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Paper Citation Record · LEDGER

REGAL: A Regularization based Algorithm for Reinforcement Learning in Weakly Communicating MDPs

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1205.2661.

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

pith.paper-citation-record.v1
1205.2661 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:45:48.381982Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T20:27:05.152416Z

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 925c887c-8363-42e3-8304-5ca275882421 · inbound

The regret lower bound for communicating Markov Decision Processes cites this paper.

The regret lower bound for communicating Markov Decision Processes REGAL: A Regularization based Algorithm for Reinforcement Learning in Weakly Communicating MDPs

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T16:45:48.381982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:45:48.381982Z digest=sha256:3f95a44a6a96b636f0fc938940123adef852870a2801341bf72a31c1d556515a

Observation c9c514a6-8f8d-4fec-a650-1e9eea0d3f66 · inbound

Concurrent Learning with Aggregated States via Randomized Least Squares Value Iteration cites this paper.

Concurrent Learning with Aggregated States via Randomized Least Squares Value Iteration REGAL: A Regularization based Algorithm for Reinforcement Learning in Weakly Communicating MDPs

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T16:18:17.362465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:18:17.362465Z digest=sha256:fba8ee816f0d98d3b68f670a892f546b5f561372ea344ca0d1b717c47d5eed83

Observation 800bfa74-f165-4f78-8453-ba96ac2d0931 · inbound

Near-Optimal Sample Complexity in Reward-Free Kernel-Based Reinforcement Learning cites this paper.

Near-Optimal Sample Complexity in Reward-Free Kernel-Based Reinforcement Learning REGAL: A Regularization based Algorithm for Reinforcement Learning in Weakly Communicating MDPs

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-08T11:58:17.064802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T11:58:17.064802Z digest=sha256:009eab1876898114beac3497cbbdca785d77b4ccad6bcc60609a9d55b132eb6c

Observation e54fec24-9f68-4cf5-aa49-5f8fe58a873c · inbound

Sharp Gap-Dependent Variance-Aware Regret Bounds for Tabular MDPs cites this paper.

Sharp Gap-Dependent Variance-Aware Regret Bounds for Tabular MDPs REGAL: A Regularization based Algorithm for Reinforcement Learning in Weakly Communicating MDPs

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T06:09:21.670031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:09:21.670031Z digest=sha256:e520838d2c084dc69516df96dc88a6d81eee0841cd7e06de9f9818651d216b5f

Observation c88f8d83-b79f-41fa-9a46-20deb7bd4c54 · inbound

Non-Stationary Restless Multi-Armed Bandits with Provable Guarantee cites this paper.

Non-Stationary Restless Multi-Armed Bandits with Provable Guarantee REGAL: A Regularization based Algorithm for Reinforcement Learning in Weakly Communicating MDPs

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:27:05.256092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:27:03.662892Z digest=sha256:c42aafffbbe1a890e06466a1caa9f7a425cfb0c505201631456232ecc2a20c22