{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:WKM42LFD64BJKOJYM6PIMDNKOJ","short_pith_number":"pith:WKM42LFD","canonical_record":{"source":{"id":"2005.07383","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2020-05-15T07:10:53Z","cross_cats_sorted":["cs.LG","cs.SD"],"title_canon_sha256":"f1a9fa72dd5c1e388f0cd12fd22784a700a75bce2f0ae18c7cb590e48d9a8800","abstract_canon_sha256":"321113219dd3ed8e0f9c7c5cb9f1bf341210ad1790423ef3ce72abf301cd43dd"},"schema_version":"1.0"},"canonical_sha256":"b299cd2ca3f702953938679e860daa72646da0aabff3e756a570d18d7a71fdb5","source":{"kind":"arxiv","id":"2005.07383","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.07383","created_at":"2026-07-05T01:32:04Z"},{"alias_kind":"arxiv_version","alias_value":"2005.07383v2","created_at":"2026-07-05T01:32:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.07383","created_at":"2026-07-05T01:32:04Z"},{"alias_kind":"pith_short_12","alias_value":"WKM42LFD64BJ","created_at":"2026-07-05T01:32:04Z"},{"alias_kind":"pith_short_16","alias_value":"WKM42LFD64BJKOJY","created_at":"2026-07-05T01:32:04Z"},{"alias_kind":"pith_short_8","alias_value":"WKM42LFD","created_at":"2026-07-05T01:32:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:WKM42LFD64BJKOJYM6PIMDNKOJ","target":"record","payload":{"canonical_record":{"source":{"id":"2005.07383","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2020-05-15T07:10:53Z","cross_cats_sorted":["cs.LG","cs.SD"],"title_canon_sha256":"f1a9fa72dd5c1e388f0cd12fd22784a700a75bce2f0ae18c7cb590e48d9a8800","abstract_canon_sha256":"321113219dd3ed8e0f9c7c5cb9f1bf341210ad1790423ef3ce72abf301cd43dd"},"schema_version":"1.0"},"canonical_sha256":"b299cd2ca3f702953938679e860daa72646da0aabff3e756a570d18d7a71fdb5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:32:04.873188Z","signature_b64":"yVTQ5WY8iGq+WfHqgUjd2Thx5nm79CvHQ0VnAYNmpN0y6myVpdOhuq0IIYRXi71LVVhRyykzimV966B+DbBrAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b299cd2ca3f702953938679e860daa72646da0aabff3e756a570d18d7a71fdb5","last_reissued_at":"2026-07-05T01:32:04.872725Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:32:04.872725Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2005.07383","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":"2026-07-05T01:32:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YADf40hfRdPKSRIqhL0N+zEp4fgoO6xQP5aMNFMZZ4Ziq99GZegACLfk7ZSR4CfcgLXQN2H/+e1TGYY4Gp7gBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:29:38.468929Z"},"content_sha256":"ef996b605623a4c51495e5204ae5ec8ff6d0972eb941ca77cbc39dcd8a5d29dd","schema_version":"1.0","event_id":"sha256:ef996b605623a4c51495e5204ae5ec8ff6d0972eb941ca77cbc39dcd8a5d29dd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:WKM42LFD64BJKOJYM6PIMDNKOJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"On Bottleneck Features for Text-Dependent Speaker Verification Using X-vectors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.SD"],"primary_cat":"eess.AS","authors_text":"Achintya Kumar Sarkar, Zheng-Hua Tan","submitted_at":"2020-05-15T07:10:53Z","abstract_excerpt":"Applying x-vectors for speaker verification has recently attracted great interest, with the focus being on text-independent speaker verification. In this paper, we study x-vectors for text-dependent speaker verification (TD-SV), which remains unexplored. We further investigate the impact of the different bottleneck (BN) features on the performance of x-vectors, including the recently-introduced time-contrastive-learning (TCL) BN features and phone-discriminant BN features. TCL is a weakly supervised learning approach that constructs training data by uniformly partitioning each utterance into a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.07383","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/2005.07383/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":"2026-07-05T01:32:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gS8LBMQ0CtuN5JKXTZpKIDp4Ojp7zlMeWDD5rwp3sD4PnmMFJqweLZ+lXYfF2qCt2xV4yfxBNYlVeQcfPPINDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:29:38.469471Z"},"content_sha256":"070d8c8a3b1234f28162763c5e0169a7f5b06f1810a71a47415eb35ede114edc","schema_version":"1.0","event_id":"sha256:070d8c8a3b1234f28162763c5e0169a7f5b06f1810a71a47415eb35ede114edc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WKM42LFD64BJKOJYM6PIMDNKOJ/bundle.json","state_url":"https://pith.science/pith/