{"as_of":"2026-08-10T12:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d51054dacead76f4a294081823a8c1174de676370a58901e6be28c11aa4fb4ac","coverage":[{"denominator":17,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":17,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T23:27:39.539876Z","state":"measured"},{"denominator":17,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":17,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.18281/citation-record","integrity":"/paper/2506.18281/integrity","json":"/paper/2506.18281/citation-record.json","paper":"/paper/2506.18281"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.05757","last_updated":"2025-02-09T03:27:53Z","snapshot_observed_at":"2026-08-08T18:03:01.040770Z","submitted_at":"2025-02-09T03:27:53Z","title":"Large Language Model-based Nonnegative Matrix Factorization For Cardiorespiratory Sound Separation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.05757","snapshot_observed_at":"2026-08-06T23:27:38.047359Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.18281","last_updated":"2025-06-23T04:27:22Z","snapshot_observed_at":"2026-08-09T16:04:48.673174Z","submitted_at":"2025-06-23T04:27:22Z","title":"Blind Source Separation in Biomedical Signals Using Variational Methods","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:38.047359Z"},"links":{"cited_paper":"/paper/2502.05757","citing_paper":"/paper/2506.18281"},"observation_digest":"sha256:6cf3463850dca71f7d104e6d605300ea89c7377b4beccdfc6eac8b7b5b5f8f26","observation_id":"1087b580-1f8b-4c48-8894-0a33491d2816","resolution":{"observed_at":"2026-08-06T23:27:38.047359Z","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":"2026-08-06T23:27:41.185050Z","title":"P., & Gauvreau, G","venue":null,"work_id":"e983f7ef-0add-459e-9ef8-080045cba537","year":2024},"citing_paper":{"arxiv_id":"2506.18281","last_updated":"2025-06-23T04:27:22Z","snapshot_observed_at":"2026-08-09T16:04:48.673174Z","submitted_at":"2025-06-23T04:27:22Z","title":"Blind Source Separation in Biomedical Signals Using Variational Methods","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:38.143221Z"},"links":{"citing_paper":"/paper/2506.18281"},"observation_digest":"sha256:70bb9799f02cdb0b0c0f4b553a2589bee777b6b4ac696ae23982eb10041fe3b9","observation_id":"8d37357f-de1a-47d8-9e4e-07c7931c56ee","resolution":{"observed_at":"2026-08-06T23:27:41.269393Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.01889","last_updated":"2025-02-25T14:21:50Z","snapshot_observed_at":"2026-08-09T23:23:35.783650Z","submitted_at":"2023-05-03T04:34:19Z","title":"A New Non-Negative Matrix Factorization Approach for Blind Source Separation of Cardiovascular and Respiratory Sound Based on the Periodicity of Heart and Lung Function","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.01889","snapshot_observed_at":"2026-08-06T23:27:38.258406Z","title":"P., & Gauvreau, G","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.18281","last_updated":"2025-06-23T04:27:22Z","snapshot_observed_at":"2026-08-09T16:04:48.673174Z","submitted_at":"2025-06-23T04:27:22Z","title":"Blind Source Separation in Biomedical Signals Using Variational Methods","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:38.258406Z"},"links":{"cited_paper":"/paper/2305.01889","citing_paper":"/paper/2506.18281"},"observation_digest":"sha256:7c61918d1301c95af5fd8f70c6c1829179546a66369fc0c6e5d5c3dc594dcd4a","observation_id":"af5a9dcb-e3d3-4687-b169-396699555801","resolution":{"observed_at":"2026-08-06T23:27:38.258406Z","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":"2026-08-06T23:27:41.048884Z","title":null,"venue":null,"work_id":"8c62e92c-efa1-4bdc-9fd9-c36dea72b512","year":2022},"citing_paper":{"arxiv_id":"2506.18281","last_updated":"2025-06-23T04:27:22Z","snapshot_observed_at":"2026-08-09T16:04:48.673174Z","submitted_at":"2025-06-23T04:27:22Z","title":"Blind