{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:XUGO4BQMLKUD2MGHJMFKVDGLRQ","short_pith_number":"pith:XUGO4BQM","canonical_record":{"source":{"id":"1902.03283","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-02-08T20:38:18Z","cross_cats_sorted":["cs.LG","cs.SD","eess.AS","stat.ML"],"title_canon_sha256":"d778e928d36924e81b9c93d9be90bcb830a85a432cfeb5749da8e035c86b79cf","abstract_canon_sha256":"822acfc9ba281497ddf1904e398bc489a9568cc6e93b8a5c942b6fef69304556"},"schema_version":"1.0"},"canonical_sha256":"bd0cee060c5aa83d30c74b0aaa8ccb8c3a805dea42c78c7463dcb99d6f0b19f4","source":{"kind":"arxiv","id":"1902.03283","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.03283","created_at":"2026-05-17T23:54:21Z"},{"alias_kind":"arxiv_version","alias_value":"1902.03283v1","created_at":"2026-05-17T23:54:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.03283","created_at":"2026-05-17T23:54:21Z"},{"alias_kind":"pith_short_12","alias_value":"XUGO4BQMLKUD","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_16","alias_value":"XUGO4BQMLKUD2MGH","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_8","alias_value":"XUGO4BQM","created_at":"2026-05-18T12:33:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:XUGO4BQMLKUD2MGHJMFKVDGLRQ","target":"record","payload":{"canonical_record":{"source":{"id":"1902.03283","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-02-08T20:38:18Z","cross_cats_sorted":["cs.LG","cs.SD","eess.AS","stat.ML"],"title_canon_sha256":"d778e928d36924e81b9c93d9be90bcb830a85a432cfeb5749da8e035c86b79cf","abstract_canon_sha256":"822acfc9ba281497ddf1904e398bc489a9568cc6e93b8a5c942b6fef69304556"},"schema_version":"1.0"},"canonical_sha256":"bd0cee060c5aa83d30c74b0aaa8ccb8c3a805dea42c78c7463dcb99d6f0b19f4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:54:21.391607Z","signature_b64":"s2dBBbWKDASu24QJSZY+I7YpOi0uYbhJ0uJFNakCtk+78BHFApG9Yz03P4o0e2fwCJYWcFuzmj/AitBjfvQAAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bd0cee060c5aa83d30c74b0aaa8ccb8c3a805dea42c78c7463dcb99d6f0b19f4","last_reissued_at":"2026-05-17T23:54:21.391057Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:54:21.391057Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1902.03283","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:54:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+QuZBoruRiqtiOL5lbVGGiq8WrGFxL8zvY4p3fDrIDqecSz2ZCf8bboXkwWnRuymNv8MvNyQofBoDdwHCqMlBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T12:52:13.054654Z"},"content_sha256":"c49f79d513217d241c33c12b46babcc96bd1b4b6eaeb14ebba799d374cdfbfd9","schema_version":"1.0","event_id":"sha256:c49f79d513217d241c33c12b46babcc96bd1b4b6eaeb14ebba799d374cdfbfd9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:XUGO4BQMLKUD2MGHJMFKVDGLRQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Machine learning and chord based feature engineering for genre prediction in popular Brazilian music","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.SD","eess.AS","stat.ML"],"primary_cat":"cs.IR","authors_text":"Bruna D. Wundervald, Walmes M. Zeviani","submitted_at":"2019-02-08T20:38:18Z","abstract_excerpt":"Music genre can be hard to describe: many factors are involved, such as style, music technique, and historical context. Some genres even have overlapping characteristics. Looking for a better understanding of how music genres are related to musical harmonic structures, we gathered data about the music chords for thousands of popular Brazilian songs. Here, 'popular' does not only refer to the genre named MPB (Brazilian Popular Music) but to nine different genres that were considered particular to the Brazilian case. The main goals of the present work are to extract and engineer harmonically rel"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.03283","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:54:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Eu/a1XyFG4WB9UgEBdZgRwlh46cmFclw49PaAJrkIEWTncr1KFjSCVk7LiDsj7MBzTfdWbhxTEGKHpfY2DlACA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T12:52:13.055011Z"},"content_sha256":"c4e690ff64635544d1666b3a71e84d80e9da402bb209d96eb75bbac4748fb02a","schema_version":"1.0","event_id":"sha256:c4e690ff64635544d1666b3a71e84d80e9da402bb209d96eb75bbac4748fb02a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XUGO4BQMLKUD2MGHJMFKVDGLRQ/bundle.json","state_url":"https://pith.science/pith/XUGO4BQMLKUD2MGHJMFKVDGLRQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XUGO4BQMLKUD2MGHJMFKVDGLRQ/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":"2026-06-25T12:52:13Z","links":{"resolver":"https://pith.science/pith/XUGO4BQMLKUD2MGHJMFKVDGLRQ","bundle":"https://pith.science/pith/XUGO4BQMLKUD2MGHJMFKVDGLRQ/bundle.json","state":"https://pith.science/pith/XUGO4BQMLKUD2MGHJMFKVDGLRQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XUGO4BQMLKUD2MGHJMFKVDGLRQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:XUGO4BQMLKUD2MGHJMFKVDGLRQ","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":"822acfc9ba281497ddf1904e398bc489a9568cc6e93b8a5c942b6fef69304556","cross_cats_sorted":["cs.LG","cs.SD","eess.AS","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-02-08T20:38:18Z","title_canon_sha256":"d778e928d36924e81b9c93d9be90bcb830a85a432cfeb5749da8e035c86b79cf"},"schema_version":"1.0","source":{"id":"1902.03283","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.03283","created_at":"2026-05-17T23:54:21Z"},{"alias_kind":"arxiv_version","alias_value":"1902.03283v1","created_at":"2026-05-17T23:54:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.03283","created_at":"2026-05-17T23:54:21Z"},{"alias_kind":"pith_short_12","alias_value":"XUGO4BQMLKUD","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_16","alias_value":"XUGO4BQMLKUD2MGH","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_8","alias_value":"XUGO4BQM","created_at":"2026-05-18T12:33:33Z"}],"graph_snapshots":[{"event_id":"sha256:c4e690ff64635544d1666b3a71e84d80e9da402bb209d96eb75bbac4748fb02a","target":"graph","created_at":"2026-05-17T23:54:21Z","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":"Music genre can be hard to describe: many factors are involved, such as style, music technique, and historical context. Some genres even have overlapping characteristics. Looking for a better understanding of how music genres are related to musical harmonic structures, we gathered data about the music chords for thousands of popular Brazilian songs. Here, 'popular' does not only refer to the genre named MPB (Brazilian Popular Music) but to nine different genres that were considered particular to the Brazilian case. The main goals of the present work are to extract and engineer harmonically rel","authors_text":"Bruna D. Wundervald, Walmes M. Zeviani","cross_cats":["cs.LG","cs.SD","eess.AS","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-02-08T20:38:18Z","title":"Machine learning and chord based feature engineering for genre prediction in popular Brazilian music"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.03283","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:c49f79d513217d241c33c12b46babcc96bd1b4b6eaeb14ebba799d374cdfbfd9","target":"record","created_at":"2026-05-17T23:54:21Z","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":"822acfc9ba281497ddf1904e398bc489a9568cc6e93b8a5c942b6fef69304556","cross_cats_sorted":["cs.LG","cs.SD","eess.AS","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-02-08T20:38:18Z","title_canon_sha256":"d778e928d36924e81b9c93d9be90bcb830a85a432cfeb5749da8e035c86b79cf"},"schema_version":"1.0","source":{"id":"1902.03283","kind":"arxiv","version":1}},"canonical_sha256":"bd0cee060c5aa83d30c74b0aaa8ccb8c3a805dea42c78c7463dcb99d6f0b19f4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bd0cee060c5aa83d30c74b0aaa8ccb8c3a805dea42c78c7463dcb99d6f0b19f4","first_computed_at":"2026-05-17T23:54:21.391057Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:54:21.391057Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"s2dBBbWKDASu24QJSZY+I7YpOi0uYbhJ0uJFNakCtk+78BHFApG9Yz03P4o0e2fwCJYWcFuzmj/AitBjfvQAAQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:54:21.391607Z","signed_message":"canonical_sha256_bytes"},"source_id":"1902.03283","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c49f79d513217d241c33c12b46babcc96bd1b4b6eaeb14ebba799d374cdfbfd9","sha256:c4e690ff64635544d1666b3a71e84d80e9da402bb209d96eb75bbac4748fb02a"],"state_sha256":"b718091d37a33a9c61a666d6330311fa06def8eba05b0f72ad6c442fc7c142fa"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"t4jsDjprNPj6AjGxvhmOLbNJq7pVNoKfk0nzm00B+cy3Ubq+AcvN0fP1I0RPsDRmf0S++pV/Z/8t94zValReDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-25T12:52:13.056962Z","bundle_sha256":"227bd0b60e698f9da7631d4fd227b7dcf2513840032676f242b98de4c47c38b5"}}