{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:UGTKK5B44JG3PVS47ULRURBSEA","short_pith_number":"pith:UGTKK5B4","schema_version":"1.0","canonical_sha256":"a1a6a5743ce24db7d65cfd171a4432202ec7aca7757cdfabdd9ad8d5eefcec29","source":{"kind":"arxiv","id":"1907.00178","version":1},"attestation_state":"computed","paper":{"title":"Music Performance Analysis: A Survey","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.MM"],"primary_cat":"cs.IR","authors_text":"Alexander Lerch, Ashis Pati, Claire Arthur, Siddharth Gururani","submitted_at":"2019-06-29T10:43:27Z","abstract_excerpt":"Music Information Retrieval (MIR) tends to focus on the analysis of audio signals. Often, a single music recording is used as representative of a \"song\" even though different performances of the same song may reveal different properties. A performance is distinct in many ways from a (arguably more abstract) representation of a \"song,\" \"piece,\" or musical score. The characteristics of the (recorded) performance -- as opposed to the score or musical idea -- can have a major impact on how a listener perceives music. The analysis of music performance, however, has been traditionally only a periphe"},"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":"1907.00178","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2019-06-29T10:43:27Z","cross_cats_sorted":["cs.MM"],"title_canon_sha256":"46a05190be2fa9773e5c32a618ce8aeb06e23abe19aae82edc6b80c74c806ba5","abstract_canon_sha256":"8c0b5d4dfedd0c91faa70bd12677a72c412845dcb6b784f0008e4e6819ca7980"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:41:57.228713Z","signature_b64":"FwnjPEfWpu326f9an9tULYGmnNzKLJA9Hs+nBBqplNjrSeFugLb51LRW/aHHEH+d4aCv43kP35hgWDSF7QSnBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a1a6a5743ce24db7d65cfd171a4432202ec7aca7757cdfabdd9ad8d5eefcec29","last_reissued_at":"2026-05-17T23:41:57.228142Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:41:57.228142Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Music Performance Analysis: A Survey","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.MM"],"primary_cat":"cs.IR","authors_text":"Alexander Lerch, Ashis Pati, Claire Arthur, Siddharth Gururani","submitted_at":"2019-06-29T10:43:27Z","abstract_excerpt":"Music Information Retrieval (MIR) tends to focus on the analysis of audio signals. Often, a single music recording is used as representative of a \"song\" even though different performances of the same song may reveal different properties. A performance is distinct in many ways from a (arguably more abstract) representation of a \"song,\" \"piece,\" or musical score. The characteristics of the (recorded) performance -- as opposed to the score or musical idea -- can have a major impact on how a listener perceives music. The analysis of music performance, however, has been traditionally only a periphe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.00178","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":""},"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":"1907.00178","created_at":"2026-05-17T23:41:57.228241+00:00"},{"alias_kind":"arxiv_version","alias_value":"1907.00178v1","created_at":"2026-05-17T23:41:57.228241+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.00178","created_at":"2026-05-17T23:41:57.228241+00:00"},{"alias_kind":"pith_short_12","alias_value":"UGTKK5B44JG3","created_at":"2026-05-18T12:33:30.264802+00:00"},{"alias_kind":"pith_short_16","alias_value":"UGTKK5B44JG3PVS4","created_at":"2026-05-18T12:33:30.264802+00:00"},{"alias_kind":"pith_short_8","alias_value":"UGTKK5B4","created_at":"2026-05-18T12:33:30.264802+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":2,"internal_anchor_count":2,"sample":[{"citing_arxiv_id":"1907.00178","citing_title":"Music Performance Analysis: A Survey","ref_index":1,"is_internal_anchor":true},{"citing_arxiv_id":"2506.01982","citing_title":"Music Interpretation and Emotion Perception: A Computational and Neurophysiological Investigation","ref_index":13,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/UGTKK5B44JG3PVS47ULRURBSEA","json":"https://pith.science/pith/UGTKK5B44JG3PVS47ULRURBSEA.json","graph_json":"https://pith.science/api/pith-number/UGTKK5B44JG3PVS47ULRURBSEA/graph.json","events_json":"https://pith.science/api/pith-number/UGTKK5B44JG3PVS47ULRURBSEA/events.json","paper":"https://pith.science/paper/UGTKK5B4"},"agent_actions":{"view_html":"https://pith.science/pith/UGTKK5B44JG3PVS47ULRURBSEA","download_json":"https://pith.science/pith/UGTKK5B44JG3PVS47ULRURBSEA.json","view_paper":"https://pith.science/paper/UGTKK5B4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1907.00178&json=true","fetch_graph":"https://pith.science/api/pith-number/UGTKK5B44JG3PVS47ULRURBSEA/graph.json","fetch_events":"https://pith.science/api/pith-number/UGTKK5B44JG3PVS47ULRURBSEA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UGTKK5B44JG3PVS47ULRURBSEA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UGTKK5B44JG3PVS47ULRURBSEA/action/storage_attestation","attest_author":"https://pith.science/pith/UGTKK5B44JG3PVS47ULRURBSEA/action/author_attestation","sign_citation":"https://pith.science/pith/UGTKK5B44JG3PVS47ULRURBSEA/action/citation_signature","submit_replication":"https://pith.science/pith/UGTKK5B44JG3PVS47ULRURBSEA/action/replication_record"}},"created_at":"2026-05-17T23:41:57.228241+00:00","updated_at":"2026-05-17T23:41:57.228241+00:00"}