Paper Citation Record · LEDGER

A Note on Statistically Accurate Tabular Data Generation Using Large Language Models

As of 18 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2505.02659.

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

pith.paper-citation-record.v1
2505.02659 v2

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:49:59.175800Z

measured 17 of 17 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

verified exact3
verified fuzzy4
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 131b4517-6d98-400d-83c9-663cfa116193 · outbound

This paper cites Why LLMs Are Bad at Synthetic Table Generation (and what to do about it).

A Note on Statistically Accurate Tabular Data Generation Using Large Language Models Why LLMs Are Bad at Synthetic Table Generation (and what to do about it)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:58.998966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites A Comprehensive Survey of Synthetic Tabular Data Generation.

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

Reference 2

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b3eb172-c919-431a-aca2-31781f486a43 · outbound

This paper cites A Survey of Large Language Models.

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

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:59.017355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a84d7956-2087-4bb6-b23a-188e74cd9bff · outbound

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

A Note on Statistically Accurate Tabular Data Generation Using Large Language Models Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:59.033062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5198ff9d-e2be-485e-98a4-da2bed16b0e4 · outbound

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

A Note on Statistically Accurate Tabular Data Generation Using Large Language Models TabuLa: Harnessing Language Models for Tabular Data Synthesis

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:59.052461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ea2da31-6594-4703-ad7e-d9da72a9af8a · outbound

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

A Note on Statistically Accurate Tabular Data Generation Using Large Language Models AIGT: AI Generative Table Based on Prompt

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-16T00:49:59.516700Z

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 9ed48562-7065-435b-9ed5-076d05e22698 · outbound

This paper cites Generating Tables from the Parametric Knowledge of Language Models.

A Note on Statistically Accurate Tabular Data Generation Using Large Language Models Generating Tables from the Parametric Knowledge of Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:59.075938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71f461da-3d31-4b79-a62c-7152391076f2 · outbound

This paper cites Modeling tabular data using conditional gan.

A Note on Statistically Accurate Tabular Data Generation Using Large Language Models Modeling tabular data using conditional gan

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:49:59.801143Z

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 2fdb8cc3-ff2a-4f61-9d59-3e8625f3892b · outbound

This paper cites Data synthesis based on generative adversarial networks.

A Note on Statistically Accurate Tabular Data Generation Using Large Language Models Data synthesis based on generative adversarial networks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:49:59.771326Z

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 3332f04d-cb59-4ea3-be29-3ff7b06af399 · outbound

This paper cites Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs.

A Note on Statistically Accurate Tabular Data Generation Using Large Language Models Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:59.103278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f9dd017-03e2-4733-bed5-b68ca98204e6 · outbound

This paper cites CorrGAN: Sampling Realistic Financial Correlation Matrices Using Generative Adversarial Networks.

A Note on Statistically Accurate Tabular Data Generation Using Large Language Models CorrGAN: Sampling Realistic Financial Correlation Matrices Using Generative Adversarial Networks

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-16T00:49:59.408593Z

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 1eefbf9d-3334-4613-ac36-effbfca6d6f9 · outbound

This paper cites TabularARGN: A Flexible and Efficient Auto-Regressive Framework for Generating High-Fidelity Synthetic Data.

A Note on Statistically Accurate Tabular Data Generation Using Large Language Models TabularARGN: A Flexible and Efficient Auto-Regressive Framework for Generating High-Fidelity Synthetic Data

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:59.127349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd928dd1-e4ed-4f94-ab4a-122e5f6cf251 · outbound

This paper cites Language models are realistic tabular data generators.

A Note on Statistically Accurate Tabular Data Generation Using Large Language Models Language models are realistic tabular data generators

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:49:59.738455Z

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 7f07ef80-7b57-4ab0-ae11-13ce32f401cb · outbound

This paper cites GReaTER: Generate Realistic Tabular data after data Enhancement and Reduction.

A Note on Statistically Accurate Tabular Data Generation Using Large Language Models GReaTER: Generate Realistic Tabular data after data Enhancement and Reduction

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-16T00:49:59.332228Z

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 548a2139-a06e-4efe-9fa6-d85395257db7 · outbound

This paper cites LLM-TabLogic: Preserving Inter-Column Logical Relationships in Synthetic Tabular Data via Prompt-Guided Latent Diffusion.

A Note on Statistically Accurate Tabular Data Generation Using Large Language Models LLM-TabLogic: Preserving Inter-Column Logical Relationships in Synthetic Tabular Data via Prompt-Guided Latent Diffusion

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:59.159403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12266270-5f0f-4e53-a4c3-90a9ac57da3a · outbound

This paper cites EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models.

A Note on Statistically Accurate Tabular Data Generation Using Large Language Models EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:59.166406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b95f1687-69a1-4f37-afc4-fb315d6f27cb · outbound

This paper cites California’s population, 2023.

A Note on Statistically Accurate Tabular Data Generation Using Large Language Models California’s population, 2023

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:49:59.709780Z

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

No inbound Pith citation observations are available.