RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification | Paper Citation Record

Observation 88c1bc99-3b79-48c0-9dbe-e33d24fe472b · outbound

This paper cites Nature Machine Intelligence , volume=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification Nature Machine Intelligence , volume=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1b42fa5-317f-48ff-bd2b-140d270a09aa · outbound

This paper cites Scientific Data , volume=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification Scientific Data , volume=

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f960510-1a21-47f3-b539-b721bda6dc71 · outbound

This paper cites Scientific Data , volume=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification Scientific Data , volume=

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8b49397-e3aa-47ba-8bf9-ca899f2ebba2 · outbound

This paper cites Scientific Data , volume=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification Scientific Data , volume=

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 738eca79-5c28-4dca-b5aa-cffaf5b317ee · outbound

This paper cites Science Advances , volume=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification Science Advances , volume=

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 286ab928-c0d6-4322-8a2a-55ad92597925 · outbound

This paper cites Physiological measurement , volume=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification Physiological measurement , volume=

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 600c4340-e4d1-4774-b107-ab80167ca364 · outbound

This paper cites Journal of Ambient Intelligence and Humanized Computing , pages=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification Journal of Ambient Intelligence and Humanized Computing , pages=

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ec9c105-36fe-45ba-8c51-b3ce09618f7b · outbound

This paper cites 2017 ieee international conference on acoustics, speech and signal processing (icassp) , pages=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification 2017 ieee international conference on acoustics, speech and signal processing (icassp) , pages=

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b554d575-5e3e-4029-ab75-c157d9cb1ade · outbound

This paper cites ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8aac92a7-581a-4a5a-a55a-569047dc616d · outbound

This paper cites International conference on machine learning , pages=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification International conference on machine learning , pages=

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b6df736-a079-498f-a518-bcccd664b628 · outbound

This paper cites ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 756d567f-b7c4-4c4a-896a-3419e3ac8178 · outbound

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

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T03:37:35.630258Z

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 476899b8-1805-4713-981f-51c8bfb5e94f · outbound

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

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T03:37:35.624816Z

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 3d697260-f17e-497d-b624-1a38e86fd8d2 · outbound

This paper cites HeAR -- Health Acoustic Representations.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification HeAR -- Health Acoustic Representations

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-03T03:37:35.644256Z

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 7c117857-fbcb-4d12-8a47-cc1cdd95ed34 · outbound

This paper cites ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea4d94d0-bb47-4897-afef-4fe977e81fba · outbound

This paper cites BTS: Bridging Text and Sound Modalities for Metadata-Aided Respiratory Sound Classification.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification BTS: Bridging Text and Sound Modalities for Metadata-Aided Respiratory Sound Classification

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-03T03:37:35.641595Z

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 9f65ac9b-7756-4868-8c35-110ebb3d1f9a · outbound

This paper cites Proceedings of the 18th ACM international conference on Multimedia , pages=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification Proceedings of the 18th ACM international conference on Multimedia , pages=

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ef0ff1a-0bbe-4799-8990-fdff9afb4a8d · outbound

This paper cites Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-03T03:37:35.622225Z

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 7901fd2d-f90f-4326-96c1-df58ab470cd8 · outbound

This paper cites ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ec851a9-0293-46d6-935d-434e45adc804 · outbound

This paper cites Nature , volume=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification Nature , volume=

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a19e7dbd-7003-4ae7-bf7b-24612c1d916f · outbound

This paper cites Communications medicine , volume=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification Communications medicine , volume=

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation deb4ad72-ce55-493d-a827-5ccf8a421766 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification LLaMA: Open and Efficient Foundation Language Models

Reference 22

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T03:37:35.638988Z

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 7c64811f-2e6b-4012-ae31-30c4478d1c44 · outbound

This paper cites JAMA internal medicine , volume=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification JAMA internal medicine , volume=

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbb70255-da28-41f5-b9a8-43cade72b7e5 · outbound

This paper cites 2024 , publisher=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification 2024 , publisher=

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91b71802-4afa-4c7c-85ef-1b91765dc9e6 · outbound

This paper cites Journal of medical Internet research , volume=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification Journal of medical Internet research , volume=

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b30cda1-f002-42ba-b577-65d216c64a67 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9a5e809-e558-4e99-8026-3f5bb7901453 · outbound

