Paper Citation Record · LEDGER

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis

As of 10 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.17024.

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

pith.paper-citation-record.v1
2607.17024 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T19:20:56.494263Z

measured 28 of 28 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 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

28 of 28 outbound references displayed

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verified fuzzy0
unresolved18
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External citation measurements

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Outbound references

Observation 69c0bdfe-25cb-4197-a514-600c256404c3 · outbound

This paper cites Artificial Intelligence Platform to Predict Children’s Hospital Care for Respiratory Disease Using Clinical, Pollution, and Climatic Factors.

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis Artificial Intelligence Platform to Predict Children’s Hospital Care for Respiratory Disease Using Clinical, Pollution, and Climatic Factors

Reference 3

Resolution: verified exact; doi, observed 2026-08-01T19:23:30.015607Z

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Observation 782ea804-1881-46a6-a025-d4dc377226ba · outbound

This paper cites Global Climate-Health Impact Tracker (2015-2025).

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis Global Climate-Health Impact Tracker (2015-2025)

Reference 6

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Observation 65b81b98-2ada-43a9-bbac-6920d70d46c2 · outbound

This paper cites Machine Learning for Urban Air Quality Analytics: A Survey.

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis Machine Learning for Urban Air Quality Analytics: A Survey

Reference 7

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Observation 8f603b7e-f63d-4731-86e7-65646f313f67 · outbound

This paper cites Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning.

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning

Reference 11

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Observation ae0bf512-5705-400f-8fff-898c0a0e11a2 · outbound

This paper cites Machine Learning for Urban Air Quality Analytics: A Survey.

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis Machine Learning for Urban Air Quality Analytics: A Survey

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T19:20:53.629240Z

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Observation 7c3f6157-91f8-4122-81c0-3ed8a80ebb40 · outbound

This paper cites A Survey on Bias and Fairness in Machine Learning.

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis A Survey on Bias and Fairness in Machine Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T19:20:54.599838Z

Source-reported events for the cited work

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Observation 613a144c-43cc-4095-af0c-b02d3c2223e2 · outbound

This paper cites Air Pollution Particulate Matter (PM2.5) Prediction in South African Cities Using Machine Learning Techniques.

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis Air Pollution Particulate Matter (PM2.5) Prediction in South African Cities Using Machine Learning Techniques

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T19:20:54.936349Z

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Observation 32db1b28-f4cc-4270-9447-9223d26a6175 · outbound

This paper cites A Systematic Study on PM2.5 and PM10 Concentration Prediction in Air Pollution Using Machine Learning and Deep Learning Model.

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis A Systematic Study on PM2.5 and PM10 Concentration Prediction in Air Pollution Using Machine Learning and Deep Learning Model

Reference 18

Resolution: verified exact; doi, observed 2026-08-01T19:23:29.670833Z

Source-reported events for the cited work

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Observation cf3fab37-674a-4b9a-a111-42116a676956 · outbound

This paper cites Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning.

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T19:20:55.531060Z

Source-reported events for the cited work

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Observation 3b5deccd-fead-481b-b360-a014386ea099 · outbound

This paper cites Framework for Integrating Equity Into Machine Learning Models.

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis Framework for Integrating Equity Into Machine Learning Models

Reference 22

Resolution: verified exact; doi, observed 2026-08-01T19:23:29.521046Z

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 5d3e7cc5-e646-4851-a596-ca51a1e5b0a5 · outbound

This paper cites Ensemble-Based Classification Approach for PM2.5 Concentration Forecasting Using Meteorological Data.

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis Ensemble-Based Classification Approach for PM2.5 Concentration Forecasting Using Meteorological Data

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T19:20:56.048442Z

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Observation 8c6563ee-0b5b-4ec2-90c6-d7ebdbba05ba · outbound

This paper cites Fairness of Machine Learning Algorithms for Predicting Foregone Preventive Dental Care for Adults.

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis Fairness of Machine Learning Algorithms for Predicting Foregone Preventive Dental Care for Adults

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T19:20:56.121718Z

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Observation b0f5cbf6-43e6-4d80-8fa1-81044ca68a22 · outbound

This paper cites A Unified Approach to Interpreting Model Predictions.

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis A Unified Approach to Interpreting Model Predictions

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T19:20:54.242733Z

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Observation 6e4d5d6d-3728-4b04-a421-a7f0e7b033db · outbound

This paper cites Practical Considerations and Applied Examples of Cross- Validation for Model Development and Evaluation in Health Care: Tutorial.

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis Practical Considerations and Applied Examples of Cross- Validation for Model Development and Evaluation in Health Care: Tutorial

Reference 27

Resolution: malformed identifier; doi_truncated, observed 2026-08-01T19:23:29.331078Z

Source-reported events for the cited work

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Observation db85c34a-fa3d-4fe6-bbad-36825f71d441 · outbound

This paper cites Exploring Machine Learning Algorithms to Predict Acute Respiratory Tract Infection and Identify Its Determinants among Children under Five in Sub-Saharan Africa.

