Paper Citation Record · LEDGER

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations

As of 16 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 2 inbound Pith citation observations for arXiv:2411.10982.

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

pith.paper-citation-record.v1
2411.10982 v2

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:10:16.595911Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T15:48:04.143000Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T00:54:48.939984Z

Reference resolution

51 of 51 outbound references displayed

verified exact2
verified fuzzy23
unresolved26
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malformed identifier0
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External citation measurements

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Outbound references

Observation a661c791-6100-44b1-ada5-65787668a8af · outbound

This paper cites an unresolved cited work.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Unresolved cited work

Reference 1

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Observation a0ef768f-7404-4b72-89ce-ebe3db5437ac · outbound

This paper cites an unresolved cited work.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:10:16.922883Z

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Observation 6a835ffb-1a24-4a84-8412-40285128fc7f · outbound

This paper cites an unresolved cited work.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Unresolved cited work

Reference 3

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Observation e5524e00-adb7-46d1-ba31-c7aacd295110 · outbound

This paper cites Tishby and N.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Tishby and N

Reference 4

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Observation 27a5147b-b4a5-49ff-b953-ea66bfc82901 · outbound

This paper cites We mainly re- visit two types of exact distribution modeling method: autoregressive models and flow-based methods[2].

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations We mainly re- visit two types of exact distribution modeling method: autoregressive models and flow-based methods[2]

Reference 5

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Observation 954aa74f-29be-4175-a30e-4908c11b16a5 · outbound

This paper cites ap- proximate.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations ap- proximate

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:10:16.908000Z

Source-reported events for the cited work

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Observation b49d4bf2-acbf-4d9f-9e53-bed6f4468ba3 · outbound

This paper cites As expected, the 3D point clouds are linearly projected on a plane 7 FIG.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations As expected, the 3D point clouds are linearly projected on a plane 7 FIG

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:10:16.901531Z

Source-reported events for the cited work

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Observation 73b6cbb9-7f23-4fb1-b2b8-39faa13b66c9 · outbound

This paper cites The XGboost generator has a depth 2 with 200 boosting rounds to limit three-way variable interaction and over- fitting.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations The XGboost generator has a depth 2 with 200 boosting rounds to limit three-way variable interaction and over- fitting

Reference 8

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Observation ab983434-b9a0-4315-b792-51456a571b82 · outbound

This paper cites Lower”, “Middle.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Lower”, “Middle

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:10:16.889607Z

Source-reported events for the cited work

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Observation 24cbb053-8987-4e2e-8002-f27e8e4e72f6 · outbound

This paper cites Borisov, T.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Borisov, T

Reference 10

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Source-reported events for the cited work

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Observation 9442133a-9bb7-499e-9a4d-c988f4765fc5 · outbound

This paper cites an unresolved cited work.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Unresolved cited work

Reference 11

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Observation 3b086c2f-0f3c-47e0-9289-e6557c546880 · outbound

This paper cites Achille and S.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Achille and S

Reference 12

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Observation b9ef49f8-5618-49fd-9c30-d09743ed10d9 · outbound

This paper cites Van der Maaten and G.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Van der Maaten and G

Reference 13

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Source-reported events for the cited work

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Observation 82cdc8eb-7833-4b52-8d31-37500a7779bc · outbound

This paper cites an unresolved cited work.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:10:16.858661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0c5f0323-ba98-4072-b7da-3edd0a6b4716 · outbound

This paper cites an unresolved cited work.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Unresolved cited work

Reference 15

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Observation 495a29c2-5fae-4c15-8adc-c7aadd23d6fb · outbound

This paper cites an unresolved cited work.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Unresolved cited work

Reference 16

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Source-reported events for the cited work

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Observation a09c2a98-36ad-4dc2-9187-12511afe277d · outbound

This paper cites Belkin and P.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Belkin and P

Reference 17

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Observation 8f812c7f-f184-48d2-b799-e02d05ff27d0 · outbound

This paper cites Silva and J.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Silva and J

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:10:16.828968Z

Source-reported events for the cited work

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Observation b0224701-50df-4378-be02-e77670a4c8a0 · outbound

This paper cites 2: Interpretable Minimal Compression: F or eachcluster, ap- ply sparsePCA to learn a linear subspace.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations 2: Interpretable Minimal Compression: F or eachcluster, ap- ply sparsePCA to learn a linear subspace

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:10:16.940938Z

Source-reported events for the cited work

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Observation 10b9ae73-2054-4d47-bd98-b85e25bb963b · outbound

This paper cites Huang, Y.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Huang, Y

Reference 20

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Source-reported events for the cited work

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Observation 2769f5b1-1166-4b5b-9dc1-f077cf5980e8 · outbound

This paper cites Multidimensional Scaling, Sammon Mapping, and Isomap: Tutorial and Survey.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Multidimensional Scaling, Sammon Mapping, and Isomap: Tutorial and Survey

Reference 21

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Source-reported events for the cited work

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Observation dd3510b2-8d8e-4aca-b7bb-6628e41c6d28 · outbound

This paper cites Fefferman, S.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Fefferman, S

Reference 22

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Source-reported events for the cited work

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Observation 25e5c6ad-523f-4743-927e-c60255a234d9 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 23

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Source-reported events for the cited work

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Observation 8dec4a50-503c-4e0c-96e6-8cfb85446bf3 · outbound

This paper cites Auto-Encoding Variational Bayes.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Auto-Encoding Variational Bayes

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T19:10:16.537255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca96b958-85af-4f5f-87f0-b9dafe660ce1 · outbound

