Paper Citation Record · LEDGER

Diffusion and Flow Matching Models for Tabular Data: A Survey

As of 18 August 2026, this Paper Citation Record lists 100 of 154 outbound references and 3 inbound Pith citation observations for arXiv:2502.17119.

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

pith.paper-citation-record.v1
2502.17119 v2

Coverage vector

measured 100 of 154 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T08:00:32.132054Z

measured 103 of 103 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:07:52.980618Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T22:56:37.651141Z

Reference resolution

100 of 154 outbound references displayed

verified exact11
verified fuzzy86
unresolved2
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 43cea6b0-85b4-41fb-91f4-dbd3354f2349 · outbound

This paper cites Data mining in healthcare and biomedicine: a survey of the literature.

Diffusion and Flow Matching Models for Tabular Data: A Survey Data mining in healthcare and biomedicine: a survey of the literature

Reference 1

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Observation 4efa208a-3843-4667-a886-ec19ccd29738 · outbound

This paper cites an unresolved cited work.

Diffusion and Flow Matching Models for Tabular Data: A Survey Unresolved cited work

Reference 2

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Observation 2c4f1d74-45c8-4a61-973a-d386ea75678c · outbound

This paper cites Data mining in education.

Diffusion and Flow Matching Models for Tabular Data: A Survey Data mining in education

Reference 3

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Observation aaba0724-3919-4d6c-af2e-b58abe6bb72a · outbound

This paper cites An extensive review on data mining methods and clustering models for intelligent transportation system.

Diffusion and Flow Matching Models for Tabular Data: A Survey An extensive review on data mining methods and clustering models for intelligent transportation system

Reference 4

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Observation 666d4023-8c33-4fdc-bb10-20195292d553 · outbound

This paper cites Data mining in psychological treatment research: a primer on classification and regression trees.

Diffusion and Flow Matching Models for Tabular Data: A Survey Data mining in psychological treatment research: a primer on classification and regression trees

Reference 5

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Observation 0ea8304a-cbbe-4d2f-ab94-8b0630d5d2ae · outbound

This paper cites General data protection regulation.

Diffusion and Flow Matching Models for Tabular Data: A Survey General data protection regulation

Reference 6

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Source-reported events for the cited work

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Observation f3c6676d-68ae-4793-8d41-bf7c3a872195 · outbound

This paper cites California consumer privacy act of 2018 (ccpa).

Diffusion and Flow Matching Models for Tabular Data: A Survey California consumer privacy act of 2018 (ccpa)

Reference 7

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Source-reported events for the cited work

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Observation 7a20a751-12d8-4afb-bad7-0a1adeffae2a · outbound

This paper cites Tabd- dpm: Modelling tabular data with diffusion models.

Diffusion and Flow Matching Models for Tabular Data: A Survey Tabd- dpm: Modelling tabular data with diffusion models

Reference 8

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Observation e12c2407-65c1-4c4e-a52c-95e813c07ba8 · outbound

This paper cites Miwae: Deep generative modelling and imputation of incomplete data sets.

Diffusion and Flow Matching Models for Tabular Data: A Survey Miwae: Deep generative modelling and imputation of incomplete data sets

Reference 9

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Observation 06d2f495-f680-49aa-9cc9-ca1cb9a3fe5c · outbound

This paper cites A systematic review on imbalanced data challenges in machine learning: Applications and solutions.

Diffusion and Flow Matching Models for Tabular Data: A Survey A systematic review on imbalanced data challenges in machine learning: Applications and solutions

Reference 10

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Source-reported events for the cited work

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Observation 0f7d9a10-048d-45fb-9b6e-fcce36e04847 · outbound

This paper cites On oversampling imbalanced data with deep conditional generative models.

Diffusion and Flow Matching Models for Tabular Data: A Survey On oversampling imbalanced data with deep conditional generative models

Reference 11

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Source-reported events for the cited work

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Observation dbd73200-bfce-4a35-9aeb-17b6e462a8f9 · outbound

This paper cites Generating synthetic data in finance: opportunities, challenges and pitfalls.

Diffusion and Flow Matching Models for Tabular Data: A Survey Generating synthetic data in finance: opportunities, challenges and pitfalls

Reference 12

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Observation 8baca4db-11ad-4780-97bf-f06f5a804c47 · outbound

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

Diffusion and Flow Matching Models for Tabular Data: A Survey Synthetic data generation for tabular health records: A systematic review

Reference 13

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Source-reported events for the cited work

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Observation 4030fcf2-57d0-4f7f-98b8-dc259450452e · outbound

This paper cites Handling missing data with graph representation learning.

