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Paper Citation Record · LEDGER

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity

As of 20 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2602.18452.

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

pith.paper-citation-record.v1
2602.18452 v3

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T04:37:51.808259Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T04:37:49.200192Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

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Outbound references

Observation d4864419-1318-4436-be5c-153b3e0ed6ab · outbound

This paper cites RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity

Reference 1

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Observation e92465e0-4087-4c6e-85eb-8274470344c2 · outbound

This paper cites It explic- itly operationalizes a dataset-to-QA transformation process, en- abling reproducible conversion of diverse respiratory datasets into a unified multimodal QA format.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity It explic- itly operationalizes a dataset-to-QA transformation process, en- abling reproducible conversion of diverse respiratory datasets into a unified multimodal QA format

Reference 2

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Observation 028a032c-8b58-4602-a29e-c9874e0905c0 · outbound

This paper cites an unresolved cited work.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity Unresolved cited work

Reference 3

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Observation e03ac456-c50b-4ce2-8fcc-67eb9cc26b1f · outbound

This paper cites an unresolved cited work.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity Unresolved cited work

Reference 4

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Observation fd1247d3-6523-4c7d-bf29-c09fafbe56a7 · outbound

This paper cites an unresolved cited work.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity Unresolved cited work

Reference 5

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Observation dce0b89e-0004-43b3-a693-af7eca9a58fb · outbound

This paper cites Introducing healthbench,.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity Introducing healthbench,

Reference 6

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Observation c89e8eb9-869a-4ff2-8c20-42c35f9628f7 · outbound

This paper cites Evaluation and mitigation of the limitations of large language models in clinical decision-making,.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity Evaluation and mitigation of the limitations of large language models in clinical decision-making,

Reference 7

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Observation 640924f2-20b7-4668-9228-1ffca631e5f7 · outbound

This paper cites Chronic respiratory diseases: a global view,.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity Chronic respiratory diseases: a global view,

Reference 8

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Observation 4f177039-4231-4eb7-a28d-df1a5961e175 · outbound

This paper cites Analysis of res- piratory sounds: state of the art,.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity Analysis of res- piratory sounds: state of the art,

Reference 9

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Observation 4143ae77-c474-4d71-ad16-71b2b1d99b77 · outbound

This paper cites Definition of terms for applications of respiratory sounds,.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity Definition of terms for applications of respiratory sounds,

Reference 10

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Observation a2fa52e6-509b-4dd8-b7cb-f9368ad15b12 · outbound

This paper cites Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking

Reference 11

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Observation 2ca38b02-2c1c-41ab-bf25-a25f15bdf68d · outbound

This paper cites RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction

Reference 12

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Observation 210ecceb-5f17-4492-b771-34d8fa6a1116 · outbound

This paper cites emrqa: A large corpus for question answering on electronic medical records,.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity emrqa: A large corpus for question answering on electronic medical records,

Reference 13

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Observation 4ebf04d5-f85a-4bae-b3ae-c1e331227110 · outbound

This paper cites Pengi: An Audio Language Model for Audio Tasks.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity Pengi: An Audio Language Model for Audio Tasks

Reference 14

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Observation 93972dd3-6f50-45aa-b5b6-bf5e632f971b · outbound

This paper cites MedRedQA for Medical Consumer Question Answering: Dataset, Tasks, and Neural Baselines,.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity MedRedQA for Medical Consumer Question Answering: Dataset, Tasks, and Neural Baselines,

Reference 15

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Observation 2bc234b0-268f-456d-b53e-608dfbcc2969 · outbound

This paper cites ECG-QA: A Comprehensive Question Answering Dataset Combined With Electrocardiogram.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity ECG-QA: A Comprehensive Question Answering Dataset Combined With Electrocardiogram

Reference 16

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Observation 70ae3686-98d1-4d0d-800b-f174c3f889da · outbound

This paper cites VQA-Med: Overview of the Medical Visual Question Answer- ing Task at ImageCLEF 2019.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity VQA-Med: Overview of the Medical Visual Question Answer- ing Task at ImageCLEF 2019

Reference 17

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Observation dba46ba5-d707-4fc1-bc38-6662103ff5ae · outbound

This paper cites OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM

Reference 18

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Observation 870cc1ab-c061-4db5-97b4-7a61760b8240 · outbound

This paper cites PubMedQA: A Dataset for Biomedical Research Question Answering.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity PubMedQA: A Dataset for Biomedical Research Question Answering

Reference 19

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Observation 4086c591-0117-46b7-9ebf-57aeb3bec223 · outbound

