{"as_of":"2026-08-14T11:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:eaf4a58f9f0a464602fffd98270b0f18684a30decfab4610ef7a88565c8400e3","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T04:51:58.191931Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":3,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2006.05919","last_updated":"2021-01-18T07:08:54Z","snapshot_observed_at":"2026-08-09T22:30:33.431779Z","submitted_at":"2020-06-10T16:13:06Z","title":"Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data","version":3},"cited_work":{"arxiv_id":"2006.05919","doi":"10.48550/arxiv.2006.05919","metadata_source":"arxiv_reference","pith_arxiv_id":"2006.05919","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Exploring automatic diagnosis of covid-19 from crowdsourced respiratory sound data","venue":"arXiv (Cornell University)","work_id":"475a7af6-ff70-46b7-a05a-e7008541bd91","year":2020},"citing_paper":{"arxiv_id":"2402.07619","last_updated":"2026-05-12T08:04:51Z","snapshot_observed_at":"2026-08-08T05:19:30.775800Z","submitted_at":"2024-02-12T12:52:47Z","title":"Developing a Multi-variate Prediction Model For COVID-19 From Crowd-sourced Respiratory Voice Data","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-24T03:53:46.500616Z"},"links":{"cited_paper":"/paper/2006.05919","citing_paper":"/paper/2402.07619"},"observation_digest":"sha256:d173c44f376d52fcbec24e2131efa333e0efa08a6b58fc3111346585b4795044","observation_id":"2d321d81-db44-45f5-af4c-f3e7eb454184","resolution":{"observed_at":"2026-05-24T03:53:53.867142Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.05919","last_updated":"2021-01-18T07:08:54Z","snapshot_observed_at":"2026-08-09T22:30:33.431779Z","submitted_at":"2020-06-10T16:13:06Z","title":"Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data","version":3},"cited_work":{"arxiv_id":"2006.05919","doi":"10.48550/arxiv.2006.05919","metadata_source":"arxiv_reference","pith_arxiv_id":"2006.05919","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Exploring automatic diagnosis of covid-19 from crowdsourced respiratory sound data","venue":"arXiv (Cornell University)","work_id":"475a7af6-ff70-46b7-a05a-e7008541bd91","year":2020},"citing_paper":{"arxiv_id":"2408.07522","last_updated":"2026-05-08T12:43:37Z","snapshot_observed_at":"2026-07-06T19:00:40.259490Z","submitted_at":"2024-08-14T12:56:17Z","title":"Optimising MFCC parameters for the automatic detection of respiratory diseases","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-23T21:53:26.352337Z"},"links":{"cited_paper":"/paper/2006.05919","citing_paper":"/paper/2408.07522"},"observation_digest":"sha256:245367c406f1d71620e0eaee1fb5acd599ec6d8c7e5b395b6fd276c740fe0c79","observation_id":"e0a39d77-beb4-4fb2-aba7-f4ce718a1b70","resolution":{"observed_at":"2026-05-23T21:53:29.469333Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.05919","last_updated":"2021-01-18T07:08:54Z","snapshot_observed_at":"2026-08-09T22:30:33.431779Z","submitted_at":"2020-06-10T16:13:06Z","title":"Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.05919","snapshot_observed_at":"2026-08-06T04:51:58.191931Z","title":"arXiv preprint arXiv:2006.05919 (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.03764","last_updated":"2025-08-04T23:09:07Z","snapshot_observed_at":"2026-08-12T05:03:32.660222Z","submitted_at":"2025-08-04T23:09:07Z","title":"CoughViT: A Self-Supervised Vision Transformer for Cough Audio Representation Learning","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-06T04:51:58.191931Z"},"links":{"cited_paper":"/paper/2006.05919","citing_paper":"/paper/2508.03764"},"observation_digest":"sha256:855b3af51e83b9437a527768f8fc5bb10d73b70bcd5f1a050d56d36f3b5bbc13","observation_id":"5b15b4f2-517c-4c9e-b384-cf1fbdaa3614","resolution":{"observed_at":"2026-08-06T04:51:58.191931Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.05919","last_updated":"2021-01-18T07:08:54Z","snapshot_observed_at":"2026-08-09T22:30:33.431779Z","submitted_at":"2020-06-10T16:13:06Z","title":"Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data","version":3},"cited_work":{"arxiv_id":"2006.05919","doi":"10.48550/arxiv.2006.05919","metadata_source":"arxiv_reference","pith_arxiv_id":"2006.05919","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Exploring automatic diagnosis of covid-19 from crowdsourced respiratory sound data","venue":"arXiv (Cornell University)","work_id":"475a7af6-ff70-46b7-a05a-e7008541bd91","year":2020},"citing_paper":{"arxiv_id":"2606.21411","last_updated":"2026-06-19T13:26:06Z","snapshot_observed_at":"2026-08-07T05:12:21.264658Z","submitted_at":"2026-06-19T13:26:06Z","title":"CoughPhase-CLR: Designing an acoustics-informed foundation model for coughing sound classification","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-26T12:56:07.348171Z"},"links":{"cited_paper":"/paper/2006.05919","citing_paper":"/paper/2606.21411"},"observation_digest":"sha256:0f0ca7a2fca8736bd6acc2e030e4284bf1115012513f5794beb86f18c313f8c1","observation_id":"c64761b8-7a19-4169-ac07-9889d13e7377","resolution":{"observed_at":"2026-06-26T12:59:29.477089Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2006.05919/citation-record","integrity":"/paper/2006.05919/integrity","json":"/paper/2006.05919/citation-record.json","paper":"/paper/2006.05919"},"outbound":[],"paper":{"arxiv_id":"2006.05919","last_updated":"2021-01-18T07:08:54Z","latest_version":3,"primary_category":"cs.SD","snapshot_observed_at":"2026-08-09T22:30:33.431779Z","submitted_at":"2020-06-10T16:13:06Z","title":"Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2006.05919."}