{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:64ONYB7W7IZBXHWGW5IVFJ67D6","short_pith_number":"pith:64ONYB7W","schema_version":"1.0","canonical_sha256":"f71cdc07f6fa321b9ec6b75152a7df1f8a0bd8632882d5ee3609e460f75a12dc","source":{"kind":"arxiv","id":"2404.18355","version":1},"attestation_state":"computed","paper":{"title":"Pi\\`eces de viole des Cinq Livres and their statistical signatures: the musical work of Marin Marais and Jordi Savall","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.AS","stat.AP"],"primary_cat":"cs.SD","authors_text":"Igor Lugo, Martha G. Alatriste-Contreras","submitted_at":"2024-04-29T01:35:58Z","abstract_excerpt":"This study analyzes the spectrum of audio signals related to the work of \"Pi\\`eces de viole des Cinq Livres\" based on the collaborative work between Marin Marais and Jordi Savall for the underlying musical information. In particular, we explore the identification of possible statistical signatures related to this musical work. Based on the complex systems approach, we compute the spectrum of audio signals, analyze and identify their best-fit statistical distributions, and plot their relative frequencies using the scientific pitch notation. Findings suggest that the collection of frequency comp"},"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":"2404.18355","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-04-29T01:35:58Z","cross_cats_sorted":["eess.AS","stat.AP"],"title_canon_sha256":"75b8584a126d7ea3b333acc0b631559d841335961938b2d18aeefdc13ad3ef87","abstract_canon_sha256":"710e62121021a4daaef15ffae829303b9afb3b9a92ec29f31916b60a7b31ac94"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:58:41.274044Z","signature_b64":"iwYOQSvjVU2zsbz7nARoRbHS5tikR7c/CYKE/LXt84Pea9drVG79njM6heVYmRqzbh3sAWTZN3rWhivgPhSyDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f71cdc07f6fa321b9ec6b75152a7df1f8a0bd8632882d5ee3609e460f75a12dc","last_reissued_at":"2026-07-05T09:58:41.273563Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:58:41.273563Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Pi\\`eces de viole des Cinq Livres and their statistical signatures: the musical work of Marin Marais and Jordi Savall","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.AS","stat.AP"],"primary_cat":"cs.SD","authors_text":"Igor Lugo, Martha G. Alatriste-Contreras","submitted_at":"2024-04-29T01:35:58Z","abstract_excerpt":"This study analyzes the spectrum of audio signals related to the work of \"Pi\\`eces de viole des Cinq Livres\" based on the collaborative work between Marin Marais and Jordi Savall for the underlying musical information. In particular, we explore the identification of possible statistical signatures related to this musical work. Based on the complex systems approach, we compute the spectrum of audio signals, analyze and identify their best-fit statistical distributions, and plot their relative frequencies using the scientific pitch notation. Findings suggest that the collection of frequency comp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.18355","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/2404.18355/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":"2404.18355","created_at":"2026-07-05T09:58:41.273621+00:00"},{"alias_kind":"arxiv_version","alias_value":"2404.18355v1","created_at":"2026-07-05T09:58:41.273621+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.18355","created_at":"2026-07-05T09:58:41.273621+00:00"},{"alias_kind":"pith_short_12","alias_value":"64ONYB7W7IZB","created_at":"2026-07-05T09:58:41.273621+00:00"},{"alias_kind":"pith_short_16","alias_value":"64ONYB7W7IZBXHWG","created_at":"2026-07-05T09:58:41.273621+00:00"},{"alias_kind":"pith_short_8","alias_value":"64ONYB7W","created_at":"2026-07-05T09:58:41.273621+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2411.19844","citing_title":"Musical composition and 2D cellular automata based on music intervals","ref_index":20,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/64ONYB7W7IZBXHWGW5IVFJ67D6","json":"https://pith.science/pith/64ONYB7W7IZBXHWGW5IVFJ67D6.json","graph_json":"https://pith.science/api/pith-number/64ONYB7W7IZBXHWGW5IVFJ67D6/graph.json","events_json":"https://pith.science/api/pith-number/64ONYB7W7IZBXHWGW5IVFJ67D6/events.json","paper":"https://pith.science/paper/64ONYB7W"},"agent_actions":{"view_html":"https://pith.science/pith/64ONYB7W7IZBXHWGW5IVFJ67D6","download_json":"https://pith.science/pith/64ONYB7W7IZBXHWGW5IVFJ67D6.json","view_paper":"https://pith.science/paper/64ONYB7W","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2404.18355&json=true","fetch_graph":"https://pith.science/api/pith-number/64ONYB7W7IZBXHWGW5IVFJ67D6/graph.json","fetch_events":"https://pith.science/api/pith-number/64ONYB7W7IZBXHWGW5IVFJ67D6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/64ONYB7W7IZBXHWGW5IVFJ67D6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/64ONYB7W7IZBXHWGW5IVFJ67D6/action/storage_attestation","attest_author":"https://pith.science/pith/64ONYB7W7IZBXHWGW5IVFJ67D6/action/author_attestation","sign_citation":"https://pith.science/pith/64ONYB7W7IZBXHWGW5IVFJ67D6/action/citation_signature","submit_replication":"https://pith.science/pith/64ONYB7W7IZBXHWGW5IVFJ67D6/action/replication_record"}},"created_at":"2026-07-05T09:58:41.273621+00:00","updated_at":"2026-07-05T09:58:41.273621+00:00"}