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Paper Citation Record · LEDGER

A Comprehensive Survey of Synthetic Tabular Data Generation

As of 19 August 2026, this Paper Citation Record lists 100 of 126 outbound references and 15 inbound Pith citation observations for arXiv:2504.16506.

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

pith.paper-citation-record.v1
2504.16506 v3

Coverage vector

measured 100 of 126 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:05:26.480043Z

measured 115 of 115 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:49:59.009623Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T15:45:04.707887Z

Reference resolution

100 of 126 outbound references displayed

  • verified exact2
  • verified fuzzy13
  • unresolved85
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2a98a2ab-00c6-4406-b1f7-6acb05da24b7 · outbound

This paper cites Machine learning in healthcare: A review,.

A Comprehensive Survey of Synthetic Tabular Data Generation Machine learning in healthcare: A review,

Reference 1

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source=pdf_text observed=2026-08-16T11:05:25.970748Z digest=sha256:30b9bed4a21b75eb6b3c3167f65b8fbfa9528ab651e8791f8be9cbf13c67904d

Observation fdf29355-b078-4c6f-8d2d-e8bc662c5c93 · outbound

This paper cites Ai in finance: challenges, techniques, and op- portunities,.

A Comprehensive Survey of Synthetic Tabular Data Generation Ai in finance: challenges, techniques, and op- portunities,

Reference 2

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Observation 94f52165-61e3-4294-803b-7821ac03a739 · outbound

This paper cites Comparing Synthetic Tabular Data Generation Between a Probabilistic Model and a Deep Learning Model for Education Use Cases.

A Comprehensive Survey of Synthetic Tabular Data Generation Comparing Synthetic Tabular Data Generation Between a Probabilistic Model and a Deep Learning Model for Education Use Cases

Reference 3

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Observation 78dcbcbf-fd8b-456f-ac8f-70b6e06152ff · outbound

This paper cites Tabular learning-based traffic event prediction for in- telligent social transportation system,.

A Comprehensive Survey of Synthetic Tabular Data Generation Tabular learning-based traffic event prediction for in- telligent social transportation system,

Reference 4

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source=pdf_text observed=2026-08-16T11:05:25.987927Z digest=sha256:d0feda3596c6920de08babcc4500aa07fdb72a914b3cb7fc5b3b5def962be334

Observation 57cd12b6-9d07-4b88-b45e-b14845a7f9be · outbound

This paper cites Theoretical risks and tabular asterisks: Sir karl, sir ronald, and the slow progress of soft psychology.

A Comprehensive Survey of Synthetic Tabular Data Generation Theoretical risks and tabular asterisks: Sir karl, sir ronald, and the slow progress of soft psychology

Reference 5

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source=pdf_text observed=2026-08-16T11:05:25.993151Z digest=sha256:a373dfdde54c6c8fa40ee6e4d72ac87a40322074c8d77593465fe64de345fbc3

Observation c4bc96e6-0ec9-4060-9233-17c154efe2df · outbound

This paper cites General data protection regulation,.

A Comprehensive Survey of Synthetic Tabular Data Generation General data protection regulation,

Reference 6

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source=pdf_text observed=2026-08-16T11:05:25.998357Z digest=sha256:526810f2834b3383580f36f646f38383b9163c83ff164aca9029d171410f62d7

Observation ce043735-0dbc-4fcd-a2b3-62a2e2e0a901 · outbound

This paper cites California consumer privacy act,.

A Comprehensive Survey of Synthetic Tabular Data Generation California consumer privacy act,

Reference 7

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source=pdf_text observed=2026-08-16T11:05:26.004159Z digest=sha256:ba2686ffe07e580b3645978b121796e2f344347335ca20746f739d235d73db6d

Observation f2f0e5c0-ae76-4744-9de3-263ade1130f9 · outbound

This paper cites A tutorial on energy-based learning,.

A Comprehensive Survey of Synthetic Tabular Data Generation A tutorial on energy-based learning,

Reference 8

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source=pdf_text observed=2026-08-16T11:05:26.013676Z digest=sha256:3b22cbeeeeb3cf2d2bf7414e9a561c871299a5bebde7d2e3f267cf9ff8fdad7a

Observation 8ff9bffa-8f4a-4cfc-bc27-182f211dcacf · outbound

This paper cites Auto-encoding vari- ational bayes,.

A Comprehensive Survey of Synthetic Tabular Data Generation Auto-encoding vari- ational bayes,

Reference 9

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source=pdf_text observed=2026-08-16T11:05:26.018702Z digest=sha256:01a613be65df5237c7780f8c86ab5d16b070a2711f833aef571c3c8db8c87298

Observation e45b7cbf-c12e-4cb9-8f58-faaa480dfec6 · outbound

This paper cites Generative adversarial nets,.

A Comprehensive Survey of Synthetic Tabular Data Generation Generative adversarial nets,

Reference 10

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source=pdf_text observed=2026-08-16T11:05:26.023372Z digest=sha256:6de6564b8b9014011c5053ed995c79952489e23f1755e546da0695c57b95755d

Observation 473f78f1-1f8a-4367-8217-f719903d5ed9 · outbound

This paper cites Nor- malizing flows: An introduction and review of current methods,.

A Comprehensive Survey of Synthetic Tabular Data Generation Nor- malizing flows: An introduction and review of current methods,

Reference 11

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source=pdf_text observed=2026-08-16T11:05:26.028066Z digest=sha256:c69bc67b34eb66bd87ba6d7f4fb78dff8da1fecab7c60f8315ab15d5b9df3ebc

Observation 3abc3e9a-25ec-409b-b437-a5b8658bd3cb · outbound

This paper cites Deep unsupervised learning using nonequi- librium thermodynamics,.

A Comprehensive Survey of Synthetic Tabular Data Generation Deep unsupervised learning using nonequi- librium thermodynamics,

Reference 12

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source=pdf_text observed=2026-08-16T11:05:26.032732Z digest=sha256:40dbbc31a069c2250a9656aa349587dc2e72e0e13cfa2461fc3aa92f4de26877

Observation a33904ef-9ae1-45a9-b287-c5f84beb4c5b · outbound

This paper cites A Survey of Large Language Models.

A Comprehensive Survey of Synthetic Tabular Data Generation A Survey of Large Language Models

Reference 13

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source=pdf_text observed=2026-08-16T11:05:26.037532Z digest=sha256:81138cfb0d2f72735d851374dbe774ddd4246304dc56d1e9c0687083d191d804

Observation 104fbf91-01a3-48fa-a596-b94386f7f046 · outbound

This paper cites Tabddpm: Modelling tabular data with diffusion models,.

A Comprehensive Survey of Synthetic Tabular Data Generation Tabddpm: Modelling tabular data with diffusion models,

Reference 14

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source=pdf_text observed=2026-08-16T11:05:26.042771Z digest=sha256:8f0e65bb3d16b9fa2120337e035d3235440bf11f8d4847acce8b4c1e798d8541

Observation 23cf7653-6705-4563-9265-fb6190afdfc5 · outbound

This paper cites TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation.

