{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:EOWXLELVRPPUB7UWVL77U7EP27","short_pith_number":"pith:EOWXLELV","canonical_record":{"source":{"id":"2410.10125","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-10-14T03:25:48Z","cross_cats_sorted":["eess.AS","eess.SP"],"title_canon_sha256":"936f468b769fb66fd116a94874e5eff751346abf42afda3ae4346e9ba69f50b8","abstract_canon_sha256":"e34223b799f6e8c3058626b41f7d06a37286a64ee391debecd26418253f6a86b"},"schema_version":"1.0"},"canonical_sha256":"23ad7591758bdf40fe96aafffa7c8fd7d80e29041bc9b6b13e7fd873e3b8789b","source":{"kind":"arxiv","id":"2410.10125","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.10125","created_at":"2026-07-05T11:22:32Z"},{"alias_kind":"arxiv_version","alias_value":"2410.10125v2","created_at":"2026-07-05T11:22:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.10125","created_at":"2026-07-05T11:22:32Z"},{"alias_kind":"pith_short_12","alias_value":"EOWXLELVRPPU","created_at":"2026-07-05T11:22:32Z"},{"alias_kind":"pith_short_16","alias_value":"EOWXLELVRPPUB7UW","created_at":"2026-07-05T11:22:32Z"},{"alias_kind":"pith_short_8","alias_value":"EOWXLELV","created_at":"2026-07-05T11:22:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:EOWXLELVRPPUB7UWVL77U7EP27","target":"record","payload":{"canonical_record":{"source":{"id":"2410.10125","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-10-14T03:25:48Z","cross_cats_sorted":["eess.AS","eess.SP"],"title_canon_sha256":"936f468b769fb66fd116a94874e5eff751346abf42afda3ae4346e9ba69f50b8","abstract_canon_sha256":"e34223b799f6e8c3058626b41f7d06a37286a64ee391debecd26418253f6a86b"},"schema_version":"1.0"},"canonical_sha256":"23ad7591758bdf40fe96aafffa7c8fd7d80e29041bc9b6b13e7fd873e3b8789b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:22:32.855851Z","signature_b64":"qKoY8XwoZaTO1U/N/kJ0g0mT8EK2E4t6IOVZF54DPZHmyBpM1HaOR59gn0AKK3qtaMjGXVUJXaJ8CMpehkBfAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"23ad7591758bdf40fe96aafffa7c8fd7d80e29041bc9b6b13e7fd873e3b8789b","last_reissued_at":"2026-07-05T11:22:32.855362Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:22:32.855362Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.10125","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:22:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ngVUajvYZCDceh0u572V5ereCZcbIo644SFCYumjNhMHbeJi/9oHQh0q4paBuQBRmvJO/+cOXJ8g5qLkYHUvCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T06:14:45.187008Z"},"content_sha256":"01bc8afe4a704e3e25ed708c2660437095790b491d8ef6d4a2e35cb26596664f","schema_version":"1.0","event_id":"sha256:01bc8afe4a704e3e25ed708c2660437095790b491d8ef6d4a2e35cb26596664f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:EOWXLELVRPPUB7UWVL77U7EP27","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Generative Deep Learning and Signal Processing for Data Augmentation of Cardiac Auscultation Signals: Improving Model Robustness Using Synthetic Audio","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.AS","eess.SP"],"primary_cat":"cs.SD","authors_text":"Leigh Abbott, Matthew Fynn, Milan Marocchi, Sven Nordholm, Yue Rong","submitted_at":"2024-10-14T03:25:48Z","abstract_excerpt":"Accurately interpreting cardiac auscultation signals plays a crucial role in diagnosing and managing cardiovascular diseases. However, the paucity of labelled data inhibits classification models' training. Researchers have turned to generative deep learning techniques combined with signal processing to augment the existing data and improve cardiac auscultation classification models to overcome this challenge. However, the primary focus of prior studies has been on model performance as opposed to model robustness. Robustness, in this case, is defined as both the in-distribution and out-of-distr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.10125","kind":"arxiv","version":2},"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/2410.10125/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:22:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"l3xfKK3kRtSWHMjGUJD3EPxk64ZITGfQRM10cYNJTd7z+xMrZYhqqiTpfJsl8MCxmWrMsVWjXe9vC+LH8PToAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T06:14:45.187618Z"},"content_sha256":"58706c62a8411aba3104dff3ba511660d03b892d101c8bc1cde67e0726e7c58c","schema_version":"1.0","event_id":"sha256:58706c62a8411aba3104dff3ba511660d03b892d101c8bc1cde67e0726e7c58c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EOWXLELVRPPUB7UWVL77U7EP27/bundle.json","state_url":"https://pith.