Paper Citation Record · LEDGER

From Signals to Patterns: Non-Invasive Tuberculosis Detection from Cough Audio using Bandit Weighted Hyperbolic Prototypes

As of 14 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2606.17337.

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

pith.paper-citation-record.v1
2606.17337 v2

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T02:03:29.846131Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T02:03:29.846131Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T19:08:50.340585Z

Reference resolution

24 of 24 outbound references displayed

verified exact2
verified fuzzy0
unresolved22
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 88f07232-2d4f-4ebf-aded-4ff7a378e868 · outbound

This paper cites From Signals to Patterns: Non-Invasive Tuberculosis Detection from Cough Audio using Bandit Weighted Hyperbolic Prototypes.

From Signals to Patterns: Non-Invasive Tuberculosis Detection from Cough Audio using Bandit Weighted Hyperbolic Prototypes From Signals to Patterns: Non-Invasive Tuberculosis Detection from Cough Audio using Bandit Weighted Hyperbolic Prototypes

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-03T19:08:50.342089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bd09ed42-6d0e-4268-94f2-8a00282f4f59 · outbound

This paper cites an unresolved cited work.

From Signals to Patterns: Non-Invasive Tuberculosis Detection from Cough Audio using Bandit Weighted Hyperbolic Prototypes Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-27T02:03:29.846131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d7a72e5-b122-4014-b355-2c09bf7a87eb · outbound

This paper cites an unresolved cited work.

From Signals to Patterns: Non-Invasive Tuberculosis Detection from Cough Audio using Bandit Weighted Hyperbolic Prototypes Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-27T02:03:29.846131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb35322d-c77f-4627-8cad-9d050b475757 · outbound

This paper cites Benchmark Dataset Our study is grounded in experiments on the CODA TB[16] 8 benchmark dataset released through the CODA TB DREAM Challenge.

From Signals to Patterns: Non-Invasive Tuberculosis Detection from Cough Audio using Bandit Weighted Hyperbolic Prototypes Benchmark Dataset Our study is grounded in experiments on the CODA TB[16] 8 benchmark dataset released through the CODA TB DREAM Challenge

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-27T02:03:29.846131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4c28bc7-6c10-4a59-a880-225309ce6c07 · outbound

This paper cites At the same time, spectral features remain competitive and provide complementary information, motivat- ing heterogeneous fusion.

From Signals to Patterns: Non-Invasive Tuberculosis Detection from Cough Audio using Bandit Weighted Hyperbolic Prototypes At the same time, spectral features remain competitive and provide complementary information, motivat- ing heterogeneous fusion

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-27T02:03:29.846131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f26a592c-6ffd-4293-b8c1-66aa70ab69d0 · outbound

This paper cites an unresolved cited work.

From Signals to Patterns: Non-Invasive Tuberculosis Detection from Cough Audio using Bandit Weighted Hyperbolic Prototypes Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-27T02:03:29.846131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9038e3bf-4d69-4111-a151-f5765bf4d497 · outbound

This paper cites They did not contribute to the development of scientific ideas, the design or execution of analyses, the production of re- sults, or the interpretation of findings.

From Signals to Patterns: Non-Invasive Tuberculosis Detection from Cough Audio using Bandit Weighted Hyperbolic Prototypes They did not contribute to the development of scientific ideas, the design or execution of analyses, the production of re- sults, or the interpretation of findings

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-27T02:03:29.846131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea85ca3d-773d-46af-a460-848a060cc019 · outbound

This paper cites Global tuberculosis report 2025,.

From Signals to Patterns: Non-Invasive Tuberculosis Detection from Cough Audio using Bandit Weighted Hyperbolic Prototypes Global tuberculosis report 2025,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-27T02:03:29.846131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19fdd23a-4a5a-48cb-bfba-9071c65431e4 · outbound

This paper cites A systematic review of delay in the diagnosis and treatment of tuberculosis,.

From Signals to Patterns: Non-Invasive Tuberculosis Detection from Cough Audio using Bandit Weighted Hyperbolic Prototypes A systematic review of delay in the diagnosis and treatment of tuberculosis,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-27T02:03:29.846131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a56ddc4f-08e3-4912-98c6-8d4f259477e7 · outbound

This paper cites Guidance for studies evaluating the accuracy of tuberculosis triage tests,.

From Signals to Patterns: Non-Invasive Tuberculosis Detection from Cough Audio using Bandit Weighted Hyperbolic Prototypes Guidance for studies evaluating the accuracy of tuberculosis triage tests,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-27T02:03:29.846131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ae74029-6f1a-499e-b06e-12ade0713b3c · outbound

This paper cites Towards Pre-training an Effective Respiratory Audio Foundation Model,.

From Signals to Patterns: Non-Invasive Tuberculosis Detection from Cough Audio using Bandit Weighted Hyperbolic Prototypes Towards Pre-training an Effective Respiratory Audio Foundation Model,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-27T02:03:29.846131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29337353-67ea-43b5-853d-5cf4969f9010 · outbound

This paper cites Accelerating cough-based algorithms for pulmonary tuberculosis screening: Results from the coda tb dream challenge,.

From Signals to Patterns: Non-Invasive Tuberculosis Detection from Cough Audio using Bandit Weighted Hyperbolic Prototypes Accelerating cough-based algorithms for pulmonary tuberculosis screening: Results from the coda tb dream challenge,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-27T02:03:29.846131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dedceb99-7b4a-4c0e-ab67-36b7561e909e · outbound

This paper cites Considerations and challenges for real-world deployment of an acoustic-based covid- 19 screening system,.

From Signals to Patterns: Non-Invasive Tuberculosis Detection from Cough Audio using Bandit Weighted Hyperbolic Prototypes Considerations and challenges for real-world deployment of an acoustic-based covid- 19 screening system,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-27T02:03:29.846131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 273cbd30-ae1c-421f-9fcb-e3d7206fadef · outbound

This paper cites Automatic cough classification for tuberculosis screening in a real-world environment,.

From Signals to Patterns: Non-Invasive Tuberculosis Detection from Cough Audio using Bandit Weighted Hyperbolic Prototypes Automatic cough classification for tuberculosis screening in a real-world environment,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-27T02:03:29.846131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67279831-de5d-495e-9314-2dbad835a7f5 · outbound

This paper cites TB or not TB? Acous- tic cough analysis for tuberculosis classification,.

From Signals to Patterns: Non-Invasive Tuberculosis Detection from Cough Audio using Bandit Weighted Hyperbolic Prototypes TB or not TB? Acous- tic cough analysis for tuberculosis classification,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-27T02:03:29.846131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9baa3a5d-0dae-4e7c-8e24-a89e71afe0df · outbound

This paper cites Detection of tuberculosis using cough audio analysis: a deep learning approach with capsule networks,.

From Signals to Patterns: Non-Invasive Tuberculosis Detection from Cough Audio using Bandit Weighted Hyperbolic Prototypes Detection of tuberculosis using cough audio analysis: a deep learning approach with capsule networks,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-27T02:03:29.846131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9bbcdbc-137a-4dd3-8797-98efe217aff7 · outbound

This paper cites Non- Invasive TB Detection using Acoustic and Semantic Features from Cough Sounds ,.

From Signals to Patterns: Non-Invasive Tuberculosis Detection from Cough Audio using Bandit Weighted Hyperbolic Prototypes Non- Invasive TB Detection using Acoustic and Semantic Features from Cough Sounds ,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-27T02:03:29.846131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c86b3431-7965-4ca3-8c57-5bee06ed1dd0 · outbound

This paper cites Tbscreen: A pas- sive cough classifier for tuberculosis screening with a controlled dataset,.

From Signals to Patterns: Non-Invasive Tuberculosis Detection from Cough Audio using Bandit Weighted Hyperbolic Prototypes Tbscreen: A pas- sive cough classifier for tuberculosis screening with a controlled dataset,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-27T02:03:29.846131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35e7ed3b-b52a-4de8-bf7b-119204d6f009 · outbound

This paper cites Ef- ficient Training of Audio Transformers with Patchout,.

From Signals to Patterns: Non-Invasive Tuberculosis Detection from Cough Audio using Bandit Weighted Hyperbolic Prototypes Ef- ficient Training of Audio Transformers with Patchout,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-27T02:03:29.846131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac45ca4c-f8fb-440a-89a2-d7d091d7c883 · outbound

This paper cites Robust speech recognition via large-scale weak supervision,.

From Signals to Patterns: Non-Invasive Tuberculosis Detection from Cough Audio using Bandit Weighted Hyperbolic Prototypes Robust speech recognition via large-scale weak supervision,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-27T02:03:29.846131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7afdd35-9e52-4836-bb89-c959ea30eeba · outbound

This paper cites X-vectors: Robust dnn embeddings for speaker recogni- tion,.

From Signals to Patterns: Non-Invasive Tuberculosis Detection from Cough Audio using Bandit Weighted Hyperbolic Prototypes X-vectors: Robust dnn embeddings for speaker recogni- tion,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-27T02:03:29.846131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a21754d-48d7-4e74-968e-1b594642585d · outbound

This paper cites Wavlm: Large-scale self- supervised pre-training for full stack speech processing,.

From Signals to Patterns: Non-Invasive Tuberculosis Detection from Cough Audio using Bandit Weighted Hyperbolic Prototypes Wavlm: Large-scale self- supervised pre-training for full stack speech processing,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-27T02:03:29.846131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b9fb3d3-cdbe-45d6-8547-f66c5f0ae2fc · outbound

This paper cites A dataset of solicited cough sound for tuberculosis triage testing,.

From Signals to Patterns: Non-Invasive Tuberculosis Detection from Cough Audio using Bandit Weighted Hyperbolic Prototypes A dataset of solicited cough sound for tuberculosis triage testing,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-27T02:03:29.846131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58685981-111b-44cd-a642-ea0b84a641b6 · outbound

This paper cites Deep learning for tuberculosis screening in a high-burden set- ting using cough analysis and speech foundation models,.

From Signals to Patterns: Non-Invasive Tuberculosis Detection from Cough Audio using Bandit Weighted Hyperbolic Prototypes Deep learning for tuberculosis screening in a high-burden set- ting using cough analysis and speech foundation models,

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-03T19:08:50.345107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

Observation 88f07232-2d4f-4ebf-aded-4ff7a378e868 · inbound