A Comprehensive Survey of Synthetic Tabular Data Generation TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation

Reference 15

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source=pdf_text observed=2026-08-16T11:05:26.047402Z digest=sha256:0e624d5301876e143e82edc742e8200d8d6c46e13d1a29068a76effaba424a40

Observation a26fe1c4-fb73-46c5-9caf-e6eabf32f22e · outbound

This paper cites Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes.

A Comprehensive Survey of Synthetic Tabular Data Generation Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes

Reference 16

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source=pdf_text observed=2026-08-16T11:05:26.052232Z digest=sha256:5ae35142a378a1525328a85caca48173d6b9b5942afda1d4984395421e6fbb60

Observation 97c12aba-eae5-4fb7-b00d-2b470855aa71 · outbound

This paper cites Differentially Private Tabular Data Synthesis using Large Language Models.

A Comprehensive Survey of Synthetic Tabular Data Generation Differentially Private Tabular Data Synthesis using Large Language Models

Reference 17

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source=pdf_text observed=2026-08-16T11:05:26.057594Z digest=sha256:e932587becc17294ce5422935b2f4869628890f400febb1447840fd19d76eb6a

Observation 6ac361c6-4197-4a86-a351-dfb4d3e551dc · outbound

This paper cites Differentially Private Generative Adversarial Network.

A Comprehensive Survey of Synthetic Tabular Data Generation Differentially Private Generative Adversarial Network

Reference 18

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source=pdf_text observed=2026-08-16T11:05:26.062333Z digest=sha256:f5a21574e80c4811ccc45af5350dc97cdeb98bb51724e497f53c7cc24250fe0f

Observation 368e619d-1d85-410d-9d32-419148416fc5 · outbound

This paper cites Pate- gan: Generating synthetic data with differential privacy guarantees,.

A Comprehensive Survey of Synthetic Tabular Data Generation Pate- gan: Generating synthetic data with differential privacy guarantees,

Reference 19

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source=pdf_text observed=2026-08-16T11:05:26.067205Z digest=sha256:146d437aa01dc78b054375076250e2a50a7a507daeefee6023bd77301630efd2

Observation 825d7e17-6f86-4eeb-8937-4a1955bf992a · outbound

This paper cites Synthetic data generation for tabular health records: A systematic review,.

A Comprehensive Survey of Synthetic Tabular Data Generation Synthetic data generation for tabular health records: A systematic review,

Reference 20

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source=pdf_text observed=2026-08-16T11:05:26.071627Z digest=sha256:ea89d0207ef47c768653f5a9b85c2f6b36ac5ee9eb431fccf4a01c14a36ac951

Observation f8c3d16f-0edb-4c4c-9677-b18799dc525a · outbound

This paper cites Gans for tabular healthcare data generation: A review on utility and privacy,.

A Comprehensive Survey of Synthetic Tabular Data Generation Gans for tabular healthcare data generation: A review on utility and privacy,

Reference 21

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source=pdf_text observed=2026-08-16T11:05:26.076204Z digest=sha256:7b7a15cfdae8e2dd55697543d1db10269407d9e130c7eb01d36f668c15fe70b2

Observation 95c35ec9-f453-4c92-bf06-0f5fbc30f2b7 · outbound

This paper cites Challenges and applications in generative ai for clinical tabular data in physiology,.

A Comprehensive Survey of Synthetic Tabular Data Generation Challenges and applications in generative ai for clinical tabular data in physiology,

Reference 22

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source=pdf_text observed=2026-08-16T11:05:26.081848Z digest=sha256:a7e247c291324d710b59bc7d8f10ba4bc8451cf6d77b6031bc2d6f950a300486

Observation c034bf93-0429-467c-ae27-060451e13560 · outbound

This paper cites Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis.

A Comprehensive Survey of Synthetic Tabular Data Generation Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis

Reference 23

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source=pdf_text observed=2026-08-16T11:05:26.086351Z digest=sha256:549ecaeab131a441a279f90ea0ba163221a7b0f23350c8dcc61f5fdbc0d22d77

Observation bfe714d2-3f99-42ab-a798-a091ee1f566e · outbound

This paper cites Synthetic Tabular Data Generation for Class Imbalance and Fairness: A Comparative Study.

A Comprehensive Survey of Synthetic Tabular Data Generation Synthetic Tabular Data Generation for Class Imbalance and Fairness: A Comparative Study

Reference 24

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Observation 6897b01b-947b-4abc-a6b2-57930d2465e7 · outbound

This paper cites Gen- erative models for tabular data: A review,.

A Comprehensive Survey of Synthetic Tabular Data Generation Gen- erative models for tabular data: A review,

Reference 25

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Observation f9c6eeae-8259-466c-97ea-77790c4efb56 · outbound

This paper cites The use of generative adversarial networks to alleviate class imbalance in tabular data: a survey,.

A Comprehensive Survey of Synthetic Tabular Data Generation The use of generative adversarial networks to alleviate class imbalance in tabular data: a survey,

Reference 26

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Observation f1f64e3e-86bf-4f32-94de-85c2c481bb33 · outbound

This paper cites Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey.

A Comprehensive Survey of Synthetic Tabular Data Generation Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey

Reference 27

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source=pdf_text observed=2026-08-16T11:05:26.106349Z digest=sha256:2d9a770e8a9701359e66f2b56d4bd5870ca7c51f18a72690310acb0e16aa43a3

Observation 56ad614d-ed40-4e59-8cef-8739f5b59575 · outbound

This paper cites Want To Reduce Labeling Cost? GPT-3 Can Help.

A Comprehensive Survey of Synthetic Tabular Data Generation Want To Reduce Labeling Cost? GPT-3 Can Help

Reference 28

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Observation 13013eae-4337-4110-9edd-519ab4ed9440 · outbound

This paper cites Generat- ing energy data for machine learning with recurrent gen- erative adversarial networks,.

A Comprehensive Survey of Synthetic Tabular Data Generation Generat- ing energy data for machine learning with recurrent gen- erative adversarial networks,

Reference 29

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source=pdf_text observed=2026-08-16T11:05:26.116274Z digest=sha256:c2c69e90207d70685c2cad1483a1d2b5c7231537655cab75b1a1c9d247037786

Observation 7e5a8772-429b-4aa8-9055-a26b53288c8a · outbound

This paper cites High fidelity, high performance?.

A Comprehensive Survey of Synthetic Tabular Data Generation High fidelity, high performance?

Reference 30

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source=pdf_text observed=2026-08-16T11:05:26.120973Z digest=sha256:4d4d8263172d2f454efc03c989162a2ff5d0315f75119b09de67f4daa4c50ffe

Observation 0add1455-c853-4b37-9c26-c5dee5b5db57 · outbound

This paper cites Reimagining synthetic tabular data generation through data-centric ai: A comprehensive benchmark,.

