{"as_of":"2026-08-10T01:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:06f5fdf0d5c3f0510ee3430581599b77081266f04db0ccd2f8395ad482664c46","coverage":[{"denominator":20,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":20,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-28T12:54:01.399201Z","state":"measured"},{"denominator":21,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":21,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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":"2026-06-26T06:29:47.375464Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-04T12:39:49.125131Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2606.02448","last_updated":"2026-06-01T16:19:22Z","snapshot_observed_at":"2026-08-04T13:12:21.982995Z","submitted_at":"2026-06-01T16:19:22Z","title":"Diffusion-Based Heart Sound Generation: Evaluation with Physiological Signal Metrics, Classifiers, and Expert Listening","version":1},"cited_work":{"arxiv_id":"2606.02448","doi":null,"metadata_source":"pith","pith_arxiv_id":"2606.02448","snapshot_observed_at":"2026-07-04T12:39:49.125131Z","title":"Diffusion-Based Heart Sound Generation: Evaluation with Physiological Signal Metrics, Classifiers, and Expert Listening","venue":"eess.SP","work_id":"3f7ff3a0-dc14-4202-a96b-fb02b3d6f2ef","year":2026},"citing_paper":{"arxiv_id":"2606.23864","last_updated":"2026-06-22T19:03:45Z","snapshot_observed_at":"2026-08-03T17:45:33.397556Z","submitted_at":"2026-06-22T19:03:45Z","title":"Generative Modeling for Physiological Signals","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-26T06:29:47.375464Z"},"links":{"cited_paper":"/paper/2606.02448","citing_paper":"/paper/2606.23864"},"observation_digest":"sha256:80eca144a9a41d0b96093cc9fe73584a1215b5c9e1ea809ec8baa13a44779263","observation_id":"dc346f74-dc4f-4972-8b73-563c100b4373","resolution":{"observed_at":"2026-07-04T12:39:49.126620Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2606.02448/citation-record","integrity":"/paper/2606.02448/integrity","json":"/paper/2606.02448/citation-record.json","paper":"/paper/2606.02448"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T12:54:01.399201Z","title":"Cardiovascular diseases (CVDs),","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.02448","last_updated":"2026-06-01T16:19:22Z","snapshot_observed_at":"2026-08-04T13:12:21.982995Z","submitted_at":"2026-06-01T16:19:22Z","title":"Diffusion-Based Heart Sound Generation: Evaluation with Physiological Signal Metrics, Classifiers, and Expert Listening","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-28T12:54:01.399201Z"},"links":{"citing_paper":"/paper/2606.02448"},"observation_digest":"sha256:7ab6e6423065bd8f8efb381abb1b3e556d10723cfde43bcbb79dd1ad7dbd890b","observation_id":"74b6a8a0-cf6f-4366-837a-d69f21326db1","resolution":{"observed_at":"2026-06-28T12:54:01.399201Z","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":"10.1136/bmjopen-2022-068121","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Diagnostic accuracy of heart auscultation for detecting valve disease: a systematic review,","venue":"BMJ Open","work_id":"7a4458f0-7cf6-4dd1-a6e8-4bfde494c771","year":2023},"citing_paper":{"arxiv_id":"2606.02448","last_updated":"2026-06-01T16:19:22Z","snapshot_observed_at":"2026-08-04T13:12:21.982995Z","submitted_at":"2026-06-01T16:19:22Z","title":"Diffusion-Based Heart Sound Generation: Evaluation with Physiological Signal Metrics, Classifiers, and Expert Listening","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-28T12:54:01.399201Z"},"links":{"citing_paper":"/paper/2606.02448"},"observation_digest":"sha256:15958dacb1d6038ed367e9b0fe097807efe2d8b984f94b08be82ebb41a367f70","observation_id":"001bc8ae-2bd7-4e0b-8182-e4791f373e8b","resolution":{"observed_at":"2026-06-28T15:42:22.148560Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.hlc.2025.06.518","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Evaluating