This paper cites The COUGHVID crowdsourcing dataset, a corpus for the study of large-scale cough analysis algorithms,.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity The COUGHVID crowdsourcing dataset, a corpus for the study of large-scale cough analysis algorithms,

Reference 20

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Observation bb44bd26-3154-4e60-aea1-c6402245406d · outbound

This paper cites SpeechVerse: A Large-scale Generalizable Audio Language Model.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity SpeechVerse: A Large-scale Generalizable Audio Language Model

Reference 21

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Observation 736bbc75-f1be-4855-a73d-8c2fb4eef428 · outbound

This paper cites Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 22

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Observation 79256979-1263-48e0-8cfb-b32ae30c425f · outbound

This paper cites CaReAQA: A Cardiac and Respiratory Audio Question Answering Model for Open-Ended Diagnostic Reasoning.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity CaReAQA: A Cardiac and Respiratory Audio Question Answering Model for Open-Ended Diagnostic Reasoning

Reference 23

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Observation 2f8a9b21-e8bd-457b-9131-0f29fc96a1a2 · outbound

This paper cites COVID-19 sounds: A large-scale audio dataset for digital respiratory screening,.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity COVID-19 sounds: A large-scale audio dataset for digital respiratory screening,

Reference 24

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Observation 7311ad5e-868b-448c-80c6-af4c82f27989 · outbound

This paper cites Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers

Reference 25

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Observation 24d83c94-b64d-4000-a85b-d93c1f5197a2 · outbound

This paper cites A dataset of lung sounds recorded from the chest wall using an electronic stethoscope,.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity A dataset of lung sounds recorded from the chest wall using an electronic stethoscope,

Reference 26

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Observation 702ab1bd-20cf-4aae-8462-6f5f477100e9 · outbound

This paper cites An open access database for the evaluation of respiratory sound classification algorithms,.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity An open access database for the evaluation of respiratory sound classification algorithms,

Reference 27

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Observation 129714d3-d57c-49d5-a6b4-de0f1eaa4baa · outbound

This paper cites Deep learning based respiratory sound analysis for detection of chronic obstructive pulmonary disease,.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity Deep learning based respiratory sound analysis for detection of chronic obstructive pulmonary disease,

Reference 28

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Observation 2bc9230c-3082-4931-883f-d6609dd0affb · outbound

This paper cites Mmlung: Moving closer to practical lung health estimation using smartphones,.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity Mmlung: Moving closer to practical lung health estimation using smartphones,

Reference 29

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Observation 35b70e49-c649-4574-b97b-be678734f19e · outbound

This paper cites Coswara: A respiratory sounds and symptoms dataset for remote screening of SARS- CoV-2 infection,.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity Coswara: A respiratory sounds and symptoms dataset for remote screening of SARS- CoV-2 infection,

Reference 30

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Observation 9fb9df01-8a3b-4537-8206-18ba8c60c30c · outbound

This paper cites A Snoring Sound Dataset for Body Position Recognition: Collection, Annotation, and Analysis.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity A Snoring Sound Dataset for Body Position Recognition: Collection, Annotation, and Analysis

Reference 31

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Observation 5c88b4ec-2913-42ae-a9c7-d124f567d4e1 · outbound

This paper cites An evaluation of heart rate monitoring with in-ear microphones under motion,.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity An evaluation of heart rate monitoring with in-ear microphones under motion,

Reference 33

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Observation 1da6508c-d938-4832-8c97-aa0bbfa5658c · outbound

This paper cites Multimedia Respiratory Database (RespiratoryDatabase@TR): Auscultation Sounds and Chest X-rays.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity Multimedia Respiratory Database (RespiratoryDatabase@TR): Auscultation Sounds and Chest X-rays

Reference 34

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Observation 772e1158-3d53-4959-9e3b-e8328e3c6902 · outbound

This paper cites Sup- port vector machines,.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity Sup- port vector machines,

Reference 35

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Observation 7a6ea313-98c0-40c5-ac68-1b6ba74b6e0f · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity BERTScore: Evaluating Text Generation with BERT

Reference 36

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Observation e80fdf48-3435-4d7f-9638-3c8afce3b8ac · outbound

This paper cites emrQA: A Large Corpus for Question Answering on Electronic Medical Records.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity emrQA: A Large Corpus for Question Answering on Electronic Medical Records

Reference 2018

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Pith citing papers

Observation d4864419-1318-4436-be5c-153b3e0ed6ab · inbound

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity cites this paper.

RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity

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