Paper Citation Record · LEDGER

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation

As of 13 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2505.20863.

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

pith.paper-citation-record.v1
2505.20863 v3

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:51:37.481164Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-09T14:54:25.961118Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T16:51:05.830919Z

Reference resolution

37 of 37 outbound references displayed

verified exact4
verified fuzzy14
unresolved18
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 69a77b31-21bb-42ec-9a32-0bfea12ebdda · outbound

This paper cites Quantum circuit synthesis with diffusion models,.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation Quantum circuit synthesis with diffusion models,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:42.100404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f3e038e2-4ec7-4465-927e-813aec444099 · outbound

This paper cites Quantum computing in the nisq era and beyond,.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation Quantum computing in the nisq era and beyond,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:41.742292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 775e859c-4740-4b98-bdd2-d2e4d829cc63 · outbound

This paper cites ´Eliv´agar: Efficient quantum circuit search for classification,.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation ´Eliv´agar: Efficient quantum circuit search for classification,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:41.310722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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

This paper cites Curriculum reinforcement learning for quantum architecture search under hardware errors.

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 5f467a55-9b0e-4bce-abad-86a9cf09caaf · outbound

This paper cites Quantumnas: Noise-adaptive search for robust quantum circuits,.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation Quantumnas: Noise-adaptive search for robust quantum circuits,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:34.379219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3aa89d39-4d5e-4635-8130-3ed6265688e1 · outbound

This paper cites MoG-VQE: Multiobjective genetic variational quantum eigensolver.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation MoG-VQE: Multiobjective genetic variational quantum eigensolver

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:34.508744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6da51825-9372-44df-90f4-7e729407deea · outbound

This paper cites GA4QCO: Genetic Algorithm for Quantum Circuit Optimization.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation GA4QCO: Genetic Algorithm for Quantum Circuit Optimization

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:34.683330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf19688a-0b30-4093-b3f8-c363b58e9735 · outbound

This paper cites GASP -- A Genetic Algorithm for State Preparation.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation GASP -- A Genetic Algorithm for State Preparation

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:51:38.890197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9dcc42ea-0fd1-411d-8090-35e9d7057547 · outbound

This paper cites Quantum circuit compilation by genetic algorithm for quantum approximate optimization algorithm applied to maxcut problem,.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation Quantum circuit compilation by genetic algorithm for quantum approximate optimization algorithm applied to maxcut problem,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:41.092195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8470e612-dbae-4e7f-a1e2-694d9721e34d · outbound

This paper cites Quantum circuit structure learning,.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation Quantum circuit structure learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:40.898373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4d5d93ad-a423-4c19-85cf-aefeb6d9636a · outbound

This paper cites Quantum compiling by deep reinforcement learning,.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation Quantum compiling by deep reinforcement learning,

Reference 11

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T13:51:40.654878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b979d731-5329-420b-977d-611dff7cc9ae · outbound

This paper cites Reinforcement learning for optimization of variational quantum circuit architectures.

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.

Observation 1704f90c-2adc-4c8e-9df7-61bbdf05f0e7 · outbound

This paper cites Quantum Neural Architecture Search with Quantum Circuits Metric and Bayesian Optimization.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation Quantum Neural Architecture Search with Quantum Circuits Metric and Bayesian Optimization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:35.615681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08c56089-2de4-419e-a350-a52d56e437a0 · outbound

This paper cites An adaptive variational algorithm for exact molecular simulations on a quantum computer,.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation An adaptive variational algorithm for exact molecular simulations on a quantum computer,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:40.515932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1dbfd21e-4666-4138-b085-8b793e56f638 · outbound

This paper cites Adaptive quantum approximate op- timization algorithm for solving combinatorial problems on a quantum computer,.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation Adaptive quantum approximate op- timization algorithm for solving combinatorial problems on a quantum computer,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:40.305137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 18f13a1a-efbd-4b15-b9f8-51f77da1c6e8 · outbound

This paper cites Machine learning method for state preparation and gate synthesis on photonic quantum computers,.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation Machine learning method for state preparation and gate synthesis on photonic quantum computers,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:40.134767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 50d49ada-5f2e-40b6-8e25-16297754a59a · outbound

This paper cites Neural predictor based quantum architecture search,.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation Neural predictor based quantum architecture search,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:39.937179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 33bf9b75-e77c-422d-8791-4dcc13047045 · outbound

This paper cites Discovering Quantum Circuit Components with Program Synthesis.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation Discovering Quantum Circuit Components with Program Synthesis

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:51:38.499492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eb662906-3f98-46d8-800a-7028c45c9ebe · outbound

