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Paper Citation Record · LEDGER

Reinforcement learning for optimization of variational quantum circuit architectures

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2103.16089.

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

pith.paper-citation-record.v1
2103.16089 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:51:35.428551Z

measured 1 of 1 external citation measurements

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

54
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 b979d731-5329-420b-977d-611dff7cc9ae · inbound

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation cites this paper.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation Reinforcement learning for optimization of variational quantum circuit architectures

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T13:51:35.428551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:51:35.428551Z digest=sha256:ac01294665c3962722337a469d2a0425b04fbabbffb9e9f9d34ed7387089c000

Observation b86c8854-5b70-46ba-80e6-9ce06910c8aa · inbound

Synthesis of discrete-continuous quantum circuits with multimodal diffusion models cites this paper.

Synthesis of discrete-continuous quantum circuits with multimodal diffusion models Reinforcement learning for optimization of variational quantum circuit architectures

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:42:15.834397Z

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.

source=pdf_text observed=2026-05-19T11:39:14.375702Z digest=sha256:f9d85f57564a70311a65a4dc35c853d746dad7c591686ed66e923b5548b40d0d