{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:KI47L45JGDA7T5UHLW7XBLL2OW","short_pith_number":"pith:KI47L45J","schema_version":"1.0","canonical_sha256":"5239f5f3a930c1f9f6875dbf70ad7a75a1c233fcd294cd411316061757acc5a9","source":{"kind":"arxiv","id":"2606.20218","version":1},"attestation_state":"computed","paper":{"title":"Zero-VC: Zero-Lookahead Streaming Voice Conversion via Speaker Anonymization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SD","authors_text":"Junwen Qiu, Ruihai Jing, Ruixiang Hang, Yingda Shen, Yudong Li, Zhizheng Wu, Zihao Fang","submitted_at":"2026-06-18T13:32:57Z","abstract_excerpt":"Streaming zero-shot voice conversion struggles to disentangle timbre from linguistic content without degrading utility or inflating latency. Current methods rely on information bottleneck (IB) or speaker perturbation. While IB filters out timbre, it discards prosody, forcing models to explicitly inject features like fundamental frequency. This often requires buffering future frames, creating algorithmic lookahead latency. On the other hand, existing perturbation methods largely overlook the crucial trade-off between timbre leakage and utility preservation. Recognizing this neglected trade-off,"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.20218","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2026-06-18T13:32:57Z","cross_cats_sorted":[],"title_canon_sha256":"883c5ba0d7067cc54f3ac6d4930f83083c754342862a9677411d0b4348ec752d","abstract_canon_sha256":"e2f78a43eced6bf65e43d4bb53a86db235d7eea42e94ae8acbc74cce26fd5a91"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:13:05.987304Z","signature_b64":"rL9yjcAZV+8EPKT+3xZxSqb+WYi2reFVCzSDVP/+FNL3nbFgMgHJgEeLa5uL4GLFtK+Wpl7Wj3YnoMJDQ2qYDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5239f5f3a930c1f9f6875dbf70ad7a75a1c233fcd294cd411316061757acc5a9","last_reissued_at":"2026-06-19T16:13:05.986959Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:13:05.986959Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Zero-VC: Zero-Lookahead Streaming Voice Conversion via Speaker Anonymization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SD","authors_text":"Junwen Qiu, Ruihai Jing, Ruixiang Hang, Yingda Shen, Yudong Li, Zhizheng Wu, Zihao Fang","submitted_at":"2026-06-18T13:32:57Z","abstract_excerpt":"Streaming zero-shot voice conversion struggles to disentangle timbre from linguistic content without degrading utility or inflating latency. Current methods rely on information bottleneck (IB) or speaker perturbation. While IB filters out timbre, it discards prosody, forcing models to explicitly inject features like fundamental frequency. This often requires buffering future frames, creating algorithmic lookahead latency. On the other hand, existing perturbation methods largely overlook the crucial trade-off between timbre leakage and utility preservation. Recognizing this neglected trade-off,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.20218","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/2606.20218/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.20218","created_at":"2026-06-19T16:13:05.987021+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.20218v1","created_at":"2026-06-19T16:13:05.987021+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.20218","created_at":"2026-06-19T16:13:05.987021+00:00"},{"alias_kind":"pith_short_12","alias_value":"KI47L45JGDA7","created_at":"2026-06-19T16:13:05.987021+00:00"},{"alias_kind":"pith_short_16","alias_value":"KI47L45JGDA7T5UH","created_at":"2026-06-19T16:13:05.987021+00:00"},{"alias_kind":"pith_short_8","alias_value":"KI47L45J","created_at":"2026-06-19T16:13:05.987021+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/KI47L45JGDA7T5UHLW7XBLL2OW","json":"https://pith.science/pith/KI47L45JGDA7T5UHLW7XBLL2OW.json","graph_json":"https://pith.science/api/pith-number/KI47L45JGDA7T5UHLW7XBLL2OW/graph.json","events_json":"https://pith.science/api/pith-number/KI47L45JGDA7T5UHLW7XBLL2OW/events.json","paper":"https://pith.science/paper/KI47L45J"},"agent_actions":{"view_html":"https://pith.science/pith/KI47L45JGDA7T5UHLW7XBLL2OW","download_json":"https://pith.science/pith/KI47L45JGDA7T5UHLW7XBLL2OW.json","view_paper":"https://pith.science/paper/KI47L45J","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.20218&json=true","fetch_graph":"https://pith.science/api/pith-number/KI47L45JGDA7T5UHLW7XBLL2OW/graph.json","fetch_events":"https://pith.science/api/pith-number/KI47L45JGDA7T5UHLW7XBLL2OW/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KI47L45JGDA7T5UHLW7XBLL2OW/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KI47L45JGDA7T5UHLW7XBLL2OW/action/storage_attestation","attest_author":"https://pith.science/pith/KI47L45JGDA7T5UHLW7XBLL2OW/action/author_attestation","sign_citation":"https://pith.science/pith/KI47L45JGDA7T5UHLW7XBLL2OW/action/citation_signature","submit_replication":"https://pith.science/pith/KI47L45JGDA7T5UHLW7XBLL2OW/action/replication_record"}},"created_at":"2026-06-19T16:13:05.987021+00:00","updated_at":"2026-06-19T16:13:05.987021+00:00"}