{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:WOGK7LGD3GKYY2XPVI3AVWB7KW","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":"cac982b8a038a07f02c0c4954cc6a00eb7bbc41ba5be45b9bc836924e0427def","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2025-03-26T21:11:17Z","title_canon_sha256":"4db02e10c746cd832791ed71c43254598e8debc16e43190b1e27d0a68047927b"},"schema_version":"1.0","source":{"id":"2503.20992","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.20992","created_at":"2026-07-05T11:45:33Z"},{"alias_kind":"arxiv_version","alias_value":"2503.20992v2","created_at":"2026-07-05T11:45:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.20992","created_at":"2026-07-05T11:45:33Z"},{"alias_kind":"pith_short_12","alias_value":"WOGK7LGD3GKY","created_at":"2026-07-05T11:45:33Z"},{"alias_kind":"pith_short_16","alias_value":"WOGK7LGD3GKYY2XP","created_at":"2026-07-05T11:45:33Z"},{"alias_kind":"pith_short_8","alias_value":"WOGK7LGD","created_at":"2026-07-05T11:45:33Z"}],"graph_snapshots":[{"event_id":"sha256:726518ad437486fe55a76b30aaf7a358671aa7784dac508622ad3ef492b4c929","target":"graph","created_at":"2026-07-05T11:45:33Z","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/2503.20992/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Text-driven speech style transfer aims to mold the intonation, pace, and timbre of a spoken utterance to match stylistic cues from text descriptions. While existing methods leverage large-scale neural architectures or pre-trained language models, the computational costs often remain high. In this paper, we present \\emph{ReverBERT}, an efficient framework for text-driven speech style transfer that draws inspiration from a state space model (SSM) paradigm, loosely motivated by the image-based method of Wang and Liu~\\cite{wang2024stylemamba}. Unlike image domain techniques, our method operates in","authors_text":"Michael Brown, Priya Singh, Sofia Martinez","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2025-03-26T21:11:17Z","title":"ReverBERT: A State Space Model for Efficient Text-Driven Speech Style Transfer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.20992","kind":"arxiv","version":2},"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":"sha256:7e9072e2c7091ac48be680aca3332149da0ba365617dbb90359b809c4ec51f15","target":"record","created_at":"2026-07-05T11:45:33Z","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":"cac982b8a038a07f02c0c4954cc6a00eb7bbc41ba5be45b9bc836924e0427def","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2025-03-26T21:11:17Z","title_canon_sha256":"4db02e10c746cd832791ed71c43254598e8debc16e43190b1e27d0a68047927b"},"schema_version":"1.0","source":{"id":"2503.20992","kind":"arxiv","version":2}},"canonical_sha256":"b38cafacc3d9958c6aefaa360ad83f55a8516b6f16615393368328521aa7d326","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b38cafacc3d9958c6aefaa360ad83f55a8516b6f16615393368328521aa7d326","first_computed_at":"2026-07-05T11:45:33.276715Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:45:33.276715Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"h79WXt2wEcIwxtTXboTWnHOo3S0O4NF5jdotjyyRx4GfCSKuGDQ7uA7bwj1Ck2drcCBL14BFMRagL2L0bsY5Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:45:33.277178Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.20992","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7e9072e2c7091ac48be680aca3332149da0ba365617dbb90359b809c4ec51f15","sha256:726518ad437486fe55a76b30aaf7a358671aa7784dac508622ad3ef492b4c929"],"state_sha256":"bb452fc1d358dc8a2c2622650d4b1ba6f617007de8e2c1623676b10228b03be8"}