Paper Citation Record · LEDGER

The ODE Method for Asymptotic Statistics in Stochastic Approximation and Reinforcement Learning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2110.14427.

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

pith.paper-citation-record.v1
2110.14427 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:39:54.641497Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T21:27:59.819060Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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 4ce5fb79-b1f8-42f3-b960-8f01125195a1 · 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 The ODE Method for Asymptotic Statistics in Stochastic Approximation and Reinforcement Learning

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-12T16:28:45.645167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15fa846c-0a3c-459f-af48-cad4fa72b571 · inbound

Decoupled Functional Central Limit Theorems for Two-Time-Scale Stochastic Approximation cites this paper.

Decoupled Functional Central Limit Theorems for Two-Time-Scale Stochastic Approximation The ODE Method for Asymptotic Statistics in Stochastic Approximation and Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T05:56:52.541887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b66c82fa-f6d5-4c59-8a34-3e011ce8d03c · inbound

Global Convergence and Acceleration for Single Observation Gradient Free Optimization cites this paper.

Global Convergence and Acceleration for Single Observation Gradient Free Optimization The ODE Method for Asymptotic Statistics in Stochastic Approximation and Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T16:39:54.641497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 590eb00a-d3f2-47a7-868d-5e8b02abacc6 · inbound

Stability and Sensitivity Analysis of Relative Temporal-Difference Learning: Extended Version cites this paper.

Stability and Sensitivity Analysis of Relative Temporal-Difference Learning: Extended Version The ODE Method for Asymptotic Statistics in Stochastic Approximation and Reinforcement Learning

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:27:59.820703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.