Paper Citation Record · LEDGER

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study

As of 18 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2412.16335.

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

pith.paper-citation-record.v1
2412.16335 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:44:17.792893Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 84592e72-be16-45be-a8d2-fc82efbd118b · outbound

This paper cites Mitigating racial biases for machine learning based skin cancer detection.

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study Mitigating racial biases for machine learning based skin cancer detection

Reference 1

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Observation 2dbf2831-ff25-4cb9-a2f4-087267d3c9de · outbound

This paper cites Predicting with proxies: Transfer learning in high di- mension.

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study Predicting with proxies: Transfer learning in high di- mension

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:44:18.232538Z

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Observation ab6bcc07-29d9-466d-ba6b-4018431c9b23 · outbound

This paper cites Comparison of machine learning algorithms for clinical event prediction (risk of coronary heart disease).

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study Comparison of machine learning algorithms for clinical event prediction (risk of coronary heart disease)

Reference 3

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Observation 4d96c717-3702-4577-9aa3-39aee6e8193a · outbound

This paper cites Language Models are Realistic Tabular Data Gen- erators.

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study Language Models are Realistic Tabular Data Gen- erators

Reference 4

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Observation 56278cbd-330b-4d06-a96a-1178823a2d06 · outbound

This paper cites Smote: synthetic minority over-sampling technique.

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study Smote: synthetic minority over-sampling technique

Reference 5

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Observation ea8d9665-61c0-410a-b1a9-5085cd6aacda · outbound

This paper cites Why is my classi- fier discriminatory? Advances in neural information processing systems, 31, 2018.

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study Why is my classi- fier discriminatory? Advances in neural information processing systems, 31, 2018

Reference 6

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Observation c82ff9f4-8a18-4114-ab5a-de5304f42a8e · outbound

This paper cites Ethical machine learning in healthcare.

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study Ethical machine learning in healthcare

Reference 7

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Observation fe84aa4e-ca14-4cf2-93e9-3a7f4c420a75 · outbound

This paper cites Benchmarking large language models in retrieval-augmented generation.

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study Benchmarking large language models in retrieval-augmented generation

Reference 8

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Observation 4ae0f3d6-8071-4c29-938f-8a2dbd8eee67 · outbound

This paper cites A review of medical image data aug- mentation techniques for deep learning applications.

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study A review of medical image data aug- mentation techniques for deep learning applications

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bf5266d6-f22c-432d-9c41-88a924eec1df · outbound

This paper cites Scaling instruction-finetuned language models.

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study Scaling instruction-finetuned language models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:44:18.117201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e61927f5-7ac1-4877-9fcf-b0a7cf9cdcf1 · outbound

This paper cites PreciseDebias: An Automatic Prompt Engineering Approach for Generative AI to Mitigate Image Demographic Biases.

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study PreciseDebias: An Automatic Prompt Engineering Approach for Generative AI to Mitigate Image Demographic Biases

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:44:18.104174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 14108452-92f5-42e9-8aed-e73d08b98bd5 · outbound

This paper cites Symptoms across the continuum of acute coronary syndromes: dif- ferences between women and men.

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study Symptoms across the continuum of acute coronary syndromes: dif- ferences between women and men

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:44:18.091023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 16291c05-cf4c-4bce-89d9-b47f5c2f708c · outbound

This paper cites The joint lasso: high-dimensional regression for group structured data.

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study The joint lasso: high-dimensional regression for group structured data

Reference 13

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Source-reported events for the cited work

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Observation 972833f0-f655-48b8-a8fe-7ae0f5638b59 · outbound

This paper cites Race/ethnic differences in the associations of the framingham risk factors with carotid imt and cardiovascular events.

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study Race/ethnic differences in the associations of the framingham risk factors with carotid imt and cardiovascular events

Reference 14

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Observation 84f10690-2553-4be5-b67a-66c8e4c516f7 · outbound

This paper cites Evaluation and Mitigation of Racial Bias in Clinical Machine Learning Models: Scoping Review.