A Comprehensive Survey of Synthetic Tabular Data Generation Reimagining synthetic tabular data generation through data-centric ai: A comprehensive benchmark,

Reference 31

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source=pdf_text observed=2026-08-16T11:05:26.125650Z digest=sha256:68ef5b26a9f3fe65692a52f0008266653dd506569c6234bf4414f329a56a74ff

Observation c53cea6b-5367-420a-aea9-4370d162c885 · outbound

This paper cites A survey on tabular data generation: Utility, align- ment, fidelity, privacy, and beyond,.

A Comprehensive Survey of Synthetic Tabular Data Generation A survey on tabular data generation: Utility, align- ment, fidelity, privacy, and beyond,

Reference 32

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source=pdf_text observed=2026-08-16T11:05:26.130806Z digest=sha256:e9e156356e312bff27eecebb92485ba0d03a9ab921c7352d3d55909ee1dfd068

Observation 065007ec-ea35-460b-a63f-2d95253ed0f8 · outbound

This paper cites Random variables, joint distribution func- tions, and copulas,.

A Comprehensive Survey of Synthetic Tabular Data Generation Random variables, joint distribution func- tions, and copulas,

Reference 33

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source=pdf_text observed=2026-08-16T11:05:26.136072Z digest=sha256:10d64c2ef766d722446fd9186d87b3c3d8ca72672cd2e69d7d121e886b36fa2c

Observation f65446c5-10b1-49d8-9ea1-3c8065e69ba2 · outbound

This paper cites Gaussian mixture models.

A Comprehensive Survey of Synthetic Tabular Data Generation Gaussian mixture models

Reference 34

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source=pdf_text observed=2026-08-16T11:05:26.140758Z digest=sha256:a70d75534c0228b050919949c2b011ae749a851a1f52b036800a8b2ada7ce21f

Observation ceaba26d-0f95-460b-b386-1b12e82ad769 · outbound

This paper cites Smote: synthetic minority over-sampling technique,.

A Comprehensive Survey of Synthetic Tabular Data Generation Smote: synthetic minority over-sampling technique,

Reference 35

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Observation e2ae6f66-1cbb-4bcb-8d42-b221af92834b · outbound

This paper cites Borderline- smote: a new over-sampling method in imbalanced data sets learning,.

A Comprehensive Survey of Synthetic Tabular Data Generation Borderline- smote: a new over-sampling method in imbalanced data sets learning,

Reference 36

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Observation d0c1594d-568e-4255-8ea5-cdac6bb0f501 · outbound

This paper cites Syn- thetic minority oversampling using edited displacement- based k-nearest neighbors,.

A Comprehensive Survey of Synthetic Tabular Data Generation Syn- thetic minority oversampling using edited displacement- based k-nearest neighbors,

Reference 37

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source=pdf_text observed=2026-08-16T11:05:26.155813Z digest=sha256:27c9d39c121f9331a516b3e0e2f9f431c89a864599db6dc400e22f095abe6621

Observation 52466e7d-ed11-4bfa-a680-408abfba75db · outbound

This paper cites Smote-enc: A novel smote-based method to generate synthetic data for nom- inal and continuous features,.

A Comprehensive Survey of Synthetic Tabular Data Generation Smote-enc: A novel smote-based method to generate synthetic data for nom- inal and continuous features,

Reference 38

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source=pdf_text observed=2026-08-16T11:05:26.161116Z digest=sha256:4d3523c1fb05204eee9484ca71212ee257e0032d92350c96a8b3afaa8431e207

Observation bb4f2666-2b2b-434d-a18b-3213a4b8a865 · outbound

This paper cites Adasyn: JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2021 16 Adaptive synthetic sampling approach for imbalanced learning,.

A Comprehensive Survey of Synthetic Tabular Data Generation Adasyn: JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2021 16 Adaptive synthetic sampling approach for imbalanced learning,

Reference 39

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source=pdf_text observed=2026-08-16T11:05:26.165977Z digest=sha256:33ee8427c3e99e86f4561b247887134f0abb11dde7f68c7183d28935e557db4f

Observation 6a374b91-1a61-4833-a4a7-89eec05ace5e · outbound

This paper cites synthpop: Bespoke creation of synthetic data in r,.

A Comprehensive Survey of Synthetic Tabular Data Generation synthpop: Bespoke creation of synthetic data in r,

Reference 40

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source=pdf_text observed=2026-08-16T11:05:26.170780Z digest=sha256:0478a97f3ae9c659c42f197ac76aafd957b6236f2cc4557399285fe9d66ef66f

Observation 91c82d75-9268-4e44-8c8f-12af5c5f4b7b · outbound

This paper cites Goggle: Generative modelling for tabular data by learning relational structure,.

A Comprehensive Survey of Synthetic Tabular Data Generation Goggle: Generative modelling for tabular data by learning relational structure,

Reference 41

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source=pdf_text observed=2026-08-16T11:05:26.175822Z digest=sha256:6c44fa160568cb619f73e412d1cb5b6810ff10d2f374662042e7726128981b2c

Observation 7c6b4209-c063-4902-aa00-1026e9d07786 · outbound

This paper cites Vaem: a deep generative model for heterogeneous mixed type data,.

A Comprehensive Survey of Synthetic Tabular Data Generation Vaem: a deep generative model for heterogeneous mixed type data,

Reference 42

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source=pdf_text observed=2026-08-16T11:05:26.180472Z digest=sha256:50d419575be9daae9eaaa3a97f82f33addddd23edf92c7adb005bf373ee0175c

Observation 250fbdde-30da-4375-b074-b451a9a8cb8a · outbound

This paper cites Modeling tabular data using con- ditional gan,.

A Comprehensive Survey of Synthetic Tabular Data Generation Modeling tabular data using con- ditional gan,

Reference 43

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source=pdf_text observed=2026-08-16T11:05:26.185049Z digest=sha256:915bba9377fab255e9ba17e7943a829ec98ad14c40177f31ea88916da936b4be

Observation aa140596-6ba7-463a-b006-8563b3cf401f · outbound

This paper cites Synthesizing Tabular Data using Generative Adversarial Networks.

A Comprehensive Survey of Synthetic Tabular Data Generation Synthesizing Tabular Data using Generative Adversarial Networks

Reference 44

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source=pdf_text observed=2026-08-16T11:05:26.190299Z digest=sha256:ae96d552b11ff17a1df384319d5bb232a2218a0dad486b6118de5f7a8e72a4bc

Observation 1e69fe47-e7a7-44b7-be51-ceb8af5b6b60 · outbound

This paper cites Generating multi-label discrete patient records using generative adversarial networks,.

A Comprehensive Survey of Synthetic Tabular Data Generation Generating multi-label discrete patient records using generative adversarial networks,

Reference 45

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:05:26.195071Z digest=sha256:8f3be4cc5d3a03dfb89b7eb34693fe144b16d50cb3b099d1653813387d6d34c6

Observation fb901d38-e001-403a-8454-ca00c13d75a4 · outbound

This paper cites Castgan: Cascaded generative adver- sarial network for realistic tabular data synthesis,.

