Pith. sign in

Paper Citation Record · LEDGER

A Comprehensive Survey of Synthetic Tabular Data Generation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2504.16506.

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

pith.paper-citation-record.v1
2504.16506 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:14:36.297328Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T15:45:04.707887Z

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 57b2861c-cbcb-415b-a9fd-54d5176d2f6d · inbound

Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space cites this paper.

Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space A Comprehensive Survey of Synthetic Tabular Data Generation

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:42:33.202684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T04:41:50.959730Z digest=sha256:14f693eef2f5c259c1efd0f60640ee17ff25ef4ab9c38b07b35bec24acd8ddb2

Observation 1ed005ea-72bd-40d2-ba3e-4a4b8cd0fb40 · 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 A Comprehensive Survey of Synthetic Tabular Data Generation

Reference 196

Resolution
unresolved
no resolver link, observed 2026-08-03T08:15:30.514501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T08:15:30.514501Z digest=sha256:dd4523fdff4f9d0e0a4886a1113dd686aabbafa1325d69b9080cf21765ef45fd

Observation 086a616d-835b-4088-9617-9a96cfcf234e · inbound

Autoregressive Synthesis of Sparse and Semi-Structured Mixed-Type Data cites this paper.

Autoregressive Synthesis of Sparse and Semi-Structured Mixed-Type Data A Comprehensive Survey of Synthetic Tabular Data Generation

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-15T18:16:27.088066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T18:14:17.585458Z digest=sha256:3eca7fe75be1d9be6f5b6cb7da7072f9b2746fe852000ccd5f4e978b11f1a5df

Observation adde8d86-a85b-4338-bb94-6049e34a8832 · inbound

Enhancing Tabular Anomaly Detection via Pseudo-Label-Guided Generation cites this paper.

Enhancing Tabular Anomaly Detection via Pseudo-Label-Guided Generation A Comprehensive Survey of Synthetic Tabular Data Generation

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:16:05.412226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T03:58:41.622208Z digest=sha256:c3e7318411748740ee50525f1a748c02dcd37b9dc8e0474e48e32421c6354b7a

Observation d83a6de3-4043-4b5c-82a5-e820ff6dfa2b · inbound

SAGE: Sparse Adaptive Guidance for Dependency-Aware Tabular Data Generation cites this paper.

SAGE: Sparse Adaptive Guidance for Dependency-Aware Tabular Data Generation A Comprehensive Survey of Synthetic Tabular Data Generation

Reference 2

Resolution
malformed identifier
arxiv_id, observed 2026-05-11T21:46:24.921536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T04:29:41.279858Z digest=sha256:619e54015e61be4fc430c3c5ffebb9a21238568c4b792eff94bcc5fbf34d73e1

Observation df1c4480-e56e-48a0-8010-a10862853283 · inbound

Generative AI-Based Monte Carlo Simulation for Method Evaluation Using Synthetic Multilevel Data cites this paper.

Generative AI-Based Monte Carlo Simulation for Method Evaluation Using Synthetic Multilevel Data A Comprehensive Survey of Synthetic Tabular Data Generation

Reference 44

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T20:46:10.786594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-08T08:10:21.640857Z digest=sha256:18f6450a3aeddf93f25e7c025afa7a8024bd008f3ed7005b09befac0b388d8ea

Observation 43807b64-f032-4937-b19a-7e643578b2d0 · inbound

Tabular Foundation Model for Generative Modelling cites this paper.

Tabular Foundation Model for Generative Modelling A Comprehensive Survey of Synthetic Tabular Data Generation

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:41:43.372872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T02:18:10.717196Z digest=sha256:dc272558fdd174962b89d5927e21a7d79ceb60952c5df752c433d3171330bcf1

Observation 55bca47b-8df7-4f0d-bfdc-ca65a3d952cb · inbound

TabKDE: Simple and Scalable Tabular Data Generation with Kernel Density Estimates cites this paper.

TabKDE: Simple and Scalable Tabular Data Generation with Kernel Density Estimates A Comprehensive Survey of Synthetic Tabular Data Generation

Reference 153

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T14:13:21.256575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-20T14:11:00.566047Z digest=sha256:e0f6ca9aa01d59d5371eb404b23c5be3fe58a82281c8379bb160a50b3c05889a

Observation 764d30d6-bbf3-4ce0-b8e1-7cbb40d075a7 · inbound

Sequential RC-TGAN: Generating Relational Time Series with Spectral Envelope Loss cites this paper.

Sequential RC-TGAN: Generating Relational Time Series with Spectral Envelope Loss A Comprehensive Survey of Synthetic Tabular Data Generation

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-01T06:35:29.324002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-01T06:35:06.822132Z digest=sha256:cc0daa482654de62c26ae371cb368506e74ab6e815b94edf1cc3a260931f7733

Observation 082d75bd-36ea-4981-9d9a-c1071f2cd0e6 · inbound

Property-Driven Synthetic Data Engineering for Data-Scarce Software Systems: Reflections from the Breast Cancer Domain cites this paper.

Property-Driven Synthetic Data Engineering for Data-Scarce Software Systems: Reflections from the Breast Cancer Domain A Comprehensive Survey of Synthetic Tabular Data Generation

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-07-08T15:45:04.709228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T15:40:23.206275Z digest=sha256:39000bd1bc82196ecc38caa9b4799217a508536bc5c00c1f03b03dbbe56f8ba2

Observation 8474eb9c-5cf1-43cb-bfac-36f6ef4779b7 · inbound

RaMark: Radioactive Watermarking for Generated Tabular Data cites this paper.

RaMark: Radioactive Watermarking for Generated Tabular Data A Comprehensive Survey of Synthetic Tabular Data Generation

Reference 65

Resolution
unresolved
no resolver link, observed 2026-07-13T01:06:27.868238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T01:06:27.868238Z digest=sha256:78798b1ea40f89934472b63539680ae4ed63018e78bc916cc51b6e6f7e72d45a

Observation 7560dab7-7509-4b90-9c39-4e25791bf8d9 · 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 A Comprehensive Survey of Synthetic Tabular Data Generation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-04T19:14:36.297328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:14:36.297328Z digest=sha256:775d579f9221acd860fd6488a262cd3b3c8ce96890cb1dd7fcef1992691ef6ca