{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:PIPADSK66J4CJZYA4ZEQCPQTFH","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":"95299c7753863860dc53a59c9453760eaf2cff76dadfad02f6d034221fa39477","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-04-03T08:57:15Z","title_canon_sha256":"4366bf121eb2dd0b68653c7c0de92e19fa60a71431d0c37be8a47f4721ba35df"},"schema_version":"1.0","source":{"id":"2504.02407","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.02407","created_at":"2026-07-05T10:52:21Z"},{"alias_kind":"arxiv_version","alias_value":"2504.02407v3","created_at":"2026-07-05T10:52:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.02407","created_at":"2026-07-05T10:52:21Z"},{"alias_kind":"pith_short_12","alias_value":"PIPADSK66J4C","created_at":"2026-07-05T10:52:21Z"},{"alias_kind":"pith_short_16","alias_value":"PIPADSK66J4CJZYA","created_at":"2026-07-05T10:52:21Z"},{"alias_kind":"pith_short_8","alias_value":"PIPADSK6","created_at":"2026-07-05T10:52:21Z"}],"graph_snapshots":[{"event_id":"sha256:2b4aace194287017b0dfea0c32a6e8727de835f69487f296401ef72901e5079a","target":"graph","created_at":"2026-07-05T10:52:21Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2504.02407/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present F5R-TTS, a novel text-to-speech (TTS) system that integrates Group Relative Policy Optimization (GRPO) into a flow-matching based architecture. By reformulating the deterministic outputs of flow-matching TTS into probabilistic Gaussian distributions, our approach enables seamless integration of reinforcement learning algorithms. During pretraining, we train a probabilistically reformulated flow-matching based model which is derived from F5-TTS with an open-source dataset. In the subsequent reinforcement learning (RL) phase, we employ a GRPO-driven enhancement stage that leverages du","authors_text":"Baoxun Wang, Bowen Wu, Jianye Mo, Qun Yu, Ruitong Xiao, Xiaohui Sun","cross_cats":["eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-04-03T08:57:15Z","title":"F5R-TTS: Improving Flow-Matching based Text-to-Speech with Group Relative Policy Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.02407","kind":"arxiv","version":3},"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":"sha256:77d23331ed3213e563af74f2788d1d93b9842d44c52cd9265065edb9d4ad38ac","target":"record","created_at":"2026-07-05T10:52:21Z","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":"95299c7753863860dc53a59c9453760eaf2cff76dadfad02f6d034221fa39477","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-04-03T08:57:15Z","title_canon_sha256":"4366bf121eb2dd0b68653c7c0de92e19fa60a71431d0c37be8a47f4721ba35df"},"schema_version":"1.0","source":{"id":"2504.02407","kind":"arxiv","version":3}},"canonical_sha256":"7a1e01c95ef27824e700e649013e1329ed8cd8ed32c12eb108afaa26043c1479","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7a1e01c95ef27824e700e649013e1329ed8cd8ed32c12eb108afaa26043c1479","first_computed_at":"2026-07-05T10:52:21.730849Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:52:21.730849Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"U7DsrT15lWFfAJIJPHitn4etSAm+9ODzVC+yKhVDyIDTrJBOIsIbS3uRcEMwk23PxGK6TyowJI7JTsNucxNOAA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:52:21.731391Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.02407","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:77d23331ed3213e563af74f2788d1d93b9842d44c52cd9265065edb9d4ad38ac","sha256:2b4aace194287017b0dfea0c32a6e8727de835f69487f296401ef72901e5079a"],"state_sha256":"f07f77fe504a3a28df8f911c0b6bdd81a1df969bf260c8556851807079d0a49f"}