Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Parametrized quantum policies for reinforcement learning
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2103.05577.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:45:13.857088Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
10
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 5a402811-6848-49d1-a67a-72f927e42cd2 · inbound
Experimental investigation of single qubit quantum classifier with small number of samples cites this paper.
Experimental investigation of single qubit quantum classifier with small number of samples Parametrized quantum policies for reinforcement learning
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:45:13.857088Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63f8557a-7c66-4b58-8934-31fb37386123 · inbound
Enhanced Reinforcement Learning-based Process Synthesis via Quantum Computing cites this paper.
Enhanced Reinforcement Learning-based Process Synthesis via Quantum Computing Parametrized quantum policies for reinforcement learning
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T04:33:57.729186Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 39d264c5-fb7a-4a2b-beee-a6eba9300569 · inbound
QnRL: Quantum-Native Reinforcement Learning cites this paper.
QnRL: Quantum-Native Reinforcement Learning Parametrized quantum policies for reinforcement learning
Reference 41
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-27T20:31:14.524787Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.