Diffusion and Flow Matching Models for Tabular Data: A Survey Handling missing data with graph representation learning

Reference 14

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Source-reported events for the cited work

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Observation e8444910-4dac-4b1b-b8b1-9afcd4ba7e10 · outbound

This paper cites Gain: Missing data imputation using generative adversarial nets.

Diffusion and Flow Matching Models for Tabular Data: A Survey Gain: Missing data imputation using generative adversarial nets

Reference 15

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Source-reported events for the cited work

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Observation 38c15824-883b-4ece-a170-c474d6695a5c · outbound

This paper cites Tabular and latent space synthetic data generation: a literature review.

Diffusion and Flow Matching Models for Tabular Data: A Survey Tabular and latent space synthetic data generation: a literature review

Reference 16

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Source-reported events for the cited work

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Observation 17cfb50f-aaac-4343-afab-27bc9afc5682 · outbound

This paper cites A tutorial on energy-based learning.

Diffusion and Flow Matching Models for Tabular Data: A Survey A tutorial on energy-based learning

Reference 17

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Source-reported events for the cited work

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Observation e3e6e28a-d5e2-43ac-8b13-75352d7fee9f · outbound

This paper cites Auto-Encoding Variational Bayes.

Diffusion and Flow Matching Models for Tabular Data: A Survey Auto-Encoding Variational Bayes

Reference 18

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Source-reported events for the cited work

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Observation 31c7fadd-aa7c-4015-8545-8b98f4d2ec83 · outbound

This paper cites Generative adversarial nets.

Diffusion and Flow Matching Models for Tabular Data: A Survey Generative adversarial nets

Reference 19

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Observation a0855910-702c-43bc-b936-107d460afac3 · outbound

This paper cites Attention is all you need.

Diffusion and Flow Matching Models for Tabular Data: A Survey Attention is all you need

Reference 20

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Source-reported events for the cited work

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Observation 46569d5c-b702-488d-8d51-6c6d45f9d79f · outbound

This paper cites Attention Is All You Need.

Diffusion and Flow Matching Models for Tabular Data: A Survey Attention Is All You Need

Reference 21

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Source-reported events for the cited work

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Observation 12b016df-f048-46fa-b9d7-2e8468758ab7 · outbound

This paper cites Normalizing flows: An introduction and review of current methods.

Diffusion and Flow Matching Models for Tabular Data: A Survey Normalizing flows: An introduction and review of current methods

Reference 22

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Source-reported events for the cited work

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Observation 1be2fc76-2009-42ca-ab1a-af0d1d3097c8 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Diffusion and Flow Matching Models for Tabular Data: A Survey Deep unsupervised learning using nonequilibrium thermodynamics

Reference 23

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Source-reported events for the cited work

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Observation 6b53556b-00b8-49d1-b301-7e68c0ace85a · outbound

This paper cites Catastrophic forgetting and mode collapse in gans.

Diffusion and Flow Matching Models for Tabular Data: A Survey Catastrophic forgetting and mode collapse in gans

Reference 24

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Source-reported events for the cited work

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Observation 575d7944-9c81-4e45-b329-19cd46793ad6 · outbound

This paper cites Diagnosing and enhancing vae models.

Diffusion and Flow Matching Models for Tabular Data: A Survey Diagnosing and enhancing vae models

Reference 25

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Observation e564709a-ab6f-4f64-9a4d-96b1ad132ab1 · outbound

This paper cites Hitchhiker's guide on the relation of Energy-Based Models with other generative models, sampling and statistical physics: a comprehensive review.

Diffusion and Flow Matching Models for Tabular Data: A Survey Hitchhiker's guide on the relation of Energy-Based Models with other generative models, sampling and statistical physics: a comprehensive review

Reference 26

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Observation f5961f04-24b0-4182-9d79-26668f92a46d · outbound

This paper cites Limitations of autoregressive models and their alternatives.

Diffusion and Flow Matching Models for Tabular Data: A Survey Limitations of autoregressive models and their alternatives

Reference 27

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Observation 5c33b854-36cf-4a6c-8095-d5bd3ba5acf6 · outbound

This paper cites Denoising diffusion probabilistic models.

Diffusion and Flow Matching Models for Tabular Data: A Survey Denoising diffusion probabilistic models

Reference 28

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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.

