{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:JFNCGBBKGW6PUPV4HCZEQORIIU","short_pith_number":"pith:JFNCGBBK","canonical_record":{"source":{"id":"2206.02246","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-06-05T19:45:29Z","cross_cats_sorted":["cs.AI","cs.LG","eess.AS","eess.SP"],"title_canon_sha256":"214afa373588e8e32619cb0284130ecb6456fd32acfae442bf0045f414452fd8","abstract_canon_sha256":"a36b7463debb9a8ef2fd1f12ed23a61784910cfc2929918eb25061c473c92b0f"},"schema_version":"1.0"},"canonical_sha256":"495a23042a35bcfa3ebc38b2483a28450fc1b9addd30d14fa94e91e25ef20ef9","source":{"kind":"arxiv","id":"2206.02246","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.02246","created_at":"2026-07-05T04:34:04Z"},{"alias_kind":"arxiv_version","alias_value":"2206.02246v2","created_at":"2026-07-05T04:34:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.02246","created_at":"2026-07-05T04:34:04Z"},{"alias_kind":"pith_short_12","alias_value":"JFNCGBBKGW6P","created_at":"2026-07-05T04:34:04Z"},{"alias_kind":"pith_short_16","alias_value":"JFNCGBBKGW6PUPV4","created_at":"2026-07-05T04:34:04Z"},{"alias_kind":"pith_short_8","alias_value":"JFNCGBBK","created_at":"2026-07-05T04:34:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:JFNCGBBKGW6PUPV4HCZEQORIIU","target":"record","payload":{"canonical_record":{"source":{"id":"2206.02246","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-06-05T19:45:29Z","cross_cats_sorted":["cs.AI","cs.LG","eess.AS","eess.SP"],"title_canon_sha256":"214afa373588e8e32619cb0284130ecb6456fd32acfae442bf0045f414452fd8","abstract_canon_sha256":"a36b7463debb9a8ef2fd1f12ed23a61784910cfc2929918eb25061c473c92b0f"},"schema_version":"1.0"},"canonical_sha256":"495a23042a35bcfa3ebc38b2483a28450fc1b9addd30d14fa94e91e25ef20ef9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:34:04.702020Z","signature_b64":"ufiMwStzcayiSX1XEZo+QWgoTMbGX6JtT1nwNOvkauTWesqSdonS8t/SzI36s/qfvtslXu1shqeKx0WwKZZhBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"495a23042a35bcfa3ebc38b2483a28450fc1b9addd30d14fa94e91e25ef20ef9","last_reissued_at":"2026-07-05T04:34:04.701544Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:34:04.701544Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2206.02246","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:34:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jtB40DjHgDnVDcAsHrHthh6NOAzKROUNvv1BWqJ6zZDwxFe3QHU8gIso6bxK3Q9St+fUqBwrxZpT+Bp2jWB1Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T23:51:30.073495Z"},"content_sha256":"5a7a895e47f01c15dba32c71afe67f431b978be88c6965d83bfa80359239138a","schema_version":"1.0","event_id":"sha256:5a7a895e47f01c15dba32c71afe67f431b978be88c6965d83bfa80359239138a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:JFNCGBBKGW6PUPV4HCZEQORIIU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Zero-Shot Voice Conditioning for Denoising Diffusion TTS Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG","eess.AS","eess.SP"],"primary_cat":"cs.SD","authors_text":"Alon Levkovitch, Eliya Nachmani, Lior Wolf","submitted_at":"2022-06-05T19:45:29Z","abstract_excerpt":"We present a novel way of conditioning a pretrained denoising diffusion speech model to produce speech in the voice of a novel person unseen during training. The method requires a short (~3 seconds) sample from the target person, and generation is steered at inference time, without any training steps. At the heart of the method lies a sampling process that combines the estimation of the denoising model with a low-pass version of the new speaker's sample. The objective and subjective evaluations show that our sampling method can generate a voice similar to that of the target speaker in terms of"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.02246","kind":"arxiv","version":2},"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/2206.02246/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":"2026-07-05T04:34:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cm4d5e7s+iXDk5GPOInSil7joqO1935EUPAYNrUcQBQ873/7zBd3PEkFp/ew1Ss4vEhlBH/72JPjT64FRzc9Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T23:51:30.074314Z"},"content_sha256":"f36844756bcc12c983c3687143f3a2582074e4ac6937921ef6f3d542fbdc73bd","schema_version":"1.0","event_id":"sha256:f36844756bcc12c983c3687143f3a2582074e4ac6937921ef6f3d542fbdc73bd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JFNCGBBKGW6PUPV4HCZEQORIIU/bundle.json","state_url":"https://pith