learning is a Gradient Descent for Reversible Policies.

A Robust $\widetilde{\mathcal{O}}(1/\sqrt{T})$ Rate for Unprojected TD Learning with Linear Function Approximation Approximate Temporal Difference Learning is a Gradient Descent for Reversible Policies

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T12:03:20.765551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0553c78a-6c65-4b45-86b8-ca08b2f7abe0 · outbound

This paper cites Parameter-free Stochastic Optimization of Variationally Coherent Functions.

A Robust $\widetilde{\mathcal{O}}(1/\sqrt{T})$ Rate for Unprojected TD Learning with Linear Function Approximation Parameter-free Stochastic Optimization of Variationally Coherent Functions

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T12:03:20.888572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64eb2c5d-7ba6-4fd2-9eb7-e224ef1934c0 · outbound

This paper cites Mastering the game of go with deep neural networks and tree search.

A Robust $\widetilde{\mathcal{O}}(1/\sqrt{T})$ Rate for Unprojected TD Learning with Linear Function Approximation Mastering the game of go with deep neural networks and tree search

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:22.625362Z

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.

Observation 59e42b4e-b53a-4c23-b908-54615f8be824 · outbound

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

A Robust $\widetilde{\mathcal{O}}(1/\sqrt{T})$ Rate for Unprojected TD Learning with Linear Function Approximation Finite-time error bounds for linear stochastic approximation and td learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:22.330205Z

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.

Observation f01bc406-cc4d-4117-9bd7-f630f9287375 · outbound

This paper cites Learning to predict by the methods of temporal differences.

A Robust $\widetilde{\mathcal{O}}(1/\sqrt{T})$ Rate for Unprojected TD Learning with Linear Function Approximation Learning to predict by the methods of temporal differences

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T12:03:21.240807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c1d018b-922a-4076-8883-a4599b8389ae · outbound

This paper cites Analysis of temporal-diffference learning with function approximation.

A Robust $\widetilde{\mathcal{O}}(1/\sqrt{T})$ Rate for Unprojected TD Learning with Linear Function Approximation Analysis of temporal-diffference learning with function approximation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T12:03:21.356132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ffd0b19-b5d0-4ba1-8a6a-ec3367bdd4dd · outbound

This paper cites an unresolved cited work.

A Robust $\widetilde{\mathcal{O}}(1/\sqrt{T})$ Rate for Unprojected TD Learning with Linear Function Approximation Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:03:21.878165Z

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.

Pith citing papers

Observation 4896404f-231f-44ae-8383-243f7c9a77c6 · inbound

Corruption-Tolerant Asynchronous Q-Learning with Near-Optimal Rates cites this paper.

Corruption-Tolerant Asynchronous Q-Learning with Near-Optimal Rates A Robust $\widetilde{\mathcal{O}}(1/\sqrt{T})$ Rate for Unprojected TD Learning with Linear Function Approximation

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-06-09T03:07:01.159921Z

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.

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

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

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.

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

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

A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise 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 2026-08-08T06:32:00.761636+00:00.