Observation 9f2ad739-0842-4f1d-9fc7-3c8f19c103a0 · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

Diffusion and Flow Matching Models for Tabular Data: A Survey Score-based generative modeling through stochastic differential equations

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.579485Z

Source-reported events for the cited work

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Observation eb0524dd-3d6f-467c-9fc9-5977a32fccce · outbound

This paper cites Wavegrad: Estimating gradients for waveform generation.

Diffusion and Flow Matching Models for Tabular Data: A Survey Wavegrad: Estimating gradients for waveform generation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.584805Z

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Observation 30683e60-508a-4ddb-88af-dc96c895f923 · outbound

This paper cites Diffwave: A versatile diffusion model for audio synthesis.

Diffusion and Flow Matching Models for Tabular Data: A Survey Diffwave: A versatile diffusion model for audio synthesis

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.571005Z

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Observation 820a26ca-13b0-4bf8-9804-b04a4c262660 · outbound

This paper cites Argmax flows and multinomial diffusion: Learning categorical distributions.

Diffusion and Flow Matching Models for Tabular Data: A Survey Argmax flows and multinomial diffusion: Learning categorical distributions

Reference 32

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Observation 730812e0-b39c-47fd-b2a2-e347cabac667 · outbound

This paper cites Structured denoising diffusion models in discrete state-spaces.

Diffusion and Flow Matching Models for Tabular Data: A Survey Structured denoising diffusion models in discrete state-spaces

Reference 33

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Observation 7247bc75-b2ea-45d5-b047-c66ab556fcc9 · outbound

This paper cites A survey on video diffusion models.

Diffusion and Flow Matching Models for Tabular Data: A Survey A survey on video diffusion models

Reference 34

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Observation 330f8133-09f5-4564-b2c4-e872cbc57a2b · outbound

This paper cites Generative diffusion models on graphs: methods and applications.

Diffusion and Flow Matching Models for Tabular Data: A Survey Generative diffusion models on graphs: methods and applications

Reference 35

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Observation a3db2f2b-eb8d-454d-96ef-8980514d66c4 · outbound

This paper cites Stasy: Score-based tabular data synthe- sis.

Diffusion and Flow Matching Models for Tabular Data: A Survey Stasy: Score-based tabular data synthe- sis

Reference 36

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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.

Observation ec50eba1-c76c-49bd-8bbc-ea0d3f76b3d7 · outbound

This paper cites Autodiff: combining auto-encoder and diffusion model for tabular data synthe- sizing.

Diffusion and Flow Matching Models for Tabular Data: A Survey Autodiff: combining auto-encoder and diffusion model for tabular data synthe- sizing

Reference 37

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Source-reported events for the cited work

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Observation 3c256800-c7b3-46ca-bcc3-a2e093498d03 · outbound

This paper cites Codi: Co-evolving contrastive diffusion models for mixed-type tabular synthesis.

Diffusion and Flow Matching Models for Tabular Data: A Survey Codi: Co-evolving contrastive diffusion models for mixed-type tabular synthesis

Reference 38

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Observation 91c7a719-d3e0-48fb-b941-1592bd601700 · outbound

This paper cites Mixed-type tabular data synthesis with score-based diffusion in latent space.

Diffusion and Flow Matching Models for Tabular Data: A Survey Mixed-type tabular data synthesis with score-based diffusion in latent space

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.560701Z

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Observation 51e787f2-0cbd-438e-884d-deeb07d9bd12 · outbound

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

Diffusion and Flow Matching Models for Tabular Data: A Survey Generating and imputing tabular data via diffusion and flow-based gradient-boosted trees

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.555193Z

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Observation ce483fa1-d1f1-4087-83b6-0963800417e4 · outbound

This paper cites Diffusion models: A comprehensive survey of methods and applications.

Diffusion and Flow Matching Models for Tabular Data: A Survey Diffusion models: A comprehensive survey of methods and applications

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.558081Z

Source-reported events for the cited work

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Observation fe18ac2f-2721-4b83-bc3e-995635df62af · outbound

This paper cites A survey on generative diffusion models.

Diffusion and Flow Matching Models for Tabular Data: A Survey A survey on generative diffusion models

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.565394Z

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Observation b05d1e44-ad5f-4c57-a3b2-74c4f4a6ac9c · outbound

This paper cites Diffusion models in vision: A survey.