.science/pith/JFNCGBBKGW6PUPV4HCZEQORIIU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JFNCGBBKGW6PUPV4HCZEQORIIU/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":"2026-08-12T23:51:30Z","links":{"resolver":"https://pith.science/pith/JFNCGBBKGW6PUPV4HCZEQORIIU","bundle":"https://pith.science/pith/JFNCGBBKGW6PUPV4HCZEQORIIU/bundle.json","state":"https://pith.science/pith/JFNCGBBKGW6PUPV4HCZEQORIIU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JFNCGBBKGW6PUPV4HCZEQORIIU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:JFNCGBBKGW6PUPV4HCZEQORIIU","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":"a36b7463debb9a8ef2fd1f12ed23a61784910cfc2929918eb25061c473c92b0f","cross_cats_sorted":["cs.AI","cs.LG","eess.AS","eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-06-05T19:45:29Z","title_canon_sha256":"214afa373588e8e32619cb0284130ecb6456fd32acfae442bf0045f414452fd8"},"schema_version":"1.0","source":{"id":"2206.02246","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.02246","created_at":"2026-07-05T04:34:04Z"},{"alias_kind":"arxiv_version","alias_value":"2206.02246v2","created_at":"2026-07-05T04:34:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.02246","created_at":"2026-07-05T04:34:04Z"},{"alias_kind":"pith_short_12","alias_value":"JFNCGBBKGW6P","created_at":"2026-07-05T04:34:04Z"},{"alias_kind":"pith_short_16","alias_value":"JFNCGBBKGW6PUPV4","created_at":"2026-07-05T04:34:04Z"},{"alias_kind":"pith_short_8","alias_value":"JFNCGBBK","created_at":"2026-07-05T04:34:04Z"}],"graph_snapshots":[{"event_id":"sha256:f36844756bcc12c983c3687143f3a2582074e4ac6937921ef6f3d542fbdc73bd","target":"graph","created_at":"2026-07-05T04:34:04Z","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/2206.02246/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a novel way of conditioning a pretrained denoising diffusion speech model to produce speech in the voice of a novel person unseen during training. The method requires a short (~3 seconds) sample from the target person, and generation is steered at inference time, without any training steps. At the heart of the method lies a sampling process that combines the estimation of the denoising model with a low-pass version of the new speaker's sample. The objective and subjective evaluations show that our sampling method can generate a voice similar to that of the target speaker in terms of","authors_text":"Alon Levkovitch, Eliya Nachmani, Lior Wolf","cross_cats":["cs.AI","cs.LG","eess.AS","eess.SP"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-06-05T19:45:29Z","title":"Zero-Shot Voice Conditioning for Denoising Diffusion TTS Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.02246","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":"sha256:5a7a895e47f01c15dba32c71afe67f431b978be88c6965d83bfa80359239138a","target":"record","created_at":"2026-07-05T04:34:04Z","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":"a36b7463debb9a8ef2fd1f12ed23a61784910cfc2929918eb25061c473c92b0f","cross_cats_sorted":["cs.AI","cs.LG","eess.AS","eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-06-05T19:45:29Z","title_canon_sha256":"214afa373588e8e32619cb0284130ecb6456fd32acfae442bf0045f414452fd8"},"schema_version":"1.0","source":{"id":"2206.02246","kind":"arxiv","version":2}},"canonical_sha256":"495a23042a35bcfa3ebc38b2483a28450fc1b9addd30d14fa94e91e25ef20ef9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"495a23042a35bcfa3ebc38b2483a28450fc1b9addd30d14fa94e91e25ef20ef9","first_computed_at":"2026-07-05T04:34:04.701544Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:34:04.701544Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ufiMwStzcayiSX1XEZo+QWgoTMbGX6JtT1nwNOvkauTWesqSdonS8t/SzI36s/qfvtslXu1shqeKx0WwKZZhBA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:34:04.702020Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.02246","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5a7a895e47f01c15dba32c71afe67f431b978be88c6965d83bfa80359239138a","sha256:f36844756bcc12c983c3687143f3a2582074e4ac6937921ef6f3d542fbdc73bd"],"state_sha256":"6e7d527081b25725be10cdf1d180ef27a12ae05e42bf77e568a19f43172811c5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AXYAmXdWwCcF5QelmCUOZMbzRN4mGgZL6tPVtXsZMNECXvU/EQ3xNeI/giR7ADbhoCYjJLelwgM7KyIv2xjyDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T23:51:30.080965Z","bundle_sha256":"b2ae4a3b7634c22b5b4032341a3136f0420b8a812e8cc4705f43233774e5ba7f"}}