Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2401.13884.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-13T10:46:25.335756Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T13:05:45.530664Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 7059be44-e7d7-47d7-b37c-ac070274758a · inbound
From Set Convergence to Pointwise Convergence: Finite-Time Guarantees for Average-Reward Q-Learning with Adaptive Stepsizes Constant Stepsize Q-learning: Distributional Convergence, Bias and Extrapolation
Reference 87
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation ea9749e5-69e4-4847-9ef0-ed364951065e · inbound
Central Limit Theorems for Asynchronous Averaged Q-Learning Constant Stepsize Q-learning: Distributional Convergence, Bias and Extrapolation
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 97155cf2-5cfc-4627-92be-fd8d4a93244e · inbound
A Minimal-Assumption Analysis of Q-Learning with Time-Varying Policies Constant Stepsize Q-learning: Distributional Convergence, Bias and Extrapolation
Reference 38
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 138a38e0-9a1b-42ef-8472-7956e3581bb7 · inbound
Wasserstein-p Central Limit Theorem Rates: From Local Dependence to Markov Chains Constant Stepsize Q-learning: Distributional Convergence, Bias and Extrapolation
Reference 76
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 82258d0c-a47d-4238-99e1-9b2d32e949e7 · inbound
Sharp asymptotic theory for Q-learning with LDTZ learning rate and its generalization Constant Stepsize Q-learning: Distributional Convergence, Bias and Extrapolation
Reference 75
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 93b7c764-836c-4c16-80d8-d05af1def6a2 · inbound
Shuffling the Data, Stretching the Step-size: Sharper Bias in constant step-size SGD Constant Stepsize Q-learning: Distributional Convergence, Bias and Extrapolation
Reference 141
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 7d748d63-82fb-49f6-8a9b-afccb39e68aa · inbound
Revisiting the Constant Stepsize Stochastic Approximation with Decision-Dependent Markovian Noise Constant Stepsize Q-learning: Distributional Convergence, Bias and Extrapolation
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation cca55c52-38fc-4b2f-8279-dea5dc13086f · inbound
Elephant random walk with attributed steps and extractions of random sizes Constant Stepsize Q-learning: Distributional Convergence, Bias and Extrapolation
Reference 60
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation a9ac911b-bb77-45f5-85b8-1191a1b91f4c · inbound
Gaussian Approximation and Multiplier Bootstrap for Federated Linear Stochastic Approximation Constant Stepsize Q-learning: Distributional Convergence, Bias and Extrapolation
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 429ac6e2-176d-4cb7-80e2-78b514eb8ed3 · inbound
SGD at the Edge of Stability: Stochastic Stabilization with Large Learning Rates Constant Stepsize Q-learning: Distributional Convergence, Bias and Extrapolation
Reference 221
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.