Diffusion and Flow Matching Models for Tabular Data: A Survey Diffusion models in vision: A survey

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.588259Z

Source-reported events for the cited work

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Observation 207c99f4-2eac-454d-8569-47fa97caeb47 · outbound

This paper cites Diffusion Models in NLP: A Survey.

Diffusion and Flow Matching Models for Tabular Data: A Survey Diffusion Models in NLP: A Survey

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:05:31.225537Z

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

Observation 4f06d377-adba-4db3-8484-fc5c622e8d34 · outbound

This paper cites Diffusion models for time- MANUSCRIPT SUBMITTED TO IEEE FOR POSSIBLE PUBLICATION 22 series applications: a survey.

Diffusion and Flow Matching Models for Tabular Data: A Survey Diffusion models for time- MANUSCRIPT SUBMITTED TO IEEE FOR POSSIBLE PUBLICATION 22 series applications: a survey

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.627636Z

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.

Observation 8519fa26-9eaa-4e24-82f2-d60564c118bb · outbound

This paper cites Challenges and opportunities of generative models on tabular data.

Diffusion and Flow Matching Models for Tabular Data: A Survey Challenges and opportunities of generative models on tabular data

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.351220Z

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.

Observation 324f926c-dcb9-4cfc-9226-b89993bafa50 · outbound

This paper cites Generative models for tabular data: A review.

Diffusion and Flow Matching Models for Tabular Data: A Survey Generative models for tabular data: A review

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.316881Z

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.

Observation 3518b64d-dbfe-4792-904f-188de20f77bd · outbound

This paper cites A comprehensive survey on generative diffusion models for structured data.

Diffusion and Flow Matching Models for Tabular Data: A Survey A comprehensive survey on generative diffusion models for structured data

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.326252Z

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.

Observation 6b2b73c4-d1ef-4d84-a004-3c9e2ba08cdd · outbound

This paper cites An introduction to variational autoencoders.

Diffusion and Flow Matching Models for Tabular Data: A Survey An introduction to variational autoencoders

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.323583Z

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.

Observation e8fa2472-3579-45ed-8673-e3e7745ed224 · outbound

This paper cites Random variables, joint distribution functions, and copulas.

Diffusion and Flow Matching Models for Tabular Data: A Survey Random variables, joint distribution functions, and copulas

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.563028Z

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.

Observation 04455dfa-f642-429a-8da8-5133fb95d5fb · outbound

This paper cites Gaussian mixture models.

Diffusion and Flow Matching Models for Tabular Data: A Survey Gaussian mixture models

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.581976Z

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.

Observation 95780fc5-a2cb-4b01-a86a-5151fefbdc78 · outbound

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

Diffusion and Flow Matching Models for Tabular Data: A Survey Clinical reasoning over tabular data and text with bayesian networks

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.603401Z

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.

Observation 75ebc4a9-6d6a-4ba1-b195-011b6d5e90ba · outbound

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

Diffusion and Flow Matching Models for Tabular Data: A Survey Smote: synthetic minority over-sampling technique

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.291906Z

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.

Observation 53da588b-831d-4b5a-8607-ebb4edded27a · outbound

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

Diffusion and Flow Matching Models for Tabular Data: A Survey Borderline-smote: a new over- sampling method in imbalanced data sets learning

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.542518Z

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.

Observation 76ec320a-7b51-40c3-968f-48a921d00222 · outbound

This paper cites Synthetic minority oversampling using edited displacement-based k-nearest neighbors.

Diffusion and Flow Matching Models for Tabular Data: A Survey Synthetic minority oversampling using edited displacement-based k-nearest neighbors

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.528166Z

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.

Observation 81317a83-d745-4227-9467-28c0efb5cdda · outbound

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

Diffusion and Flow Matching Models for Tabular Data: A Survey Smote-enc: A novel smote-based method to generate synthetic data for nominal and continuous features

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.531946Z

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.

Observation 0bac2ac4-f2fc-4070-89a2-a9e7f6b6b346 · outbound

This paper cites Adasyn: Adaptive synthetic sampling approach for imbalanced learning.

Diffusion and Flow Matching Models for Tabular Data: A Survey Adasyn: Adaptive synthetic sampling approach for imbalanced learning

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.277860Z

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.

Observation a8d454a1-d70c-40ae-bbee-72b268794525 · outbound

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

Diffusion and Flow Matching Models for Tabular Data: A Survey synthpop: Bespoke creation of synthetic data in r

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.411578Z

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.

