{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:S4U35GR6BQNTDFTC2TAYVCQVW5","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":"178944462d3c86e058352c65e4f82022e2c67298588c0d9cea9998b0c737c8db","cross_cats_sorted":["cs.CL","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2024-06-25T15:02:32Z","title_canon_sha256":"4082034eff1ddc02c117c8892c049f9faf8674a792eb3c4ca477334be18c3591"},"schema_version":"1.0","source":{"id":"2406.17618","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.17618","created_at":"2026-07-05T08:36:37Z"},{"alias_kind":"arxiv_version","alias_value":"2406.17618v1","created_at":"2026-07-05T08:36:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.17618","created_at":"2026-07-05T08:36:37Z"},{"alias_kind":"pith_short_12","alias_value":"S4U35GR6BQNT","created_at":"2026-07-05T08:36:37Z"},{"alias_kind":"pith_short_16","alias_value":"S4U35GR6BQNTDFTC","created_at":"2026-07-05T08:36:37Z"},{"alias_kind":"pith_short_8","alias_value":"S4U35GR6","created_at":"2026-07-05T08:36:37Z"}],"graph_snapshots":[{"event_id":"sha256:7f1d9c9ac7e075215d2cd2e0c224126a6c07daca431c5117f4e39b0491686abb","target":"graph","created_at":"2026-07-05T08:36:37Z","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/2406.17618/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multilingual automatic lyrics transcription (ALT) is a challenging task due to the limited availability of labelled data and the challenges introduced by singing, compared to multilingual automatic speech recognition. Although some multilingual singing datasets have been released recently, English continues to dominate these collections. Multilingual ALT remains underexplored due to the scale of data and annotation quality. In this paper, we aim to create a multilingual ALT system with available datasets. Inspired by architectures that have been proven effective for English ALT, we adapt these","authors_text":"Emmanouil Benetos, Jiawen Huang","cross_cats":["cs.CL","cs.SD"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2024-06-25T15:02:32Z","title":"Towards Building an End-to-End Multilingual Automatic Lyrics Transcription Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.17618","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":"sha256:7a4df1ee9fa57962c7b323f87724cc28ffde536600b518018c6dae667d20204d","target":"record","created_at":"2026-07-05T08:36:37Z","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":"178944462d3c86e058352c65e4f82022e2c67298588c0d9cea9998b0c737c8db","cross_cats_sorted":["cs.CL","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2024-06-25T15:02:32Z","title_canon_sha256":"4082034eff1ddc02c117c8892c049f9faf8674a792eb3c4ca477334be18c3591"},"schema_version":"1.0","source":{"id":"2406.17618","kind":"arxiv","version":1}},"canonical_sha256":"9729be9a3e0c1b319662d4c18a8a15b751d473e1c0b981d8d38d102a1f90fae1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9729be9a3e0c1b319662d4c18a8a15b751d473e1c0b981d8d38d102a1f90fae1","first_computed_at":"2026-07-05T08:36:37.891568Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:36:37.891568Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Z5m4pLjxqdSGUFpX5SLcvwkRaRG2emDV2+/xy/42CrTQwNksbXtH/lmpB35IsSPkUhfizU/A88ax5sFYwiMEAw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:36:37.892044Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.17618","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7a4df1ee9fa57962c7b323f87724cc28ffde536600b518018c6dae667d20204d","sha256:7f1d9c9ac7e075215d2cd2e0c224126a6c07daca431c5117f4e39b0491686abb"],"state_sha256":"48bf7d5244635ef7cc15fa1227a596336af895d30fef4590ba5b821f8bceee22"}