This paper cites Neurocomputing , pages=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification Neurocomputing , pages=

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f05090d9-2377-4ec0-b950-aafb70f391d1 · outbound

This paper cites Nature medicine , volume=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification Nature medicine , volume=

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ef35f20-91b6-4d63-904f-40034a178e3d · outbound

This paper cites Machine Learning for Health (ML4H) , pages=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification Machine Learning for Health (ML4H) , pages=

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8c7ae30-b6ed-4b1a-907e-019965de04ab · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification LoRA: Low-Rank Adaptation of Large Language Models

Reference 30

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T03:37:35.631535Z

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 6febe66d-15f3-4825-a53a-48b0fc3ada88 · outbound

This paper cites an unresolved cited work.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a72b97cd-46d9-4598-a8d0-deeecfd631df · outbound

This paper cites , author=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification , author=

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5744f55f-3a7f-40d0-a595-bf22fa333144 · outbound

This paper cites Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-03T03:37:35.635454Z

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 5de0390c-9ccf-475c-83a9-2cb4fcb58f93 · outbound

This paper cites Nature Medicine , pages=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification Nature Medicine , pages=

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 829fe10c-36aa-4821-90d5-46287bc71e3d · outbound

This paper cites Nature Medicine , volume=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification Nature Medicine , volume=

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea98893b-db2f-4d0f-9458-7b540c8b12df · outbound

This paper cites International Journal of Chronic Obstructive Pulmonary Disease , pages=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification International Journal of Chronic Obstructive Pulmonary Disease , pages=

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ea4c5ad-b2ef-41fd-a7c1-a427d0af379e · outbound

This paper cites Respiratory Medicine , volume=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification Respiratory Medicine , volume=

Reference 37

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97b50997-677c-4056-8b42-c3a31755ffb1 · outbound

This paper cites Proceedings of the 2020 conference on empirical methods in natural language processing: system demonstrations , pages=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification Proceedings of the 2020 conference on empirical methods in natural language processing: system demonstrations , pages=

Reference 38

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b199029e-d68d-43f9-8edd-5e590423b1e3 · outbound

This paper cites International journal of epidemiology , volume=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification International journal of epidemiology , volume=

Reference 39

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c35675c-944a-4554-a864-3b07115dcaba · outbound

This paper cites Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T03:37:35.647140Z

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 f7c18494-8189-447e-ae17-7bc9de932084 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 41

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95f4ce82-245a-427a-bf13-f5fca74b6667 · outbound

This paper cites International conference on machine learning , pages=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification International conference on machine learning , pages=

Reference 42

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f1da0d9-bb6c-42ec-8773-cebbd1aa81f4 · outbound

This paper cites BASIC: Boosting Visual Alignment with Intrinsic Refined Embeddings in Multimodal Large Language Models.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification BASIC: Boosting Visual Alignment with Intrinsic Refined Embeddings in Multimodal Large Language Models

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-07-03T03:37:35.646354Z

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 632df31e-02d9-4c56-b09d-cab846e7c658 · outbound

This paper cites An Embarrassingly Simple Approach for LLM with Strong ASR Capacity.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T03:37:35.640798Z

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 c517d08d-3f0e-43af-a9e9-a21e120ab373 · outbound

This paper cites Qwen2-Audio Technical Report.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification Qwen2-Audio Technical Report

Reference 45

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T03:37:35.651500Z

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 6168021a-4df1-4342-a47c-0d957e248919 · outbound

This paper cites Soundwave: Less is More for Speech-Text Alignment in LLMs.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification Soundwave: Less is More for Speech-Text Alignment in LLMs

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-07-03T03:37:35.649177Z

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 11505df6-d459-4262-aa28-e2d0fb04cce8 · outbound

This paper cites ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=

Reference 47

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff9cd56c-b24f-4b6b-a67d-bb9e367e153a · outbound

This paper cites Textbooks Are All You Need.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification Textbooks Are All You Need

Reference 48

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T03:37:35.643205Z

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 4e08fdaf-e233-43f1-a56a-221b4d76b13c · outbound

This paper cites Microsoft Research Blog , volume=.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification Microsoft Research Blog , volume=

Reference 49

Resolution: unresolved; no resolver link, observed 2026-06-27T15:05:31.609683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers