{"as_of":"2026-08-19T04:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:06df8c5f5102e124f06a1662f968b245e5841b6bb1d2584cfb2c77a42faa5ac6","coverage":[{"denominator":33,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":33,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T23:56:11.462443Z","state":"measured"},{"denominator":34,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":34,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-27T08:18:25.505979Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T13:18:12.769903Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"cited_work":{"arxiv_id":"2505.06271","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.06271","snapshot_observed_at":"2026-07-03T13:18:12.769903Z","title":"Tri-mtl: A triple multitask learning approach for respiratory disease diagnosis,","venue":null,"work_id":"47123b75-765e-45ae-a9f9-ea9aec2c4380","year":2025},"citing_paper":{"arxiv_id":"2606.11915","last_updated":"2026-06-10T10:48:42Z","snapshot_observed_at":"2026-08-07T03:32:16.673855Z","submitted_at":"2026-06-10T10:48:42Z","title":"Quality Adaptive Angular Margin Learning for Respiratory Sound Classification","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-27T08:18:25.505979Z"},"links":{"cited_paper":"/paper/2505.06271","citing_paper":"/paper/2606.11915"},"observation_digest":"sha256:d9f47482a9ebde9c8b0b5ebdfd50a8040e7f22b0c0fe1bdb8d3cda1c5054f3ce","observation_id":"a379fac5-4676-4459-aea1-24058de0ad51","resolution":{"observed_at":"2026-07-03T13:18:12.771511Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.06271/citation-record","integrity":"/paper/2505.06271/integrity","json":"/paper/2505.06271/citation-record.json","paper":"/paper/2505.06271"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:56:11.986047Z","title":"Laennec versus forbes: tied for the score! how technology helps us interpret auscultation,","venue":null,"work_id":"296d5d7a-bb1e-4dfe-89df-229306bef246","year":2019},"citing_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:11.306652Z"},"links":{"citing_paper":"/paper/2505.06271"},"observation_digest":"sha256:1d912acc48f09d15444d919740c1715881668b07d33a7dc5be1ac791d8412138","observation_id":"f6d99933-1a38-47eb-8577-60d06ec49bc9","resolution":{"observed_at":"2026-08-15T23:56:11.990540Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:56:11.970891Z","title":"Auscultation of the respiratory system,","venue":null,"work_id":"a746fffd-f336-4446-af3f-dad40e6d5b3d","year":2015},"citing_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:11.311906Z"},"links":{"citing_paper":"/paper/2505.06271"},"observation_digest":"sha256:a5f9d863ed7e446640d7ce049fbb1e0893648d0381a60117358dd23861f34d4f","observation_id":"a81d697a-52f9-4d08-8485-e23ff81b7a67","resolution":{"observed_at":"2026-08-15T23:56:11.975527Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:56:11.955784Z","title":"The coming era of a new auscultation system for analyzing respiratory sounds,","venue":null,"work_id":"2513bad9-b19b-42f2-900d-dda1b85deb06","year":2022},"citing_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:11.316692Z"},"links":{"citing_paper":"/paper/2505.06271"},"observation_digest":"sha256:37d8fb5e4c2057b2b075a383fdebdee1371310878f2425533d109d15e54f0777","observation_id":"31c27904-7998-4397-9cee-07528e82fa0e","resolution":{"observed_at":"2026-08-15T23:56:11.960431Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:56:11.941770Z","title":"Approach to the respiratory patient,","venue":null,"work_id":"db4cf196-645b-47c1-81dd-ee6fa4f232cc","year":2007},"citing_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:11.321891Z"},"links":{"citing_paper":"/paper/2505.06271"},"observation_digest":"sha256:778b92c68a5dbd58375469bd4536122626886fe7f86ee6f23377f5ce808b71cc","observation_id":"f7715e9b-a902-480b-8ab1-6cbdcb9c946b","resolution":{"observed_at":"2026-08-15T23:56:11.946211Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:56:11.927592Z","title":"Multi-task convolu- tional neural network for patient detection and skin segmentation in continuous non-contact vital sign monitoring,","venue":null,"work_id":"203a68a2-281e-4d1a-bc26-0b30bc70db21","year":2017},"citing_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:11.326900Z"},"links":{"citing_paper":"/paper/2505.06271"},"observation_digest":"sha256:5e1e17b62d936f53b5219b1ed5b3b2c6a4fd2d73b566bdefbf3b3109ff53747c","observation_id":"967d4e31-e89d-4d5f-ab21-20229524e153","resolution":{"observed_at":"2026-08-15T23:56:11.932152Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1703.01025","last_updated":"2017-03-03T03:22:16Z","snapshot_observed_at":"2026-08-14T21:13:46.552440Z","submitted_at":"2017-03-03T03:22:16Z","title":"A Novel Multi-task Deep Learning Model for Skin Lesion Segmentation and Classification","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1703.01025","snapshot_observed_at":"2026-08-15T23:56:11.331439Z","title":"A novel multi-task deep learning model for skin lesion segmentation and classification,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:11.331439Z"},"links":{"cited_paper":"/paper/1703.01025","citing_paper":"/paper/2505.06271"},"observation_digest":"sha256:deef0f35299a814157a81879918083a76473309f5a3c8c3ee33fd58960ab5af4","observation_id":"dbae936b-226d-441d-b7d6-0952dc6245b1","resolution":{"observed_at":"2026-08-15T23:56:11.331439Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:56:11.912899Z","title":"Canet: cross- disease attention network for joint diabetic retinopathy and diabetic macular edema grading,","venue":null,"work_id":"4fa52091-fa7d-4107-8550-3604a87208aa","year":2019},"citing_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:11.337594Z"},"links":{"citing_paper":"/paper/2505.06271"},"observation_digest":"sha256:8573ba16f948229ff0e9a8011f573ad08819c45ff9b3cc951b9d03bfddf06810","observation_id":"ae41f2c7-247c-4100-9c13-8b34a191da98","resolution":{"observed_at":"2026-08-15T23:56:11.917726Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:56:11.898339Z","title":"Multi-task deep convolutional neural network for cancer diagnosis,","venue":null,"work_id":"2ea83d2f-8097-4c7d-846d-61f7f94cc3fe","year":2019},"citing_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:11.342238Z"},"links":{"citing_paper":"/paper/2505.06271"},"observation_digest":"sha256:2b4b4bfe86c896b7cfaae6432b9e42d9f63c2039246120ba010112e15fe384a3","observation_id":"9e821e86-6931-4c05-a473-d2ac39fe92b0","resolution":{"observed_at":"2026-08-15T23:56:11.902833Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:56:11.884367Z","title":"Multi-task deep learning based ct imaging analysis for covid-19 pneumonia: Classi- fication and segmentation,","venue":null,"work_id":"51c0317a-4d7a-4e03-9b7d-bf7bcfcf559c","year":2020},"citing_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:11.346637Z"},"links":{"citing_paper":"/paper/2505.06271"},"observation_digest":"sha256:adbdc3e2ed742c60b893569cf17672bb8c8432ef250e5fbb2ad3b6e0b2fef4b8","observation_id":"d64662d2-787e-4573-8f0a-599e4c8ce28b","resolution":{"observed_at":"2026-08-15T23:56:11.889031Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:56:11.869262Z","title":"A feature transfer enabled multi-task deep learning model on medical imaging,","venue":null,"work_id":"038aca3c-d141-49f5-86fe-bf13b6d99618","year":2020},"citing_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:11.351846Z"},"links":{"citing_paper":"/paper/2505.06271"},"observation_digest":"sha256:0c65967df680a8d6ebc2fcb000daa644b13ef929b9e16e6d435e7f8fb82c11a1","observation_id":"eb94b101-3953-488e-9c21-fe8c7e681791","resolution":{"observed_at":"2026-08-15T23:56:11.874058Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:56:11.854306Z","title":"An end-to-end multi-task deep learning framework for skin lesion analysis,","venue":null,"work_id":"ccd7ade5-f3ba-48d6-867b-d0390a0501a8","year":2020},"citing_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:11.356446Z"},"links":{"citing_paper":"/paper/2505.06271"},"observation_digest":"sha256:d5decc81678dd1e09e2a2320d49571f939fdd28bdf4dae172960f2a12f1bb22c","observation_id":"6468b103-914d-49d9-a469-c738ef389631","resolution":{"observed_at":"2026-08-15T23:56:11.859150Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:56:11.838853Z","title":"Multi-task learning for lung sound and lung disease classification,","venue":null,"work_id":"25893916-43e0-42cf-af25-466d6af8b0f5","year":2024},"citing_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:11.360962Z"},"links":{"citing_paper":"/paper/2505.06271"},"observation_digest":"sha256:04453292725a0c96272093228b2c82456dea781f94147af9e1f1e4d33dff3f63","observation_id":"298cf6b9-6d97-417a-92bf-126b837bdf1f","resolution":{"observed_at":"2026-08-15T23:56:11.843616Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:56:11.823718Z","title":"A