Observation 9b39edec-3e20-450d-8dd6-a8d1e7a9c43b · outbound

This paper cites Modeling tabular data using conditional gan.

Diffusion and Flow Matching Models for Tabular Data: A Survey Modeling tabular data using conditional gan

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.519654Z

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

Observation 91fda691-7911-4af1-b7a7-8aa1d9967c1b · outbound

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

Diffusion and Flow Matching Models for Tabular Data: A Survey Goggle: Generative modelling for tabular data by learning relational structure

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.251644Z

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.

Observation eb5c70e0-39da-4a84-aea6-71839999162a · outbound

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

Diffusion and Flow Matching Models for Tabular Data: A Survey Ctab-gan: Effective table data synthesizing

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.512059Z

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.

Observation e0fdb7d0-df20-455b-9843-706c4acd7816 · outbound

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

Diffusion and Flow Matching Models for Tabular Data: A Survey Ctab- gan+: Enhancing tabular data synthesis

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.527025Z

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.

Observation 68c9800c-770b-4164-8dd7-607d199827b3 · outbound

This paper cites Large Language Models: A Survey.

Diffusion and Flow Matching Models for Tabular Data: A Survey Large Language Models: A Survey

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-05-25T08:05:31.305524Z

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

Observation b5821ed3-2958-4cf2-838b-bfe283e9089d · outbound

This paper cites Language models are realistic tabular data generators.

Diffusion and Flow Matching Models for Tabular Data: A Survey Language models are realistic tabular data generators

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.495026Z

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.

Observation 39e79b3f-b225-4423-9f0e-1fef930e5283 · outbound

This paper cites GPT-4 Technical Report.

Diffusion and Flow Matching Models for Tabular Data: A Survey GPT-4 Technical Report

Reference 65

Resolution: verified exact; local_arxiv, observed 2026-05-25T08:05:31.323305Z

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.

Observation 584e2de4-fecc-46f5-953a-c85010a223f6 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Diffusion and Flow Matching Models for Tabular Data: A Survey Diffusion models beat gans on image synthesis

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.488670Z

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.

Observation 8260016f-f72e-4deb-981e-b4c46f7aba60 · outbound

This paper cites Sos: Score-based oversampling for tabular data.

Diffusion and Flow Matching Models for Tabular Data: A Survey Sos: Score-based oversampling for tabular data

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.498229Z

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.

Observation ed1e47c6-b5ee-4cab-b745-d91aec768e24 · outbound

This paper cites Large language models (LLMs) on tabular data: Prediction, generation, and understanding - a survey.

Diffusion and Flow Matching Models for Tabular Data: A Survey Large language models (LLMs) on tabular data: Prediction, generation, and understanding - a survey

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.501649Z

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.

Observation 6fee25a0-a16e-4f4a-ab1d-9492cde66b78 · outbound

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

Diffusion and Flow Matching Models for Tabular Data: A Survey Diffusion models for missing value imputation in tabular data

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.552395Z

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.

Observation df9cefc2-28b0-4a97-9c17-d0ead49f7eec · outbound

This paper cites What do we really know about wages? the importance of nonreporting and census imputation.

Diffusion and Flow Matching Models for Tabular Data: A Survey What do we really know about wages? the importance of nonreporting and census imputation

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.476455Z

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.

Observation 3d3f1e3f-3d8b-4660-bf01-26f60d389939 · outbound

This paper cites Strategies for handling missing data in electronic health record derived data.

Diffusion and Flow Matching Models for Tabular Data: A Survey Strategies for handling missing data in electronic health record derived data

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.469467Z

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.

Observation dde1f1df-1851-4292-83c5-5f3beffb2083 · outbound

This paper cites A survey on missing data in machine learning.

Diffusion and Flow Matching Models for Tabular Data: A Survey A survey on missing data in machine learning

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.637137Z

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.

Observation 6a8b744d-4a59-4f52-947c-d1ba15110877 · outbound

This paper cites Inference and missing data.

Diffusion and Flow Matching Models for Tabular Data: A Survey Inference and missing data

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.462602Z

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.

Observation 07181dbb-c3b1-44b8-ad47-cf5f5fbb7ad9 · outbound

This paper cites Tabdiff: a unified diffusion model for multi-modal tabular data generation.

Diffusion and Flow Matching Models for Tabular Data: A Survey Tabdiff: a unified diffusion model for multi-modal tabular data generation

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.459141Z

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.

