{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:NCJQITVCEX7AHIMJQHTAEFWOBP","short_pith_number":"pith:NCJQITVC","canonical_record":{"source":{"id":"1907.10393","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-07-23T04:17:58Z","cross_cats_sorted":["cs.LG","cs.SD","stat.ML"],"title_canon_sha256":"a568ff10a4bacf605f5395549c7e53e4a8e3211af581f7acb023d35693f89bb0","abstract_canon_sha256":"7b14adc330a5dfe03d58f6b2731a3dfe0892c01dd1cad6227086e96eedd17f65"},"schema_version":"1.0"},"canonical_sha256":"6893044ea225fe03a18981e60216ce0bf0312117b523c4968913a339c5593d48","source":{"kind":"arxiv","id":"1907.10393","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.10393","created_at":"2026-07-05T00:22:40Z"},{"alias_kind":"arxiv_version","alias_value":"1907.10393v1","created_at":"2026-07-05T00:22:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.10393","created_at":"2026-07-05T00:22:40Z"},{"alias_kind":"pith_short_12","alias_value":"NCJQITVCEX7A","created_at":"2026-07-05T00:22:40Z"},{"alias_kind":"pith_short_16","alias_value":"NCJQITVCEX7AHIMJ","created_at":"2026-07-05T00:22:40Z"},{"alias_kind":"pith_short_8","alias_value":"NCJQITVC","created_at":"2026-07-05T00:22:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:NCJQITVCEX7AHIMJQHTAEFWOBP","target":"record","payload":{"canonical_record":{"source":{"id":"1907.10393","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-07-23T04:17:58Z","cross_cats_sorted":["cs.LG","cs.SD","stat.ML"],"title_canon_sha256":"a568ff10a4bacf605f5395549c7e53e4a8e3211af581f7acb023d35693f89bb0","abstract_canon_sha256":"7b14adc330a5dfe03d58f6b2731a3dfe0892c01dd1cad6227086e96eedd17f65"},"schema_version":"1.0"},"canonical_sha256":"6893044ea225fe03a18981e60216ce0bf0312117b523c4968913a339c5593d48","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:22:40.907118Z","signature_b64":"xPCGUGJpx/7asVyYv2euZZauPGOCWP7OS/ZVvF97C49yGv4fUp289w2X+Mcc6PKVab6Pj0OZsTcNsBFefa/zAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6893044ea225fe03a18981e60216ce0bf0312117b523c4968913a339c5593d48","last_reissued_at":"2026-07-05T00:22:40.906640Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:22:40.906640Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1907.10393","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":"2026-07-05T00:22:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PCm+22mkPjwgV9wRcQSPlggoE2CPE3TsIoiMD0gYoQSbZoHwelmZpx1Gb10WBb43ol7bXls+5msMwMJd50ZaCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T02:44:22.831743Z"},"content_sha256":"67124011732dd0d5a85f6ab4b4a35e5e9a8bcec592ddd1d4bee0ca955f638911","schema_version":"1.0","event_id":"sha256:67124011732dd0d5a85f6ab4b4a35e5e9a8bcec592ddd1d4bee0ca955f638911"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:NCJQITVCEX7AHIMJQHTAEFWOBP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LSTM based Similarity Measurement with Spectral Clustering for Speaker Diarization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.SD","stat.ML"],"primary_cat":"eess.AS","authors_text":"Claude Barras, Herv\\'e Bredin, Ming Li, Qingjian Lin, Ruiqing Yin","submitted_at":"2019-07-23T04:17:58Z","abstract_excerpt":"More and more neural network approaches have achieved considerable improvement upon submodules of speaker diarization system, including speaker change detection and segment-wise speaker embedding extraction. Still, in the clustering stage, traditional algorithms like probabilistic linear discriminant analysis (PLDA) are widely used for scoring the similarity between two speech segments. In this paper, we propose a supervised method to measure the similarity matrix between all segments of an audio recording with sequential bidirectional long short-term memory networks (Bi-LSTM). Spectral cluste"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.10393","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/1907.10393/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":"2026-07-05T00:22:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tMAzM3FF3CKAoV93obbyRrZlIlVV4TO7F+177hNxGdnXEPPDbayxdqcL//JHgoGhzRLuRsRXdMO1cDRnXCj6Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T02:44:22.832271Z"},"content_sha256":"6665884810ce5b3fc5db6d50a139f2840ee654df6f339db2f06adb1ae7f1ad6a","schema_version":"1.0","event_id":"sha256:6665884810ce5b3fc5db6d50a139f2840ee654df6f339db2f06adb1ae7f1ad6a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NCJQITVCEX7AHIMJQHTAEFWOBP/bundle.json","state_url":"https://pith.science