This paper cites an unresolved cited work.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:10:16.805630Z

Source-reported events for the cited work

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Observation cd66ccbc-574d-4883-8361-31c1d3be3f3e · outbound

This paper cites d’Aspremont, L.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations d’Aspremont, L

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:10:16.798569Z

Source-reported events for the cited work

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Observation c1a6d034-1251-4570-924a-25bb2e6bcd61 · outbound

This paper cites Chen and C.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Chen and C

Reference 27

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Source-reported events for the cited work

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Observation 1c7d5d4c-af1c-4ab8-8053-ec7d4e2f9a53 · outbound

This paper cites TabR: Tabular Deep Learning Meets Nearest Neighbors in 2023.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations TabR: Tabular Deep Learning Meets Nearest Neighbors in 2023

Reference 28

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Source-reported events for the cited work

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Observation 87a897f2-24ac-4669-998a-f263cec7a00d · outbound

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Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Rezende and S

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:10:16.785449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5a29e9d9-cabc-4be6-b9e9-a749aef7c917 · outbound

This paper cites Copula Flows for Synthetic Data Generation.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Copula Flows for Synthetic Data Generation

Reference 30

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Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Brown, B

Reference 31

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Observation 47ec21a7-e965-44a7-beb3-890ff518bba4 · outbound

This paper cites Scaling Laws for Neural Language Models.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Scaling Laws for Neural Language Models

Reference 32

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Observation 5e4810b4-7a42-47b8-b831-57e7967bf87e · outbound

This paper cites Papamakarios, T.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Papamakarios, T

Reference 33

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Observation 272886b1-d0fb-405e-b458-564a83084211 · outbound

This paper cites Hochreiter and J.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Hochreiter and J

Reference 34

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Source-reported events for the cited work

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This paper cites A Convolutional Neural Network for Modelling Sentences.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations A Convolutional Neural Network for Modelling Sentences

Reference 35

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Source-reported events for the cited work

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Observation 86de5457-114b-4f1f-b439-3b79f71cc79b · outbound

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Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Marino, N

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:10:16.761337Z

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Observation b14de8a4-8c8b-4098-9539-7faee471b074 · outbound

This paper cites Germain, K.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Germain, K

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 36ed821a-f8bd-4a71-9ea3-fbc070f1ad3d · outbound

This paper cites From Variational to Deterministic Autoencoders.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations From Variational to Deterministic Autoencoders

Reference 38

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Source-reported events for the cited work

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Observation 349f8c36-4604-4c30-b0f9-8d20707f5eb9 · outbound

This paper cites Improving the Reconstruction of Disentangled Representation Learners via Multi-Stage Modeling.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Improving the Reconstruction of Disentangled Representation Learners via Multi-Stage Modeling

Reference 39

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5468b97f-7acf-4eb1-a902-fede1f53584b · outbound

This paper cites an unresolved cited work.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:10:16.747943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c83611a1-f624-47b9-983b-123a84c41b34 · outbound

This paper cites Ramdas, N.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Ramdas, N

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:10:16.741959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d84d2772-3821-4b8c-bcb2-66e059192f41 · outbound

This paper cites On the 1-Wasserstein Distance between Location-Scale Distributions and the Effect of Differential Privacy.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations On the 1-Wasserstein Distance between Location-Scale Distributions and the Effect of Differential Privacy

Reference 42

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Source-reported events for the cited work

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Observation 349f7bcc-5f42-45bb-a4d2-38be1a3ba5c0 · outbound

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Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Unresolved cited work

Reference 43

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Source-reported events for the cited work

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Observation 6fb95a82-1f9e-443d-aaba-9e23ed259cb6 · outbound

This paper cites Dowson and B.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Dowson and B

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:10:16.730078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3a7c8fbd-9b75-443d-aa2f-58f3a4360578 · outbound

This paper cites A Note on the Inception Score.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations A Note on the Inception Score

Reference 45

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Source-reported events for the cited work

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Observation 556d76ec-6fda-4a4b-b427-c860d38fc327 · outbound

This paper cites an unresolved cited work.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Unresolved cited work

Reference 46

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Source-reported events for the cited work

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Observation 4c8d93d2-bcea-4256-a2a0-928eff02ebfc · outbound

This paper cites Higgins, L.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Higgins, L

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:10:16.717521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 679e8b75-214d-4b3b-9b60-c18a3c1f8440 · outbound

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Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:10:16.710307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e7724c81-1fef-4c9b-b1de-168cc1280fc3 · outbound

This paper cites an unresolved cited work.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:10:16.702425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7cb1a36c-72a7-4b37-b700-1a0683026a72 · outbound

This paper cites an unresolved cited work.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Unresolved cited work

Reference 50

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation db928a8f-11b5-452d-9708-bbedd0366bb2 · outbound

This paper cites an unresolved cited work.

Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:10:16.687748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

Observation 3718b18e-32b7-4811-a07c-456da7433826 · inbound

Generative Augmentation of Imbalanced Flight Records for Flight Diversion Prediction: A Multi-objective Optimisation Framework cites this paper.

Generative Augmentation of Imbalanced Flight Records for Flight Diversion Prediction: A Multi-objective Optimisation Framework Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations

Reference 410

Resolution: unresolved; no resolver link, observed 2026-08-02T15:48:04.143000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf09f312-438d-4fbe-aa8c-ee9b248c3461 · inbound

Synthetic Flight Data Generation Using Generative Models cites this paper.

Synthetic Flight Data Generation Using Generative Models Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:54:48.941659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.