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Paper Citation Record · LEDGER

Policy Gradients using Variational Quantum Circuits

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.10591.

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

pith.paper-citation-record.v1
2203.10591 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:53:52.515515Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T06:37:38.910169Z

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 c37eb98b-2388-498a-8265-9e1838b7f408 · inbound

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search cites this paper.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Policy Gradients using Variational Quantum Circuits

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-23T06:37:38.912111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T06:36:54.317812Z digest=sha256:f4dd9209f1d894fbe8d7aa7f75f659d39bb8b04570e4e64730d9b42eadf259ac

Observation 5ed17402-1996-4a6f-a299-9a86801ec219 · 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 Policy Gradients using Variational Quantum Circuits

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T20:53:52.515515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:53:52.515515Z digest=sha256:9e6daf831b2c603ebc6a66a2b2e83cbfa319bda6698ff1b3802937b3b053842c