Paper Citation Record · LEDGER

Curriculum reinforcement learning for quantum architecture search under hardware errors

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2402.03500.

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

pith.paper-citation-record.v1
2402.03500 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:17:07.699991Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T10:33:12.973517Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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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 5e72aa25-64bf-4acd-bf6b-cd0e43f49c18 · inbound

Machine Learning for Ground State Preparation via Measurement and Feedback cites this paper.

Machine Learning for Ground State Preparation via Measurement and Feedback Curriculum reinforcement learning for quantum architecture search under hardware errors

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-08T15:17:07.699991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd99f5f3-8c12-48ad-a68e-fa1202e86271 · inbound

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

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation Curriculum reinforcement learning for quantum architecture search under hardware errors

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:34.235091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e068ab0c-4539-45e3-b448-7b30c1c0cca6 · inbound

Quantum Architecture Search for Solving Quantum Machine Learning Tasks cites this paper.

Quantum Architecture Search for Solving Quantum Machine Learning Tasks Curriculum reinforcement learning for quantum architecture search under hardware errors

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T16:59:46.338608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46ad0da9-307f-4832-b588-fac0d6b88d0c · inbound

Generative Quantum-inspired Kolmogorov-Arnold Eigensolver cites this paper.

Generative Quantum-inspired Kolmogorov-Arnold Eigensolver Curriculum reinforcement learning for quantum architecture search under hardware errors

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:40:43.350897Z

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 5acf08ee-dfba-4c02-904b-4c1fdbc5ea82 · inbound

Gated QKAN-FWP: Scalable Quantum-inspired Sequence Learning cites this paper.

Gated QKAN-FWP: Scalable Quantum-inspired Sequence Learning Curriculum reinforcement learning for quantum architecture search under hardware errors

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:00:56.357445Z

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 3226f9a8-4de9-4ab2-87b9-761fafd28cec · inbound

Discovering Data Encoding Strategies for Quantum-Classical Neural Networks Using Monte Carlo Tree Search cites this paper.

Discovering Data Encoding Strategies for Quantum-Classical Neural Networks Using Monte Carlo Tree Search Curriculum reinforcement learning for quantum architecture search under hardware errors

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:33:12.975409Z

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 00f4ea1c-2e3b-4586-ae47-0dc6073ce8a8 · inbound

DreamQAS: Learning a Decision-Useful World Model for VQE-Efficient Quantum Architecture Search cites this paper.

DreamQAS: Learning a Decision-Useful World Model for VQE-Efficient Quantum Architecture Search Curriculum reinforcement learning for quantum architecture search under hardware errors

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T06:05:08.978651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.