Paper Citation Record · LEDGER

Hierarchical Learning for Quantum ML: Novel Training Technique for Large-Scale Variational Quantum Circuits

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2311.12929.

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

pith.paper-citation-record.v1
2311.12929 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:09:41.301817Z

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

0
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 dca0c148-787c-4f16-b2ad-850cef93a66b · inbound

Quantum Machine Learning for State Tomography Using Classical Data cites this paper.

Quantum Machine Learning for State Tomography Using Classical Data Hierarchical Learning for Quantum ML: Novel Training Technique for Large-Scale Variational Quantum Circuits

Reference 112

Resolution: verified exact; arxiv_id, observed 2026-05-19T06:22:07.574758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9627e392-cddc-4532-87fa-bf4d94fc3647 · inbound

A Method for Constructing Quasi-Random Peaked Quantum Circuits cites this paper.

A Method for Constructing Quasi-Random Peaked Quantum Circuits Hierarchical Learning for Quantum ML: Novel Training Technique for Large-Scale Variational Quantum Circuits

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:41.301817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 184b8115-e1e0-4d76-92d1-c50adcab97d2 · inbound

Qvine: Vine Structured Quantum Circuits for Loading High Dimensional Distributions cites this paper.

Qvine: Vine Structured Quantum Circuits for Loading High Dimensional Distributions Hierarchical Learning for Quantum ML: Novel Training Technique for Large-Scale Variational Quantum Circuits

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T08:41:25.614729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a647b0b0-d23e-4a34-a3ef-2cfa430c928a · inbound

Quantum Algorithm for Distributed Reduction of Entanglements (QADR): A Trainable and Simulation-Efficient QML Framework cites this paper.

Quantum Algorithm for Distributed Reduction of Entanglements (QADR): A Trainable and Simulation-Efficient QML Framework Hierarchical Learning for Quantum ML: Novel Training Technique for Large-Scale Variational Quantum Circuits

Reference 148

Resolution: verified exact; arxiv_id, observed 2026-06-28T16:52:23.849529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.