Observation 5769b4bd-99e2-439b-bd21-63ef66b13894 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

Diffusion and Flow Matching Models for Tabular Data: A Survey Generative modeling by estimating gradients of the data distribution

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.466340Z

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.

Observation 97b47e6f-d871-440f-9a8f-e610c0d481b2 · outbound

This paper cites an unresolved cited work.

Diffusion and Flow Matching Models for Tabular Data: A Survey Unresolved cited work

Reference 76

Resolution: unresolved; raw_fallback, observed 2026-05-25T08:06:44.408371Z

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.

Observation 5e5b60a1-9168-4610-84d9-449b15105f33 · outbound

This paper cites Neural ordinary differential equations.

Diffusion and Flow Matching Models for Tabular Data: A Survey Neural ordinary differential equations

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.482637Z

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.

Observation 404571d9-ab49-44ea-a8f5-7bc53800db06 · outbound

This paper cites Classifier-free diffusion guidance.

Diffusion and Flow Matching Models for Tabular Data: A Survey Classifier-free diffusion guidance

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.442517Z

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.

Observation eeb90d8d-819b-4b54-bf9e-e618ee0e41bc · outbound

This paper cites Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI.

Diffusion and Flow Matching Models for Tabular Data: A Survey Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:05:31.262745Z

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.

Observation 2f2cc0d4-65f6-4e76-b4a1-1d098890fca2 · outbound

This paper cites Missdiff: Training diffusion models on tabular data with missing values.

Diffusion and Flow Matching Models for Tabular Data: A Survey Missdiff: Training diffusion models on tabular data with missing values

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.439201Z

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.

Observation f89878d7-2ee3-408d-ad46-fa84f15f93bf · outbound

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

Diffusion and Flow Matching Models for Tabular Data: A Survey Synthetic health-related lon- gitudinal data with mixed-type variables generated using diffusion models

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.432047Z

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.

Observation cbdfb727-6a24-4564-a553-458ef6e147ce · outbound

This paper cites Findiff: Diffusion models for financial tabular data generation.

Diffusion and Flow Matching Models for Tabular Data: A Survey Findiff: Diffusion models for financial tabular data generation

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.612147Z

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.

Observation 35c6176a-4138-4371-aeee-2c1cf9cfc88a · outbound

This paper cites MedDiff: Generating Electronic Health Records using Accelerated Denoising Diffusion Model.

Diffusion and Flow Matching Models for Tabular Data: A Survey MedDiff: Generating Electronic Health Records using Accelerated Denoising Diffusion Model

Reference 83

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:05:31.331932Z

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.

Observation 3435d251-eed9-45b4-ba57-6ef63314e08c · outbound

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

Diffusion and Flow Matching Models for Tabular Data: A Survey Synthesizing Mixed-type Electronic Health Records using Diffusion Models

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:05:31.248811Z

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.

Observation f516792f-03cf-42ea-9b85-d262a2b60102 · outbound

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

Diffusion and Flow Matching Models for Tabular Data: A Survey A flexible generative model for heterogeneous tabular ehr with missing modality

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.603595Z

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.

Observation 81ea3f9f-30de-4f3a-a3b5-2ce59f1af8fe · outbound

This paper cites Ehrdiff: Exploring realistic ehr synthesis with diffusion models.

Diffusion and Flow Matching Models for Tabular Data: A Survey Ehrdiff: Exploring realistic ehr synthesis with diffusion models

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.615324Z

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.

Observation 6384cda3-a707-47e8-954b-8eb28785f9a5 · outbound

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

Diffusion and Flow Matching Models for Tabular Data: A Survey Entity-based financial tabular data synthesis with diffusion models

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.414930Z

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.

Observation 78b73b95-5f23-41bf-8f8d-a14bc7ba862e · outbound

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

Diffusion and Flow Matching Models for Tabular Data: A Survey Imb-findiff: Conditional diffusion models for class imbalance synthesis of financial tabular data

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.545988Z

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.

Observation f2da396f-6bb9-463b-9767-6045e74730c7 · outbound

This paper cites Guided Discrete Diffusion for Electronic Health Record Generation.

Diffusion and Flow Matching Models for Tabular Data: A Survey Guided Discrete Diffusion for Electronic Health Record Generation

Reference 89

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:05:31.257832Z

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.