A Comprehensive Survey of Synthetic Tabular Data Generation Castgan: Cascaded generative adver- sarial network for realistic tabular data synthesis,

Reference 46

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source=pdf_text observed=2026-08-16T11:05:26.199714Z digest=sha256:5cde7c7b28eb3c6c87ec015aec00b5decc5126820cbf2ede3f8b5fd594945b14

Observation b531e65b-4492-46bc-8771-2eafc7cc6ab7 · outbound

This paper cites Airline Passenger Name Record Generation using Generative Adversarial Networks.

A Comprehensive Survey of Synthetic Tabular Data Generation Airline Passenger Name Record Generation using Generative Adversarial Networks

Reference 47

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source=pdf_text observed=2026-08-16T11:05:26.204654Z digest=sha256:8b433bb655738352d100f64f4a68dafe73932b6c822a2496c2a93cc565bb7344

Observation c8270c1c-0cbe-4f15-9140-5292ceaddb93 · outbound

This paper cites Data Synthesis based on Generative Adversarial Networks.

A Comprehensive Survey of Synthetic Tabular Data Generation Data Synthesis based on Generative Adversarial Networks

Reference 48

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source=pdf_text observed=2026-08-16T11:05:26.209696Z digest=sha256:76ade6ece6f2f7480ddb6d4a9a9d24b505554bfc0b1b05c1acce01c9453770ea

Observation 2cc455c1-a34a-4c0b-b5e0-f38e5c08679a · outbound

This paper cites Invert- ible tabular gans: Killing two birds with one stone for tabular data synthesis,.

A Comprehensive Survey of Synthetic Tabular Data Generation Invert- ible tabular gans: Killing two birds with one stone for tabular data synthesis,

Reference 49

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source=pdf_text observed=2026-08-16T11:05:26.214685Z digest=sha256:ae942b7e82956b5170b57a22af8d3d5830b4a7e8e9c84edba6668f1fd38e96f6

Observation c431b4fe-a5b7-47cb-92c7-29323d180355 · outbound

This paper cites VT-GAN: Cooperative Tabular Data Synthesis using Vertical Federated Learning.

A Comprehensive Survey of Synthetic Tabular Data Generation VT-GAN: Cooperative Tabular Data Synthesis using Vertical Federated Learning

Reference 50

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verified exact
local_arxiv, observed 2026-08-16T11:05:27.285953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:05:26.219288Z digest=sha256:97087d9c68144b1c75623b98e43b48c2eb4fb258a2a550ff188df72ec4f0e752

Observation 333a5640-bd98-466c-b600-64bd9596f3de · outbound

This paper cites FCT-GAN: Enhancing Table Synthesis via Fourier Transform.

A Comprehensive Survey of Synthetic Tabular Data Generation FCT-GAN: Enhancing Table Synthesis via Fourier Transform

Reference 51

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source=pdf_text observed=2026-08-16T11:05:26.224042Z digest=sha256:b73a5ec3dc57fb6671609ac0b75b4ec38f5aad9b13eae87aa0b8cd0419b1eb43

Observation eb505e23-8bbb-47ca-8f19-fc56defec9d6 · outbound

This paper cites Tabfairgan: Fair tabular data generation with generative adversarial networks,.

A Comprehensive Survey of Synthetic Tabular Data Generation Tabfairgan: Fair tabular data generation with generative adversarial networks,

Reference 52

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source=pdf_text observed=2026-08-16T11:05:26.228911Z digest=sha256:1aa41d10b2c3dc8ab0bc6476207d60d12cf821bbea5b6d6d63888f4a3c2abb83

Observation abbbb7ae-08cc-403e-afb9-05774e31098d · outbound

This paper cites Effective data generation for imbalanced learning using conditional generative ad- versarial networks,.

A Comprehensive Survey of Synthetic Tabular Data Generation Effective data generation for imbalanced learning using conditional generative ad- versarial networks,

Reference 53

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source=pdf_text observed=2026-08-16T11:05:26.233732Z digest=sha256:41d6ba5ddabb548cca2dd558e4487d99a0c03250afdbc655fee6e224100089fa

Observation 112541f0-85a5-41a3-aa2d-f74330d12490 · outbound

This paper cites Ctab-gan: Effective table data synthesizing,.

A Comprehensive Survey of Synthetic Tabular Data Generation Ctab-gan: Effective table data synthesizing,

Reference 54

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source=pdf_text observed=2026-08-16T11:05:26.239164Z digest=sha256:c5d8c9ddc2423b0303c18c803ba570db86a83a39677d68f774d7f18adfc583f4

Observation 01c42dd3-e1d7-4f22-a49e-a0ef6c831d2a · outbound

This paper cites Oct- gan: Neural ode-based conditional tabular gans,.

A Comprehensive Survey of Synthetic Tabular Data Generation Oct- gan: Neural ode-based conditional tabular gans,

Reference 55

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source=pdf_text observed=2026-08-16T11:05:26.244780Z digest=sha256:c9d4d4cf9695a3cdc4a3ed4ab4547768fc414a4d2852381cf7917bb2b5c1c6c9

Observation 5d68fc30-6a5d-4534-8050-90d58371962d · outbound

This paper cites Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced Learning.

A Comprehensive Survey of Synthetic Tabular Data Generation Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced Learning

Reference 56

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source=pdf_text observed=2026-08-16T11:05:26.249512Z digest=sha256:8ea40f47f0030ce2cb7ee90f6d9087238f2d85b597c39d9eabdfdc53b570b3d6

Observation 1080b5b5-6924-4022-b3e9-222818bc4728 · outbound

This paper cites Row conditional- tgan for generating synthetic relational databases,.

A Comprehensive Survey of Synthetic Tabular Data Generation Row conditional- tgan for generating synthetic relational databases,

Reference 57

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source=pdf_text observed=2026-08-16T11:05:26.254647Z digest=sha256:89982917fea142cfb058651ba43d9e1c4cceed5da11e5c49f68401fdb687c604

Observation 70a79427-bb02-4c36-861b-ca0617390732 · outbound

This paper cites Differentially private synthetic medical data generation using convo- lutional gans,.

A Comprehensive Survey of Synthetic Tabular Data Generation Differentially private synthetic medical data generation using convo- lutional gans,

Reference 58

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source=pdf_text observed=2026-08-16T11:05:26.259300Z digest=sha256:1e8226ed4725d52f3d623115e4ca5e00e753d83c9a05d27fed21ecd7e28d6335

Observation 9d6785c1-af62-4ec8-bb15-07ef2b5abca6 · outbound

This paper cites Ctab-gan+: Enhancing tabular data synthesis,.

A Comprehensive Survey of Synthetic Tabular Data Generation Ctab-gan+: Enhancing tabular data synthesis,

Reference 59

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-16T11:05:26.264319Z digest=sha256:5f42df2a51f47bef1b11aa0f93b3a8bd833fbb4d7c56fd53d2ed8f9be9826984

Observation 8c17fc32-d1bb-4ac8-b7b8-048ba4b52909 · outbound

This paper cites Codi: Co-evolving con- trastive diffusion models for mixed-type tabular synthe- sis,.