/pith/NCJQITVCEX7AHIMJQHTAEFWOBP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NCJQITVCEX7AHIMJQHTAEFWOBP/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":"2026-08-16T02:44:22Z","links":{"resolver":"https://pith.science/pith/NCJQITVCEX7AHIMJQHTAEFWOBP","bundle":"https://pith.science/pith/NCJQITVCEX7AHIMJQHTAEFWOBP/bundle.json","state":"https://pith.science/pith/NCJQITVCEX7AHIMJQHTAEFWOBP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NCJQITVCEX7AHIMJQHTAEFWOBP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:NCJQITVCEX7AHIMJQHTAEFWOBP","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":"7b14adc330a5dfe03d58f6b2731a3dfe0892c01dd1cad6227086e96eedd17f65","cross_cats_sorted":["cs.LG","cs.SD","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-07-23T04:17:58Z","title_canon_sha256":"a568ff10a4bacf605f5395549c7e53e4a8e3211af581f7acb023d35693f89bb0"},"schema_version":"1.0","source":{"id":"1907.10393","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.10393","created_at":"2026-07-05T00:22:40Z"},{"alias_kind":"arxiv_version","alias_value":"1907.10393v1","created_at":"2026-07-05T00:22:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.10393","created_at":"2026-07-05T00:22:40Z"},{"alias_kind":"pith_short_12","alias_value":"NCJQITVCEX7A","created_at":"2026-07-05T00:22:40Z"},{"alias_kind":"pith_short_16","alias_value":"NCJQITVCEX7AHIMJ","created_at":"2026-07-05T00:22:40Z"},{"alias_kind":"pith_short_8","alias_value":"NCJQITVC","created_at":"2026-07-05T00:22:40Z"}],"graph_snapshots":[{"event_id":"sha256:6665884810ce5b3fc5db6d50a139f2840ee654df6f339db2f06adb1ae7f1ad6a","target":"graph","created_at":"2026-07-05T00:22:40Z","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/1907.10393/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"More and more neural network approaches have achieved considerable improvement upon submodules of speaker diarization system, including speaker change detection and segment-wise speaker embedding extraction. Still, in the clustering stage, traditional algorithms like probabilistic linear discriminant analysis (PLDA) are widely used for scoring the similarity between two speech segments. In this paper, we propose a supervised method to measure the similarity matrix between all segments of an audio recording with sequential bidirectional long short-term memory networks (Bi-LSTM). Spectral cluste","authors_text":"Claude Barras, Herv\\'e Bredin, Ming Li, Qingjian Lin, Ruiqing Yin","cross_cats":["cs.LG","cs.SD","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-07-23T04:17:58Z","title":"LSTM based Similarity Measurement with Spectral Clustering for Speaker Diarization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.10393","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":"sha256:67124011732dd0d5a85f6ab4b4a35e5e9a8bcec592ddd1d4bee0ca955f638911","target":"record","created_at":"2026-07-05T00:22:40Z","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":"7b14adc330a5dfe03d58f6b2731a3dfe0892c01dd1cad6227086e96eedd17f65","cross_cats_sorted":["cs.LG","cs.SD","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-07-23T04:17:58Z","title_canon_sha256":"a568ff10a4bacf605f5395549c7e53e4a8e3211af581f7acb023d35693f89bb0"},"schema_version":"1.0","source":{"id":"1907.10393","kind":"arxiv","version":1}},"canonical_sha256":"6893044ea225fe03a18981e60216ce0bf0312117b523c4968913a339c5593d48","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6893044ea225fe03a18981e60216ce0bf0312117b523c4968913a339c5593d48","first_computed_at":"2026-07-05T00:22:40.906640Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:22:40.906640Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xPCGUGJpx/7asVyYv2euZZauPGOCWP7OS/ZVvF97C49yGv4fUp289w2X+Mcc6PKVab6Pj0OZsTcNsBFefa/zAg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:22:40.907118Z","signed_message":"canonical_sha256_bytes"},"source_id":"1907.10393","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:67124011732dd0d5a85f6ab4b4a35e5e9a8bcec592ddd1d4bee0ca955f638911","sha256:6665884810ce5b3fc5db6d50a139f2840ee654df6f339db2f06adb1ae7f1ad6a"],"state_sha256":"5ea09415eb19d4bb7c273aa0759efdfa28b7426593fae044d0d14100f5556600"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nr431dvS89yWyzNGlETtB+8OeDytR2fvk2HCSvPT5dTXp1gFRdLDrrUv6NNGRoDKMm9z9JW6K/VuOMgAAJxcBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T02:44:22.837066Z","bundle_sha256":"c161b7ea04604652dcd0e5e2c084798aea4b1cb062f4f100c13929c6666df809"}}