multi-task learning based applicable ai model simultaneously predicts stage, histology, grade and lnm for cervical cancer before surgery,","venue":null,"work_id":"cdee74bb-0618-4bb8-aa48-9156ac3f665e","year":2024},"citing_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:11.366008Z"},"links":{"citing_paper":"/paper/2505.06271"},"observation_digest":"sha256:78339c1eb68965f4287237544e3f828b1d1b2be6e0c2b74398efecb33b874510","observation_id":"1952df16-4c19-49d2-9841-7c9db3c6f6f0","resolution":{"observed_at":"2026-08-15T23:56:11.828665Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:56:11.807721Z","title":"Cross-task attention network: Improving multi-task learning for medical imaging applications,","venue":null,"work_id":"6f602f88-19ab-4e09-9a4e-edba292b519a","year":2023},"citing_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:11.370637Z"},"links":{"citing_paper":"/paper/2505.06271"},"observation_digest":"sha256:172af79304019a461f21a1e9bf7e1803c7942a8f482f3e72d3d9f2a1f502b2dd","observation_id":"2a939bb0-9aef-4676-a482-2239eb595cc9","resolution":{"observed_at":"2026-08-15T23:56:11.813051Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:56:11.790772Z","title":"Intra-person multi-task learning method for chronic-disease prediction,","venue":null,"work_id":"4e447f18-f07a-4535-b3c5-ba9df95fdf8b","year":2023},"citing_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:11.376089Z"},"links":{"citing_paper":"/paper/2505.06271"},"observation_digest":"sha256:a64e091f110ace918eb7a365682eb3a8a3628fef2cf3263bdd4522532e288bae","observation_id":"e440861f-13ff-4c81-82f4-396462f1b577","resolution":{"observed_at":"2026-08-15T23:56:11.796137Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2004.13379","last_updated":"2021-01-24T18:56:09Z","snapshot_observed_at":"2026-08-12T06:00:39.450962Z","submitted_at":"2020-04-28T09:15:50Z","title":"Multi-Task Learning for Dense Prediction Tasks: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.13379","snapshot_observed_at":"2026-08-15T23:56:11.381126Z","title":"Revisiting multi-task learning in the deep learning era,","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:11.381126Z"},"links":{"cited_paper":"/paper/2004.13379","citing_paper":"/paper/2505.06271"},"observation_digest":"sha256:1220cedf31c40e9fa9a207cdd48b04f7763c583e161ce934389111ce54d56930","observation_id":"5265ca2e-0c2d-4c01-9ec7-27310bb27c40","resolution":{"observed_at":"2026-08-15T23:56:11.381126Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03908","last_updated":"2024-04-05T06:15:58Z","snapshot_observed_at":"2026-08-16T14:03:27.118436Z","submitted_at":"2024-04-05T06:15:58Z","title":"Multi-Task Learning for Lung sound & Lung disease classification","version":1},"cited_work":{"arxiv_id":"2404.03908","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.03908","snapshot_observed_at":"2026-08-15T23:56:11.529809Z","title":"Multi-Task Learning for Lung sound & Lung disease classification","venue":"cs.LG","work_id":"40ff29af-eb36-4dcb-8a1f-038697d48c59","year":2024},"citing_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:11.386004Z"},"links":{"cited_paper":"/paper/2404.03908","citing_paper":"/paper/2505.06271"},"observation_digest":"sha256:a4515242ee76f974ed830f01715fac98c1db0147225b3657658839300124fd3b","observation_id":"aa0bc24b-cb0a-4dc3-88f0-c1d92b95666e","resolution":{"observed_at":"2026-08-15T23:56:11.537457Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.04086","last_updated":"2024-10-08T16:00:42Z","snapshot_observed_at":"2026-08-16T14:12:08.943831Z","submitted_at":"2024-03-06T22:32:48Z","title":"Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.04086","snapshot_observed_at":"2026-08-15T23:56:11.390324Z","title":"Automated multi-task learning for joint disease prediction on electronic health records,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:11.390324Z"},"links":{"cited_paper":"/paper/2403.04086","citing_paper":"/paper/2505.06271"},"observation_digest":"sha256:1740b3c5bf32a4bf3e5554f8f17f221689ecb65e681f0eaaeaea756262305f8f","observation_id":"18b89a3c-6d6c-4096-9a0b-bd017e646c60","resolution":{"observed_at":"2026-08-15T23:56:11.390324Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:56:11.776073Z","title":"Pretraining respiratory sound repre- sentations using