diagnostic accuracy and clinician variability in auscultation-based identification of valvular heart disease,","venue":"Heart Lung and Circulation","work_id":"9ba8f091-6728-4841-9f8f-51fb4edb7051","year":2025},"citing_paper":{"arxiv_id":"2606.02448","last_updated":"2026-06-01T16:19:22Z","snapshot_observed_at":"2026-08-04T13:12:21.982995Z","submitted_at":"2026-06-01T16:19:22Z","title":"Diffusion-Based Heart Sound Generation: Evaluation with Physiological Signal Metrics, Classifiers, and Expert Listening","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-28T12:54:01.399201Z"},"links":{"citing_paper":"/paper/2606.02448"},"observation_digest":"sha256:d9cc360d05e7c8d85f38ee801b302fd613513cae061956b11b7a25ab31a36e5d","observation_id":"094fb28f-5171-457e-88ed-6a09f207f601","resolution":{"observed_at":"2026-06-28T15:42:22.143143Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1161/jaha.123.030377","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Deep learning algorithms to detect murmurs associated with valvular heart disease,","venue":"Journal of the American Heart Association","work_id":"2e57e958-5f02-45f3-962b-ef24e94c6db2","year":2023},"citing_paper":{"arxiv_id":"2606.02448","last_updated":"2026-06-01T16:19:22Z","snapshot_observed_at":"2026-08-04T13:12:21.982995Z","submitted_at":"2026-06-01T16:19:22Z","title":"Diffusion-Based Heart Sound Generation: Evaluation with Physiological Signal Metrics, Classifiers, and Expert Listening","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-28T12:54:01.399201Z"},"links":{"citing_paper":"/paper/2606.02448"},"observation_digest":"sha256:6bb483e3178629e5297d3db814083d03dbeae397c6ccf3dfc9c280ddb73f78d7","observation_id":"13c199cd-aec0-4901-a438-d114541eab28","resolution":{"observed_at":"2026-06-28T15:42:22.144943Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.22489/cinc.2016.179-154","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Classification of normal/abnormal heart sound recordings: the PhysioNet/Computing in Cardiology Challenge 2016,","venue":"Computing in cardiology","work_id":"1a51af58-332d-4588-ac7e-cba899642c80","year":2016},"citing_paper":{"arxiv_id":"2606.02448","last_updated":"2026-06-01T16:19:22Z","snapshot_observed_at":"2026-08-04T13:12:21.982995Z","submitted_at":"2026-06-01T16:19:22Z","title":"Diffusion-Based Heart Sound Generation: Evaluation with Physiological Signal Metrics, Classifiers, and Expert Listening","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-28T12:54:01.399201Z"},"links":{"citing_paper":"/paper/2606.02448"},"observation_digest":"sha256:0ee3288c6a629a09666fb5e7508fc957eb6c7bb4dffa0024ccbbff070c0e3a3d","observation_id":"5150422b-c147-4d75-a64d-d783356b0d7f","resolution":{"observed_at":"2026-06-28T15:42:22.146803Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2021.313704","doi":"10.1109/jbhi.2021.3137048","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Oliveira, F","venue":"IEEE Journal of Biomedical and Health Informatics","work_id":"af7071f1-eb88-4502-af8c-fcfdae208205","year":2022},"citing_paper":{"arxiv_id":"2606.02448","last_updated":"2026-06-01T16:19:22Z","snapshot_observed_at":"2026-08-04T13:12:21.982995Z","submitted_at":"2026-06-01T16:19:22Z","title":"Diffusion-Based Heart Sound Generation: Evaluation with Physiological Signal Metrics, Classifiers, and Expert