Observation 95649191-74ac-453b-b925-759d7277ab7a · outbound

This paper cites Tabunite: Efficient encoding schemes for flow and diffusion tabular generative models.

Diffusion and Flow Matching Models for Tabular Data: A Survey Tabunite: Efficient encoding schemes for flow and diffusion tabular generative models

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.590978Z

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.

Observation 1e77d07d-e750-491f-9a6c-edda0c007991 · outbound

This paper cites Continuous diffusion for mixed-type tabular data.

Diffusion and Flow Matching Models for Tabular Data: A Survey Continuous diffusion for mixed-type tabular data

Reference 91

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:05:31.327825Z

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.

Observation fbd7ed51-1cfe-4cb5-8f08-19a4a7df47e1 · outbound

This paper cites Extracting training data from diffusion models.

Diffusion and Flow Matching Models for Tabular Data: A Survey Extracting training data from diffusion models

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.593852Z

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.

Observation 28c68790-7b72-49c9-8cc8-f38c439e0c31 · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilis- tic models.

Diffusion and Flow Matching Models for Tabular Data: A Survey Repaint: Inpainting using denoising diffusion probabilis- tic models

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.597157Z

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.

Observation ad0f6d7f-923d-460e-af72-0f1f573e2963 · outbound

This paper cites Multilayer feedforward networks are universal approximators.

Diffusion and Flow Matching Models for Tabular Data: A Survey Multilayer feedforward networks are universal approximators

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.642513Z

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.

Observation f107112b-f19c-4a00-af2d-8fedcf9563cf · outbound

This paper cites Xgboost: A scalable tree boosting system.

Diffusion and Flow Matching Models for Tabular Data: A Survey Xgboost: A scalable tree boosting system

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.649201Z

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.

Observation d4029dc8-be87-430b-a88d-3d52de168620 · outbound

This paper cites Encoding categorical data: Is there yet anything 'hotter' than one-hot encoding?.

Diffusion and Flow Matching Models for Tabular Data: A Survey Encoding categorical data: Is there yet anything 'hotter' than one-hot encoding?

Reference 96

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:05:31.244034Z

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.

Observation 0427fe19-06c8-451e-aaf4-89f79fe8a35c · outbound

This paper cites On the challenges of learning with inference networks on sparse, high-dimensional data.

Diffusion and Flow Matching Models for Tabular Data: A Survey On the challenges of learning with inference networks on sparse, high-dimensional data

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.652877Z

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.

Observation 177bcc2e-c73f-4934-a3a1-542ca134d46a · outbound

This paper cites Analog bits: Generating discrete data using diffusion models with self-conditioning.

Diffusion and Flow Matching Models for Tabular Data: A Survey Analog bits: Generating discrete data using diffusion models with self-conditioning

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.421854Z

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.

Observation e6302b55-57c8-41ca-92bf-1c248a30f164 · outbound

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

Diffusion and Flow Matching Models for Tabular Data: A Survey Vaem: a deep generative model for heterogeneous mixed type data

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.408978Z

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.

Observation 0ca40ebb-221e-4422-88f8-5ccd3db108c6 · outbound

This paper cites Estimation of non-normalized statistical models by score matching.

Diffusion and Flow Matching Models for Tabular Data: A Survey Estimation of non-normalized statistical models by score matching

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:06:44.606863Z

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.

Pith citing papers

Observation 6a1ba609-6bcd-47fa-b5e9-9a94121707e6 · inbound

Beyond Statistical Co-occurrence: Unlocking Intrinsic Semantics for Tabular Data Clustering cites this paper.

Beyond Statistical Co-occurrence: Unlocking Intrinsic Semantics for Tabular Data Clustering Diffusion and Flow Matching Models for Tabular Data: A Survey

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-25T03:01:55.395157Z

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.

Observation 6019a51a-ad61-47b8-ae45-003184910715 · inbound

Imputation Meets Clustering: Exploiting Latent Subgroup Structure for Missing Data Recovery cites this paper.

Imputation Meets Clustering: Exploiting Latent Subgroup Structure for Missing Data Recovery Diffusion and Flow Matching Models for Tabular Data: A Survey

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T22:56:37.652341Z

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.

Observation 6c923376-69c5-404d-bd59-98ec71b1739f · inbound

Diffusion Models in Finance: A Survey cites this paper.

Diffusion Models in Finance: A Survey Diffusion and Flow Matching Models for Tabular Data: A Survey

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T00:07:52.980618Z

Source-reported events for the cited work

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