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Paper Citation Record · LEDGER

Decoupled Exploration and Exploitation Policies for Sample-Efficient Reinforcement Learning

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2101.09458.

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

pith.paper-citation-record.v1
2101.09458 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:15:07.599131Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T20:18:58.690637Z

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 8bd19351-5d4d-4e01-8c62-7f86af3a70d8 · inbound

Hyper: Hyperparameter Robust Efficient Exploration in Reinforcement Learning cites this paper.

Hyper: Hyperparameter Robust Efficient Exploration in Reinforcement Learning Decoupled Exploration and Exploitation Policies for Sample-Efficient Reinforcement Learning

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T22:15:07.599131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:15:07.599131Z digest=sha256:ef82aee7311f52ce51f2fa3b4304cbd77a7dbe3540cb9c0ffb10443744ec8b71

Observation 96f40b38-d6bf-4eba-a551-55f232d75e5b · inbound

Disentangling Exploration of Large Language Models by Optimal Exploitation cites this paper.

Disentangling Exploration of Large Language Models by Optimal Exploitation Decoupled Exploration and Exploitation Policies for Sample-Efficient Reinforcement Learning

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:18:58.698860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:18:58.488803Z digest=sha256:146e30474a8b0a9a33903b4f72fff2614b1e8dc0d201fd9363196334df2c29da