Listening","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-28T12:54:01.399201Z"},"links":{"citing_paper":"/paper/2606.02448"},"observation_digest":"sha256:da6161003168c9974e1e5c217871e8a2ad12efb14bdef7f589a00971bfa659d9","observation_id":"3e2c2a4c-dd16-4253-b455-a93fc3821ca6","resolution":{"observed_at":"2026-06-28T15:42:22.129999Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/app10197003","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Synthesis of normal heart sounds using generative adversarial networks and empirical wavelet trans- form,","venue":"Applied Sciences","work_id":"2cc7b70f-ad9c-4c3c-be92-92f0b0130142","year":2020},"citing_paper":{"arxiv_id":"2606.02448","last_updated":"2026-06-01T16:19:22Z","snapshot_observed_at":"2026-08-04T13:12:21.982995Z","submitted_at":"2026-06-01T16:19:22Z","title":"Diffusion-Based Heart Sound Generation: Evaluation with Physiological Signal Metrics, Classifiers, and Expert Listening","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-28T12:54:01.399201Z"},"links":{"citing_paper":"/paper/2606.02448"},"observation_digest":"sha256:1d865c3adc6021699e9d0401536f744557e58865f71bf1834dffcc00b3a7094e","observation_id":"68ff0b5a-f86a-4df6-8223-a5fb4903dae9","resolution":{"observed_at":"2026-06-28T15:42:22.150308Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2025.108469","doi":"10.1016/j.bspc.2025.108469","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Genera- tive deep learning and signal processing for data augmentation of cardiac auscultation signals: improving model robustness using synthetic audio,","venue":"Biomedical Signal Processing and Control","work_id":"dfe9e155-86c7-4ad2-beb5-84259dcb5b98","year":2026},"citing_paper":{"arxiv_id":"2606.02448","last_updated":"2026-06-01T16:19:22Z","snapshot_observed_at":"2026-08-04T13:12:21.982995Z","submitted_at":"2026-06-01T16:19:22Z","title":"Diffusion-Based Heart Sound Generation: Evaluation with Physiological Signal Metrics, Classifiers, and Expert Listening","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-28T12:54:01.399201Z"},"links":{"citing_paper":"/paper/2606.02448"},"observation_digest":"sha256:c6c59cfce52314e633e489c3da8a3de149413ddd816cef8a50dbb11c63a8d796","observation_id":"9b7a162d-c94e-4920-b52e-d9a4184b1ab4","resolution":{"observed_at":"2026-06-28T15:42:22.139566Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/bioengineer-","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T15:42:22.140148Z","title":"BioDiffusion: a ver- satile diffusion model for biomedical signal synthesis,","venue":null,"work_id":"7d01672f-d710-4f44-9cd8-64d74f8b7c7a","year":2024},"citing_paper":{"arxiv_id":"2606.02448","last_updated":"2026-06-01T16:19:22Z","snapshot_observed_at":"2026-08-04T13:12:21.982995Z","submitted_at":"2026-06-01T16:19:22Z","title":"Diffusion-Based Heart Sound Generation: Evaluation with Physiological Signal Metrics, Classifiers, and Expert Listening","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-28T12:54:01.399201Z"},"links":{"citing_paper":"/paper/2606.02448"},"observation_digest":"sha256:97a262dadf0bcccdb56b163b7a406ea2511e516f31a8f29929c132b7a517eb7c","observation_id":"817cb8fe-bb84-42c7-bc6f-fddeade6b54e","resolution":{"observed_at":"2026-06-28T15:42:22.141307Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.01875","last_updated":"2024-05-03T08:25:54Z","snapshot_observed_at":"2026-07-06T15:37:23.958419Z","submitted_at":"2023-06-02T19:08:31Z","title":"DiffECG: A Versatile Probabilistic Diffusion Model for ECG Signals Synthesis","version":3},"cited_work":{"arxiv_id":"2306.01875","doi":"10.48550/arxiv.2306.01875","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.01875","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Nour Neifar, Achraf Ben-Hamadou, Afef Mdhaffar, and Mohamed Jmaiel","venue":"arXiv (Cornell