Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:03:21.469609Z
Paper Citation Record · LEDGER
A Robust $\widetilde{\mathcal{O}}(1/\sqrt{T})$ Rate for Unprojected TD Learning with Linear Function Approximation
As of 17 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T23:43:27.932309Z
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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.