science/pith/EOWXLELVRPPUB7UWVL77U7EP27/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EOWXLELVRPPUB7UWVL77U7EP27/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-11T06:14:45Z","links":{"resolver":"https://pith.science/pith/EOWXLELVRPPUB7UWVL77U7EP27","bundle":"https://pith.science/pith/EOWXLELVRPPUB7UWVL77U7EP27/bundle.json","state":"https://pith.science/pith/EOWXLELVRPPUB7UWVL77U7EP27/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EOWXLELVRPPUB7UWVL77U7EP27/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:EOWXLELVRPPUB7UWVL77U7EP27","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":"e34223b799f6e8c3058626b41f7d06a37286a64ee391debecd26418253f6a86b","cross_cats_sorted":["eess.AS","eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-10-14T03:25:48Z","title_canon_sha256":"936f468b769fb66fd116a94874e5eff751346abf42afda3ae4346e9ba69f50b8"},"schema_version":"1.0","source":{"id":"2410.10125","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.10125","created_at":"2026-07-05T11:22:32Z"},{"alias_kind":"arxiv_version","alias_value":"2410.10125v2","created_at":"2026-07-05T11:22:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.10125","created_at":"2026-07-05T11:22:32Z"},{"alias_kind":"pith_short_12","alias_value":"EOWXLELVRPPU","created_at":"2026-07-05T11:22:32Z"},{"alias_kind":"pith_short_16","alias_value":"EOWXLELVRPPUB7UW","created_at":"2026-07-05T11:22:32Z"},{"alias_kind":"pith_short_8","alias_value":"EOWXLELV","created_at":"2026-07-05T11:22:32Z"}],"graph_snapshots":[{"event_id":"sha256:58706c62a8411aba3104dff3ba511660d03b892d101c8bc1cde67e0726e7c58c","target":"graph","created_at":"2026-07-05T11:22:32Z","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/2410.10125/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurately interpreting cardiac auscultation signals plays a crucial role in diagnosing and managing cardiovascular diseases. However, the paucity of labelled data inhibits classification models' training. Researchers have turned to generative deep learning techniques combined with signal processing to augment the existing data and improve cardiac auscultation classification models to overcome this challenge. However, the primary focus of prior studies has been on model performance as opposed to model robustness. Robustness, in this case, is defined as both the in-distribution and out-of-distr","authors_text":"Leigh Abbott, Matthew Fynn, Milan Marocchi, Sven Nordholm, Yue Rong","cross_cats":["eess.AS","eess.SP"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-10-14T03:25:48Z","title":"Generative Deep Learning and Signal Processing for Data Augmentation of Cardiac Auscultation Signals: Improving Model Robustness Using Synthetic Audio"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.10125","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":"sha256:01bc8afe4a704e3e25ed708c2660437095790b491d8ef6d4a2e35cb26596664f","target":"record","created_at":"2026-07-05T11:22:32Z","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":"e34223b799f6e8c3058626b41f7d06a37286a64ee391debecd26418253f6a86b","cross_cats_sorted":["eess.AS","eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-10-14T03:25:48Z","title_canon_sha256":"936f468b769fb66fd116a94874e5eff751346abf42afda3ae4346e9ba69f50b8"},"schema_version":"1.0","source":{"id":"2410.10125","kind":"arxiv","version":2}},"canonical_sha256":"23ad7591758bdf40fe96aafffa7c8fd7d80e29041bc9b6b13e7fd873e3b8789b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"23ad7591758bdf40fe96aafffa7c8fd7d80e29041bc9b6b13e7fd873e3b8789b","first_computed_at":"2026-07-05T11:22:32.855362Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:22:32.855362Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qKoY8XwoZaTO1U/N/kJ0g0mT8EK2E4t6IOVZF54DPZHmyBpM1HaOR59gn0AKK3qtaMjGXVUJXaJ8CMpehkBfAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:22:32.855851Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.10125","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:01bc8afe4a704e3e25ed708c2660437095790b491d8ef6d4a2e35cb26596664f","sha256:58706c62a8411aba3104dff3ba511660d03b892d101c8bc1cde67e0726e7c58c"],"state_sha256":"45155475bf3f00c227437535a5487b1fcf0eece7d25684058498629325f03ea5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"we1cI3YoOi4EqpxAff0JnCYgK4wx16wjoTO2YXhSLWY9uNVL6QKKZF5VtH71CBXdYnM5r+qwjmwGmBsOVow2Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T06:14:45.191632Z","bundle_sha256":"f141a1f9b6e27a66679c960d20f8fdac5355460091796324278eacf4a32e8668"}}