Pith. sign in

Paper Citation Record · LEDGER

The Plug-in Approach for Average-Reward and Discounted MDPs: Optimal Sample Complexity Analysis

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.07616.

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

pith.paper-citation-record.v1
2410.07616 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:45:55.311465Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:15:16.056665Z

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 368010cc-a2a8-46d9-92c0-8c2b32488ac2 · inbound

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis cites this paper.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis The Plug-in Approach for Average-Reward and Discounted MDPs: Optimal Sample Complexity Analysis

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-15T20:45:55.311465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:45:55.311465Z digest=sha256:29be9455c96033f81e03ba0f86557c337d990cbb757ae666d74e793e5fe75ef6

Observation bb27821d-687e-41a0-8bd9-b5f0d20d23e5 · inbound

Statistical and Algorithmic Foundations of Reinforcement Learning cites this paper.

Statistical and Algorithmic Foundations of Reinforcement Learning The Plug-in Approach for Average-Reward and Discounted MDPs: Optimal Sample Complexity Analysis

Reference 161

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T16:15:16.061975Z

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.

source=pdf_text observed=2026-08-06T16:15:16.024698Z digest=sha256:ef2fa27a359379f04be18202cfa9543036251b70043662787b877ff2b7694edc