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Paper Citation Record · LEDGER

TabularQGAN: A Quantum Generative Model for Tabular Data

As of 9 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2505.22533.

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

pith.paper-citation-record.v1
2505.22533 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:13:22.343110Z

measured 51 of 51 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

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Reference resolution

51 of 51 outbound references displayed

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  • verified fuzzy28
  • unresolved22
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External citation measurements

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Outbound references

Observation 42b46c97-7d86-45bd-acb8-7688ba9850d1 · outbound

This paper cites Quantum error correction below the surface code threshold.Nature, 2024.

TabularQGAN: A Quantum Generative Model for Tabular Data Quantum error correction below the surface code threshold.Nature, 2024

Reference 1

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Observation 82109014-0b3b-4d58-abff-cb2e8ac7a5e0 · outbound

This paper cites Evered, Alexandra A.

TabularQGAN: A Quantum Generative Model for Tabular Data Evered, Alexandra A

Reference 2

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source=pdf_text observed=2026-08-07T13:13:17.664312Z digest=sha256:a281200e0116fe0f6798ee19f40d374153f8d37ca3ddef2455564c94156fb633

Observation 90a49697-49e7-4825-9548-39b883ab32cb · outbound

This paper cites Evidence for the utility of quantum computing before fault tolerance.Nature, 618(7965):500–505, June 2023.

TabularQGAN: A Quantum Generative Model for Tabular Data Evidence for the utility of quantum computing before fault tolerance.Nature, 618(7965):500–505, June 2023

Reference 3

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Observation 5d21a6df-017b-4e75-903b-c2b890e058e0 · outbound

This paper cites Optimization by decoded quantum interferometry.arXiv preprint arXiv:2408.08292, 2024.

TabularQGAN: A Quantum Generative Model for Tabular Data Optimization by decoded quantum interferometry.arXiv preprint arXiv:2408.08292, 2024

Reference 4

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source=pdf_text observed=2026-08-07T13:13:17.853664Z digest=sha256:db8d43786173e53b500e933259cedd990889a7b77873bd7f3c07140b6ad74e4f

Observation cd822ad1-ed48-40d0-bce0-b35f419a5d3d · outbound

This paper cites an unresolved cited work.

TabularQGAN: A Quantum Generative Model for Tabular Data Unresolved cited work

Reference 5

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source=pdf_text observed=2026-08-07T13:13:17.942324Z digest=sha256:a75e9562e1c4dc148ee4e954d786073c9ed855db44dc196b89831ec2fa317b33

Observation eb043160-5c3f-4ffd-84f7-e775adf9bcb2 · outbound

This paper cites an unresolved cited work.

TabularQGAN: A Quantum Generative Model for Tabular Data Unresolved cited work

Reference 6

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Observation 1ac9105d-3675-4646-badb-d7206f0e06b5 · outbound

This paper cites Quantum measurements and the Abelian Stabilizer Problem.

TabularQGAN: A Quantum Generative Model for Tabular Data Quantum measurements and the Abelian Stabilizer Problem

Reference 7

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source=pdf_text observed=2026-08-07T13:13:18.143259Z digest=sha256:ea68c9880abfc4ae24db37720e58f0d53cb7bad8f301a1a87f9fc6a85144b289

Observation 05a9201e-b306-49b7-abb9-f11b44b0e6b3 · outbound

This paper cites Springer, 2018.

TabularQGAN: A Quantum Generative Model for Tabular Data Springer, 2018

Reference 8

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source=pdf_text observed=2026-08-07T13:13:18.235440Z digest=sha256:f558bed6d8882e90ff65ecfc0c9ce758734ebc0ff545b64f8b00937435bc86a3

Observation fff41fd0-83fa-463c-bb6d-03da83aee18e · outbound

This paper cites Quantum Observables for continuous control of the Quantum Approximate Optimization Algorithm via Reinforcement Learning.

