Pith. sign in

Paper Citation Record · LEDGER

Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2108.06849.

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

pith.paper-citation-record.v1
2108.06849 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:53:52.578398Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T00:16:15.729268Z

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 b4e10ee0-e0e3-4d41-8038-95f613c814ab · inbound

PPO-Q: Proximal Policy Optimization with Parametrized Quantum Policies or Values cites this paper.

PPO-Q: Proximal Policy Optimization with Parametrized Quantum Policies or Values Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-10T20:53:52.578398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:53:52.578398Z digest=sha256:ea7b15c3a4a2de25490cc07bc117a37bb9bee3b58002af869af94cea00d36b58

Observation 125f0568-148d-44b2-a5f4-5e471d109d9e · inbound

Comprehensive Survey of QML: From Data Analysis to Algorithmic Advancements cites this paper.

Comprehensive Survey of QML: From Data Analysis to Algorithmic Advancements Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation

Reference 214

Resolution
verified exact
local_arxiv, observed 2026-08-10T19:58:52.539063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T19:58:52.101029Z digest=sha256:5f502594bc181ce5e0d7a9b0c6fe3228ee6409d14b6a4afdc7bf3a30c7cbc800