Paper Citation Record · LEDGER

Language Models are Realistic Tabular Data Generators

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 inbound Pith citation observations for arXiv:2210.06280.

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

pith.paper-citation-record.v1
2210.06280 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 29 of 29 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:40:00.626900Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:58:57.943567Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a5e86a8a-e521-4f07-ac7d-bdd7a8fc7473 · inbound

Creating Artificial Students that Never Existed: Leveraging Large Language Models and CTGANs for Synthetic Data Generation cites this paper.

Creating Artificial Students that Never Existed: Leveraging Large Language Models and CTGANs for Synthetic Data Generation Language Models are Realistic Tabular Data Generators

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:05:28.007816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e8603b13-45e3-40a8-9f62-32360c376c0a · inbound

Evaluating Inter-Column Logical Relationships in Synthetic Tabular Data Generation cites this paper.

Evaluating Inter-Column Logical Relationships in Synthetic Tabular Data Generation Language Models are Realistic Tabular Data Generators

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:15:22.821180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7eea258e-ae71-437a-83d1-4b935cbb7e2f · inbound

LLMSynthor: Macro-Aligned Micro-Records Synthesis with Large Language Models cites this paper.

LLMSynthor: Macro-Aligned Micro-Records Synthesis with Large Language Models Language Models are Realistic Tabular Data Generators

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T15:40:00.626900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55f9830b-dfa7-4d21-8f13-fa46de9043ae · inbound

The Prompt is Mightier than the Example cites this paper.

The Prompt is Mightier than the Example Language Models are Realistic Tabular Data Generators

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:09.774049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45d5f491-44c9-43cf-a3fa-5123bf39a4ca · inbound

Does Prompt Design Impact Quality of Data Imputation by LLMs? cites this paper.

Does Prompt Design Impact Quality of Data Imputation by LLMs? Language Models are Realistic Tabular Data Generators

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T10:50:50.077250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdb2f15d-e0d9-4589-a18b-5728699c9709 · inbound

Synthetic Tabular Data: Methods, Attacks and Defenses cites this paper.

Synthetic Tabular Data: Methods, Attacks and Defenses Language Models are Realistic Tabular Data Generators

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T06:06:20.817056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d416ee76-39bb-48d0-a9ee-830931e6bff3 · inbound

Automatic Demonstration Selection for LLM-based Tabular Data Classification cites this paper.

Automatic Demonstration Selection for LLM-based Tabular Data Classification Language Models are Realistic Tabular Data Generators

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T22:52:44.785769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f2db700-692b-483a-a5ee-f2ba72ec2510 · inbound

LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes cites this paper.

LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Language Models are Realistic Tabular Data Generators

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T19:46:42.138257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3d87345-1908-444c-890f-66a36628f9d5 · inbound

Synthetic Tabular Data Generation: A Comparative Survey for Modern Techniques cites this paper.

Synthetic Tabular Data Generation: A Comparative Survey for Modern Techniques Language Models are Realistic Tabular Data Generators

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T17:12:55.830748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs cites this paper.

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 860cb0de-8298-4042-9ad2-f6248ad280c4 · inbound

Tab-MIA: A Benchmark Dataset for Membership Inference Attacks on Tabular Data in LLMs cites this paper.

Tab-MIA: A Benchmark Dataset for Membership Inference Attacks on Tabular Data in LLMs Language Models are Realistic Tabular Data Generators

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T14:58:05.260401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b00bed98-18b0-453d-84be-feae0156aac7 · inbound

Accept or Deny? Evaluating LLM Fairness and Performance in Loan Approval across Table-to-Text Serialization Approaches cites this paper.

Accept or Deny? Evaluating LLM Fairness and Performance in Loan Approval across Table-to-Text Serialization Approaches Language Models are Realistic Tabular Data Generators

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T14:21:45.474882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1396e9d5-2d71-4c0a-ba7d-91b3b105e94e · inbound

Meta-learning ecological priors from large language models explains human learning and decision making cites this paper.

Meta-learning ecological priors from large language models explains human learning and decision making Language Models are Realistic Tabular Data Generators

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T14:46:34.721518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa5d25b6-188b-4a48-bd0d-2c1c5caeecf4 · inbound

TAGAL: Tabular Data Generation using Agentic LLM Methods cites this paper.

TAGAL: Tabular Data Generation using Agentic LLM Methods Language Models are Realistic Tabular Data Generators

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:22.430718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9d5fe93-e36c-48d5-8151-9d56ea30127c · inbound

Ensembling Membership Inference Attacks Against Tabular Generative Models cites this paper.

