{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:NPXVSDYEXHH53KQAIZJGNH3OL2","short_pith_number":"pith:NPXVSDYE","canonical_record":{"source":{"id":"1908.10092","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-08-27T09:09:48Z","cross_cats_sorted":["cs.LG","cs.SD"],"title_canon_sha256":"39018115e1ef5d22df5e4819851e219ae50cd11f45baac46d201ff6398749c9d","abstract_canon_sha256":"2a890feb223c48d3c73e74702e263301a037958c5349e3a2894858fc65312b89"},"schema_version":"1.0"},"canonical_sha256":"6bef590f04b9cfddaa004652669f6e5e9b38bc882b2fe7c7020bc3c555e4da4e","source":{"kind":"arxiv","id":"1908.10092","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.10092","created_at":"2026-07-04T23:59:53Z"},{"alias_kind":"arxiv_version","alias_value":"1908.10092v1","created_at":"2026-07-04T23:59:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.10092","created_at":"2026-07-04T23:59:53Z"},{"alias_kind":"pith_short_12","alias_value":"NPXVSDYEXHH5","created_at":"2026-07-04T23:59:53Z"},{"alias_kind":"pith_short_16","alias_value":"NPXVSDYEXHH53KQA","created_at":"2026-07-04T23:59:53Z"},{"alias_kind":"pith_short_8","alias_value":"NPXVSDYE","created_at":"2026-07-04T23:59:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:NPXVSDYEXHH53KQAIZJGNH3OL2","target":"record","payload":{"canonical_record":{"source":{"id":"1908.10092","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-08-27T09:09:48Z","cross_cats_sorted":["cs.LG","cs.SD"],"title_canon_sha256":"39018115e1ef5d22df5e4819851e219ae50cd11f45baac46d201ff6398749c9d","abstract_canon_sha256":"2a890feb223c48d3c73e74702e263301a037958c5349e3a2894858fc65312b89"},"schema_version":"1.0"},"canonical_sha256":"6bef590f04b9cfddaa004652669f6e5e9b38bc882b2fe7c7020bc3c555e4da4e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-04T23:59:53.861489Z","signature_b64":"Bcpq6Vbw4UTt2xTTsctQkD9yAGRPYZBsmM9DkIuiM2mhgugbh0oXHv6cwBx3wh45swzue5YSyujgm2EtHmWgDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6bef590f04b9cfddaa004652669f6e5e9b38bc882b2fe7c7020bc3c555e4da4e","last_reissued_at":"2026-07-04T23:59:53.861001Z","signature_status":"signed_v1","first_computed_at":"2026-07-04T23:59:53.861001Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1908.10092","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":"2026-07-04T23:59:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xeiz+6NUXniE77T8vCmN8c1zumHv3vqPw4FbJKAbEJ1gsxraUyDO+TNuQhX4UzsBWt5yQcmtPGKz4lnwOZ8qDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T15:35:56.078195Z"},"content_sha256":"564ddaa2c08305d7f3160d1472a2d78d0c34d197307bc8c676ccfe77153a4daf","schema_version":"1.0","event_id":"sha256:564ddaa2c08305d7f3160d1472a2d78d0c34d197307bc8c676ccfe77153a4daf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:NPXVSDYEXHH53KQAIZJGNH3OL2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"VAE-based Domain Adaptation for Speaker Verification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.SD"],"primary_cat":"eess.AS","authors_text":"Dong Wang, Lantian Li, Xueyi Wang","submitted_at":"2019-08-27T09:09:48Z","abstract_excerpt":"Deep speaker embedding has achieved satisfactory performance in speaker verification. By enforcing the neural model to discriminate the speakers in the training set, deep speaker embedding (called `x-vectors`) can be derived from the hidden layers. Despite its good performance, the present embedding model is highly domain sensitive, which means that it often works well in domains whose acoustic condition matches that of the training data (in-domain), but degrades in mismatched domains (out-of-domain). In this paper, we present a domain adaptation approach based on Variational Auto-Encoder (VAE"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.10092","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/1908.10092/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":"2026-07-04T23:59:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cHFhu6HHHBzEHq2TXTrJsPcS7wplb//ndLpyu+WimawMaOKIU+dXvVVmfKywDZRm/HFqwYr0sxp938T8xTw0Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T15:35:56.078894Z"},"content_sha256":"a658b47dfa50e182905cec841500dd3416b92651d8908d6cd79172281417a47b","schema_version":"1.0","event_id":"sha256:a658b47dfa50e182905cec841500dd3416b92651d8908d6cd79172281417a47b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NPXVSDYEXHH53KQAIZJGNH3OL2/bundle.json","state_url":"https://pith.science