Paper Citation Record · LEDGER

Synthcity: facilitating innovative use cases of synthetic data in different data modalities

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2301.07573.

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

pith.paper-citation-record.v1
2301.07573 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:12:17.113859Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

26
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 58508701-5d2f-4766-9a0c-77bdd61bc90f · inbound

Can Synthetic Data be Fair and Private? A Comparative Study of Synthetic Data Generation and Fairness Algorithms cites this paper.

Can Synthetic Data be Fair and Private? A Comparative Study of Synthetic Data Generation and Fairness Algorithms Synthcity: facilitating innovative use cases of synthetic data in different data modalities

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:12:38.977390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 24be955e-7182-4c4a-8a81-37ed74f6a570 · 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 Synthcity: facilitating innovative use cases of synthetic data in different data modalities

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:05:28.040015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8c7697e6-0244-4414-8ca5-6fbb06ea59dd · inbound

SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation cites this paper.

SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation Synthcity: facilitating innovative use cases of synthetic data in different data modalities

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:17.113859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75cd32d9-ed84-4741-831d-a86702183f1f · inbound

A Review of Privacy Metrics for Privacy-Preserving Synthetic Data Generation cites this paper.

A Review of Privacy Metrics for Privacy-Preserving Synthetic Data Generation Synthcity: facilitating innovative use cases of synthetic data in different data modalities

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T17:17:22.228230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1af310a7-990d-4a64-a17d-34662307f249 · inbound

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

TAGAL: Tabular Data Generation using Agentic LLM Methods Synthcity: facilitating innovative use cases of synthetic data in different data modalities

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:24.117960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35376dec-2224-4eb8-a51b-1170d8373c38 · inbound

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

Ensembling Membership Inference Attacks Against Tabular Generative Models Synthcity: facilitating innovative use cases of synthetic data in different data modalities

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T11:32:59.004748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a096402-9da5-4f95-bc2e-9262fe4b1596 · inbound

Large Language Models for Imbalanced Classification: Diversity makes the difference cites this paper.

Large Language Models for Imbalanced Classification: Diversity makes the difference Synthcity: facilitating innovative use cases of synthetic data in different data modalities

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T10:38:13.139067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 019b8c1c-e26b-4bbe-bb44-ca2e92282663 · 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 Synthcity: facilitating innovative use cases of synthetic data in different data modalities

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-16T23:48:41.521858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5430753a-fac3-4608-8d3b-67813199e1be · inbound

Quality Degradation Attack in Synthetic Data cites this paper.

Quality Degradation Attack in Synthetic Data Synthcity: facilitating innovative use cases of synthetic data in different data modalities

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-21T21:10:38.526391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5fc845a0-3225-48c8-ac62-c8b044c196eb · inbound

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators cites this paper.

ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators Synthcity: facilitating innovative use cases of synthetic data in different data modalities

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:35:46.523671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c9eaf15c-9e1d-4105-a098-ad80d233fd11 · inbound

GenTS: A Comprehensive Benchmark Library for Generative Time Series Models cites this paper.

GenTS: A Comprehensive Benchmark Library for Generative Time Series Models Synthcity: facilitating innovative use cases of synthetic data in different data modalities

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:18:18.422824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.