{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:4KOU2YHFZ46OW7CBEJSU5PODUK","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":"c1ad48bd66307cc3fef7b5c9dad00d311cda6b9b2e389d8e91f1a56967d7fc7b","cross_cats_sorted":["cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2025-06-01T20:32:10Z","title_canon_sha256":"b56177560b1924c606b49483bd1018065860d8c309005586cd0ee767f2d06ced"},"schema_version":"1.0","source":{"id":"2506.01157","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.01157","created_at":"2026-07-05T11:13:47Z"},{"alias_kind":"arxiv_version","alias_value":"2506.01157v1","created_at":"2026-07-05T11:13:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.01157","created_at":"2026-07-05T11:13:47Z"},{"alias_kind":"pith_short_12","alias_value":"4KOU2YHFZ46O","created_at":"2026-07-05T11:13:47Z"},{"alias_kind":"pith_short_16","alias_value":"4KOU2YHFZ46OW7CB","created_at":"2026-07-05T11:13:47Z"},{"alias_kind":"pith_short_8","alias_value":"4KOU2YHF","created_at":"2026-07-05T11:13:47Z"}],"graph_snapshots":[{"event_id":"sha256:9ca4e8f39560d4e40a87df49fe17cb8524d944600351735ef569cbf1d6d1347e","target":"graph","created_at":"2026-07-05T11:13:47Z","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/2506.01157/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this work, we focus on source tracing of synthetic speech generation systems (STSGS). Each source embeds distinctive paralinguistic features--such as pitch, tone, rhythm, and intonation--into their synthesized speech, reflecting the underlying design of the generation model. While previous research has explored representations from speech pre-trained models (SPTMs), the use of representations from SPTM pre-trained for paralinguistic speech processing, which excel in paralinguistic tasks like synthetic speech detection, speech emotion recognition has not been investigated for STSGS. We hypot","authors_text":"Arun Balaji Buduru, Drishti Singh, Girish, Mohd Mujtaba Akhtar, Orchid Chetia Phukan, Pailla Balakrishna Reddy, Rajesh Sharma, Swarup Ranjan Behera","cross_cats":["cs.SD"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2025-06-01T20:32:10Z","title":"Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.01157","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:e5d4e609c64b43e7cc16a8df7f590360d21017a370038f5fbfbe775ea131580e","target":"record","created_at":"2026-07-05T11:13:47Z","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":"c1ad48bd66307cc3fef7b5c9dad00d311cda6b9b2e389d8e91f1a56967d7fc7b","cross_cats_sorted":["cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2025-06-01T20:32:10Z","title_canon_sha256":"b56177560b1924c606b49483bd1018065860d8c309005586cd0ee767f2d06ced"},"schema_version":"1.0","source":{"id":"2506.01157","kind":"arxiv","version":1}},"canonical_sha256":"e29d4d60e5cf3ceb7c4122654ebdc3a2b192bda8996419c3eee2bc89cfd8b5d5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e29d4d60e5cf3ceb7c4122654ebdc3a2b192bda8996419c3eee2bc89cfd8b5d5","first_computed_at":"2026-07-05T11:13:47.468052Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:13:47.468052Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tDHjT+DuUg6bQdZyZ1rmEovEOMb+BNOnsCXxFIBAFFUtpTOVRsRiFaDH+YY7576e/AOmHDJNIt2cDPvZK3BlDA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:13:47.468545Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.01157","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e5d4e609c64b43e7cc16a8df7f590360d21017a370038f5fbfbe775ea131580e","sha256:9ca4e8f39560d4e40a87df49fe17cb8524d944600351735ef569cbf1d6d1347e"],"state_sha256":"a0fd906785b043a376184a41ea5f337971dd412d8ee5e9e34a2bc2227e1a6be2"}