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Paper Citation Record · LEDGER

Posterior sampling for reinforcement learning: worst-case regret bounds

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1705.07041.

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

pith.paper-citation-record.v1
1705.07041 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:38:32.184591Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T22:16:42.211692Z

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 677c2e43-bf96-461f-a037-dca6b1b2a0a3 · inbound

Online MDP with Transition Prototypes: A Robust Adaptive Approach cites this paper.

Online MDP with Transition Prototypes: A Robust Adaptive Approach Posterior sampling for reinforcement learning: worst-case regret bounds

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T12:38:32.184591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:38:32.184591Z digest=sha256:e3afe856bca2d6b688953ccd2e859b6e6ee0ec782dd039f14d2c9aec1fd8ae6b

Observation 349dbb18-227f-4524-b75a-bd9eba90e993 · inbound

Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RL cites this paper.

Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RL Posterior sampling for reinforcement learning: worst-case regret bounds

Reference 2023

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:16:42.253497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T22:16:40.034564Z digest=sha256:4eead2e7c2165c9a0cb3442b3e83c3d814fb722471d64abbf32240f19de34bde