{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:H3KU4EASPPQURZFMMBRGQF5INT","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":"7f12e44a614e34a7954b33b677bfe56fc62f76d2feae18639f24d924dd154331","cross_cats_sorted":["cs.AI","cs.SD","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-08-12T15:28:51Z","title_canon_sha256":"5d9a56cd44207468f5b1530347526ad73e678b21fa96334806ad4ef31ecf685f"},"schema_version":"1.0","source":{"id":"2408.06227","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.06227","created_at":"2026-07-05T08:54:38Z"},{"alias_kind":"arxiv_version","alias_value":"2408.06227v1","created_at":"2026-07-05T08:54:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.06227","created_at":"2026-07-05T08:54:38Z"},{"alias_kind":"pith_short_12","alias_value":"H3KU4EASPPQU","created_at":"2026-07-05T08:54:38Z"},{"alias_kind":"pith_short_16","alias_value":"H3KU4EASPPQURZFM","created_at":"2026-07-05T08:54:38Z"},{"alias_kind":"pith_short_8","alias_value":"H3KU4EAS","created_at":"2026-07-05T08:54:38Z"}],"graph_snapshots":[{"event_id":"sha256:c9c0999d7160b401fc279dc10bcdd3bdfa0c4f16944bb5cbff0426816adc62a6","target":"graph","created_at":"2026-07-05T08:54:38Z","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/2408.06227/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper introduces FLEURS-R, a speech restoration applied version of the Few-shot Learning Evaluation of Universal Representations of Speech (FLEURS) corpus. FLEURS-R maintains an N-way parallel speech corpus in 102 languages as FLEURS, with improved audio quality and fidelity by applying the speech restoration model Miipher. The aim of FLEURS-R is to advance speech technology in more languages and catalyze research including text-to-speech (TTS) and other speech generation tasks in low-resource languages. Comprehensive evaluations with the restored speech and TTS baseline models trained fr","authors_text":"Haruko Ishikawa, Heiga Zen, Jason Riesa, Michiel Bacchiani, Min Ma, Shigeki Karita, Yuma Koizumi","cross_cats":["cs.AI","cs.SD","eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-08-12T15:28:51Z","title":"FLEURS-R: A Restored Multilingual Speech Corpus for Generation Tasks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.06227","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":"sha256:9519c0b7ba830ab4aee0208e0a26a555f0b642441a6d2d9c644ca814736e0a7e","target":"record","created_at":"2026-07-05T08:54:38Z","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":"7f12e44a614e34a7954b33b677bfe56fc62f76d2feae18639f24d924dd154331","cross_cats_sorted":["cs.AI","cs.SD","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-08-12T15:28:51Z","title_canon_sha256":"5d9a56cd44207468f5b1530347526ad73e678b21fa96334806ad4ef31ecf685f"},"schema_version":"1.0","source":{"id":"2408.06227","kind":"arxiv","version":1}},"canonical_sha256":"3ed54e10127be148e4ac60626817a86cc088ba23d01e1681d8c437f8137a56ac","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3ed54e10127be148e4ac60626817a86cc088ba23d01e1681d8c437f8137a56ac","first_computed_at":"2026-07-05T08:54:38.005393Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:54:38.005393Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MZmJELoPt6e9hg34F6tmhdkOILpjfsoecptyuD+TbuwCktLQtRJuSNX3Klz7rPPux6FnmHR4MqxEOueOqOyWCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:54:38.005778Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.06227","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9519c0b7ba830ab4aee0208e0a26a555f0b642441a6d2d9c644ca814736e0a7e","sha256:c9c0999d7160b401fc279dc10bcdd3bdfa0c4f16944bb5cbff0426816adc62a6"],"state_sha256":"b385aa82b6d60f03a157b1c424b5bde0581db856a06cc3bb9b764e5ea07d47c8"}