metadata and contrastive learning,","venue":null,"work_id":"eea64f62-c602-4d73-8328-a338773edc11","year":2023},"citing_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:11.395101Z"},"links":{"citing_paper":"/paper/2505.06271"},"observation_digest":"sha256:1ef565b81ea79bbdc7f51ff8036d72ca4990208beb01b08492a4d2b12f7f0686","observation_id":"b6088f40-add9-4163-8e65-0f862a2c16af","resolution":{"observed_at":"2026-08-15T23:56:11.780846Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:56:11.759165Z","title":"Stethoscope- guided supervised contrastive learning for cross-domain adaptation on respiratory sound classification,","venue":null,"work_id":"0739b2ed-a69d-451f-91db-9316378fad80","year":2024},"citing_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:11.400101Z"},"links":{"citing_paper":"/paper/2505.06271"},"observation_digest":"sha256:84c3d26885031a75216ad42fd130c7a7f52896ae62b09580c62e44ad86cf409f","observation_id":"e6db5b01-eb59-460f-a18e-d83ce5d11599","resolution":{"observed_at":"2026-08-15T23:56:11.764669Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:56:11.743444Z","title":"Bts: Bridging text and sound modalities for metadata-aided respiratory sound classification,","venue":null,"work_id":"ec4effb6-b32c-4855-a8a6-aab43bf44ede","year":2024},"citing_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:11.404715Z"},"links":{"citing_paper":"/paper/2505.06271"},"observation_digest":"sha256:21b13a5fef9f72039887407530eb858e1604401135af59c2333b9f07d124f33e","observation_id":"5daf6475-a1b8-412f-91f8-701262694f8d","resolution":{"observed_at":"2026-08-15T23:56:11.748577Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:56:11.728315Z","title":"Adaptive metadata-guided super- vised contrastive learning for domain adaptation on respiratory sound classification,","venue":null,"work_id":"4d39e24f-2c78-4c49-8772-ad1c12873bce","year":2025},"citing_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:11.409618Z"},"links":{"citing_paper":"/paper/2505.06271"},"observation_digest":"sha256:5c56f298ad03131e3c55cdfa0309a37228413cf7d82c90207213d836f7dbda16","observation_id":"8f091517-f55c-44ea-8f22-b4d6213d6a9b","resolution":{"observed_at":"2026-08-15T23:56:11.733082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:56:11.414047Z","title":"AST: Audio Spectrogram Transformer,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:11.414047Z"},"links":{"citing_paper":"/paper/2505.06271"},"observation_digest":"sha256:71a5c780577eae6f72940f6b97d3cc9663d63c190a9891f27b71a8e9146a8907","observation_id":"44d5540d-d61a-494c-95b0-18ef63a8ded4","resolution":{"observed_at":"2026-08-15T23:56:11.414047Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:56:11.703153Z","title":"Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification,","venue":null,"work_id":"f5331d79-4627-4706-ac85-1d8e09e3180e","year":2023},"citing_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:11.418452Z"},"links":{"citing_paper":"/paper/2505.06271"},"observation_digest":"sha256:357bf5d87d6f9b3cefe5900be8854539dab02c36d9cec0a318289f7c66960d64","observation_id":"ece6899c-dde1-40d0-9fa3-154c82050449","resolution":{"observed_at":"2026-08-15T23:56:11.708035Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:56:11.688577Z","title":"A respiratory sound database for the development of automated classification,","venue":null,"work_id":"97dbe6b6-4151-4606-b542-7f8de4b6a841","year":2017},"citing_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:11.422639Z"},"links":{"citing_paper":"/paper/2505.06271"},"observation_digest":"sha256:c24b445914620f5690ae82f0e55bdb1473261cec5c3823a076c4d1270c12d2fd","observation_id":"8f1d3a75-199c-43fe-9385-7bf5dde2fe58","resolution":{"observed_at":"2026-08-15T23:56:11.693342Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1706.05098","last_updated":"2017-06-15T21:38:12Z","snapshot_observed_at":"2026-08-13T21:53:02.384757Z","submitted_at":"2017-06-15T21:38:12Z","title":"An Overview of Multi-Task Learning in Deep Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.05098","snapshot_observed_at":"2026-08-15T23:56:11.432216Z","title":"An overview of multi-task learning in deep neural