{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:BVMTO6UNJYPDJVJWPSFTVV4E3I","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":"1066b253bf12e65949d0a6c53c2ca1e9b4aa7e2b8a9dfe3b9ddb72aceece6682","cross_cats_sorted":["eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-10-11T02:09:40Z","title_canon_sha256":"18acaa8cbf4978c4b1f566c7aaa30833e2921d1aff37678707904809fef51b4b"},"schema_version":"1.0","source":{"id":"2210.05092","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.05092","created_at":"2026-07-05T05:05:12Z"},{"alias_kind":"arxiv_version","alias_value":"2210.05092v1","created_at":"2026-07-05T05:05:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.05092","created_at":"2026-07-05T05:05:12Z"},{"alias_kind":"pith_short_12","alias_value":"BVMTO6UNJYPD","created_at":"2026-07-05T05:05:12Z"},{"alias_kind":"pith_short_16","alias_value":"BVMTO6UNJYPDJVJW","created_at":"2026-07-05T05:05:12Z"},{"alias_kind":"pith_short_8","alias_value":"BVMTO6UN","created_at":"2026-07-05T05:05:12Z"}],"graph_snapshots":[{"event_id":"sha256:44507d019d35300d1f5b24fa37c2869702ea90f9f43b9bf3513aa2ed627448a0","target":"graph","created_at":"2026-07-05T05:05:12Z","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/2210.05092/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper is the system description of the DKU-Tencent System for the VoxCeleb Speaker Recognition Challenge 2022 (VoxSRC22). In this challenge, we focus on track1 and track3. For track1, multiple backbone networks are adopted to extract frame-level features. Since track1 focus on the cross-age scenarios, we adopt the cross-age trials and perform QMF to calibrate score. The magnitude-based quality measures achieve a large improvement. For track3, the semi-supervised domain adaptation task, the pseudo label method is adopted to make domain adaptation. Considering the noise labels in clustering","authors_text":"Chao Weng, Dan Su, Ming Li, Na Li, Xiaoyi Qin, Yiwei Ding, Yuke Lin","cross_cats":["eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-10-11T02:09:40Z","title":"The DKU-Tencent System for the VoxCeleb Speaker Recognition Challenge 2022"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.05092","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:fc0241129212a9ffc6ad0d753c7b8d5f81716513077edb884703c54702fc4180","target":"record","created_at":"2026-07-05T05:05:12Z","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":"1066b253bf12e65949d0a6c53c2ca1e9b4aa7e2b8a9dfe3b9ddb72aceece6682","cross_cats_sorted":["eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-10-11T02:09:40Z","title_canon_sha256":"18acaa8cbf4978c4b1f566c7aaa30833e2921d1aff37678707904809fef51b4b"},"schema_version":"1.0","source":{"id":"2210.05092","kind":"arxiv","version":1}},"canonical_sha256":"0d59377a8d4e1e34d5367c8b3ad784da2368e97e645e30612c47fb5e5323a39f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0d59377a8d4e1e34d5367c8b3ad784da2368e97e645e30612c47fb5e5323a39f","first_computed_at":"2026-07-05T05:05:12.661495Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:05:12.661495Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gcc+n5cM3Gr6JWpY+uXeDNvhcoQo30TZEUTqF4YEdkYjcBcQx1D2L3vJtnCvDWpGkoNhpNZxYzrBEq68b8DhCg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:05:12.662001Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.05092","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fc0241129212a9ffc6ad0d753c7b8d5f81716513077edb884703c54702fc4180","sha256:44507d019d35300d1f5b24fa37c2869702ea90f9f43b9bf3513aa2ed627448a0"],"state_sha256":"ffa62aeb6c62ec71fc8edcecb3192fadc7e8ccb20c2854b697acaa0efe916fef"}