Source Separation in Biomedical Signals Using Variational Methods","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:38.340942Z"},"links":{"citing_paper":"/paper/2506.18281"},"observation_digest":"sha256:b4ce8837f116bfb0078809367a0bf389df2669bf716ab677eb7145c0d011aa6f","observation_id":"f7299aaa-ac2d-47ef-9f18-7730c62b4593","resolution":{"observed_at":"2026-08-06T23:27:41.111751Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:27:38.454936Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.18281","last_updated":"2025-06-23T04:27:22Z","snapshot_observed_at":"2026-08-09T16:04:48.673174Z","submitted_at":"2025-06-23T04:27:22Z","title":"Blind Source Separation in Biomedical Signals Using Variational Methods","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:38.454936Z"},"links":{"citing_paper":"/paper/2506.18281"},"observation_digest":"sha256:1d3905bc855218807b6ef4a6e5ec427650d234ea300caf7e827a293ca437cc2f","observation_id":"50ed411f-01c7-4db4-8985-5ae1688ad3ef","resolution":{"observed_at":"2026-08-06T23:27:38.454936Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:38.540113Z","title":"Clinical IoT in Practice: A Novel Design and Implementation of a Multi-functional Digital Stethoscope for Remote Health Monitoring,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.18281","last_updated":"2025-06-23T04:27:22Z","snapshot_observed_at":"2026-08-09T16:04:48.673174Z","submitted_at":"2025-06-23T04:27:22Z","title":"Blind Source Separation in Biomedical Signals Using Variational Methods","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:38.540113Z"},"links":{"citing_paper":"/paper/2506.18281"},"observation_digest":"sha256:31f2bc32f6bcc01bc644fff75fc7ec6bf2a753b121dd2d4223d76e51f1c7c6f6","observation_id":"31980700-a3b6-4105-87e9-c81cfcb62c39","resolution":{"observed_at":"2026-08-06T23:27:38.540113Z","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":"2026-08-06T23:27:40.884292Z","title":null,"venue":null,"work_id":"992fef2b-33b5-420d-bb79-a38cacc8e8ee","year":2025},"citing_paper":{"arxiv_id":"2506.18281","last_updated":"2025-06-23T04:27:22Z","snapshot_observed_at":"2026-08-09T16:04:48.673174Z","submitted_at":"2025-06-23T04:27:22Z","title":"Blind Source Separation in Biomedical Signals Using Variational Methods","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:38.652654Z"},"links":{"citing_paper":"/paper/2506.18281"},"observation_digest":"sha256:a335bc69270f153499cd7a11701508ae6ef9f057822aa3d89bd7f6456685a8c8","observation_id":"f93d3965-92d1-461e-acb6-cf2a0df209a3","resolution":{"observed_at":"2026-08-06T23:27:40.953779Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:27:40.699147Z","title":null,"venue":null,"work_id":"a3f59269-4627-4473-b1fe-49d520315af2","year":2024},"citing_paper":{"arxiv_id":"2506.18281","last_updated":"2025-06-23T04:27:22Z","snapshot_observed_at":"2026-08-09T16:04:48.673174Z","submitted_at":"2025-06-23T04:27:22Z","title":"Blind Source Separation in Biomedical Signals Using Variational Methods","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:38.760815Z"},"links":{"citing_paper":"/paper/2506.18281"},"observation_digest":"sha256:5dafd95d8b21ff21b7996caf9c20685fbf41befb2a50e0034002ba34c20d4309","observation_id":"c4b1ddf4-c314-4933-b707-31ed0c2c0194","resolution":{"observed_at":"2026-08-06T23:27:40.765961Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:27:40.579138Z","title":null,"venue":null,"work_id":"e70fa0b9-f3c4-4ad6-b233-6bdd4e4931d0","year":2024},"citing_paper":{"arxiv_id":"2506.18281","last_updated":"2025-06-23T04:27:22Z","snapshot_observed_at":"2026-08-09T16:04:48.673174Z","submitted_at":"2025-06-23T04:27:22Z","title":"Blind