{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:4TTCUP3OSAURU6VCT7YW244YEL","short_pith_number":"pith:4TTCUP3O","canonical_record":{"source":{"id":"2103.12615","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-03-23T15:13:21Z","cross_cats_sorted":[],"title_canon_sha256":"a7fd14e19d52f933c3d4239e9619bf66560b09c31b7f545a60083965fb884b06","abstract_canon_sha256":"0d25fc0d4e5e485b432824f3ccc3db9bca20fb05b5ec95c9a6818a1f2709615d"},"schema_version":"1.0"},"canonical_sha256":"e4e62a3f6e90291a7aa29ff16d739822e9546bf0e18f7873247532ab3c830a6c","source":{"kind":"arxiv","id":"2103.12615","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.12615","created_at":"2026-07-05T02:25:48Z"},{"alias_kind":"arxiv_version","alias_value":"2103.12615v1","created_at":"2026-07-05T02:25:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.12615","created_at":"2026-07-05T02:25:48Z"},{"alias_kind":"pith_short_12","alias_value":"4TTCUP3OSAUR","created_at":"2026-07-05T02:25:48Z"},{"alias_kind":"pith_short_16","alias_value":"4TTCUP3OSAURU6VC","created_at":"2026-07-05T02:25:48Z"},{"alias_kind":"pith_short_8","alias_value":"4TTCUP3O","created_at":"2026-07-05T02:25:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:4TTCUP3OSAURU6VCT7YW244YEL","target":"record","payload":{"canonical_record":{"source":{"id":"2103.12615","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-03-23T15:13:21Z","cross_cats_sorted":[],"title_canon_sha256":"a7fd14e19d52f933c3d4239e9619bf66560b09c31b7f545a60083965fb884b06","abstract_canon_sha256":"0d25fc0d4e5e485b432824f3ccc3db9bca20fb05b5ec95c9a6818a1f2709615d"},"schema_version":"1.0"},"canonical_sha256":"e4e62a3f6e90291a7aa29ff16d739822e9546bf0e18f7873247532ab3c830a6c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:25:48.459630Z","signature_b64":"YchLcp6YSIAzFcYqsvIkXr8oAVl/+vUkROXlNixQLr0COHA8reWylA8ZB2LNAetIyJsEUetY7Fko3qNuyroDDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e4e62a3f6e90291a7aa29ff16d739822e9546bf0e18f7873247532ab3c830a6c","last_reissued_at":"2026-07-05T02:25:48.459214Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:25:48.459214Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2103.12615","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":"2026-07-05T02:25:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SslJra5w8yzvQ7McFaRiI9CCWb9BQvbRZBaCKvSMmxX/QF8g+OYV/Zwelk1tX/RFsOfeymc/s5SzAaJVoPGCDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-11T18:13:18.421802Z"},"content_sha256":"8a2d7d0b8daef9dc853d6c1da77e50babb8c5f551dd407034451e0ca4817b42b","schema_version":"1.0","event_id":"sha256:8a2d7d0b8daef9dc853d6c1da77e50babb8c5f551dd407034451e0ca4817b42b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:4TTCUP3OSAURU6VCT7YW244YEL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A General Framework for Learning Prosodic-Enhanced Representation of Rap Lyrics","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Guandong Xu, Haozheng Wang, Hongru Liang, Jiawei Chen, Jin-Mao Wei, Jun Wang, Qian Li, Zhenglu Yang","submitted_at":"2021-03-23T15:13:21Z","abstract_excerpt":"Learning and analyzing rap lyrics is a significant basis for many web applications, such as music recommendation, automatic music categorization, and music information retrieval, due to the abundant source of digital music in the World Wide Web. Although numerous studies have explored the topic, knowledge in this field is far from satisfactory, because critical issues, such as prosodic information and its effective representation, as well as appropriate integration of various features, are usually ignored. In this paper, we propose a hierarchical attention variational autoencoder framework (HA"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.12615","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/2103.12615/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":"2026-07-05T02:25:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JY6MwKYi4o2dFhflc/C+zQvPgUGP10NLDeT93Ye8wwFAK2oSbfyAHe3W3g76XU12YyFHK4lZMZxaSzT3FnYiAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-11T18:13:18.422176Z"},"content_sha256":"a55db9a79ef1eee5c2685be4d0601663a568932cc1b30454271bf0bf1d59f927","schema_version":"1.0","event_id":"sha256:a55db9a79ef1eee5c2685be4d0601663a568932cc1b30454271bf0bf1d59f927"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4TTCUP3OSAURU6VCT7YW244YEL/bundle.json","state_url":"https://