Paper Citation Record · LEDGER

Machine Learning for Synthetic Data Generation: A Review

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2302.04062.

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

pith.paper-citation-record.v1
2302.04062 v10

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T11:08:08.794647Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T21:10:09.196610Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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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 ec388cf4-cbfd-4fe1-b7c7-49b5612013a6 · 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 Machine Learning for Synthetic Data Generation: A Review

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:12:39.006264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 10dcb273-e9e1-4216-87b2-61dcf74c9c3a · inbound

Integrating Reinforcement Learning and AI Agents for Adaptive Robotic Interaction and Assistance in Dementia Care cites this paper.

Integrating Reinforcement Learning and AI Agents for Adaptive Robotic Interaction and Assistance in Dementia Care Machine Learning for Synthetic Data Generation: A Review

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T11:08:08.794647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e099504f-46a5-4577-a4ca-9ed90b776ddc · inbound

Privacy-Preserving Generative Models: A Comprehensive Survey cites this paper.

Privacy-Preserving Generative Models: A Comprehensive Survey Machine Learning for Synthetic Data Generation: A Review

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-09T04:12:46.171445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dce145b7-97b0-4f72-aa4d-191cc7b96529 · inbound

HopWeaver: Cross-Document Synthesis of High-Quality and Authentic Multi-Hop Questions cites this paper.

HopWeaver: Cross-Document Synthesis of High-Quality and Authentic Multi-Hop Questions Machine Learning for Synthetic Data Generation: A Review

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:44:55.181185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 54a946f4-80c7-4ad5-b48e-2179a574bdfa · inbound

Path Generation and Evaluation in Video Games: A Nonparametric Statistical Approach cites this paper.

Path Generation and Evaluation in Video Games: A Nonparametric Statistical Approach Machine Learning for Synthetic Data Generation: A Review

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T11:07:27.097272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee7205d6-58fd-441b-a8e8-f358d29fc4f0 · inbound

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

Synthetic Tabular Data Generation: A Comparative Survey for Modern Techniques Machine Learning for Synthetic Data Generation: A Review

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T17:12:59.438835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3853221-a222-40f5-9d59-2c3695e6a23d · inbound

Stochastic dynamics learning with state-space systems cites this paper.

Stochastic dynamics learning with state-space systems Machine Learning for Synthetic Data Generation: A Review

Reference 58

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T00:01:56.003520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f725b00f-2176-4e01-91fc-fc1934f3e1a8 · inbound

PuzzleClone: A DSL-Powered Framework for Synthesizing Verifiable Data cites this paper.

PuzzleClone: A DSL-Powered Framework for Synthesizing Verifiable Data Machine Learning for Synthetic Data Generation: A Review

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T18:08:41.580224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 985f82e5-d619-4f65-ac88-92be84a6c744 · inbound

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

Synthetic CVs To Build and Test Fairness-Aware Hiring Tools Machine Learning for Synthetic Data Generation: A Review

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-05T14:35:15.858186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2d4e1bf-8f84-4f67-9072-44d4d2eaa492 · inbound

FUTURE: Flexible Unlearning for Tree Ensemble cites this paper.

FUTURE: Flexible Unlearning for Tree Ensemble Machine Learning for Synthetic Data Generation: A Review

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T14:35:42.717782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c663f409-9c75-40a6-9ebe-d81dc7d90472 · inbound

Scaling Arabic Medical Chatbots Using Synthetic Data: Enhancing Generative AI with Synthetic Patient Records cites this paper.

Scaling Arabic Medical Chatbots Using Synthetic Data: Enhancing Generative AI with Synthetic Patient Records Machine Learning for Synthetic Data Generation: A Review

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T18:10:01.541823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7b0a065-c66e-4a18-b282-f353859eb73d · 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 Machine Learning for Synthetic Data Generation: A Review

Reference 51

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:46:03.821535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 589cc310-66c6-4859-98df-b0640ed5d05c · 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 Machine Learning for Synthetic Data Generation: A Review

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:46:10.767225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation be5f8cac-5ae8-4920-a4bd-cf821ab149be · inbound

Fundamental Trade-Offs in Multi-Bit Watermarking of Stochastic Processes cites this paper.

Fundamental Trade-Offs in Multi-Bit Watermarking of Stochastic Processes Machine Learning for Synthetic Data Generation: A Review

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:56:25.662949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8d130a63-fc49-477e-bb43-63e1a562f1c0 · inbound

Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs cites this paper.

Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs Machine Learning for Synthetic Data Generation: A Review

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T22:32:49.697954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a3fbdd2b-f549-4444-ba8c-bd52fa68adc5 · inbound

CoX-MoE: Coalesced Expert Execution for High-Throughput MoE Inference with AMX-Enabled CPU-GPU Co-Execution cites this paper.

CoX-MoE: Coalesced Expert Execution for High-Throughput MoE Inference with AMX-Enabled CPU-GPU Co-Execution Machine Learning for Synthetic Data Generation: A Review

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:08:15.420893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3fe146d1-6ebf-4d5e-9378-0ca66263b84a · inbound

What Makes Synthetic Data Effective in Image Segmentation cites this paper.

What Makes Synthetic Data Effective in Image Segmentation Machine Learning for Synthetic Data Generation: A Review

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T07:13:06.690633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7d7e5412-f147-4f4e-b1c2-8a513ac108ad · inbound

When Does Model Collapse Occur in Structured Interactive Learning? cites this paper.

When Does Model Collapse Occur in Structured Interactive Learning? Machine Learning for Synthetic Data Generation: A Review

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T06:33:05.626109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6ac15c3c-05fb-4445-80ac-8d526b8cdabd · inbound

SADGE: Structure and Appearance Domain Gap Estimation of Synthetic and Real Data cites this paper.

SADGE: Structure and Appearance Domain Gap Estimation of Synthetic and Real Data Machine Learning for Synthetic Data Generation: A Review

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T06:54:42.090413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a5db162c-ad28-4944-ad72-fc2dba3b0cbe · inbound

When Does Synthetic Data Augmentation Improve Score-Based Imbalanced Classification? cites this paper.

When Does Synthetic Data Augmentation Improve Score-Based Imbalanced Classification? Machine Learning for Synthetic Data Generation: A Review

Reference 76

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T21:10:09.198645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.