{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:CAN62Q3W2DXHVQXRJXAMZGPWD7","short_pith_number":"pith:CAN62Q3W","canonical_record":{"source":{"id":"2501.00794","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2025-01-01T10:13:19Z","cross_cats_sorted":["cs.SD"],"title_canon_sha256":"adda1e6c5f2c2448f8ebc8b3e6999268d69e8b3f86db3a97b1549f630b0636d7","abstract_canon_sha256":"8fd3b234b7549e3eb9442a2462740c29cb678acc779e59fe0a5f8352d660bc20"},"schema_version":"1.0"},"canonical_sha256":"101bed4376d0ee7ac2f14dc0cc99f61ff19866fd8d63543d25de179c46470ae8","source":{"kind":"arxiv","id":"2501.00794","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.00794","created_at":"2026-07-05T09:56:10Z"},{"alias_kind":"arxiv_version","alias_value":"2501.00794v1","created_at":"2026-07-05T09:56:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.00794","created_at":"2026-07-05T09:56:10Z"},{"alias_kind":"pith_short_12","alias_value":"CAN62Q3W2DXH","created_at":"2026-07-05T09:56:10Z"},{"alias_kind":"pith_short_16","alias_value":"CAN62Q3W2DXHVQXR","created_at":"2026-07-05T09:56:10Z"},{"alias_kind":"pith_short_8","alias_value":"CAN62Q3W","created_at":"2026-07-05T09:56:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:CAN62Q3W2DXHVQXRJXAMZGPWD7","target":"record","payload":{"canonical_record":{"source":{"id":"2501.00794","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2025-01-01T10:13:19Z","cross_cats_sorted":["cs.SD"],"title_canon_sha256":"adda1e6c5f2c2448f8ebc8b3e6999268d69e8b3f86db3a97b1549f630b0636d7","abstract_canon_sha256":"8fd3b234b7549e3eb9442a2462740c29cb678acc779e59fe0a5f8352d660bc20"},"schema_version":"1.0"},"canonical_sha256":"101bed4376d0ee7ac2f14dc0cc99f61ff19866fd8d63543d25de179c46470ae8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:56:10.338198Z","signature_b64":"RyghnjfwIJn4zkfX/kYdOGvKtob5o2sTdQOgXuJHtlRiB5eXcjJEw4h9zWgL/CWvc/fypXWQ4dLuOdMFcQwUAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"101bed4376d0ee7ac2f14dc0cc99f61ff19866fd8d63543d25de179c46470ae8","last_reissued_at":"2026-07-05T09:56:10.337760Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:56:10.337760Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.00794","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:56:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hfAVvoVNSqnuKjj1becErFQtOymeHZjyLPFJMO4+tgAZw0bC81W/+nanO/GtdTlrj2J8edJXa7FnG0MIxtiuAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T23:06:00.134213Z"},"content_sha256":"7f710729e57658465e044ea97160bb402e2d62a592bc105fc2d856421d5854d2","schema_version":"1.0","event_id":"sha256:7f710729e57658465e044ea97160bb402e2d62a592bc105fc2d856421d5854d2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:CAN62Q3W2DXHVQXRJXAMZGPWD7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"VoiceRestore: Flow-Matching Transformers for Speech Recording Quality Restoration","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SD"],"primary_cat":"eess.AS","authors_text":"Stanislav Kirdey","submitted_at":"2025-01-01T10:13:19Z","abstract_excerpt":"We present VoiceRestore, a novel approach to restoring the quality of speech recordings using flow-matching Transformers trained in a self-supervised manner on synthetic data. Our method tackles a wide range of degradations frequently found in both short and long-form speech recordings, including background noise, reverberation, compression artifacts, and bandwidth limitations - all within a single, unified model. Leveraging conditional flow matching and classifier free guidance, the model learns to map degraded speech to high quality recordings without requiring paired clean and degraded data"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.00794","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2501.00794/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:56:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6loiMRQjrcyPuRupvjpSUOnvWRrW9jYC1KvaTZThkvgtHt4QqCIOF7TE3+uxICcj3VFfmSQHGOMwSph4TmvbAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T23:06:00.134788Z"},"content_sha256":"bd6a402e6873e00e5e640902381dcdb33e38bd6f11ab96c4884af4bc7737fdb2","schema_version":"1.0","event_id":"sha256:bd6a402e6873e00e5e640902381dcdb33e38bd6f11ab96c4884af4bc7737fdb2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CAN62Q3W2DXHVQXRJXAMZGPWD7/bundle.json","state_url":"https://pith.science/pith/CAN