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Paper Citation Record · LEDGER

Generative Quantum Machine Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2111.12738.

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

pith.paper-citation-record.v1
2111.12738 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T20:03:56.713488Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T12:48:11.056064Z

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 66ac62e1-66a5-40bf-a770-ea7b56d86da2 · inbound

Hardware-Aware Quantum Kernel Design Based on Graph Neural Networks cites this paper.

Hardware-Aware Quantum Kernel Design Based on Graph Neural Networks Generative Quantum Machine Learning

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:10.657197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T07:59:06.404337Z digest=sha256:1ab53840e513af395395fdd7d50d88ee583a0b9380d2eef3e6593d6469af7081

Observation c9cb1914-8ea7-4d19-8118-1c20d2c2357d · inbound

Scaling Quantum Machine Learning without Tricks: Full-Resolution and Diverse Image Generation cites this paper.

Scaling Quantum Machine Learning without Tricks: Full-Resolution and Diverse Image Generation Generative Quantum Machine Learning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-02T20:03:56.713488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:03:56.713488Z digest=sha256:9a46a99488eb1b77d71e8c3f7b3ae901403b49de26887b58cddb9b5b809d2822

Observation 22e8c1e0-e70d-47d4-98d0-2dbd1c546b87 · inbound

Quantum Convolutional Autoencoders for Reconstruction-Based Anomaly Detection cites this paper.

Quantum Convolutional Autoencoders for Reconstruction-Based Anomaly Detection Generative Quantum Machine Learning

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-03T12:48:11.057715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-03T12:40:50.724728Z digest=sha256:1536b52bfeb5ff3f05757bf0b59f7b650bf802f6c11037f98737983913da25c7