A Comprehensive Survey of Synthetic Tabular Data Generation Codi: Co-evolving con- trastive diffusion models for mixed-type tabular synthe- sis,

Reference 60

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source=pdf_text observed=2026-08-16T11:05:26.269152Z digest=sha256:c323e4a630e3720bd071c1e4c5a233bcdd873e55529b2b7ffee3606ccb1f3006

Observation de76108c-d5c8-4780-a7b2-dcff8640cbd7 · outbound

This paper cites Ctsyn: A foundational model for cross tabular data generation,.

A Comprehensive Survey of Synthetic Tabular Data Generation Ctsyn: A foundational model for cross tabular data generation,

Reference 61

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source=pdf_text observed=2026-08-16T11:05:26.274353Z digest=sha256:2b8213127f188c9bb436ebf2c3e1395fb245eca5f4e89fbe4ec32317b6a1f822

Observation 5b624f58-4f4c-44c3-bd2d-00a5d2e34600 · outbound

This paper cites AutoDiff: combining Auto-encoder and Diffusion model for tabular data synthesizing.

A Comprehensive Survey of Synthetic Tabular Data Generation AutoDiff: combining Auto-encoder and Diffusion model for tabular data synthesizing

Reference 62

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source=pdf_text observed=2026-08-16T11:05:26.279262Z digest=sha256:a8713d33afef7040529a633644c641ef4a9cb4dde1865eeae8ca5495585465e9

Observation cb496edc-94c7-4701-bfe4-962951dae551 · outbound

This paper cites Controllable tabular data synthesis using diffusion models,.

A Comprehensive Survey of Synthetic Tabular Data Generation Controllable tabular data synthesis using diffusion models,

Reference 63

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source=pdf_text observed=2026-08-16T11:05:26.284898Z digest=sha256:8fc0dd60af6174a97d866bff8e0b3b9bd4bbbef4b3db3743d3b708050e4c9a67

Observation 02301b58-5589-48b0-bd02-7eda038b00a5 · outbound

This paper cites Synthesizing Mixed-type Electronic Health Records using Diffusion Models.

A Comprehensive Survey of Synthetic Tabular Data Generation Synthesizing Mixed-type Electronic Health Records using Diffusion Models

Reference 64

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source=pdf_text observed=2026-08-16T11:05:26.290285Z digest=sha256:38ba6e3d19b9343dfe4df894d138ac0f41786055a7063141c68442b8d6f4e6cf

Observation 3c234a49-8357-46d9-bb2f-76e58fc6df2a · outbound

This paper cites Findiff: Dif- fusion models for financial tabular data generation,.

A Comprehensive Survey of Synthetic Tabular Data Generation Findiff: Dif- fusion models for financial tabular data generation,

Reference 65

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source=pdf_text observed=2026-08-16T11:05:26.295158Z digest=sha256:98145331e059bd62c75f5b69a2e994d0dee0a3bbcc716fb1d5423d66080bd293

Observation 441113a7-9833-48ee-97c1-31b81b4a7a39 · outbound

This paper cites Synthetic health-related longitudinal data with mixed- type variables generated using diffusion models,.

A Comprehensive Survey of Synthetic Tabular Data Generation Synthetic health-related longitudinal data with mixed- type variables generated using diffusion models,

Reference 66

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source=pdf_text observed=2026-08-16T11:05:26.300060Z digest=sha256:56c2d7487865f3b008d2d8fc03bf0341b1e4eb55094a2c71974fffc12d05338a

Observation 51466508-bdae-41d4-af09-46155f9cd950 · outbound

This paper cites Imb- findiff: Conditional diffusion models for class imbal- ance synthesis of financial tabular data,.

A Comprehensive Survey of Synthetic Tabular Data Generation Imb- findiff: Conditional diffusion models for class imbal- ance synthesis of financial tabular data,

Reference 67

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:05:26.304467Z digest=sha256:9878e1b52b89ce79b59bf6f7e4f520cc63887c7821ba734a3132b31b287eb7e3

Observation 4a027c5b-7d82-4de4-83d6-3c8dad680dbc · outbound

This paper cites A flexible generative model for heterogeneous tabular ehr with missing modality,.

A Comprehensive Survey of Synthetic Tabular Data Generation A flexible generative model for heterogeneous tabular ehr with missing modality,

Reference 68

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source=pdf_text observed=2026-08-16T11:05:26.308956Z digest=sha256:0dcd759f10ed75045d5d0015e00d6baabd7637893d2623acfed2682ef90feb1d

Observation 6c730374-c5b1-4c09-8597-3e0209d3754b · outbound

This paper cites Entity-based financial tabular data synthesis with diffusion models,.

A Comprehensive Survey of Synthetic Tabular Data Generation Entity-based financial tabular data synthesis with diffusion models,

Reference 69

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source=pdf_text observed=2026-08-16T11:05:26.313598Z digest=sha256:70c7e3020d645bcc22433dc072c89ca5e6e2c188fad2cf16f0cab7f1ceeaa3ba

Observation 42ec9a83-da25-4faa-9b77-ffe9dfe5ef75 · outbound

This paper cites Sos: Score-based oversampling for tab- ular data,.

A Comprehensive Survey of Synthetic Tabular Data Generation Sos: Score-based oversampling for tab- ular data,

Reference 70

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verified fuzzy
raw_fallback, observed 2026-08-16T11:05:28.055054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:05:26.318583Z digest=sha256:e830a8cfe37b581f3b46cad5b54425a518d2b1956b70ad273eb1ed0a3ed1c162

Observation a33d475b-6cbf-446a-acd9-a80410daa770 · outbound

This paper cites MissDiff: Training Diffusion Models on Tabular Data with Missing Values.

A Comprehensive Survey of Synthetic Tabular Data Generation MissDiff: Training Diffusion Models on Tabular Data with Missing Values

Reference 71

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source=pdf_text observed=2026-08-16T11:05:26.323370Z digest=sha256:8205ed26989d99f7e581f4730084c033dfb59af3b2677af0bab9d4c08c57c018

Observation 818ec141-d3ba-41c0-b9d3-46126b31dd39 · outbound

This paper cites Diffusion models for missing value imputation in tabular data.

A Comprehensive Survey of Synthetic Tabular Data Generation Diffusion models for missing value imputation in tabular data

Reference 72

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:05:26.328237Z digest=sha256:10c73c0c06b6d220543b47ccda87b3874180e50003b724f86a4aa36d63adcce7

Observation 91ccf7fd-5c37-4d2a-8e73-228efb74437b · outbound

This paper cites STaSy: Score-based Tabular data Synthesis.

A Comprehensive Survey of Synthetic Tabular Data Generation STaSy: Score-based Tabular data Synthesis

Reference 73

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source=pdf_text observed=2026-08-16T11:05:26.333754Z digest=sha256:bd849085a82d9a11ab9cd44b2c35c48b1252cc66e33ccc66d8ad8ea8b4026877

Observation f217e13e-e820-43f5-a2cd-280b748df2ba · outbound

This paper cites Generating and imputing tabular data via diffusion and flow-based gradient-boosted trees,.