Source Separation in Biomedical Signals Using Variational Methods","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:38.887796Z"},"links":{"citing_paper":"/paper/2506.18281"},"observation_digest":"sha256:ecc10fe13a57a0e81d5d13f6128111cad6ae0455e60f45ad4abf698650a802f5","observation_id":"7e95e094-57f8-47b6-b0ec-8a5b1ef0c8a7","resolution":{"observed_at":"2026-08-06T23:27:40.618573Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:27:40.437808Z","title":null,"venue":null,"work_id":"0e34db24-5ba8-460f-9ed9-6a098dfaa5df","year":2025},"citing_paper":{"arxiv_id":"2506.18281","last_updated":"2025-06-23T04:27:22Z","snapshot_observed_at":"2026-08-09T16:04:48.673174Z","submitted_at":"2025-06-23T04:27:22Z","title":"Blind Source Separation in Biomedical Signals Using Variational Methods","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:38.984851Z"},"links":{"citing_paper":"/paper/2506.18281"},"observation_digest":"sha256:9899fe5c4d8edc640a12acf0c7c500784fe164903b4441928ed019a95f25e15d","observation_id":"6a9b4916-83dd-41da-a3f5-da4058daaab4","resolution":{"observed_at":"2026-08-06T23:27:40.511098Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:27:40.279129Z","title":null,"venue":null,"work_id":"1a1c8d33-a9a2-4d65-b742-3f46e8bc2301","year":2025},"citing_paper":{"arxiv_id":"2506.18281","last_updated":"2025-06-23T04:27:22Z","snapshot_observed_at":"2026-08-09T16:04:48.673174Z","submitted_at":"2025-06-23T04:27:22Z","title":"Blind Source Separation in Biomedical Signals Using Variational Methods","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:39.107434Z"},"links":{"citing_paper":"/paper/2506.18281"},"observation_digest":"sha256:8a561c96ca1a4a81ca8d2e90dc5a3a1c77ab3090bcedfac3f6f9d11c03581a3d","observation_id":"de5c966f-5363-48c3-af2b-d0930887ad97","resolution":{"observed_at":"2026-08-06T23:27:40.366185Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:27:40.179300Z","title":null,"venue":null,"work_id":"eca86e4d-1490-41be-9495-470f5b8d5506","year":2024},"citing_paper":{"arxiv_id":"2506.18281","last_updated":"2025-06-23T04:27:22Z","snapshot_observed_at":"2026-08-09T16:04:48.673174Z","submitted_at":"2025-06-23T04:27:22Z","title":"Blind Source Separation in Biomedical Signals Using Variational Methods","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:39.186596Z"},"links":{"citing_paper":"/paper/2506.18281"},"observation_digest":"sha256:19a79ea87968c6db687df2b7545b6cb841c5df5413dda6b86aa4f61e5cbb89bd","observation_id":"13e7ca4e-d7b8-40bb-8f35-4345b290751d","resolution":{"observed_at":"2026-08-06T23:27:40.234854Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:27:40.013852Z","title":null,"venue":null,"work_id":"ff5e81b3-c39a-4ba4-b537-5fdb36a8a110","year":2024},"citing_paper":{"arxiv_id":"2506.18281","last_updated":"2025-06-23T04:27:22Z","snapshot_observed_at":"2026-08-09T16:04:48.673174Z","submitted_at":"2025-06-23T04:27:22Z","title":"Blind Source Separation in Biomedical Signals Using Variational Methods","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:39.232404Z"},"links":{"citing_paper":"/paper/2506.18281"},"observation_digest":"sha256:697f5900d52a34566df11062da1e356d57bfdbcb5620c3b4407f494439da77eb","observation_id":"befaec64-2eb5-42cf-9c15-d77cb7e428e4","resolution":{"observed_at":"2026-08-06T23:27:40.092736Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:27:39.320770Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.18281","last_updated":"2025-06-23T04:27:22Z","snapshot_observed_at":"2026-08-09T16:04:48.673174Z","submitted_at":"2025-06-23T04:27:22Z","title":"Blind