Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Revisiting Step-Size Assumptions in Stochastic Approximation
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.17834.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T16:28:45.672894Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-28T23:12:46.673258Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
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- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation a7af71e4-8914-49b6-9e05-64c45cd97d1f · inbound
Almost Sure Convergence Rates and Concentration of Stochastic Approximation and Reinforcement Learning with Markovian Noise cites this paper.
Almost Sure Convergence Rates and Concentration of Stochastic Approximation and Reinforcement Learning with Markovian Noise Revisiting Step-Size Assumptions in Stochastic Approximation
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T16:28:45.672894Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6522982-bced-4a39-996d-962f34acd418 · inbound
From Set Convergence to Pointwise Convergence: Finite-Time Guarantees for Average-Reward Q-Learning with Adaptive Stepsizes cites this paper.
From Set Convergence to Pointwise Convergence: Finite-Time Guarantees for Average-Reward Q-Learning with Adaptive Stepsizes Revisiting Step-Size Assumptions in Stochastic Approximation
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T17:35:00.851970Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 96bf6e3b-78b7-4fd3-883f-cd5ab2b39cec · inbound
Revisiting the Constant Stepsize Stochastic Approximation with Decision-Dependent Markovian Noise cites this paper.
Revisiting the Constant Stepsize Stochastic Approximation with Decision-Dependent Markovian Noise Revisiting Step-Size Assumptions in Stochastic Approximation
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:45:27.419509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ae26688b-cea6-486e-835c-34f31b766747 · inbound
Non-Asymptotic Convergence of Stochastic Iterative Algorithms: A Lyapunov Framework cites this paper.
Non-Asymptotic Convergence of Stochastic Iterative Algorithms: A Lyapunov Framework Revisiting Step-Size Assumptions in Stochastic Approximation
Reference 70
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T23:12:46.674692Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 36064249-498c-46dc-a493-c2c15296e0e9 · inbound
Self-Normalized Inference for Constant-Stepsize Temporal-Difference Learning under Markovian Sampling cites this paper.
Self-Normalized Inference for Constant-Stepsize Temporal-Difference Learning under Markovian Sampling Revisiting Step-Size Assumptions in Stochastic Approximation
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:57:06.990142Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.