TabularQGAN: A Quantum Generative Model for Tabular Data Quantum Observables for continuous control of the Quantum Approximate Optimization Algorithm via Reinforcement Learning

Reference 9

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local_arxiv, observed 2026-08-07T13:13:22.663709Z

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source=pdf_text observed=2026-08-07T13:13:18.349408Z digest=sha256:ef9d7814d50a0d2437d409df53c921e322f7866a64302c354d909cd0103e905c

Observation 14cd3e1f-2cad-4ec9-81ae-6984ce36ebfd · outbound

This paper cites Quantum Vision Transformers.

TabularQGAN: A Quantum Generative Model for Tabular Data Quantum Vision Transformers

Reference 10

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source=pdf_text observed=2026-08-07T13:13:18.433138Z digest=sha256:84dfd1f4aa4e00dbfc1bf3cd0c12abea499d8f40f0b0425c9efbd5f761e35a49

Observation e3cd128f-079e-47cf-b8c9-243385204e4a · outbound

This paper cites Fast quantum algorithm for attention computation.arXiv preprint arXiv:2307.08045, 2023.

TabularQGAN: A Quantum Generative Model for Tabular Data Fast quantum algorithm for attention computation.arXiv preprint arXiv:2307.08045, 2023

Reference 11

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source=pdf_text observed=2026-08-07T13:13:18.536880Z digest=sha256:7e2a740cdd844288285e10be3e4a6351009b20857fdfff317d1523d15ae47994

Observation 328c7a59-cca0-4a3e-8107-a88e71a8959b · outbound

This paper cites Quantum machine learning for image classification.Machine Learning: Science and Technology, 5(1):015040, 2024.

TabularQGAN: A Quantum Generative Model for Tabular Data Quantum machine learning for image classification.Machine Learning: Science and Technology, 5(1):015040, 2024

Reference 12

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source=pdf_text observed=2026-08-07T13:13:18.603581Z digest=sha256:f2a754e5825c745b341f43001ed992ac8b612741e80f26432d844b9271618a2a

Observation 90456e32-b720-42cf-aee2-3c63a4ba0e75 · outbound

This paper cites On the Quantum versus Classical Learnability of Discrete Distributions.Quantum, 5:417, March 2021.

TabularQGAN: A Quantum Generative Model for Tabular Data On the Quantum versus Classical Learnability of Discrete Distributions.Quantum, 5:417, March 2021

Reference 13

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

source=pdf_text observed=2026-08-07T13:13:18.694314Z digest=sha256:97b6bd604ff71f4105acd3b7196431b3be5a6e74be912bf58a4f2ae8aa4d5351

Observation ed8ee039-20af-46d2-938c-567683425668 · outbound

This paper cites A comprehensive review of quantum machine learning: from nisq to fault tolerance.

TabularQGAN: A Quantum Generative Model for Tabular Data A comprehensive review of quantum machine learning: from nisq to fault tolerance

Reference 14

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raw_fallback, observed 2026-08-07T13:13:27.910951Z

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

source=pdf_text observed=2026-08-07T13:13:18.764343Z digest=sha256:0ac85abc3d3738474d680f03948691483f85157ca1a2930bd7047664d96853b5

Observation 43d0742c-5486-4763-9580-093606a71791 · outbound

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

TabularQGAN: A Quantum Generative Model for Tabular Data Better than classical? The subtle art of benchmarking quantum machine learning models

Reference 15

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source=pdf_text observed=2026-08-07T13:13:18.848558Z digest=sha256:9c78108e2963033ad251cdea6007e83855c7d8b66bda98c5c72c8e065e0d943f

Observation b0262ee9-cd6a-4af2-a1ff-d2af82bf57ee · outbound

This paper cites The power of quantum neural networks.Nature Computational Science, 1(6):403–409, 2021.

TabularQGAN: A Quantum Generative Model for Tabular Data The power of quantum neural networks.Nature Computational Science, 1(6):403–409, 2021

Reference 16

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source=pdf_text observed=2026-08-07T13:13:18.960741Z digest=sha256:adead3124a3bc9f580d86805849c6d2e09110d215b73814f06fe938a4ed479ca

Observation 87e7b3fe-acbd-4896-a4ff-a3e6d1d159bf · outbound

This paper cites Information perspective to probabilistic modeling: Boltzmann machines versus born machines.Entropy, 20(8), 2018.

