Paper Citation Record · LEDGER

Synthetic Data -- what, why and how?

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2205.03257.

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

pith.paper-citation-record.v1
2205.03257 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:35:15.820544Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

106
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 168608c2-9139-47c1-bae8-d2cf350ff22b · 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 Synthetic Data -- what, why and how?

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:05:27.870043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 582a40f3-a89c-4e83-9628-d2f1520ae431 · inbound

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

LLM-TabLogic: Preserving Inter-Column Logical Relationships in Synthetic Tabular Data via Prompt-Guided Latent Diffusion Synthetic Data -- what, why and how?

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:07:19.894591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e1026576-55d5-40e8-97e9-f91fad040c40 · inbound

Synthetic CVs To Build and Test Fairness-Aware Hiring Tools cites this paper.

Synthetic CVs To Build and Test Fairness-Aware Hiring Tools Synthetic Data -- what, why and how?

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T14:35:15.820544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e798bdd-5282-4f88-8afa-e3de4eff1338 · inbound

A Comprehensive Guide to Differential Privacy: From Theory to User Expectations cites this paper.

A Comprehensive Guide to Differential Privacy: From Theory to User Expectations Synthetic Data -- what, why and how?

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T19:41:48.666231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 460fbbd1-733a-4996-950c-3474a06f2fa4 · inbound

SynDelay: A Synthetic Dataset for Delivery Delay Prediction cites this paper.

SynDelay: A Synthetic Dataset for Delivery Delay Prediction Synthetic Data -- what, why and how?

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T13:27:44.808899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 690181d3-7552-4cd8-871f-d966e3aa273a · inbound

Diffusion Models as Dataset Distillation Priors cites this paper.

Diffusion Models as Dataset Distillation Priors Synthetic Data -- what, why and how?

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:05:57.407327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e706e1ee-cb02-4b8d-88dc-da2cd52f4ae2 · inbound

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

Autoregressive Synthesis of Sparse and Semi-Structured Mixed-Type Data Synthetic Data -- what, why and how?

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T18:16:27.101134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 48db7891-1846-4227-b676-2ff7e45e49a5 · inbound

Tight Auditing of Differential Privacy in MST and AIM cites this paper.

Tight Auditing of Differential Privacy in MST and AIM Synthetic Data -- what, why and how?

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T12:25:22.798944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 01e33958-f02f-41bb-93ba-d1a13ac2b4ea · 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 Synthetic Data -- what, why and how?

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:46:03.956294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 07fce9da-0324-41a3-91c5-d085d368e7ef · 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 Synthetic Data -- what, why and how?

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T14:35:46.528763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8d1b4a96-3a05-4254-804b-6d6d6974c777 · inbound

CasualSynth: Generating Structurally Sound Synthetic Data cites this paper.

CasualSynth: Generating Structurally Sound Synthetic Data Synthetic Data -- what, why and how?

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:18:21.298424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 307ff7b8-9087-4d53-916f-0fc4f0d5a29c · inbound

TS-Skill: A Benchmark for Evaluating Analytical Skills in Time-Series Question Answering cites this paper.

TS-Skill: A Benchmark for Evaluating Analytical Skills in Time-Series Question Answering Synthetic Data -- what, why and how?

Reference 45

Resolution: malformed identifier; arxiv_id, observed 2026-06-30T13:14:40.688030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4b2549ee-086d-4906-ba2a-b9a7ba67fca5 · inbound

High-Quality Synthetic Financial Time-Series using a GAN-Diffusion Framework cites this paper.

High-Quality Synthetic Financial Time-Series using a GAN-Diffusion Framework Synthetic Data -- what, why and how?

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:53:51.571062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 299c3125-8ad3-4464-9e8b-26b49386b455 · inbound

Context-Conditioned Generative Models Enable Subnational Refinement of Sparse Humanitarian Surveys cites this paper.

Context-Conditioned Generative Models Enable Subnational Refinement of Sparse Humanitarian Surveys Synthetic Data -- what, why and how?

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T20:32:37.189034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 95c33051-5cf9-43f3-b734-311dbb546224 · inbound

Synthetic Data from Cross-Domain Events for Large-Scale Recommendation Systems cites this paper.

Synthetic Data from Cross-Domain Events for Large-Scale Recommendation Systems Synthetic Data -- what, why and how?

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T20:42:37.286093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5cb27a39-3f75-4da3-8e83-6b81e27a0f15 · inbound

SoK: Reconstruction Attacks on Synthetic Tabular Data (Insights from Winning the NIST CRC) cites this paper.

SoK: Reconstruction Attacks on Synthetic Tabular Data (Insights from Winning the NIST CRC) Synthetic Data -- what, why and how?

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:07:26.206753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6426826b-302c-4915-ace8-470f9334f7b9 · inbound

Phantoms and Disclosures: A Statistical Framework for Auditing Privacy in Synthetic Data cites this paper.

Phantoms and Disclosures: A Statistical Framework for Auditing Privacy in Synthetic Data Synthetic Data -- what, why and how?

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T11:15:49.868216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 834e9570-ea1b-4152-8ade-f305a28149a2 · 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 Synthetic Data -- what, why and how?

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T20:58:57.961079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ae90637d-f6e2-4f63-a5c8-66bb9545d761 · inbound

Continuous Hidden Markov Models for Equity Returns: Heavy-Tail Emission Families and Regime-Conditional Value-at-Risk cites this paper.

Continuous Hidden Markov Models for Equity Returns: Heavy-Tail Emission Families and Regime-Conditional Value-at-Risk Synthetic Data -- what, why and how?

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T01:58:54.109760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2778211d-9ce7-4218-89f5-292454109a47 · inbound

Where to Intervene? Benchmarking Fairness-Aware Learning on Differentially Private Synthetic Tabular Data cites this paper.

Where to Intervene? Benchmarking Fairness-Aware Learning on Differentially Private Synthetic Tabular Data Synthetic Data -- what, why and how?

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-07-09T10:06:09.414433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 48168be1-642b-4d18-a46b-cc318e3b40c4 · inbound

Where to Intervene? Benchmarking Fairness-Aware Learning on Differentially Private Synthetic Tabular Data cites this paper.

Where to Intervene? Benchmarking Fairness-Aware Learning on Differentially Private Synthetic Tabular Data Synthetic Data -- what, why and how?

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T08:06:45.809209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cef7c5e1-7e0f-4a7c-934c-51c3ca2edd08 · inbound

Generative Augmentation of Raman Spectra for Glioma Classification cites this paper.

Generative Augmentation of Raman Spectra for Glioma Classification Synthetic Data -- what, why and how?

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T13:36:04.505465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 751c27bb-f41b-46e4-a0da-2839fe3db7f5 · 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 Synthetic Data -- what, why and how?

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T16:50:36.307819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.