Pith. sign in

Paper Citation Record · LEDGER

Reinforcement learning-assisted quantum architecture search for variational quantum algorithms

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.13754.

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

pith.paper-citation-record.v1
2402.13754 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:23:35.325845Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T11:09:46.820570Z

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 a8de295d-2f2e-448b-9a49-ef9164a55a83 · inbound

Improving thermal state preparation of Sachdev-Ye-Kitaev model with reinforcement learning on quantum hardware cites this paper.

Improving thermal state preparation of Sachdev-Ye-Kitaev model with reinforcement learning on quantum hardware Reinforcement learning-assisted quantum architecture search for variational quantum algorithms

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T18:23:35.325845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:23:35.325845Z digest=sha256:7b5d81cc654b4a2d17ccef6ef3ffec1eff1767df1d67347d4459b2a9d87f84b0

Observation ebf43966-d6c0-48c6-92d2-2c5570b6c17f · inbound

Digitized Counter-Diabatic Quantum Optimization for Bin Packing Problem cites this paper.

Digitized Counter-Diabatic Quantum Optimization for Bin Packing Problem Reinforcement learning-assisted quantum architecture search for variational quantum algorithms

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-23T02:52:26.478496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-23T02:50:45.915857Z digest=sha256:9b031cb6bb5d1690351e366c6cd1166f5335d53026ab78a16b438fcdce236d68

Observation fff7e2a2-91cc-48a9-8a8f-379f9f0fcad5 · inbound

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

Quantum Architecture Search for Solving Quantum Machine Learning Tasks Reinforcement learning-assisted quantum architecture search for variational quantum algorithms

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T16:59:46.315416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T16:59:46.315416Z digest=sha256:f058604323b4931240ebade90ee48ff8cf2780e616c8e5921265369e594fa13a

Observation b3bfaf9b-5898-4570-92a7-ade074bbe424 · inbound

Replay-buffer engineering for noise-robust quantum circuit optimization cites this paper.

Replay-buffer engineering for noise-robust quantum circuit optimization Reinforcement learning-assisted quantum architecture search for variational quantum algorithms

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:16:11.514815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-09T22:11:29.151910Z digest=sha256:71c7c268ed9f1fd98058cac2ca15abd4ae18a6fec95766f7855330ef77c9495b

Observation 72008c79-3192-49fd-a5ad-5d06d26a9798 · inbound

Self-Modulating Quantum Fast-Weight Programmers for Efficient Adaptive Sequential Learning cites this paper.

Self-Modulating Quantum Fast-Weight Programmers for Efficient Adaptive Sequential Learning Reinforcement learning-assisted quantum architecture search for variational quantum algorithms

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-04T11:09:46.822269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-26T08:09:31.308863Z digest=sha256:38b8492ef6a06811566d9b187c038a76eccf44607a1617ca662b53a9de51f366