Paper Citation Record · LEDGER

FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs

As of 15 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 2 inbound Pith citation observations for arXiv:2507.15839.

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

pith.paper-citation-record.v1
2507.15839 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:27:16.063038Z

measured 24 of 24 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 2026-08-04T19:14:36.119264Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T22:27:26.253320Z

Reference resolution

22 of 22 outbound references displayed

verified exact1
verified fuzzy11
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f5c66ed4-2dd8-4eb3-8abe-9a5530982a9b · outbound

This paper cites Geometric dataset distances via optimal transport.Advances in Neural Information Processing Systems, 33:21428–21439, 2020.

FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs Geometric dataset distances via optimal transport.Advances in Neural Information Processing Systems, 33:21428–21439, 2020

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:27:16.235844Z

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 189340ac-502a-4102-9814-b2dd7dd538eb · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs On the Opportunities and Risks of Foundation Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T15:27:16.014797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47ebc4f0-ce5b-4f8c-97a6-1625b353953b · outbound

This paper cites Language Models are Realistic Tabular Data Generators.

FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs Language Models are Realistic Tabular Data Generators

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T15:27:16.017672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd347e56-d179-4312-b9a4-1a721477534a · outbound

This paper cites Language models are few-shot learners.

FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs Language models are few-shot learners

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T15:27:16.020532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a3b108a-438b-4ca4-a805-a20cc8690baf · outbound

This paper cites Evaluating Large Language Models Trained on Code.

FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs Evaluating Large Language Models Trained on Code

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T15:27:16.023027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 582247cd-7d02-4300-ac69-429c95643d5c · outbound

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

FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs Generating multi-label discrete patient records using generative adversarial networks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:27:16.222925Z

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 9c5e1833-5e71-4038-a33a-9a4b286eef2c · outbound

This paper cites Faker, n.d.

FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs Faker, n.d

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:27:16.215428Z

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 510b3035-d60e-424d-a087-c91780fef745 · outbound

This paper cites Openfema data sets, 2025.

FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs Openfema data sets, 2025

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:27:16.207811Z

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 39f525bf-d756-4516-b147-c0c02696d519 · outbound

This paper cites Name generator, 2025.

FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs Name generator, 2025

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:27:16.200442Z

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 b5ce9250-02fb-41e2-b315-7ff75ade22e3 · outbound

This paper cites Generative adversarial networks.

FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs Generative adversarial networks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:27:16.192828Z

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 8d669bfb-5e19-47b4-81c6-d95cca2c3e72 · outbound

This paper cites Generative AI for Synthetic Data Generation: Methods, Challenges and the Future.

FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs Generative AI for Synthetic Data Generation: Methods, Challenges and the Future

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T15:27:16.037597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3afa05b-9b01-42a4-b3fc-5ec83c7a7d97 · outbound

This paper cites Enhancing Clinical Efficiency through LLM: Discharge Note Generation for Cardiac Patients.

FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs Enhancing Clinical Efficiency through LLM: Discharge Note Generation for Cardiac Patients

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T15:27:16.040197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 178dac75-ffd1-4885-862c-079217a3902e · outbound

This paper cites Auto-encoding variational bayes, 2013.

FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs Auto-encoding variational bayes, 2013

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T15:27:16.042680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 656e54f8-49d0-43f1-a4c5-ab1e1a5cba5e · outbound

This paper cites Medsyn: Llm-based synthetic medical text generation framework.

FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs Medsyn: Llm-based synthetic medical text generation framework

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:27:16.180858Z

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 5c40feb9-ab0d-4b11-85ad-3f1b6b76e043 · outbound

This paper cites Transforming dental diagnostics with arti- ficial intelligence: advanced integration of chatgpt and large language models for patient care.

FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs Transforming dental diagnostics with arti- ficial intelligence: advanced integration of chatgpt and large language models for patient care

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:27:16.173514Z

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 a6ca0328-b14a-4e09-98cc-cd299f711c6a · outbound

This paper cites The synthetic data vault.

FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs The synthetic data vault

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:27:16.165939Z

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 28eae8b7-864c-4238-8193-a82e93bce481 · outbound

This paper cites Language models are unsupervised multitask learners.

FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs Language models are unsupervised multitask learners

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:27:16.158662Z

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 a3a2fedf-5273-4c26-99be-516598c7dd3c · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T15:27:16.053468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d43efb75-1c9d-434a-80f9-25c58bf05c5f · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T15:27:16.055674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68586a5d-58f0-4d7a-b69c-2d43d0d9999b · outbound

This paper cites A Hybrid Convolutional Variational Autoencoder for Text Generation.

FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs A Hybrid Convolutional Variational Autoencoder for Text Generation

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:27:16.095780Z

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 f27cbe1d-1ee4-4a3c-8df4-3f41fbd91276 · outbound

This paper cites IterGen: Iterative Semantic-aware Structured LLM Generation with Backtracking.

FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs IterGen: Iterative Semantic-aware Structured LLM Generation with Backtracking

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T15:27:16.060699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0c10f86-90e2-4c4b-aec5-0d0d3ff24a90 · outbound

This paper cites Large language model as attributed training data generator: A tale of diversity and bias.

FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs Large language model as attributed training data generator: A tale of diversity and bias

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:27:16.146684Z

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 427ddbf5-1063-44fa-be97-d5beadcf1e59 · inbound

Declarative Outcome-Conformant Synthesis: Exact, Closed-Form Specification Satisfaction and a Conformance Benchmark cites this paper.

Declarative Outcome-Conformant Synthesis: Exact, Closed-Form Specification Satisfaction and a Conformance Benchmark FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:27:26.254947Z

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 ed50973c-4a97-4cd1-8fb1-c0d6d18a04e9 · 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 FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T19:14:36.119264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.