WKM42LFD64BJKOJYM6PIMDNKOJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WKM42LFD64BJKOJYM6PIMDNKOJ/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":"2026-08-03T16:29:38Z","links":{"resolver":"https://pith.science/pith/WKM42LFD64BJKOJYM6PIMDNKOJ","bundle":"https://pith.science/pith/WKM42LFD64BJKOJYM6PIMDNKOJ/bundle.json","state":"https://pith.science/pith/WKM42LFD64BJKOJYM6PIMDNKOJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WKM42LFD64BJKOJYM6PIMDNKOJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:WKM42LFD64BJKOJYM6PIMDNKOJ","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":"321113219dd3ed8e0f9c7c5cb9f1bf341210ad1790423ef3ce72abf301cd43dd","cross_cats_sorted":["cs.LG","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2020-05-15T07:10:53Z","title_canon_sha256":"f1a9fa72dd5c1e388f0cd12fd22784a700a75bce2f0ae18c7cb590e48d9a8800"},"schema_version":"1.0","source":{"id":"2005.07383","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.07383","created_at":"2026-07-05T01:32:04Z"},{"alias_kind":"arxiv_version","alias_value":"2005.07383v2","created_at":"2026-07-05T01:32:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.07383","created_at":"2026-07-05T01:32:04Z"},{"alias_kind":"pith_short_12","alias_value":"WKM42LFD64BJ","created_at":"2026-07-05T01:32:04Z"},{"alias_kind":"pith_short_16","alias_value":"WKM42LFD64BJKOJY","created_at":"2026-07-05T01:32:04Z"},{"alias_kind":"pith_short_8","alias_value":"WKM42LFD","created_at":"2026-07-05T01:32:04Z"}],"graph_snapshots":[{"event_id":"sha256:070d8c8a3b1234f28162763c5e0169a7f5b06f1810a71a47415eb35ede114edc","target":"graph","created_at":"2026-07-05T01:32:04Z","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/2005.07383/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Applying x-vectors for speaker verification has recently attracted great interest, with the focus being on text-independent speaker verification. In this paper, we study x-vectors for text-dependent speaker verification (TD-SV), which remains unexplored. We further investigate the impact of the different bottleneck (BN) features on the performance of x-vectors, including the recently-introduced time-contrastive-learning (TCL) BN features and phone-discriminant BN features. TCL is a weakly supervised learning approach that constructs training data by uniformly partitioning each utterance into a","authors_text":"Achintya Kumar Sarkar, Zheng-Hua Tan","cross_cats":["cs.LG","cs.SD"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2020-05-15T07:10:53Z","title":"On Bottleneck Features for Text-Dependent Speaker Verification Using X-vectors"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.07383","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:ef996b605623a4c51495e5204ae5ec8ff6d0972eb941ca77cbc39dcd8a5d29dd","target":"record","created_at":"2026-07-05T01:32:04Z","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":"321113219dd3ed8e0f9c7c5cb9f1bf341210ad1790423ef3ce72abf301cd43dd","cross_cats_sorted":["cs.LG","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2020-05-15T07:10:53Z","title_canon_sha256":"f1a9fa72dd5c1e388f0cd12fd22784a700a75bce2f0ae18c7cb590e48d9a8800"},"schema_version":"1.0","source":{"id":"2005.07383","kind":"arxiv","version":2}},"canonical_sha256":"b299cd2ca3f702953938679e860daa72646da0aabff3e756a570d18d7a71fdb5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b299cd2ca3f702953938679e860daa72646da0aabff3e756a570d18d7a71fdb5","first_computed_at":"2026-07-05T01:32:04.872725Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:32:04.872725Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yVTQ5WY8iGq+WfHqgUjd2Thx5nm79CvHQ0VnAYNmpN0y6myVpdOhuq0IIYRXi71LVVhRyykzimV966B+DbBrAw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:32:04.873188Z","signed_message":"canonical_sha256_bytes"},"source_id":"2005.07383","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ef996b605623a4c51495e5204ae5ec8ff6d0972eb941ca77cbc39dcd8a5d29dd","sha256:070d8c8a3b1234f28162763c5e0169a7f5b06f1810a71a47415eb35ede114edc"],"state_sha256":"ea3e46525375defdabf6393d5e73e551cb5220d995a67509e2ffbdbfd32855f6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jUc08ZlIIYJLGLpaEkMvk13U0RfPclVhmvrS3QEc5b1wkZAiXROw/8mtM8gE9+IQFSkQnbKuA+OwMra2FUgiBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T16:29:38.473296Z","bundle_sha256":"09115cbc1e301b7f0f00ec531cf7e7c3a8c6e8e981c6e8f5850cb355ca20bf46"}}