pith.science/pith/4TTCUP3OSAURU6VCT7YW244YEL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4TTCUP3OSAURU6VCT7YW244YEL/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":"2026-07-11T18:13:18Z","links":{"resolver":"https://pith.science/pith/4TTCUP3OSAURU6VCT7YW244YEL","bundle":"https://pith.science/pith/4TTCUP3OSAURU6VCT7YW244YEL/bundle.json","state":"https://pith.science/pith/4TTCUP3OSAURU6VCT7YW244YEL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4TTCUP3OSAURU6VCT7YW244YEL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:4TTCUP3OSAURU6VCT7YW244YEL","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":"0d25fc0d4e5e485b432824f3ccc3db9bca20fb05b5ec95c9a6818a1f2709615d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-03-23T15:13:21Z","title_canon_sha256":"a7fd14e19d52f933c3d4239e9619bf66560b09c31b7f545a60083965fb884b06"},"schema_version":"1.0","source":{"id":"2103.12615","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.12615","created_at":"2026-07-05T02:25:48Z"},{"alias_kind":"arxiv_version","alias_value":"2103.12615v1","created_at":"2026-07-05T02:25:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.12615","created_at":"2026-07-05T02:25:48Z"},{"alias_kind":"pith_short_12","alias_value":"4TTCUP3OSAUR","created_at":"2026-07-05T02:25:48Z"},{"alias_kind":"pith_short_16","alias_value":"4TTCUP3OSAURU6VC","created_at":"2026-07-05T02:25:48Z"},{"alias_kind":"pith_short_8","alias_value":"4TTCUP3O","created_at":"2026-07-05T02:25:48Z"}],"graph_snapshots":[{"event_id":"sha256:a55db9a79ef1eee5c2685be4d0601663a568932cc1b30454271bf0bf1d59f927","target":"graph","created_at":"2026-07-05T02:25:48Z","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/2103.12615/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Learning and analyzing rap lyrics is a significant basis for many web applications, such as music recommendation, automatic music categorization, and music information retrieval, due to the abundant source of digital music in the World Wide Web. Although numerous studies have explored the topic, knowledge in this field is far from satisfactory, because critical issues, such as prosodic information and its effective representation, as well as appropriate integration of various features, are usually ignored. In this paper, we propose a hierarchical attention variational autoencoder framework (HA","authors_text":"Guandong Xu, Haozheng Wang, Hongru Liang, Jiawei Chen, Jin-Mao Wei, Jun Wang, Qian Li, Zhenglu Yang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-03-23T15:13:21Z","title":"A General Framework for Learning Prosodic-Enhanced Representation of Rap Lyrics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.12615","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":"sha256:8a2d7d0b8daef9dc853d6c1da77e50babb8c5f551dd407034451e0ca4817b42b","target":"record","created_at":"2026-07-05T02:25:48Z","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":"0d25fc0d4e5e485b432824f3ccc3db9bca20fb05b5ec95c9a6818a1f2709615d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-03-23T15:13:21Z","title_canon_sha256":"a7fd14e19d52f933c3d4239e9619bf66560b09c31b7f545a60083965fb884b06"},"schema_version":"1.0","source":{"id":"2103.12615","kind":"arxiv","version":1}},"canonical_sha256":"e4e62a3f6e90291a7aa29ff16d739822e9546bf0e18f7873247532ab3c830a6c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e4e62a3f6e90291a7aa29ff16d739822e9546bf0e18f7873247532ab3c830a6c","first_computed_at":"2026-07-05T02:25:48.459214Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:25:48.459214Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YchLcp6YSIAzFcYqsvIkXr8oAVl/+vUkROXlNixQLr0COHA8reWylA8ZB2LNAetIyJsEUetY7Fko3qNuyroDDA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:25:48.459630Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.12615","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8a2d7d0b8daef9dc853d6c1da77e50babb8c5f551dd407034451e0ca4817b42b","sha256:a55db9a79ef1eee5c2685be4d0601663a568932cc1b30454271bf0bf1d59f927"],"state_sha256":"e868ba1ac0108cfdc79afdea0fac6318ecc26f3c7e66625ecf16b5bc0fc2742f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Kl8nE9G5AOxZCmNZVRbCizS/ZZl+BfbhSFzqClQFzPZEIYFNxHuJThf/opjRMGFUcJbrvIze2W2Ik0gjEFojCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-11T18:13:18.424537Z","bundle_sha256":"f60e950e3ee67bc5d155b24a1b1814a8746c944306b57e8a79681f7abab5d72a"}}