Paper Citation Record · LEDGER

Statistical inference for Linear Stochastic Approximation with Markovian Noise

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2505.19102.

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

pith.paper-citation-record.v1
2505.19102 v1

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 2026-08-04T06:34:03.388597+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T10:46:25.335756Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:29:02.029526Z

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 743ec649-ab08-46ac-807f-755e006dba50 · inbound

Central Limit Theorems for Asynchronous Averaged Q-Learning cites this paper.

Central Limit Theorems for Asynchronous Averaged Q-Learning Statistical inference for Linear Stochastic Approximation with Markovian Noise

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:56:30.383561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 54afbaa0-dddf-49ec-ab1f-626face77ea2 · inbound

Sharp asymptotic theory for Q-learning with LDTZ learning rate and its generalization cites this paper.

Sharp asymptotic theory for Q-learning with LDTZ learning rate and its generalization Statistical inference for Linear Stochastic Approximation with Markovian Noise

Reference 54

Resolution: unresolved; no resolver link, observed 2026-07-13T10:46:25.335756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b64ad4c-5317-43c5-ab7e-eeb96956a16b · inbound

Gaussian Approximation for Asynchronous Q-learning cites this paper.

Gaussian Approximation for Asynchronous Q-learning Statistical inference for Linear Stochastic Approximation with Markovian Noise

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:25:59.943910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cfb9153a-5e37-4c0d-b15c-9219a9a409ad · 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 Statistical inference for Linear Stochastic Approximation with Markovian Noise

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-07-03T23:29:02.031103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.