{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:VIPLLIOJKDX7TNJ6Y3A5JDKC7M","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"ea1d1df9601fe01552ad966acda8fec3d48685cc1df6f6d569fedd898d38227d","cross_cats_sorted":["cs.LG","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2023-03-15T04:46:57Z","title_canon_sha256":"000a48f99bb461c083cf0a9e43aea07fae42263a8483ec101ebc2fd9ba072553"},"schema_version":"1.0","source":{"id":"2303.08362","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.08362","created_at":"2026-07-05T05:51:32Z"},{"alias_kind":"arxiv_version","alias_value":"2303.08362v1","created_at":"2026-07-05T05:51:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.08362","created_at":"2026-07-05T05:51:32Z"},{"alias_kind":"pith_short_12","alias_value":"VIPLLIOJKDX7","created_at":"2026-07-05T05:51:32Z"},{"alias_kind":"pith_short_16","alias_value":"VIPLLIOJKDX7TNJ6","created_at":"2026-07-05T05:51:32Z"},{"alias_kind":"pith_short_8","alias_value":"VIPLLIOJ","created_at":"2026-07-05T05:51:32Z"}],"graph_snapshots":[{"event_id":"sha256:31de510eec95cfb2fe6fc1ad67beafbdbb5a9b1cd0347c32932012981716cb57","target":"graph","created_at":"2026-07-05T05:51:32Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2303.08362/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the development of computer -systems that can collect and analyze enormous volumes of data, the medical profession is establishing several non-invasive tools. This work attempts to develop a non-invasive technique for identifying respiratory sounds acquired by a stethoscope and voice recording software via machine learning techniques. This study suggests a trained and proven CNN-based approach for categorizing respiratory sounds. A visual representation of each audio sample is constructed, allowing resource identification for classification using methods like those used to effectively des","authors_text":"Arslan Manzoor, Hadiqa Jalil Khan, Hafsa Gulzar, Jiyun Li, Sadaf Rehmat, Usman Amjad","cross_cats":["cs.LG","eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2023-03-15T04:46:57Z","title":"Transfer Learning Based Diagnosis and Analysis of Lung Sound Aberrations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.08362","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:5f0fa1d60824c34b4c929fce068d6f2d3b751c4848389a91d4136787396825ed","target":"record","created_at":"2026-07-05T05:51:32Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"ea1d1df9601fe01552ad966acda8fec3d48685cc1df6f6d569fedd898d38227d","cross_cats_sorted":["cs.LG","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2023-03-15T04:46:57Z","title_canon_sha256":"000a48f99bb461c083cf0a9e43aea07fae42263a8483ec101ebc2fd9ba072553"},"schema_version":"1.0","source":{"id":"2303.08362","kind":"arxiv","version":1}},"canonical_sha256":"aa1eb5a1c950eff9b53ec6c1d48d42fb13d2f48e4bbcfcd2c4e56504df41394a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aa1eb5a1c950eff9b53ec6c1d48d42fb13d2f48e4bbcfcd2c4e56504df41394a","first_computed_at":"2026-07-05T05:51:32.047863Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:51:32.047863Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0tbuLjJRJ7ReoPNS2T9uE1axopFvJz9Q3FzpYR71wG6LLR/RptmlZYQssOyIHylC0BS5DnIeZGcoGgQhF2GjDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:51:32.048200Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.08362","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5f0fa1d60824c34b4c929fce068d6f2d3b751c4848389a91d4136787396825ed","sha256:31de510eec95cfb2fe6fc1ad67beafbdbb5a9b1cd0347c32932012981716cb57"],"state_sha256":"4bd27b951c0bd86092f56215c0a582b0cc6bc487204ed0ff327e9c5b1ac86592"}