Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Variational Quantum Circuits for Deep 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:1907.00397.
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 2026-08-06T05:31:47.956954Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T06:22:07.593040Z
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 46bc51f1-e172-4a36-bcf5-43cd47aa0078 · inbound
Quantum Machine Learning for State Tomography Using Classical Data cites this paper.
Quantum Machine Learning for State Tomography Using Classical Data Variational Quantum Circuits for Deep Reinforcement Learning
Reference 83
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T06:22:07.595610Z
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 ae3d7a00-d1a2-428c-b124-0b6fff9711f8 · inbound
First Experience with Real-Time Control Using Simulated VQC-Based Quantum Policies cites this paper.
First Experience with Real-Time Control Using Simulated VQC-Based Quantum Policies Variational Quantum Circuits for Deep Reinforcement Learning
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:31:47.956954Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c0837cd-5829-451a-8889-da096c75ff1c · inbound
HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits cites this paper.
HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits Variational Quantum Circuits for Deep Reinforcement Learning
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:33:21.360463Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.