A Comprehensive Survey of Synthetic Tabular Data Generation Generating and imputing tabular data via diffusion and flow-based gradient-boosted trees,

Reference 74

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verified fuzzy
raw_fallback, observed 2026-08-16T11:05:28.038396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:05:26.338640Z digest=sha256:4c4fc9c4f36f4027396d4d068c5a1e70de47df02280411f372ea831e716ed11f

Observation 2414fd7e-f6e6-4382-a84b-73e3b41f4d2c · outbound

This paper cites Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space.

A Comprehensive Survey of Synthetic Tabular Data Generation Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space

Reference 75

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:05:26.343178Z digest=sha256:59dad2223eed5b72f35b4721ea444a9adb27a7e541c749e62ff214a92f040a13

Observation 315ee022-1495-4147-8e74-1a4d16fc8b20 · outbound

This paper cites Epic: Effective prompt- ing for imbalanced-class data synthesis in tabular data classification via large language models,.

A Comprehensive Survey of Synthetic Tabular Data Generation Epic: Effective prompt- ing for imbalanced-class data synthesis in tabular data classification via large language models,

Reference 76

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raw_fallback, observed 2026-08-16T11:05:28.020936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:05:26.348153Z digest=sha256:5e04d07c726a5def3a52a5389af7d233b86f227fed618de2eaf560cbe830275e

Observation 1c585eee-5e00-411e-a22a-f45f6cea2c78 · outbound

This paper cites Language-interfaced tabular oversampling via progres- sive imputation and self-authentication,.

A Comprehensive Survey of Synthetic Tabular Data Generation Language-interfaced tabular oversampling via progres- sive imputation and self-authentication,

Reference 77

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raw_fallback, observed 2026-08-16T11:05:28.002351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:05:26.353466Z digest=sha256:5d3bdc04bb886027b7ea5847dff3df757a8c46cee0e989af1ee06ac9dc2227ba

Observation 5c1905aa-1736-4842-accb-f4ea4b5fa16a · outbound

This paper cites Optimized feature generation for tabular data via llms with decision tree reasoning,.

A Comprehensive Survey of Synthetic Tabular Data Generation Optimized feature generation for tabular data via llms with decision tree reasoning,

Reference 78

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raw_fallback, observed 2026-08-16T11:05:27.986114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:05:26.358148Z digest=sha256:d0bad0ff64cdd7104f46e9dcf974afd377caee8fd73d734fa240c77ba7d8d418

Observation a1baf21e-372f-42e9-a5a8-0d51b1c5e386 · outbound

This paper cites Language Models are Realistic Tabular Data Generators.

A Comprehensive Survey of Synthetic Tabular Data Generation Language Models are Realistic Tabular Data Generators

Reference 79

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no resolver link, observed 2026-08-16T11:05:26.363122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:05:26.363122Z digest=sha256:590786f4614b814888ebe7eb7802df55e6a6af28e316d6ea82a81c0b8072764d

Observation 59068693-bffa-4de4-a2bf-ce097d4dd204 · outbound

This paper cites Tabmt: Generating tabular data with masked transformers,.

A Comprehensive Survey of Synthetic Tabular Data Generation Tabmt: Generating tabular data with masked transformers,

Reference 80

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raw_fallback, observed 2026-08-16T11:05:27.969595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:05:26.368302Z digest=sha256:0b0593c4e68cb35294b90d97065dbefdec591a6da900151a9ec28c000c92cc97

Observation c360b164-df07-4642-8c44-f59ea9d7e154 · outbound

This paper cites Generative Table Pre-training Empowers Models for Tabular Prediction.

A Comprehensive Survey of Synthetic Tabular Data Generation Generative Table Pre-training Empowers Models for Tabular Prediction

Reference 81

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no resolver link, observed 2026-08-16T11:05:26.374374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:05:26.374374Z digest=sha256:445bbc338877cec165dc185414864a0cf805a07e99c5b56730413731fe81f8f9

Observation c94267f6-2cca-48ec-9a27-cf7a49fc642f · outbound

This paper cites HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection.

A Comprehensive Survey of Synthetic Tabular Data Generation HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection

Reference 82

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no resolver link, observed 2026-08-16T11:05:26.380136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:05:26.380136Z digest=sha256:99b5be6cb9128b1dd632dec2ab6e9e9e2df881af24a1af19e6e85b35a56523d3

Observation 41bdadb2-5c55-4f81-be6a-6b1a6a42de63 · outbound

This paper cites AIGT: AI Generative Table Based on Prompt.

A Comprehensive Survey of Synthetic Tabular Data Generation AIGT: AI Generative Table Based on Prompt

Reference 83

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no resolver link, observed 2026-08-16T11:05:26.385260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:05:26.385260Z digest=sha256:b30baf4e7e35cc7162fc92585b4a0a9f906648dab69b5b3d7f8cbf57b0b29be5

Observation 4f9527c2-73a9-4302-b756-339be9860e79 · outbound

This paper cites Generating Realistic Tabular Data with Large Language Models.

A Comprehensive Survey of Synthetic Tabular Data Generation Generating Realistic Tabular Data with Large Language Models

Reference 84

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no resolver link, observed 2026-08-16T11:05:26.390955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:05:26.390955Z digest=sha256:d78c3a74c6c17ce2bea0666f5389b7cf16ca5c68e0b10faad0473d0f0d043722

Observation b6dfa450-ef31-4ee9-b4b9-68351bbb0bed · outbound

This paper cites REaLTabFormer: Generating Realistic Relational and Tabular Data using Transformers.

A Comprehensive Survey of Synthetic Tabular Data Generation REaLTabFormer: Generating Realistic Relational and Tabular Data using Transformers

Reference 85

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no resolver link, observed 2026-08-16T11:05:26.398346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:05:26.398346Z digest=sha256:b27bac843af7d2ad08ca96678f4af1f5205fa3bda7eef5fd13199524a80f1d46

Observation 3366f5bb-94df-445d-b023-43b5fd64e235 · outbound

This paper cites TabuLa: Harnessing Language Models for Tabular Data Synthesis.

A Comprehensive Survey of Synthetic Tabular Data Generation TabuLa: Harnessing Language Models for Tabular Data Synthesis

Reference 86

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no resolver link, observed 2026-08-16T11:05:26.403815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:05:26.403815Z digest=sha256:e11248cc2ea785822fc3147f09731f949a7eb312902e194ac5419b684cbe237c

Observation c70e45df-f0f8-49e9-9f23-ef54eba63b9b · outbound

This paper cites P-ta: Using proximal policy optimization to en- hance tabular data augmentation via large language models,.

A Comprehensive Survey of Synthetic Tabular Data Generation P-ta: Using proximal policy optimization to en- hance tabular data augmentation via large language models,

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:05:27.954084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:05:26.409250Z digest=sha256:9cdb1cc838d73a00d14ceac23504b07959434d8e22271271cb1d6edc7613c6d2

Observation bd924be6-6574-4c70-8287-1ab9361280cd · outbound

This paper cites Clinical reasoning over tabular data and text with bayesian networks,.