TabularQGAN: A Quantum Generative Model for Tabular Data Information perspective to probabilistic modeling: Boltzmann machines versus born machines.Entropy, 20(8), 2018

Reference 17

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source=pdf_text observed=2026-08-07T13:13:19.032638Z digest=sha256:f7a112c026733822a501f13be594c982e78be5a3f1b842c70bce4ab10fbf4589

Observation a58ded22-1547-4d2e-b8f1-11fc7bfd6733 · outbound

This paper cites A generative modeling approach for benchmarking and training shallow quantum circuits.npj Quantum Information, 5(1):45, 2019.

TabularQGAN: A Quantum Generative Model for Tabular Data A generative modeling approach for benchmarking and training shallow quantum circuits.npj Quantum Information, 5(1):45, 2019

Reference 18

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Observation 851cc177-1ad6-45b0-b961-2d880bf8c0e7 · outbound

This paper cites Quantum generative adversarial networks.Phys.

TabularQGAN: A Quantum Generative Model for Tabular Data Quantum generative adversarial networks.Phys

Reference 19

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Observation 40068139-1dcf-4c32-bf74-51c26182b467 · outbound

This paper cites Quantum generative adversarial learning.

TabularQGAN: A Quantum Generative Model for Tabular Data Quantum generative adversarial learning

Reference 20

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source=pdf_text observed=2026-08-07T13:13:19.390022Z digest=sha256:5ac71f135702a743ffb2a1f44f3ae740777b3b86ce7d1a44659a4e69c4d3b73e

Observation a826ec5b-0610-491f-9000-cf0c8d187d35 · outbound

This paper cites an unresolved cited work.

TabularQGAN: A Quantum Generative Model for Tabular Data Unresolved cited work

Reference 21

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Observation 96a3c546-ab04-4dd0-8931-060fe959b389 · outbound

This paper cites A performance characterization of quantum generative models.

TabularQGAN: A Quantum Generative Model for Tabular Data A performance characterization of quantum generative models

Reference 22

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source=pdf_text observed=2026-08-07T13:13:19.546102Z digest=sha256:27187cdbda9dad71f0986061f39e77f1f3069c54178c6ec40118199446c47e07

Observation 3cc594af-ad4f-4083-8b2e-58dc01b263ee · outbound

This paper cites Gao, Z.-Y.

TabularQGAN: A Quantum Generative Model for Tabular Data Gao, Z.-Y

Reference 23

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source=pdf_text observed=2026-08-07T13:13:19.661265Z digest=sha256:d8dcc0d385ebb4d100673e5ebdc89225be86c9cf32983fce983b9492afd9e7d3

Observation 4e82909c-5847-460a-9df8-1387ff2efdad · outbound

This paper cites Generative adversarial networks-based synthetic pmu data creation for improved event classification.IEEE Open Access Journal of Power and Energy, 8:68–76, 2021.

TabularQGAN: A Quantum Generative Model for Tabular Data Generative adversarial networks-based synthetic pmu data creation for improved event classification.IEEE Open Access Journal of Power and Energy, 8:68–76, 2021

Reference 24

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source=pdf_text observed=2026-08-07T13:13:19.725481Z digest=sha256:8f126ec5514c7541c44e4c7a4e2ab6f6b31fe6191f4af1e73c62c2123f1399f1

Observation eca441b1-3f2b-42b1-b389-cb5a8eadaba0 · outbound

This paper cites Deep generative molecular design reshapes drug discovery.Cell Reports Medicine, 3(12), 2022.

TabularQGAN: A Quantum Generative Model for Tabular Data Deep generative molecular design reshapes drug discovery.Cell Reports Medicine, 3(12), 2022

Reference 25

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source=pdf_text observed=2026-08-07T13:13:19.795253Z digest=sha256:0e569fa00917320a692d09b74eea359d6fa37001301637b7e6c92283d40dcbef

Observation 6b42cd82-e5c1-40da-9c1a-cfaa2df67c3b · outbound

This paper cites Security and privacy of electronic health records: Concerns and challenges.

