{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:Q7SFDPI7VICN3SIIXKQTP5CL7O","short_pith_number":"pith:Q7SFDPI7","schema_version":"1.0","canonical_sha256":"87e451bd1faa04ddc908baa137f44bfb942414ebc2821355795eb16c5756a1b8","source":{"kind":"arxiv","id":"2508.03764","version":1},"attestation_state":"computed","paper":{"title":"CoughViT: A Self-Supervised Vision Transformer for Cough Audio Representation Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","eess.AS"],"primary_cat":"cs.SD","authors_text":"Flora D. Salim, Hao Xue, Justin Luong","submitted_at":"2025-08-04T23:09:07Z","abstract_excerpt":"Physicians routinely assess respiratory sounds during the diagnostic process, providing insight into the condition of a patient's airways. In recent years, AI-based diagnostic systems operating on respiratory sounds, have demonstrated success in respiratory disease detection. These systems represent a crucial advancement in early and accessible diagnosis which is essential for timely treatment. However, label and data scarcity remain key challenges, especially for conditions beyond COVID-19, limiting diagnostic performance and reliable evaluation. In this paper, we propose CoughViT, a novel pr"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2508.03764","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-08-04T23:09:07Z","cross_cats_sorted":["cs.AI","eess.AS"],"title_canon_sha256":"6a77fa3bfe6b3519e383791cbe6ff0dca116e76b60d4d8dfe6a7f4a6340202ff","abstract_canon_sha256":"c5a776f284c4f423936df7310cc468488cb0fbd5f3f2647e7c2ebe7f75127446"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:49:34.678449Z","signature_b64":"4khAP+aIvfU6jJfLe0vpyH5EejE8LGfmfclTPVfwdBA2GOpuhUChE5XlNgeRWIGNBHBVA+hIgrPlVXyywD+eBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"87e451bd1faa04ddc908baa137f44bfb942414ebc2821355795eb16c5756a1b8","last_reissued_at":"2026-07-05T11:49:34.677973Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:49:34.677973Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"CoughViT: A Self-Supervised Vision Transformer for Cough Audio Representation Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","eess.AS"],"primary_cat":"cs.SD","authors_text":"Flora D. Salim, Hao Xue, Justin Luong","submitted_at":"2025-08-04T23:09:07Z","abstract_excerpt":"Physicians routinely assess respiratory sounds during the diagnostic process, providing insight into the condition of a patient's airways. In recent years, AI-based diagnostic systems operating on respiratory sounds, have demonstrated success in respiratory disease detection. These systems represent a crucial advancement in early and accessible diagnosis which is essential for timely treatment. However, label and data scarcity remain key challenges, especially for conditions beyond COVID-19, limiting diagnostic performance and reliable evaluation. In this paper, we propose CoughViT, a novel pr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.03764","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2508.03764/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2508.03764","created_at":"2026-07-05T11:49:34.678028+00:00"},{"alias_kind":"arxiv_version","alias_value":"2508.03764v1","created_at":"2026-07-05T11:49:34.678028+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.03764","created_at":"2026-07-05T11:49:34.678028+00:00"},{"alias_kind":"pith_short_12","alias_value":"Q7SFDPI7VICN","created_at":"2026-07-05T11:49:34.678028+00:00"},{"alias_kind":"pith_short_16","alias_value":"Q7SFDPI7VICN3SII","created_at":"2026-07-05T11:49:34.678028+00:00"},{"alias_kind":"pith_short_8","alias_value":"Q7SFDPI7","created_at":"2026-07-05T11:49:34.678028+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/Q7SFDPI7VICN3SIIXKQTP5CL7O","json":"https://pith.science/pith/Q7SFDPI7VICN3SIIXKQTP5CL7O.json","graph_json":"https://pith.science/api/pith-number/Q7SFDPI7VICN3SIIXKQTP5CL7O/graph.json","events_json":"https://pith.science/api/pith-number/Q7SFDPI7VICN3SIIXKQTP5CL7O/events.json","paper":"https://pith.science/paper/Q7SFDPI7"},"agent_actions":{"view_html":"https://pith.science/pith/Q7SFDPI7VICN3SIIXKQTP5CL7O","download_json":"https://pith.science/pith/Q7SFDPI7VICN3SIIXKQTP5CL7O.json","view_paper":"https://pith.science/paper/Q7SFDPI7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2508.03764&json=true","fetch_graph":"https://pith.science/api/pith-number/Q7SFDPI7VICN3SIIXKQTP5CL7O/graph.json","fetch_events":"https://pith.science/api/pith-number/Q7SFDPI7VICN3SIIXKQTP5CL7O/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Q7SFDPI7VICN3SIIXKQTP5CL7O/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Q7SFDPI7VICN3SIIXKQTP5CL7O/action/storage_attestation","attest_author":"https://pith.science/pith/Q7SFDPI7VICN3SIIXKQTP5CL7O/action/author_attestation","sign_citation":"https://pith.science/pith/Q7SFDPI7VICN3SIIXKQTP5CL7O/action/citation_signature","submit_replication":"https://pith.science/pith/Q7SFDPI7VICN3SIIXKQTP5CL7O/action/replication_record"}},"created_at":"2026-07-05T11:49:34.678028+00:00","updated_at":"2026-07-05T11:49:34.678028+00:00"}