A Comprehensive Survey of Synthetic Tabular Data Generation Clinical reasoning over tabular data and text with bayesian networks,

Reference 88

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no resolver link, observed 2026-08-16T11:05:26.415121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:05:26.415121Z digest=sha256:9894b4131ddf07614f349e25be99eb1d97042315dfd96fb3fea974384788eede

Observation bc8296fc-6e53-4947-8002-444fcbeefac5 · outbound

This paper cites Fixing a broken elbo,.

A Comprehensive Survey of Synthetic Tabular Data Generation Fixing a broken elbo,

Reference 89

Resolution
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raw_fallback, observed 2026-08-16T11:05:27.928951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:05:26.421228Z digest=sha256:816aa3e8470a13dd4e156429ee8bb0cb8d4e14bf7c092be6744cb37546492ae7

Observation 95f9b31f-6175-4b55-849b-de39ed3ee4ab · outbound

This paper cites A comprehensive survey on graph neural networks,.

A Comprehensive Survey of Synthetic Tabular Data Generation A comprehensive survey on graph neural networks,

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:05:27.913383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:05:26.426099Z digest=sha256:5b7a9a5b53b25e4f701add3131851d8659fd80afb76a14e9d7960eaf69c762c1

Observation 18dbc948-0172-4975-8d45-a358f8f8c3bd · outbound

This paper cites Generative adversarial networks,.

A Comprehensive Survey of Synthetic Tabular Data Generation Generative adversarial networks,

Reference 91

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:05:26.431058Z digest=sha256:287c04452ebf0e16febf342615a5ad928eabb3fa9bd79f757ffc48e8395ba1f0

Observation ff7f8400-a0d7-43ba-aaf1-aec02ab3ede7 · outbound

This paper cites Long short-term memory,.

A Comprehensive Survey of Synthetic Tabular Data Generation Long short-term memory,

Reference 92

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no resolver link, observed 2026-08-16T11:05:26.436249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:05:26.436249Z digest=sha256:104011194ac1a3f296569f352de9cead77ce5bce3ab9979c2b058dce4774002b

Observation 100d77ec-457d-4980-9306-3ea65ed30ef8 · outbound

This paper cites Attention is all you need,.

A Comprehensive Survey of Synthetic Tabular Data Generation Attention is all you need,

Reference 93

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no resolver link, observed 2026-08-16T11:05:26.441502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:05:26.441502Z digest=sha256:85a7f1955cd4b2b8e229b4ce181d1402ea16dd3fec19b45f1b96645c9fe7c44c

Observation 75541a68-af31-4a6f-971c-e5b7158bbc88 · outbound

This paper cites The Cramer Distance as a Solution to Biased Wasserstein Gradients.

A Comprehensive Survey of Synthetic Tabular Data Generation The Cramer Distance as a Solution to Biased Wasserstein Gradients

Reference 94

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no resolver link, observed 2026-08-16T11:05:26.446480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:05:26.446480Z digest=sha256:a1b8a09207650cee841bc0188bcf89187dcaa3067d879d4249b97d5eda119a82

Observation 318a9cee-3dc0-4fe8-be86-0192be29aca7 · outbound

This paper cites Backprop- agation applied to handwritten zip code recognition,.

A Comprehensive Survey of Synthetic Tabular Data Generation Backprop- agation applied to handwritten zip code recognition,

Reference 95

Resolution
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raw_fallback, observed 2026-08-16T11:05:27.865914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:05:26.452107Z digest=sha256:57e6807c449fa35ffb17e3fb5e3a8b2dd95786c7c59e9c9df3da2042c33c29cc

Observation 8a7e454e-e68f-4476-b2c3-23539e5390d9 · outbound

This paper cites cGANs with Projection Discriminator.

A Comprehensive Survey of Synthetic Tabular Data Generation cGANs with Projection Discriminator

Reference 96

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no resolver link, observed 2026-08-16T11:05:26.457558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:05:26.457558Z digest=sha256:e403ef9ed267abce8cf07b36580526ffd1b7a130d305e20eda4aa07106acd681

Observation 9900029d-c688-4efe-990a-fc561aad5760 · outbound

This paper cites Online learning: A comprehensive survey,.

A Comprehensive Survey of Synthetic Tabular Data Generation Online learning: A comprehensive survey,

Reference 97

Resolution
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no resolver link, observed 2026-08-16T11:05:26.463433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:05:26.463433Z digest=sha256:e7eef4da64a839ca36a1954af6bdb428f75985001048e58e3329894ed1534e13

Observation 1f5e134c-5f36-4ad5-b0d9-6667a388705f · outbound

This paper cites Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands.

A Comprehensive Survey of Synthetic Tabular Data Generation Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands

Reference 98

Resolution
verified exact
local_arxiv, observed 2026-08-16T11:05:26.858059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:05:26.469012Z digest=sha256:f7aed3cbeac7f003bbc6040d792dbaae96e6a04d5abd395236b9935de171e737

Observation bb729ab5-0348-4944-b786-52dac5430b69 · outbound

This paper cites Statistical aspects of wasserstein distances,.

A Comprehensive Survey of Synthetic Tabular Data Generation Statistical aspects of wasserstein distances,

Reference 99

Resolution
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raw_fallback, observed 2026-08-16T11:05:27.837381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:05:26.474886Z digest=sha256:acbbfcbb196b158bd56f18d228ea296af90315a01617aff54ea5751a920fbe3d

Observation 73a43622-6022-481f-b16e-a6a3ca5284b3 · outbound

This paper cites Pacgan: The power of two samples in generative adversarial networks,.

A Comprehensive Survey of Synthetic Tabular Data Generation Pacgan: The power of two samples in generative adversarial networks,

Reference 100

Resolution
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raw_fallback, observed 2026-08-16T11:05:27.820922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:05:26.480043Z digest=sha256:399be2314e9ee5b7a10e8ae2dbef336b73855638a7a0194c571e07208225efda

Pith citing papers

Observation 57b2861c-cbcb-415b-a9fd-54d5176d2f6d · inbound

Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space cites this paper.

Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space A Comprehensive Survey of Synthetic Tabular Data Generation

Reference 23

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verified exact
arxiv_id, observed 2026-05-23T04:42:33.202684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T04:41:50.959730Z digest=sha256:1ecd0d1798ab93ea5f1405e9b6f71082f145a1fc57d79d4f7be7ef19a25a4df4

Observation f926fdb8-a50e-47ce-8528-0c814b3a8bff · inbound

A Note on Statistically Accurate Tabular Data Generation Using Large Language Models cites this paper.

A Note on Statistically Accurate Tabular Data Generation Using Large Language Models A Comprehensive Survey of Synthetic Tabular Data Generation

Reference 2

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no resolver link, observed 2026-08-16T00:49:59.009623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:49:59.009623Z digest=sha256:fe1df94804fd02255af6ed7730ceff46edc04e6e10869a7c25d23463730c22b8

Observation 130e264a-9688-4340-9cd0-65d4ec460f7b · inbound

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis cites this paper.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis A Comprehensive Survey of Synthetic Tabular Data Generation

Reference 49

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no resolver link, observed 2026-08-15T15:48:26.319086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:48:26.319086Z digest=sha256:ebe6bb0fac61d288c954d778576253b69be2860f3983bf2e26d564829d4d8ed1

Observation 1ed005ea-72bd-40d2-ba3e-4a4b8cd0fb40 · inbound

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data cites this paper.