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis Exploring Machine Learning Algorithms to Predict Acute Respiratory Tract Infection and Identify Its Determinants among Children under Five in Sub-Saharan Africa

Reference 28

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Observation dd9ea1cc-d854-4c81-bf55-0082c0ea6d24 · outbound

This paper cites Wilimitis, Drew, and Colin G.

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis Wilimitis, Drew, and Colin G

Reference 91

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Observation a13aa351-0fb5-4dee-964f-22b659996342 · outbound

This paper cites Chin, Marshall H., Nasim Afsar-Manesh, Arlene S.

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis Chin, Marshall H., Nasim Afsar-Manesh, Arlene S

Reference 867

Resolution: unresolved; no resolver link, observed 2026-08-01T19:20:53.187910Z

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Observation c5a730e4-13d9-4b21-83b0-6b0c3cd09784 · outbound

This paper cites Ku, Yunseo, Soon Bin Kwon, Jeong-Hwa Yoon, Seog-Kyun Mun, and Munyoung Chang.

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis Ku, Yunseo, Soon Bin Kwon, Jeong-Hwa Yoon, Seog-Kyun Mun, and Munyoung Chang

Reference 1276

Resolution: verified exact; doi, observed 2026-08-01T19:23:29.818480Z

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Observation 593b1874-fa65-431c-a7d0-538bd9c825ba · outbound

This paper cites A Unified Approach to Interpreting Model Predictions.

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis A Unified Approach to Interpreting Model Predictions

Reference 2017

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Observation df05ec31-88a3-41be-a286-9cc4255fdc92 · outbound

This paper cites Ensuring Fairness in Machine Learning to Advance Health Equity.

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis Ensuring Fairness in Machine Learning to Advance Health Equity

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-01T19:20:55.329831Z

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Observation 905d2910-a306-48fa-81ab-b76c9ae2f5aa · outbound

This paper cites From Local Explanations to Global Understanding with Explainable AI for Trees.

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis From Local Explanations to Global Understanding with Explainable AI for Trees

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-01T19:20:54.388973Z

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Observation 5d014b5a-b2dd-42bf-8c40-bb303e430e8b · outbound

This paper cites Machine Learning and Algorithmic Fairness in Public and Population Health.

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis Machine Learning and Algorithmic Fairness in Public and Population Health

Reference 2021

Resolution: verified exact; doi, observed 2026-08-01T19:23:29.745255Z

Source-reported events for the cited work

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Observation dd3540d8-154d-4e4d-9455-67cfe89d25de · outbound

This paper cites Machine Learning Models for Predicting the Occurrence of Respiratory Diseases Using Climatic and Air- Pollution Factors.

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis Machine Learning Models for Predicting the Occurrence of Respiratory Diseases Using Climatic and Air- Pollution Factors

Reference 2022

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Observation 33162a84-30c7-4489-bb00-e7dde8a15d39 · outbound

This paper cites Guiding Principles to Address the Impact of Algorithm Bias on Racial and Ethnic Disparities in Health and Health Care.

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis Guiding Principles to Address the Impact of Algorithm Bias on Racial and Ethnic Disparities in Health and Health Care

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-01T19:20:53.259593Z

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Observation 5412b131-22b3-47a0-b3ca-ced4cc6ff19a · outbound

This paper cites Interpretable Machine Learning Approaches for Forecasting and Predicting Air Pollution: A Systematic Review.

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis Interpretable Machine Learning Approaches for Forecasting and Predicting Air Pollution: A Systematic Review

Reference 2024

Resolution: verified exact; doi, observed 2026-08-01T19:23:29.926703Z

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 2e2127c9-85f0-498b-b2cb-8e08f3d86943 · outbound

This paper cites Prognosis of Air Quality Index and Air Pollution Using Machine Learning Techniques.

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis Prognosis of Air Quality Index and Air Pollution Using Machine Learning Techniques

Reference 2025

Resolution: verified exact; doi, observed 2026-08-01T19:23:30.256256Z

Source-reported events for the cited work

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Observation 31c9489c-9e93-4a3c-8cb9-cb55306bde6f · outbound

This paper cites Cabral-Miranda, William, Cauê Beloni, Felipe Lora, Rogério Afonso, Thales Araújo, and Fátima Fernandes.

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis Cabral-Miranda, William, Cauê Beloni, Felipe Lora, Rogério Afonso, Thales Araújo, and Fátima Fernandes

Reference 2385

Resolution: verified exact; doi, observed 2026-08-01T19:23:30.143353Z

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 97c4d35d-469c-4054-abe1-dbeb0a120169 · outbound

This paper cites Varma, Sudhir, and Richard Simon.

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis Varma, Sudhir, and Richard Simon

Reference 4864

Resolution: verified exact; doi, observed 2026-08-01T19:23:29.439629Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

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