net- works,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:11.432216Z"},"links":{"cited_paper":"/paper/1706.05098","citing_paper":"/paper/2505.06271"},"observation_digest":"sha256:8933ec48bd220732c2a64933f470e3ae98cde1d3ae333821b52a5fdeac00e583","observation_id":"e7c6bd77-1509-46af-8968-90c05457fdd7","resolution":{"observed_at":"2026-08-15T23:56:11.432216Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:56:11.661887Z","title":"A bayesian/information theoretic model of learning to learn via multiple task sampling,","venue":null,"work_id":"e074dd30-31f3-4795-87b5-bc7af0cf6673","year":1997},"citing_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:11.437325Z"},"links":{"citing_paper":"/paper/2505.06271"},"observation_digest":"sha256:3fb24378cf6b10281898cb1d3fcefabd8b7ea8b1fd8809dffd0698a9614d86f1","observation_id":"4f8fee8a-f9c0-4cd0-b3b9-38aeb3160c93","resolution":{"observed_at":"2026-08-15T23:56:11.667196Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:56:11.645302Z","title":"Multitask learning: A knowledge-based source of induc- tive bias1,","venue":null,"work_id":"c132d2aa-9b6b-4c05-b69d-40dfd829eeb8","year":1993},"citing_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:11.442501Z"},"links":{"citing_paper":"/paper/2505.06271"},"observation_digest":"sha256:6e7201f901b29fe315695d5d550b890faa25095e82108800773a0c4130772f9f","observation_id":"722091aa-9a2f-46ba-87d3-82f8a12c2d7d","resolution":{"observed_at":"2026-08-15T23:56:11.651215Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:56:11.628445Z","title":"Low resource dependency parsing: Cross-lingual parameter sharing in a neural network parser,","venue":null,"work_id":"f18fabab-b08b-4847-92bd-6927fb71ffeb","year":2015},"citing_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:11.447767Z"},"links":{"citing_paper":"/paper/2505.06271"},"observation_digest":"sha256:5aae21eddcf54125e62d988899506e8b55ced72abdf489e5fc8388a7817d6a7d","observation_id":"dd55b57d-8b6d-427f-af65-d86c5041a476","resolution":{"observed_at":"2026-08-15T23:56:11.633794Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:56:11.453440Z","title":"Respirenet: A deep neural network for accurately detecting abnormal lung sounds in limited data setting,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:11.453440Z"},"links":{"citing_paper":"/paper/2505.06271"},"observation_digest":"sha256:8eb2c750f23049eef2b05265e06037c61aa3f3aa2b0266b355a75634a84e6e57","observation_id":"35dbd5ef-5a1b-4c69-ac36-d7117b70001c","resolution":{"observed_at":"2026-08-15T23:56:11.453440Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:56:11.601092Z","title":"Adversarial fine-tuning using generated respiratory sound to address class imbalance,","venue":null,"work_id":"f0827f0b-cd78-42fd-a2fe-9bca67a77ee0","year":2023},"citing_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:11.457879Z"},"links":{"citing_paper":"/paper/2505.06271"},"observation_digest":"sha256:b0b6dc4026af8a9de8615d2f9d32cb7b23c1c4638d4c7aec6ce108c4773f1466","observation_id":"ef1b0635-6f61-4b3f-947b-e3ea6e7f552c","resolution":{"observed_at":"2026-08-15T23:56:11.606400Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:56:11.583778Z","title":"Repaug- ment: Input-agnostic representation-level augmentation for respiratory sound classification,","venue":null,"work_id":"dd8bb2f7-f7c3-4f23-9d2d-c4b574f960f8","year":2024},"citing_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:11.462443Z"},"links":{"citing_paper":"/paper/2505.06271"},"observation_digest":"sha256:439d1406346c637f199fd637ca3641baea3c28d385c2b88a338af33b19d93d56","observation_id":"2e90ffbb-e2f3-473a-8587-670e3640aa47","resolution":{"observed_at":"2026-08-15T23:56:11.589877Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:56:11.427359Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:11.427359Z"},"links":{"citing_paper":"/paper/2505.06271"},"observation_digest":"sha256:68af0afa9e5a96505cf2cfa5e5ca8366ab8f4d9705077bb15b96ef526c930afb","observation_id":"b9534a30-8c44-4cc8-958b-07c6537c2339","resolution":{"observed_at":"2026-08-15T23:56:11.427359Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.06271","last_updated":"2025-05-06T09:25:15Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-18T17:45:10.224914Z","submitted_at":"2025-05-06T09:25:15Z","title":"Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis"},"reference_resolution":{"displayed":33,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":7,"verified_exact":1,"verified_fuzzy":25},"total_outbound_references":33},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2505.06271."}