Paper Citation Record · LEDGER

Synthetic Data in AI: Challenges, Applications, and Ethical Implications

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2401.01629.

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

pith.paper-citation-record.v1
2401.01629 v1

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 2026-08-09T06:31:02.800959+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:08:10.461135Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T20:33:43.207056Z

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 f118e3ab-f253-43b6-be1d-ae9eb725f71d · inbound

The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation cites this paper.

The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation Synthetic Data in AI: Challenges, Applications, and Ethical Implications

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-09T10:08:10.461135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdee0759-2e76-4246-b26a-179c91212743 · inbound

Synthetic Poisoning Attacks: The Impact of Poisoned MRI Image on U-Net Brain Tumor Segmentation cites this paper.

Synthetic Poisoning Attacks: The Impact of Poisoned MRI Image on U-Net Brain Tumor Segmentation Synthetic Data in AI: Challenges, Applications, and Ethical Implications

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T00:39:02.324847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30ed8fa3-63ae-48f8-a281-b156d96c2263 · inbound

MultiFloodSynth: Multi-Annotated Flood Synthetic Dataset Generation cites this paper.

MultiFloodSynth: Multi-Annotated Flood Synthetic Dataset Generation Synthetic Data in AI: Challenges, Applications, and Ethical Implications

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T00:07:47.686477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57b0b2d1-f3ca-4eb0-8955-54a863e2ea33 · inbound

Neural Restoration of Greening Defects in Historical Autochrome Photographs Based on Purely Synthetic Data cites this paper.

Neural Restoration of Greening Defects in Historical Autochrome Photographs Based on Purely Synthetic Data Synthetic Data in AI: Challenges, Applications, and Ethical Implications

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:19.897168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17c6949a-15a7-400a-9083-3ca5b45627e5 · inbound

Using Sign Language Production as Data Augmentation to enhance Sign Language Translation cites this paper.

Using Sign Language Production as Data Augmentation to enhance Sign Language Translation Synthetic Data in AI: Challenges, Applications, and Ethical Implications

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T04:47:50.506305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1f52099-b92f-47b6-9d07-143fdc29dfaa · inbound

Privacy-Preserving Synthetic Review Generation with Diverse Writing Styles Using LLMs cites this paper.

Privacy-Preserving Synthetic Review Generation with Diverse Writing Styles Using LLMs Synthetic Data in AI: Challenges, Applications, and Ethical Implications

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T14:43:28.979022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 106448dc-79aa-48c2-9a7d-031d182d058d · inbound

Ethical Medical Image Synthesis cites this paper.

Ethical Medical Image Synthesis Synthetic Data in AI: Challenges, Applications, and Ethical Implications

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-05T21:11:13.314831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1366067e-6b08-4b5f-b08d-285bcfa6c350 · inbound

Generative Models for Synthetic Data: Transforming Data Mining in the GenAI Era cites this paper.

Generative Models for Synthetic Data: Transforming Data Mining in the GenAI Era Synthetic Data in AI: Challenges, Applications, and Ethical Implications

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T15:43:12.650620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b62aa132-c4e2-411b-9292-67c2aa2df6af · 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 in AI: Challenges, Applications, and Ethical Implications

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T14:35:15.806349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29168305-786d-453c-a64d-fb7cd3ef07c4 · inbound

Generative multi-scale modeling and downscaling via spatial autoregressive transport maps cites this paper.

Generative multi-scale modeling and downscaling via spatial autoregressive transport maps Synthetic Data in AI: Challenges, Applications, and Ethical Implications

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T14:56:45.417112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92260372-0473-48c4-8700-b28810065cd7 · inbound

NodeSynth: Socially Aligned Synthetic Data for AI Evaluation cites this paper.

NodeSynth: Socially Aligned Synthetic Data for AI Evaluation Synthetic Data in AI: Challenges, Applications, and Ethical Implications

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:38:35.792266Z

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 c6c4d95e-1a54-4452-badb-93e716b57fd5 · inbound

NodeSynth: Socially Aligned Synthetic Data for AI Evaluation cites this paper.

NodeSynth: Socially Aligned Synthetic Data for AI Evaluation Synthetic Data in AI: Challenges, Applications, and Ethical Implications

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:33:43.208756Z

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.