This paper cites Hybrid discrete-continuous compilation of trapped-ion quantum circuits with deep reinforcement learning,.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation Hybrid discrete-continuous compilation of trapped-ion quantum circuits with deep reinforcement learning,

Reference 19

Resolution: verified exact; doi, observed 2026-08-07T13:51:37.676890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 496fe272-6409-4c7f-86f6-97219e772db9 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics,.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation Deep unsupervised learning using nonequilibrium thermodynamics,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:39.776546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e774c1f0-6eec-43e2-b5f9-0cb3488b5648 · outbound

This paper cites High- resolution image synthesis with latent diffusion models,.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation High- resolution image synthesis with latent diffusion models,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:36.376405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47300e91-a773-437e-8004-77e683c21553 · outbound

This paper cites Video diffusion models,.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation Video diffusion models,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:36.458811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc7a02e7-59d4-4afa-b091-3fdfed8fa81e · outbound

This paper cites DiffWave: A Versatile Diffusion Model for Audio Synthesis.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation DiffWave: A Versatile Diffusion Model for Audio Synthesis

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:36.547628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc87bebe-456e-4ada-a14a-e96a14a02d3d · outbound

This paper cites EigenFold: Generative Protein Structure Prediction with Diffusion Models.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation EigenFold: Generative Protein Structure Prediction with Diffusion Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:36.628780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a22384e1-c0aa-4271-87e2-f47b964c3a5b · outbound

This paper cites UDiTQC: U-Net-Style Diffusion Transformer for Quantum Circuit Synthesis.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation UDiTQC: U-Net-Style Diffusion Transformer for Quantum Circuit Synthesis

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:36.702072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73c8abc0-d99c-4006-98e8-3da03e346c10 · outbound

This paper cites Prepare Ansatz for VQE with Diffusion Model.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation Prepare Ansatz for VQE with Diffusion Model

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:51:38.158762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 48e16d45-e35c-4d4f-bf57-fa005c74d5f0 · outbound

This paper cites Quantum circuit optimization with deep reinforcement learning.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation Quantum circuit optimization with deep reinforcement learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:36.887098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a8026d9-9f6f-4749-b274-e33707c15d01 · outbound

This paper cites Quantum architecture search: a survey,.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation Quantum architecture search: a survey,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:39.642316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 33d987f8-ae74-42cd-be41-b9c6cd72b69b · outbound

This paper cites Challenges for reinforcement learning in quantum circuit design,.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation Challenges for reinforcement learning in quantum circuit design,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:37.056753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce8d4026-a515-4e87-a866-781fbc02dede · outbound

This paper cites The generative quantum eigensolver (gqe) and its application for ground state search,.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation The generative quantum eigensolver (gqe) and its application for ground state search,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:37.129393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad22dd51-59f2-4a00-99f1-e7d5faf3386b · outbound

This paper cites Denoising Diffusion Probabilistic Models.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation Denoising Diffusion Probabilistic Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:37.226710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c2fae62-9572-44b4-9bae-1cdd4c55f13d · outbound

This paper cites Classifier-Free Diffusion Guidance.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation Classifier-Free Diffusion Guidance

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:37.290729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05bc4b42-59f3-47bb-a19c-79d8f01c8d0e · outbound

This paper cites Benchmarking quantum architecture search with surrogate assistance,.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation Benchmarking quantum architecture search with surrogate assistance,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:39.251123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 13e7b170-caae-4927-b26d-499e6afb9b13 · outbound

This paper cites Better than classical? The subtle art of benchmarking quantum machine learning models.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation Better than classical? The subtle art of benchmarking quantum machine learning models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:37.481164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7abe5509-1511-4710-a189-56f7229c980f · outbound

This paper cites Deep Unsupervised Learning using Nonequilibrium Thermodynamics.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:36.293477Z

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Unavailable: canonical work link unavailable.

Observation 8258f5a2-750b-4b5d-b540-9924c0417f10 · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 44098998.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation Available: https://api.semanticscholar.org/CorpusID: 44098998

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:41.497237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f6f6223c-9b1e-47d5-9767-31cee888bc1c · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 265018897.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation Available: https://api.semanticscholar.org/CorpusID: 265018897

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:41.934245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

Observation 3f7e2881-70e1-4690-b8f2-1ad7d1ff985d · inbound

From Characterization To Construction: Generative Quantum Circuit Synthesis from Gate Set Tomography Data cites this paper.

From Characterization To Construction: Generative Quantum Circuit Synthesis from Gate Set Tomography Data Leveraging Diffusion Models for Parameterized Quantum Circuit Generation

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:51:05.835357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.