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Paper Citation Record · LEDGER

Near-optimal Optimistic Reinforcement Learning using Empirical Bernstein Inequalities

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1905.12425.

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

pith.paper-citation-record.v1
1905.12425 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:41:52.867553Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T20:11:11.534082Z

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 10e26e9c-5901-492e-a54a-5b705351410a · inbound

Near-optimal Bayesian Solution For Unknown Discrete Markov Decision Process cites this paper.

Near-optimal Bayesian Solution For Unknown Discrete Markov Decision Process Near-optimal Optimistic Reinforcement Learning using Empirical Bernstein Inequalities

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-25T20:11:11.537485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-25T20:08:03.014744Z digest=sha256:2c05b292cc6d6a692341dae479b7a99a61fc86e30d060c0e73e0a546df999b8b

Observation 59780be3-1494-4337-9bc4-08bd81a43143 · inbound

Asymptotically optimal regret in communicating Markov decision processes cites this paper.

Asymptotically optimal regret in communicating Markov decision processes Near-optimal Optimistic Reinforcement Learning using Empirical Bernstein Inequalities

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T14:41:52.867553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:41:52.867553Z digest=sha256:d66ac587d58d4aafbb23b97cbb4da42770edbd62347d41c3474334a74d2fe978