Source Separation in Biomedical Signals Using Variational Methods","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:39.320770Z"},"links":{"citing_paper":"/paper/2506.18281"},"observation_digest":"sha256:36f602db5bac7bb45bcb626e44486f87ba0c9eb391540fc2ad5b5c03513c1bf3","observation_id":"24f6b8ac-580a-4317-8d49-380e10adbed3","resolution":{"observed_at":"2026-08-06T23:27:39.320770Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.05405","last_updated":"2024-12-06T20:16:00Z","snapshot_observed_at":"2026-08-09T16:04:28.507321Z","submitted_at":"2024-12-06T20:16:00Z","title":"Design and Implementation of an IoT-based Respiratory Motion Sensor","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.05405","snapshot_observed_at":"2026-08-06T23:27:39.393170Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.18281","last_updated":"2025-06-23T04:27:22Z","snapshot_observed_at":"2026-08-09T16:04:48.673174Z","submitted_at":"2025-06-23T04:27:22Z","title":"Blind Source Separation in Biomedical Signals Using Variational Methods","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:39.393170Z"},"links":{"cited_paper":"/paper/2412.05405","citing_paper":"/paper/2506.18281"},"observation_digest":"sha256:183aa66b26434f478b90318a96295696d58e69405e2328bad19f4ea6fc59ba96","observation_id":"0417ad29-13cc-4a0a-b00c-32c0f1173be1","resolution":{"observed_at":"2026-08-06T23:27:39.393170Z","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":"2026-08-06T23:27:39.829091Z","title":"H., Dolamic, L., & Frossard, P","venue":null,"work_id":"05baf920-f0e8-4213-8d5c-f95407aed454","year":2023},"citing_paper":{"arxiv_id":"2506.18281","last_updated":"2025-06-23T04:27:22Z","snapshot_observed_at":"2026-08-09T16:04:48.673174Z","submitted_at":"2025-06-23T04:27:22Z","title":"Blind Source Separation in Biomedical Signals Using Variational Methods","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:39.452923Z"},"links":{"citing_paper":"/paper/2506.18281"},"observation_digest":"sha256:c4190879886fd9fd6e645bebd9170b4cf5658cfd652d8521e8f15cf6e8e956f0","observation_id":"dae1bfef-6d00-48e4-90db-f3ffa18edf32","resolution":{"observed_at":"2026-08-06T23:27:39.900033Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T23:27:39.539876Z","title":"Descriptor: Heart and Lung Sounds Dataset Recorded From a Clinical Manikin Using Digital Stethoscope (HLS-CMDS),","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.18281","last_updated":"2025-06-23T04:27:22Z","snapshot_observed_at":"2026-08-09T16:04:48.673174Z","submitted_at":"2025-06-23T04:27:22Z","title":"Blind Source Separation in Biomedical Signals Using Variational Methods","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:39.539876Z"},"links":{"citing_paper":"/paper/2506.18281"},"observation_digest":"sha256:f00d2e9d4e6e577e32f9b1569f5ea27ca0672b5c21e5a954ef959df8b9f1a2b0","observation_id":"9b1bad75-95ba-4f9c-98b9-036185af3946","resolution":{"observed_at":"2026-08-06T23:27:39.539876Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.18281","last_updated":"2025-06-23T04:27:22Z","latest_version":1,"primary_category":"eess.AS","snapshot_observed_at":"2026-08-09T16:04:48.673174Z","submitted_at":"2025-06-23T04:27:22Z","title":"Blind Source Separation in Biomedical Signals Using Variational Methods"},"reference_resolution":{"displayed":17,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":15,"verified_exact":0,"verified_fuzzy":2},"total_outbound_references":17},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2506.18281."}