62Q3W2DXHVQXRJXAMZGPWD7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CAN62Q3W2DXHVQXRJXAMZGPWD7/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-08T23:06:00Z","links":{"resolver":"https://pith.science/pith/CAN62Q3W2DXHVQXRJXAMZGPWD7","bundle":"https://pith.science/pith/CAN62Q3W2DXHVQXRJXAMZGPWD7/bundle.json","state":"https://pith.science/pith/CAN62Q3W2DXHVQXRJXAMZGPWD7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CAN62Q3W2DXHVQXRJXAMZGPWD7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:CAN62Q3W2DXHVQXRJXAMZGPWD7","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":"8fd3b234b7549e3eb9442a2462740c29cb678acc779e59fe0a5f8352d660bc20","cross_cats_sorted":["cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2025-01-01T10:13:19Z","title_canon_sha256":"adda1e6c5f2c2448f8ebc8b3e6999268d69e8b3f86db3a97b1549f630b0636d7"},"schema_version":"1.0","source":{"id":"2501.00794","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.00794","created_at":"2026-07-05T09:56:10Z"},{"alias_kind":"arxiv_version","alias_value":"2501.00794v1","created_at":"2026-07-05T09:56:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.00794","created_at":"2026-07-05T09:56:10Z"},{"alias_kind":"pith_short_12","alias_value":"CAN62Q3W2DXH","created_at":"2026-07-05T09:56:10Z"},{"alias_kind":"pith_short_16","alias_value":"CAN62Q3W2DXHVQXR","created_at":"2026-07-05T09:56:10Z"},{"alias_kind":"pith_short_8","alias_value":"CAN62Q3W","created_at":"2026-07-05T09:56:10Z"}],"graph_snapshots":[{"event_id":"sha256:bd6a402e6873e00e5e640902381dcdb33e38bd6f11ab96c4884af4bc7737fdb2","target":"graph","created_at":"2026-07-05T09:56:10Z","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/2501.00794/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present VoiceRestore, a novel approach to restoring the quality of speech recordings using flow-matching Transformers trained in a self-supervised manner on synthetic data. Our method tackles a wide range of degradations frequently found in both short and long-form speech recordings, including background noise, reverberation, compression artifacts, and bandwidth limitations - all within a single, unified model. Leveraging conditional flow matching and classifier free guidance, the model learns to map degraded speech to high quality recordings without requiring paired clean and degraded data","authors_text":"Stanislav Kirdey","cross_cats":["cs.SD"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2025-01-01T10:13:19Z","title":"VoiceRestore: Flow-Matching Transformers for Speech Recording Quality Restoration"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.00794","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":"sha256:7f710729e57658465e044ea97160bb402e2d62a592bc105fc2d856421d5854d2","target":"record","created_at":"2026-07-05T09:56:10Z","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":"8fd3b234b7549e3eb9442a2462740c29cb678acc779e59fe0a5f8352d660bc20","cross_cats_sorted":["cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2025-01-01T10:13:19Z","title_canon_sha256":"adda1e6c5f2c2448f8ebc8b3e6999268d69e8b3f86db3a97b1549f630b0636d7"},"schema_version":"1.0","source":{"id":"2501.00794","kind":"arxiv","version":1}},"canonical_sha256":"101bed4376d0ee7ac2f14dc0cc99f61ff19866fd8d63543d25de179c46470ae8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"101bed4376d0ee7ac2f14dc0cc99f61ff19866fd8d63543d25de179c46470ae8","first_computed_at":"2026-07-05T09:56:10.337760Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:56:10.337760Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RyghnjfwIJn4zkfX/kYdOGvKtob5o2sTdQOgXuJHtlRiB5eXcjJEw4h9zWgL/CWvc/fypXWQ4dLuOdMFcQwUAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:56:10.338198Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.00794","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7f710729e57658465e044ea97160bb402e2d62a592bc105fc2d856421d5854d2","sha256:bd6a402e6873e00e5e640902381dcdb33e38bd6f11ab96c4884af4bc7737fdb2"],"state_sha256":"f3b767fc8d861e9b5300c5d9ea64ad11f95c4b58ac9eac065a5940565b8a4a3b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"StzN+LottpLYU06bRyZOLTLKhpCH7tWVlS5hhzd/LsqqE4Ua7YF+1cXdgaTsFtPPQcJrs3/I7hpB/72+diK/Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T23:06:00.138578Z","bundle_sha256":"04a8e898438cb7c725ed3a41e840d5bd8f7b87022a6c8774afc09e29d9e5d295"}}