University)","work_id":"8ed2ec2f-e5b9-45ba-bcf0-bcd967be67b5","year":2023},"citing_paper":{"arxiv_id":"2606.02448","last_updated":"2026-06-01T16:19:22Z","snapshot_observed_at":"2026-08-04T13:12:21.982995Z","submitted_at":"2026-06-01T16:19:22Z","title":"Diffusion-Based Heart Sound Generation: Evaluation with Physiological Signal Metrics, Classifiers, and Expert Listening","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-28T12:54:01.399201Z"},"links":{"cited_paper":"/paper/2306.01875","citing_paper":"/paper/2606.02448"},"observation_digest":"sha256:bf9b1b749cf21b14e327d26fa06044d5615865bc2e58b2eb052b0bf29f43a01d","observation_id":"96690076-80db-496d-9b3e-5b83cbb2bfff","resolution":{"observed_at":"2026-06-28T15:42:22.136732Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.24963/ijcai.2025/890","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"DiffECG: diffusion model- powered label-efficient and personalized arrhythmia diagnosis,","venue":null,"work_id":"5a881192-ce1d-409f-8185-574b2d3145cc","year":2025},"citing_paper":{"arxiv_id":"2606.02448","last_updated":"2026-06-01T16:19:22Z","snapshot_observed_at":"2026-08-04T13:12:21.982995Z","submitted_at":"2026-06-01T16:19:22Z","title":"Diffusion-Based Heart Sound Generation: Evaluation with Physiological Signal Metrics, Classifiers, and Expert Listening","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-28T12:54:01.399201Z"},"links":{"citing_paper":"/paper/2606.02448"},"observation_digest":"sha256:92cb806e12a8bc205845cd3099a533c45735ef512906d2a77e58364c26419f6a","observation_id":"1fc4e206-6196-4e16-958e-e974778ecf28","resolution":{"observed_at":"2026-06-28T15:42:22.163178Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/s22062261","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The effect of signal duration on the classification of heart sounds: a deep learning approach,","venue":"Sensors","work_id":"92d9da41-fde2-4377-b26a-0ad630456d84","year":2022},"citing_paper":{"arxiv_id":"2606.02448","last_updated":"2026-06-01T16:19:22Z","snapshot_observed_at":"2026-08-04T13:12:21.982995Z","submitted_at":"2026-06-01T16:19:22Z","title":"Diffusion-Based Heart Sound Generation: Evaluation with Physiological Signal Metrics, Classifiers, and Expert Listening","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-28T12:54:01.399201Z"},"links":{"citing_paper":"/paper/2606.02448"},"observation_digest":"sha256:fbba0ed00fe09546ca534d2ed4ad79a0a1d0a5d326112e44789e191c8c5f7dee","observation_id":"b2460a8f-f563-4d8f-b165-f74f5f6f3560","resolution":{"observed_at":"2026-06-28T15:42:22.133886Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02502","last_updated":"2022-10-05T20:19:21Z","snapshot_observed_at":"2026-07-06T10:01:50.133383Z","submitted_at":"2020-10-06T06:15:51Z","title":"Denoising Diffusion Implicit Models","version":4},"cited_work":{"arxiv_id":"2010.02502","doi":"10.48550/arxiv.2010.02502","metadata_source":"pith","pith_arxiv_id":"2010.02502","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Denoising Diffusion Implicit Models","venue":"cs.LG","work_id":"8fa2128b-d18c-405c-ac92-0e669cf89ac0","year":2020},"citing_paper":{"arxiv_id":"2606.02448","last_updated":"2026-06-01T16:19:22Z","snapshot_observed_at":"2026-08-04T13:12:21.982995Z","submitted_at":"2026-06-01T16:19:22Z","title":"Diffusion-Based Heart Sound Generation: Evaluation with Physiological Signal Metrics, Classifiers, and Expert Listening","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-28T12:54:01.399201Z"},"links":{"cited_paper":"/paper/2010.02502","citing_paper":"/paper/2606.02448"},"observation_digest":"sha256:36911bf9637b0fea723106f7836ec2e5bada9106bbbe39c4f51f0da2539e0bcf","observation_id":"33b44c56-0336-4b8f-bc27-c0d07d1ff8f3","resolution":{"observed_at":"2026-06-28T15:42:22.154404Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-07-12T13:49:41.147667+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T13:49:41.147667+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2023.100093","doi":"10.1016/j.bea.2023.100093","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Time-frequency