Ensembling Membership Inference Attacks Against Tabular Generative Models Language Models are Realistic Tabular Data Generators

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T11:32:55.983111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b4b893d-6ee0-4f10-8240-41d334798fef · inbound

When Tables Leak: Attacking String Memorization in LLM-Based Tabular Data Generation cites this paper.

When Tables Leak: Attacking String Memorization in LLM-Based Tabular Data Generation Language Models are Realistic Tabular Data Generators

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-16T23:48:41.864964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2a816744-71a5-4741-af54-8d72c4a8eaa8 · inbound

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

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data Language Models are Realistic Tabular Data Generators

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T08:15:13.774372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 198e1598-1c49-43c5-a211-6ea1b453d191 · inbound

AnomalyVFM -- Transforming Vision Foundation Models into Zero-Shot Anomaly Detectors cites this paper.

AnomalyVFM -- Transforming Vision Foundation Models into Zero-Shot Anomaly Detectors Language Models are Realistic Tabular Data Generators

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:47:45.453001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cca0ce04-d377-4ab8-b716-aa4b4ba21b18 · inbound

From Noise to Order: Learning to Rank via Denoising Diffusion cites this paper.

From Noise to Order: Learning to Rank via Denoising Diffusion Language Models are Realistic Tabular Data Generators

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T00:10:45.622152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07c17369-5c35-4734-bf57-c6b1a7fda7c6 · inbound

Self-Improving Tabular Language Models via Iterative Reward-Guided Post-Training cites this paper.

Self-Improving Tabular Language Models via Iterative Reward-Guided Post-Training Language Models are Realistic Tabular Data Generators

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:46:04.005475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ef3038b3-3e64-466c-9f1e-77b93e7c8776 · inbound

The Power of Order: Fooling LLMs with Adversarial Table Permutations cites this paper.

The Power of Order: Fooling LLMs with Adversarial Table Permutations Language Models are Realistic Tabular Data Generators

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:36:06.373211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8245051c-6c43-45ec-8896-817d2a1ceb6c · inbound

The Power of Order: Fooling LLMs with Adversarial Table Permutations cites this paper.

The Power of Order: Fooling LLMs with Adversarial Table Permutations Language Models are Realistic Tabular Data Generators

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:26:16.582448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 54b079e2-ebd9-4cd5-91da-5b44db407ae4 · inbound

Breaking the Quality-Privacy Tradeoff in Tabular Data Generation via In-Context Learning cites this paper.

Breaking the Quality-Privacy Tradeoff in Tabular Data Generation via In-Context Learning Language Models are Realistic Tabular Data Generators

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:25:45.740589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bc708191-d6dc-4706-9ff8-1939b023ca87 · inbound

LLM-Driven Performance-Space Augmentation for Meta-Learning-Based Algorithm Selection cites this paper.

LLM-Driven Performance-Space Augmentation for Meta-Learning-Based Algorithm Selection Language Models are Realistic Tabular Data Generators

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:06:36.751436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 89979e99-2ce0-4f8a-9cef-5d6da19a1709 · inbound

Concordia: Self-Improving Synthetic Tables for Federated LLMs cites this paper.

Concordia: Self-Improving Synthetic Tables for Federated LLMs Language Models are Realistic Tabular Data Generators

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:16:27.611678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d76242ae-869d-4e66-b080-378097e83ebb · inbound

Concordia: Self-Improving Synthetic Tables for Federated LLMs cites this paper.

Concordia: Self-Improving Synthetic Tables for Federated LLMs Language Models are Realistic Tabular Data Generators

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:23:47.865667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ba801b89-df7c-4f3b-838e-9f3d8fcba110 · inbound

Categorical Prior Lock-in: Why In-Context Learning Fails for Structured Data cites this paper.

Categorical Prior Lock-in: Why In-Context Learning Fails for Structured Data Language Models are Realistic Tabular Data Generators

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:07:56.182665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c7206674-345c-4048-baa8-6ffb09d183bb · inbound

PSyGenTAB: A Privacy-Preserving Framework for Synthetic Clinical Tabular Data Generation via Constrained Optimization cites this paper.

PSyGenTAB: A Privacy-Preserving Framework for Synthetic Clinical Tabular Data Generation via Constrained Optimization Language Models are Realistic Tabular Data Generators

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:58:57.945809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 687d6087-fa36-46ae-857d-e440169a8214 · inbound

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents cites this paper.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Language Models are Realistic Tabular Data Generators

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:34.480982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.