TabularQGAN: A Quantum Generative Model for Tabular Data Security and privacy of electronic health records: Concerns and challenges

Reference 26

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Observation fbfb4284-90f5-4447-9718-12848dab4fe8 · outbound

This paper cites Privacy-preserving anomaly detection using synthetic data.

TabularQGAN: A Quantum Generative Model for Tabular Data Privacy-preserving anomaly detection using synthetic data

Reference 27

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Observation ab4ee89c-389a-439e-87b0-0893964996aa · outbound

This paper cites an unresolved cited work.

TabularQGAN: A Quantum Generative Model for Tabular Data Unresolved cited work

Reference 28

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Observation 5614299a-c538-4c39-94a4-3cb37a074680 · outbound

This paper cites A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources.

TabularQGAN: A Quantum Generative Model for Tabular Data A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources

Reference 29

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source=pdf_text observed=2026-08-07T13:13:20.190121Z digest=sha256:3cc7262bb5a303b96fc090071eba293953d753a99f7835f9ce60e94b77a9ae2d

Observation 6da286c7-96cd-456f-a08b-af8371709271 · outbound

This paper cites Flöther, George Seegan, Nathan D.

TabularQGAN: A Quantum Generative Model for Tabular Data Flöther, George Seegan, Nathan D

Reference 30

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source=pdf_text observed=2026-08-07T13:13:20.345540Z digest=sha256:e74404cb1867017d418bfc563a513c4f3887fc3fc8bddd1ad5ee124b15360d92

Observation 8378bdda-865b-40fd-9adb-b8bfb631ade5 · outbound

This paper cites Stewart, and Jimeng Sun.

TabularQGAN: A Quantum Generative Model for Tabular Data Stewart, and Jimeng Sun

Reference 31

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source=pdf_text observed=2026-08-07T13:13:20.506222Z digest=sha256:9d89c382b0ccaf2c779ef2ac595bf1fafc8598a23bc6ed075c15578b7386e2d6

Observation f6edaabf-6767-4c30-9c70-b6ecc613571a · outbound

This paper cites Cairns, Jingsong Li, and Tingting Zhu.

TabularQGAN: A Quantum Generative Model for Tabular Data Cairns, Jingsong Li, and Tingting Zhu

Reference 32

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raw_fallback, observed 2026-08-07T13:13:25.108685Z

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.

source=pdf_text observed=2026-08-07T13:13:20.584898Z digest=sha256:428cb1dbcbff851ab733763f6c15425d5335c51be6a66b3ead0c0dfe33578817

Observation bcbfe4ba-71fa-415c-9c4b-9b6f3cdac0ca · outbound

This paper cites Modeling tabular data using conditional gan.Advances in neural information processing systems, 32, 2019.

TabularQGAN: A Quantum Generative Model for Tabular Data Modeling tabular data using conditional gan.Advances in neural information processing systems, 32, 2019

Reference 33

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source=pdf_text observed=2026-08-07T13:13:20.674638Z digest=sha256:2b809a0a2c7ab7e42cc818e9322911e23998aa20df6e6b35caf1a754ce455971

Observation acf90093-f042-4539-8943-0785feeb4a14 · outbound

This paper cites The synthetic data vault.

TabularQGAN: A Quantum Generative Model for Tabular Data The synthetic data vault

Reference 34

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raw_fallback, observed 2026-08-07T13:13:24.970746Z

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.

source=pdf_text observed=2026-08-07T13:13:20.826752Z digest=sha256:562624f75deac5b41066e8c3ab30b2d0d6d0b910cfbf02d678ca1ec02c4dfea5

Observation 8678e96a-fff7-4a62-a78c-f94d9bbbfdd6 · outbound

This paper cites Mimic-iii, a freely accessible critical care database.Scientific data, 3(1):1–9, 2016.