distributions of heart sound signals: a comparative study using convolutional neural networks,","venue":"Biomedical Engineering Advances","work_id":"ee8465b2-a281-409b-a7fd-abd000c02834","year":2023},"citing_paper":{"arxiv_id":"2606.02448","last_updated":"2026-06-01T16:19:22Z","snapshot_observed_at":"2026-08-04T13:12:21.982995Z","submitted_at":"2026-06-01T16:19:22Z","title":"Diffusion-Based Heart Sound Generation: Evaluation with Physiological Signal Metrics, Classifiers, and Expert Listening","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-28T12:54:01.399201Z"},"links":{"citing_paper":"/paper/2606.02448"},"observation_digest":"sha256:5c4ceba9364f1bf1d9dfea517036dd0510ed31574562c149e65e44895b757a18","observation_id":"818093ce-6b05-41a8-b134-fd866ae894a0","resolution":{"observed_at":"2026-06-28T15:42:22.156945Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.22489/cinc.2022.439","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T15:42:22.163707Z","title":"Hierarchical multi- scale convolutional network for murmurs detection on PCG signals,","venue":null,"work_id":"495a9012-33b6-45bd-b2a3-0e48dea8aadc","year":2022},"citing_paper":{"arxiv_id":"2606.02448","last_updated":"2026-06-01T16:19:22Z","snapshot_observed_at":"2026-08-04T13:12:21.982995Z","submitted_at":"2026-06-01T16:19:22Z","title":"Diffusion-Based Heart Sound Generation: Evaluation with Physiological Signal Metrics, Classifiers, and Expert Listening","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-28T12:54:01.399201Z"},"links":{"citing_paper":"/paper/2606.02448"},"observation_digest":"sha256:f5d17bb71befa29397e1587de84defd471b8c86d2530b280ce1bff8a43c32893","observation_id":"1256157a-207d-459f-b257-afa42a92a2fd","resolution":{"observed_at":"2026-06-28T15:42:22.164901Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.22489/cinc.2022.355","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Dual Bayesian ResNet: a deep learning approach to heart murmur detection,","venue":"Computing in cardiology","work_id":"ada08015-dab1-4fad-bdca-10d8ae6c9470","year":2022},"citing_paper":{"arxiv_id":"2606.02448","last_updated":"2026-06-01T16:19:22Z","snapshot_observed_at":"2026-08-04T13:12:21.982995Z","submitted_at":"2026-06-01T16:19:22Z","title":"Diffusion-Based Heart Sound Generation: Evaluation with Physiological Signal Metrics, Classifiers, and Expert Listening","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-28T12:54:01.399201Z"},"links":{"citing_paper":"/paper/2606.02448"},"observation_digest":"sha256:f79bb4357344ca375340b85ce09b5e2ba44942510ba89efaa67160e72aaa4301","observation_id":"6a23b5f6-3684-4dbf-a039-59509034c604","resolution":{"observed_at":"2026-06-28T15:42:22.152007Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/mele-","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T15:42:22.159852Z","title":"Signal statistics of heart sound recordings: a comparative study between smartphones and elec- tronic stethoscopes,","venue":null,"work_id":"bd9ac04b-c27d-4362-ac5a-3d6fab695470","year":2024},"citing_paper":{"arxiv_id":"2606.02448","last_updated":"2026-06-01T16:19:22Z","snapshot_observed_at":"2026-08-04T13:12:21.982995Z","submitted_at":"2026-06-01T16:19:22Z","title":"Diffusion-Based Heart Sound Generation: Evaluation with Physiological Signal Metrics, Classifiers, and Expert