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Paper Citation Record · LEDGER

RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.05361.

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

pith.paper-citation-record.v1
2410.05361 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:31:54.228470Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T03:37:35.623309Z

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 6e28d11a-8629-424e-9e49-8d159e8151ba · inbound

Assessing the Utility of Audio Foundation Models for Heart and Respiratory Sound Analysis cites this paper.

Assessing the Utility of Audio Foundation Models for Heart and Respiratory Sound Analysis RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T10:31:54.228470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:31:54.228470Z digest=sha256:7655bbd3521262055d78497b058693487ab742ed0fbddd9d5121c44d4de3b33e

Observation b6a900a3-5d1d-4159-a293-4c614f7f6635 · inbound

Multimodal Large Language Models for Medicine: A Comprehensive Survey cites this paper.

Multimodal Large Language Models for Medicine: A Comprehensive Survey RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction

Reference 135

Resolution
unresolved
no resolver link, observed 2026-08-16T05:32:54.460545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:32:54.460545Z digest=sha256:2d26ec156e9b5d1df2f06b444fd94ca89c1d93fcb3764662b429ad9ed41522b0

Observation 5b806d1c-8f28-4396-ad83-4bdd148b80b5 · inbound

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

CaReAQA: A Cardiac and Respiratory Audio Question Answering Model for Open-Ended Diagnostic Reasoning RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-16T04:27:49.358164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:27:49.358164Z digest=sha256:2d7f1605bd798bc021cc8805bd3f7a0c8b868d59bb4a656982470bf8b5de4bfc

Observation 8a25c838-5bc8-45ad-8f6d-ed1de42cfdf1 · inbound

Language Models as Semantic Teachers: Post-Training Alignment for Medical Audio Understanding cites this paper.

Language Models as Semantic Teachers: Post-Training Alignment for Medical Audio Understanding RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-17T01:08:47.384656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-17T01:08:02.914421Z digest=sha256:d225c30ddadc569c2d202addb98852d92723db5d0a02e410c88f713f297f6689

Observation 2ca38b02-2c1c-41ab-bf25-a25f15bdf68d · 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 RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T04:37:50.130442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:37:50.130442Z digest=sha256:0b406bbe59c5a3ab9c846ad4df3fa914df9cc8c76b6fd008dd699589ba9bde99

Observation 476899b8-1805-4713-981f-51c8bfb5e94f · inbound

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification cites this paper.

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T15:05:31.609683Z digest=sha256:26d3c4c4e8e9ecf546c58572ccab391e9eb5ecd4f49a70a8360442f080a7a8ab