/pith/NPXVSDYEXHH53KQAIZJGNH3OL2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NPXVSDYEXHH53KQAIZJGNH3OL2/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":"2026-08-20T15:35:56Z","links":{"resolver":"https://pith.science/pith/NPXVSDYEXHH53KQAIZJGNH3OL2","bundle":"https://pith.science/pith/NPXVSDYEXHH53KQAIZJGNH3OL2/bundle.json","state":"https://pith.science/pith/NPXVSDYEXHH53KQAIZJGNH3OL2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NPXVSDYEXHH53KQAIZJGNH3OL2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:NPXVSDYEXHH53KQAIZJGNH3OL2","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":"2a890feb223c48d3c73e74702e263301a037958c5349e3a2894858fc65312b89","cross_cats_sorted":["cs.LG","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-08-27T09:09:48Z","title_canon_sha256":"39018115e1ef5d22df5e4819851e219ae50cd11f45baac46d201ff6398749c9d"},"schema_version":"1.0","source":{"id":"1908.10092","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.10092","created_at":"2026-07-04T23:59:53Z"},{"alias_kind":"arxiv_version","alias_value":"1908.10092v1","created_at":"2026-07-04T23:59:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.10092","created_at":"2026-07-04T23:59:53Z"},{"alias_kind":"pith_short_12","alias_value":"NPXVSDYEXHH5","created_at":"2026-07-04T23:59:53Z"},{"alias_kind":"pith_short_16","alias_value":"NPXVSDYEXHH53KQA","created_at":"2026-07-04T23:59:53Z"},{"alias_kind":"pith_short_8","alias_value":"NPXVSDYE","created_at":"2026-07-04T23:59:53Z"}],"graph_snapshots":[{"event_id":"sha256:a658b47dfa50e182905cec841500dd3416b92651d8908d6cd79172281417a47b","target":"graph","created_at":"2026-07-04T23:59:53Z","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/1908.10092/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep speaker embedding has achieved satisfactory performance in speaker verification. By enforcing the neural model to discriminate the speakers in the training set, deep speaker embedding (called `x-vectors`) can be derived from the hidden layers. Despite its good performance, the present embedding model is highly domain sensitive, which means that it often works well in domains whose acoustic condition matches that of the training data (in-domain), but degrades in mismatched domains (out-of-domain). In this paper, we present a domain adaptation approach based on Variational Auto-Encoder (VAE","authors_text":"Dong Wang, Lantian Li, Xueyi Wang","cross_cats":["cs.LG","cs.SD"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-08-27T09:09:48Z","title":"VAE-based Domain Adaptation for Speaker Verification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.10092","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":"sha256:564ddaa2c08305d7f3160d1472a2d78d0c34d197307bc8c676ccfe77153a4daf","target":"record","created_at":"2026-07-04T23:59:53Z","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":"2a890feb223c48d3c73e74702e263301a037958c5349e3a2894858fc65312b89","cross_cats_sorted":["cs.LG","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-08-27T09:09:48Z","title_canon_sha256":"39018115e1ef5d22df5e4819851e219ae50cd11f45baac46d201ff6398749c9d"},"schema_version":"1.0","source":{"id":"1908.10092","kind":"arxiv","version":1}},"canonical_sha256":"6bef590f04b9cfddaa004652669f6e5e9b38bc882b2fe7c7020bc3c555e4da4e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6bef590f04b9cfddaa004652669f6e5e9b38bc882b2fe7c7020bc3c555e4da4e","first_computed_at":"2026-07-04T23:59:53.861001Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-04T23:59:53.861001Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Bcpq6Vbw4UTt2xTTsctQkD9yAGRPYZBsmM9DkIuiM2mhgugbh0oXHv6cwBx3wh45swzue5YSyujgm2EtHmWgDw==","signature_status":"signed_v1","signed_at":"2026-07-04T23:59:53.861489Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.10092","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:564ddaa2c08305d7f3160d1472a2d78d0c34d197307bc8c676ccfe77153a4daf","sha256:a658b47dfa50e182905cec841500dd3416b92651d8908d6cd79172281417a47b"],"state_sha256":"bb5c575b54621253f253353e51896719a06f6011024686a722f2852ff5d411da"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wx6aw/4fo0TghrUkvFFSQYKiFQA8CSgwiZL34zVoJx/MCqP3zqW3XO4ooGIckYIArQ5ZeRHpnSI3TtUHc+IqDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T15:35:56.083557Z","bundle_sha256":"e3d403eb7af799eb4975d86216962c3c0817f1069aca701e8537f954bdb7ec08"}}