TabularQGAN: A Quantum Generative Model for Tabular Data Mimic-iii, a freely accessible critical care database.Scientific data, 3(1):1–9, 2016

Reference 35

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source=pdf_text observed=2026-08-07T13:13:20.902162Z digest=sha256:772df78d8c93032789a94d5090da10ec566118b9f48b49c62c4468826407dbef

Observation 8c844e54-d499-49a0-b730-35c88cae80bd · outbound

This paper cites & Mark R.

TabularQGAN: A Quantum Generative Model for Tabular Data & Mark R

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-07T13:13:24.770309Z

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.

source=pdf_text observed=2026-08-07T13:13:21.002333Z digest=sha256:e55c28356b259b71291d304c59d5e7828ecb059ca3bab77cbcb2706bb0dc61ae

Observation d54d9e45-1939-4464-8cd6-d65554bb7844 · outbound

This paper cites an unresolved cited work.

TabularQGAN: A Quantum Generative Model for Tabular Data Unresolved cited work

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T13:13:21.071754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:21.071754Z digest=sha256:a6cf95573f0d966ade568ed55ac08a3aee5c9a3a159a5a4fb072c36b3d8e3670

Observation 772d0953-dc0d-415e-8b4e-b2121df6d535 · outbound

This paper cites Cerezo, Andrew Arrasmith, Ryan Babbush, Simon C.

TabularQGAN: A Quantum Generative Model for Tabular Data Cerezo, Andrew Arrasmith, Ryan Babbush, Simon C

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:13:24.547848Z

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.

source=pdf_text observed=2026-08-07T13:13:21.193795Z digest=sha256:840abc02d2fe5f1a2a7c7d90b5374de6624cd2ff136ea148610bb6200b51c7b9

Observation d30384df-00f5-4201-bf9b-52e593bbd634 · outbound

This paper cites Universal quantum circuits for quantum chemistry.Quantum, 6:742, June 2022.

TabularQGAN: A Quantum Generative Model for Tabular Data Universal quantum circuits for quantum chemistry.Quantum, 6:742, June 2022

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:13:24.374783Z

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.

source=pdf_text observed=2026-08-07T13:13:21.241809Z digest=sha256:29888d9b8597e9154054400f180528896b491abea94e8842e6faaa32882511b1

Observation f9428152-e8ce-4a80-9b18-18c492996211 · outbound

This paper cites Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio.

TabularQGAN: A Quantum Generative Model for Tabular Data Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T13:13:21.348539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:21.348539Z digest=sha256:a2abe4cef0c2a71f4c293875e03a23b0771098902e0889e413f1aaf311de3290

Observation 78e781b3-e453-412e-8ec8-ba4493daed8f · outbound

This paper cites an unresolved cited work.

TabularQGAN: A Quantum Generative Model for Tabular Data Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:13:24.214763Z

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.

source=pdf_text observed=2026-08-07T13:13:21.433343Z digest=sha256:fe19fdbaa8bab33e9c8d6b0115f76fe688fca2e26bba0adf6b8431a3f8cbf87f

Observation e9497d42-9f2e-42ad-b5c0-34e930effa22 · outbound

This paper cites Evaluating analytic gradients on quantum hardware.Physical Review A, 99(3), March 2019.

TabularQGAN: A Quantum Generative Model for Tabular Data Evaluating analytic gradients on quantum hardware.Physical Review A, 99(3), March 2019

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:13:24.014812Z

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.

source=pdf_text observed=2026-08-07T13:13:21.502610Z digest=sha256:b001b8acf71ceb0f67cff7a463b5c70d4acf8951ca70b846a88b5900942ca6b3

Observation 55247a47-18f2-485e-a1b8-9b01d2185f97 · outbound

This paper cites Parallel evaluation of quantum algorithms for computational fluid dynamics.

TabularQGAN: A Quantum Generative Model for Tabular Data Parallel evaluation of quantum algorithms for computational fluid dynamics

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:13:23.869407Z

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.

source=pdf_text observed=2026-08-07T13:13:21.585481Z digest=sha256:0eabf401669993e1e9570fab6375acfba2622707013f88491371258a927372a5

Observation 18d490c8-b246-4ee7-89dc-1e2063a97d81 · outbound

This paper cites Generative adversarial nets.

