Pith. sign in

Paper Citation Record · LEDGER

Quantum Reinforcement Learning for Solving a Stochastic Frozen Lake Environment and the Impact of Quantum Architecture Choices

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2212.07932.

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

pith.paper-citation-record.v1
2212.07932 v1

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 2026-08-08T21:05:12.276726Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:41:03.231657Z

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 f512103a-72ee-4892-a9c1-918f79bda482 · inbound

Benchmarking Quantum Reinforcement Learning cites this paper.

Benchmarking Quantum Reinforcement Learning Quantum Reinforcement Learning for Solving a Stochastic Frozen Lake Environment and the Impact of Quantum Architecture Choices

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-08T21:05:12.276726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:05:12.276726Z digest=sha256:3009cc1cbb31a50abc0c254e9367990ed25faf930803832f8cad25f0135f1c68

Observation 8bbf1df3-4d75-44f9-a484-2f2650150d24 · inbound

CleanQRL: Lightweight Single-file Implementations of Quantum Reinforcement Learning Algorithms cites this paper.

CleanQRL: Lightweight Single-file Implementations of Quantum Reinforcement Learning Algorithms Quantum Reinforcement Learning for Solving a Stochastic Frozen Lake Environment and the Impact of Quantum Architecture Choices

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:41:03.303645Z

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=2026-08-06T18:41:02.182611Z digest=sha256:3bc65fafd86a47403f13f5bd1c91e397a34a5de2eb94b4c582ba8f29ccf94381