{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:PFEXRRHZV6DTVNU5L46G36MZTE","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":"eed9cf3ed0a6672a1a9e208935a48eb52f6267a0e4f86fbae27fa925439c73ef","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2017-05-31T16:24:28Z","title_canon_sha256":"45737849a56f975e65cae83e68110da869643c6c3c04bf5b4f3f7d3e45ee99d7"},"schema_version":"1.0","source":{"id":"1706.00005","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.00005","created_at":"2026-05-18T00:27:21Z"},{"alias_kind":"arxiv_version","alias_value":"1706.00005v2","created_at":"2026-05-18T00:27:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.00005","created_at":"2026-05-18T00:27:21Z"},{"alias_kind":"pith_short_12","alias_value":"PFEXRRHZV6DT","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_16","alias_value":"PFEXRRHZV6DTVNU5","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_8","alias_value":"PFEXRRHZ","created_at":"2026-05-18T12:31:37Z"}],"graph_snapshots":[{"event_id":"sha256:af0b342ca7d180bbbd3bd176fce74d6802b3daedea3e7015be3d12f49d48b8d7","target":"graph","created_at":"2026-05-18T00:27:21Z","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"},"paper":{"abstract_excerpt":"In recent years, many innovative solutions for recording and viewing sounds from a stethoscope have become available. However, to fully utilize such devices, there is a need for an automated approach for detecting abnormal lung sounds, which is better than the existing methods that typically have been developed and evaluated using a small and non-diverse dataset.\n  We propose a machine learning based approach for detecting crackles in lung sounds recorded using a stethoscope in a large health survey. Our method is trained and evaluated using 209 files with crackles classified by expert listene","authors_text":"Einar Holsb{\\o}, Hasse Melbye, Juan Carlos Aviles Solis, Lars Ailo Bongo, Morten Gr{\\o}nnesby","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2017-05-31T16:24:28Z","title":"Feature Extraction for Machine Learning Based Crackle Detection in Lung Sounds from a Health Survey"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.00005","kind":"arxiv","version":2},"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":"sha256:8ae38f8e79da2c556db11bc181b4fd6e6e590bb503e16297bcf6415b5cce539b","target":"record","created_at":"2026-05-18T00:27:21Z","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":"eed9cf3ed0a6672a1a9e208935a48eb52f6267a0e4f86fbae27fa925439c73ef","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2017-05-31T16:24:28Z","title_canon_sha256":"45737849a56f975e65cae83e68110da869643c6c3c04bf5b4f3f7d3e45ee99d7"},"schema_version":"1.0","source":{"id":"1706.00005","kind":"arxiv","version":2}},"canonical_sha256":"794978c4f9af873ab69d5f3c6df9999905181e80fc8a5293f054438fea361e1f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"794978c4f9af873ab69d5f3c6df9999905181e80fc8a5293f054438fea361e1f","first_computed_at":"2026-05-18T00:27:21.356956Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:27:21.356956Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AKZww8ac6IcCPYG2kkuqvpSvynom9r8MQRu32+XPw9HzZF5R5vgIRP17yNQZXBvWTx6MI9xAW9eAZpRp7v3xDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:27:21.357451Z","signed_message":"canonical_sha256_bytes"},"source_id":"1706.00005","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8ae38f8e79da2c556db11bc181b4fd6e6e590bb503e16297bcf6415b5cce539b","sha256:af0b342ca7d180bbbd3bd176fce74d6802b3daedea3e7015be3d12f49d48b8d7"],"state_sha256":"c8531d2b255acea33e25e4df2b833caf9158d27c4327c442ca989f8d10fadccc"}