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Paper Citation Record · LEDGER

Nonstationary Reinforcement Learning with Linear Function Approximation

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2010.04244.

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

pith.paper-citation-record.v1
2010.04244 v3

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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:16:04.166805Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T18:58:04.060661Z

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 83804ec3-b807-4bd4-a4b8-444d4d96c63b · inbound

Sequential Change Detection for Learning in Piecewise Stationary Bandit Environments cites this paper.

Sequential Change Detection for Learning in Piecewise Stationary Bandit Environments Nonstationary Reinforcement Learning with Linear Function Approximation

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-10T18:58:04.064771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T18:58:03.905950Z digest=sha256:610fc619836c2d4ac3d8b1f392d0899e3e416595532f49d28a4da5c16f31d7ae

Observation 0f857b11-1235-487a-af37-095c7afe56d3 · inbound

Natural Policy Gradient for Average Reward Non-Stationary RL cites this paper.

Natural Policy Gradient for Average Reward Non-Stationary RL Nonstationary Reinforcement Learning with Linear Function Approximation

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-16T11:16:04.166805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:16:04.166805Z digest=sha256:e17ac5b2b2eb86b8788e8aa1b10a5041e67fa75a58fc3a4611e6b940a9575cd3