TabularQGAN: A Quantum Generative Model for Tabular Data Generative adversarial nets

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:13:23.717067Z

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.

source=pdf_text observed=2026-08-07T13:13:21.664395Z digest=sha256:f9129ae32d666981c023654b7ae940635162f5704228c6b9a841745c1d2d7297

Observation b0bf2964-e156-4d4c-9b1b-3bbfa0bb7b6c · outbound

This paper cites DataCebo.

TabularQGAN: A Quantum Generative Model for Tabular Data DataCebo

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:13:23.510019Z

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.

source=pdf_text observed=2026-08-07T13:13:21.761101Z digest=sha256:e20fd91bc3ec12029093cad3ec9667ed9adbc5f6621dff8283f33d826caf0d11

Observation b24d5937-0e66-427a-9d4f-fac0037ef6bf · outbound

This paper cites Xgboost: A scalable tree boosting system.

TabularQGAN: A Quantum Generative Model for Tabular Data Xgboost: A scalable tree boosting system

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:13:23.319371Z

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.

source=pdf_text observed=2026-08-07T13:13:21.850627Z digest=sha256:1a155bf23303fc7b280bc46a590aaa4ecb19f47ad7805720f5e4916fdd0fbbf1

Observation 2e17345b-dfa5-48fd-abb2-2e5d04ed52a4 · outbound

This paper cites an unresolved cited work.

TabularQGAN: A Quantum Generative Model for Tabular Data Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:13:23.160311Z

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.

source=pdf_text observed=2026-08-07T13:13:21.915940Z digest=sha256:7205fde8be655a1f1091ee59bf3d7e44c63396e0ce02d1435d4a1f270d9ab39a

Observation 1886a241-0e38-4958-a6d6-f72d04bfe664 · outbound

This paper cites Barren plateaus in quantum neural network training landscapes.Nature communications, 9(1):4812, 2018.

TabularQGAN: A Quantum Generative Model for Tabular Data Barren plateaus in quantum neural network training landscapes.Nature communications, 9(1):4812, 2018

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T13:13:21.998801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:21.998801Z digest=sha256:cfcc25ed497f28e4661207244c523f2dc05ccf075a383c9566c169508bc5c884

Observation bae4e1db-6054-492f-a9d1-3c6d86c5e577 · outbound

This paper cites Theoretical guarantees for permutation-equivariant quantum neural networks.npj Quantum Information, 10(1):12, 2024.

TabularQGAN: A Quantum Generative Model for Tabular Data Theoretical guarantees for permutation-equivariant quantum neural networks.npj Quantum Information, 10(1):12, 2024

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:13:23.057527Z

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.

source=pdf_text observed=2026-08-07T13:13:22.094776Z digest=sha256:660f791ded6d13c7474a2f26827f0e78e0fbce1c721ab4c14eedd343792e9dec

Observation b8e150e5-fb79-4947-b3f1-d02d157e9ae3 · outbound

This paper cites Quantum Convolutional Neural Networks are Effectively Classically Simulable.

TabularQGAN: A Quantum Generative Model for Tabular Data Quantum Convolutional Neural Networks are Effectively Classically Simulable

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T13:13:22.227368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:22.227368Z digest=sha256:46b0af8c29679915f4b98ac9b51ae41d19c677cfd7342d9b9fe2a8a7cf62ea81

Observation 78c2c35f-7bca-43e3-b0e2-535188781ff8 · outbound

This paper cites Does provable absence of barren plateaus imply classical simulability?.

TabularQGAN: A Quantum Generative Model for Tabular Data Does provable absence of barren plateaus imply classical simulability?

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T13:13:22.343110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:22.343110Z digest=sha256:fcb1437c756c8b79ec9d07935eec2b16940654dc34a754b4e37cae0a233db919

Pith citing papers

No inbound Pith citation observations are available.