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data A Comprehensive Survey of Synthetic Tabular Data Generation

Reference 196

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no resolver link, observed 2026-08-03T08:15:30.514501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T08:15:30.514501Z digest=sha256:8e170e614d4a827f8f4a969145c433a5202dddd43e9dad08d1b879aa43f72053

Observation 086a616d-835b-4088-9617-9a96cfcf234e · inbound

Autoregressive Synthesis of Sparse and Semi-Structured Mixed-Type Data cites this paper.

Autoregressive Synthesis of Sparse and Semi-Structured Mixed-Type Data A Comprehensive Survey of Synthetic Tabular Data Generation

Reference 33

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verified exact
arxiv_id, observed 2026-05-15T18:16:27.088066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-15T18:14:17.585458Z digest=sha256:39bdc64567c371667edd4d6e9c13ff0f0564d68f55f031fb6ea050c47cee98ae

Observation adde8d86-a85b-4338-bb94-6049e34a8832 · inbound

Enhancing Tabular Anomaly Detection via Pseudo-Label-Guided Generation cites this paper.

Enhancing Tabular Anomaly Detection via Pseudo-Label-Guided Generation A Comprehensive Survey of Synthetic Tabular Data Generation

Reference 27

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verified exact
arxiv_id, observed 2026-05-11T12:16:05.412226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T03:58:41.622208Z digest=sha256:15a58231d613d9c4291a4a19fe2bbf5ec9a1de41a1b0bab72940d2c0d6cd6138

Observation d83a6de3-4043-4b5c-82a5-e820ff6dfa2b · inbound

SAGE: Sparse Adaptive Guidance for Dependency-Aware Tabular Data Generation cites this paper.

SAGE: Sparse Adaptive Guidance for Dependency-Aware Tabular Data Generation A Comprehensive Survey of Synthetic Tabular Data Generation

Reference 2

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malformed identifier
arxiv_id, observed 2026-05-11T21:46:24.921536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-08T04:29:41.279858Z digest=sha256:af1e3877dbc0779d7811d65c8fca0c5bafb8ce65b327fb2d58c0015732c31dc4

Observation df1c4480-e56e-48a0-8010-a10862853283 · inbound

Generative AI-Based Monte Carlo Simulation for Method Evaluation Using Synthetic Multilevel Data cites this paper.

Generative AI-Based Monte Carlo Simulation for Method Evaluation Using Synthetic Multilevel Data A Comprehensive Survey of Synthetic Tabular Data Generation

Reference 44

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T20:46:10.786594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T08:10:21.640857Z digest=sha256:dd33e505200928c00560fa9995edad38e503be964685502e7891a6557ce63487

Observation 43807b64-f032-4937-b19a-7e643578b2d0 · inbound

Tabular Foundation Model for Generative Modelling cites this paper.

Tabular Foundation Model for Generative Modelling A Comprehensive Survey of Synthetic Tabular Data Generation

Reference 74

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verified exact
arxiv_id, observed 2026-05-12T07:41:43.372872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-12T02:18:10.717196Z digest=sha256:503407a6f2c43e0b66edce47f9c98447dfac2655819dd9c040433f6de015d8ee

Observation 55bca47b-8df7-4f0d-bfdc-ca65a3d952cb · inbound

TabKDE: Simple and Scalable Tabular Data Generation with Kernel Density Estimates cites this paper.

TabKDE: Simple and Scalable Tabular Data Generation with Kernel Density Estimates A Comprehensive Survey of Synthetic Tabular Data Generation

Reference 153

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metadata mismatch
arxiv_id, observed 2026-05-20T14:13:21.256575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-20T14:11:00.566047Z digest=sha256:b9e1bc020460db1d2ba6f8a92b0448072bd31ed4b642ddb9a66b0fdd4fa0b4b4

Observation 764d30d6-bbf3-4ce0-b8e1-7cbb40d075a7 · inbound

Sequential RC-TGAN: Generating Relational Time Series with Spectral Envelope Loss cites this paper.

Sequential RC-TGAN: Generating Relational Time Series with Spectral Envelope Loss A Comprehensive Survey of Synthetic Tabular Data Generation

Reference 3

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verified exact
arxiv_id, observed 2026-07-01T06:35:29.324002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-01T06:35:06.822132Z digest=sha256:0fdb77ce85193a61bc8bb9e0c95ea899c10465dff4349d4b9dd09d1899c79add

Observation 082d75bd-36ea-4981-9d9a-c1071f2cd0e6 · inbound

Property-Driven Synthetic Data Engineering for Data-Scarce Software Systems: Reflections from the Breast Cancer Domain cites this paper.

Property-Driven Synthetic Data Engineering for Data-Scarce Software Systems: Reflections from the Breast Cancer Domain A Comprehensive Survey of Synthetic Tabular Data Generation

Reference 16

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verified exact
local_arxiv, observed 2026-07-08T15:45:04.709228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T15:40:23.206275Z digest=sha256:e4a6619dafa1ff182b77942b5b03b4646046e6981bd8cfbb9324f16522e8ef00

Observation 8474eb9c-5cf1-43cb-bfac-36f6ef4779b7 · inbound

RaMark: Radioactive Watermarking for Generated Tabular Data cites this paper.

RaMark: Radioactive Watermarking for Generated Tabular Data A Comprehensive Survey of Synthetic Tabular Data Generation

Reference 65

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unresolved
no resolver link, observed 2026-07-13T01:06:27.868238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T01:06:27.868238Z digest=sha256:55511dbe287eeead98e6ad71a62adbc1816b37eb9820c9c8fd1d5061aeda8ebb

Observation 7560dab7-7509-4b90-9c39-4e25791bf8d9 · inbound

LAB-Tab: LLM-Augmented Bayesian Network Adaptation for Few-Shot Tabular Generation cites this paper.

LAB-Tab: LLM-Augmented Bayesian Network Adaptation for Few-Shot Tabular Generation A Comprehensive Survey of Synthetic Tabular Data Generation

Reference 9

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no resolver link, observed 2026-08-04T19:14:36.297328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:14:36.297328Z digest=sha256:c41bb2f890792287ede6c881b8c9287f3f86117e025a9e322e8a4566091b08c7

Observation c43ed54d-4791-4279-a1d9-ea4404f88c79 · inbound

NAE: Normalizing AutoEncoder cites this paper.

NAE: Normalizing AutoEncoder A Comprehensive Survey of Synthetic Tabular Data Generation

Reference 142

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no resolver link, observed 2026-08-16T00:22:07.831640Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-16T00:22:07.831640Z digest=sha256:59f42604d77446bc10a9aeb181de523730efa7715ec7731f63c79150a1909208