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study Evaluation and Mitigation of Racial Bias in Clinical Machine Learning Models: Scoping Review

Reference 15

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Observation 02e3274c-4ce6-4cf9-9b98-6244d8ecfb91 · outbound

This paper cites Mimic-iv.

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study Mimic-iv

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:44:18.040580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 851dc0fc-2eac-4116-a1c9-4cbdefb6de1e · outbound

This paper cites Assessing socioeconomic bias in machine learning algorithms in health care: a case study of the HOUSES index.

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study Assessing socioeconomic bias in machine learning algorithms in health care: a case study of the HOUSES index

Reference 17

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Observation 9d72b498-5228-43df-9534-35b5349e7ad5 · outbound

This paper cites EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models.

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models

Reference 18

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Observation 49eaf96d-3ed9-4a40-a045-fb203fe396f5 · outbound

This paper cites Diaz, Sai Batchu, and Brandon Lucke- Wold.

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study Diaz, Sai Batchu, and Brandon Lucke- Wold

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:44:18.003523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6bc6a7ae-7100-402d-a92e-067196128f2a · outbound

This paper cites Generative models improve fair- ness of medical classifiers under distribution shifts.

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study Generative models improve fair- ness of medical classifiers under distribution shifts

Reference 20

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 111fbb6b-a6a9-4494-a547-64c90d3138ff · outbound

This paper cites A survey on bias and fairness in machine learning.

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study A survey on bias and fairness in machine learning

Reference 21

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Observation 2380bc2c-b6b4-48eb-ad9c-5c7baa780223 · outbound

This paper cites Coarse race data conceals dispar- ities in clinical risk score performance, August 2023.

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study Coarse race data conceals dispar- ities in clinical risk score performance, August 2023

Reference 22

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Observation 51464e4e-e550-4f4b-81ce-b70bcaa606da · outbound

This paper cites Synthetic data generation: State of the art in health care domain.

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study Synthetic data generation: State of the art in health care domain

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:44:17.950968Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7db856c4-a1c7-44fc-b649-79c3220c6705 · outbound

This paper cites Enrollment of racial minorities in clinical trials: old problem assumes new urgency in the age of immunotherapy.

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study Enrollment of racial minorities in clinical trials: old problem assumes new urgency in the age of immunotherapy

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:44:17.937000Z

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Observation 622e141e-9a6b-4a81-ad4a-0ca51182b31c · outbound

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Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study Unresolved cited work

Reference 25

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Source-reported events for the cited work

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Observation 16b704c8-13a7-41c3-ab44-b6ab2ae6c11d · outbound

This paper cites Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in ultra low-data regimes, February 2024.

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in ultra low-data regimes, February 2024

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:44:17.903361Z

Source-reported events for the cited work

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Observation 3a1e673f-8440-4c93-98b2-528eee6f8ab6 · outbound

This paper cites Towards Expert-Level Medical Question Answering with Large Language Models.

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study Towards Expert-Level Medical Question Answering with Large Language Models

Reference 27

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Source-reported events for the cited work

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Observation 4f2fb5a2-6bad-429d-9bb8-b53da049f9d5 · outbound

This paper cites Cohort profile: The framingham heart study (fhs): overview of milestones in cardiovascular epidemiology.

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study Cohort profile: The framingham heart study (fhs): overview of milestones in cardiovascular epidemiology

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:44:17.888115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9a16b963-d7f0-46f7-9b6c-2cfcd257b9f9 · outbound

This paper cites Fairness without harm: De- coupled classifiers with preference guarantees.

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study Fairness without harm: De- coupled classifiers with preference guarantees

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:44:17.875592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9a6e469b-4a39-4fc5-ad96-c754726d6549 · outbound

This paper cites hospital admissions and readmission.

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study hospital admissions and readmission

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.