Listening","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-28T12:54:01.399201Z"},"links":{"citing_paper":"/paper/2606.02448"},"observation_digest":"sha256:ce0d9dedd5e30835964ce32573f706f0d838486f19c9f9ef3bd0518d80ec5c69","observation_id":"d77ce640-b150-4320-9c13-2052e28f2037","resolution":{"observed_at":"2026-06-28T15:42:22.161125Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-06-28T12:54:01.399201Z","title":"Diffusion models beat GANs on image synthesis,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.02448","last_updated":"2026-06-01T16:19:22Z","snapshot_observed_at":"2026-08-04T13:12:21.982995Z","submitted_at":"2026-06-01T16:19:22Z","title":"Diffusion-Based Heart Sound Generation: Evaluation with Physiological Signal Metrics, Classifiers, and Expert Listening","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-28T12:54:01.399201Z"},"links":{"citing_paper":"/paper/2606.02448"},"observation_digest":"sha256:42f4aea6f44e506be16a02ea7d41c0b4dd8aff27820fbbffb40f37f13b7094a0","observation_id":"2093a3b6-b702-469c-a60d-7aab9d9f9837","resolution":{"observed_at":"2026-06-28T12:54:01.399201Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.12598","last_updated":"2022-07-26T01:42:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-07-26T01:42:07Z","title":"Classifier-Free Diffusion Guidance","version":1},"cited_work":{"arxiv_id":"2207.12598","doi":"10.1109/cvpr52733.2024.02494","metadata_source":"pith","pith_arxiv_id":"2207.12598","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Classifier-Free Diffusion Guidance","venue":"cs.LG","work_id":"acf2c588-c088-4a6c-938e-150ad7c666d7","year":2022},"citing_paper":{"arxiv_id":"2606.02448","last_updated":"2026-06-01T16:19:22Z","snapshot_observed_at":"2026-08-04T13:12:21.982995Z","submitted_at":"2026-06-01T16:19:22Z","title":"Diffusion-Based Heart Sound Generation: Evaluation with Physiological Signal Metrics, Classifiers, and Expert Listening","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-28T12:54:01.399201Z"},"links":{"cited_paper":"/paper/2207.12598","citing_paper":"/paper/2606.02448"},"observation_digest":"sha256:903c06f894234e64d87c8b1cb4fc8328026970938255724f8de8f46529560c6d","observation_id":"c31812b8-1cb5-4c96-993b-579d6ad15591","resolution":{"observed_at":"2026-06-28T15:42:22.159321Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1371/journal.pdig.0000324","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Heart murmur detection from phonocardiogram recordings: the George B. Moody PhysioNet Challenge 2022,","venue":"PLOS Digital Health","work_id":"9c47ca7f-e30d-40aa-a5e9-08055ddf3d3d","year":2022},"citing_paper":{"arxiv_id":"2606.02448","last_updated":"2026-06-01T16:19:22Z","snapshot_observed_at":"2026-08-04T13:12:21.982995Z","submitted_at":"2026-06-01T16:19:22Z","title":"Diffusion-Based Heart Sound Generation: Evaluation with Physiological Signal Metrics, Classifiers, and Expert Listening","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-28T12:54:01.399201Z"},"links":{"citing_paper":"/paper/2606.02448"},"observation_digest":"sha256:4fd1600b90c4f5bb33b7419d389cd22b76fe8424a5580b8fbcfae5848bb2ba01","observation_id":"c93cd34c-2143-4b41-b2cc-9be1f6153a41","resolution":{"observed_at":"2026-06-28T15:42:22.131959Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2606.02448","last_updated":"2026-06-01T16:19:22Z","latest_version":1,"primary_category":"eess.SP","snapshot_observed_at":"2026-08-04T13:12:21.982995Z","submitted_at":"2026-06-01T16:19:22Z","title":"Diffusion-Based Heart Sound Generation: Evaluation with Physiological Signal Metrics, Classifiers, and Expert Listening"},"reference_resolution":{"displayed":20,"state_counts":{"malformed_identifier":2,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":2,"verified_exact":13,"verified_fuzzy":0},"total_outbound_references":20},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:2606.02448."}