{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:XCA34EJBOT47YFJVUYUR6E62WL","short_pith_number":"pith:XCA34EJB","canonical_record":{"source":{"id":"2608.03623","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2026-08-04T13:12:41Z","cross_cats_sorted":[],"title_canon_sha256":"d6868448ddb733aa57de85f6aad4cfbf676fb8dd596067889e9bf6f16f715977","abstract_canon_sha256":"afd5a59561479a9e0cf659dcea31be732f7f2ea6cdfef1a4c7e147c48c829382"},"schema_version":"1.0"},"canonical_sha256":"b881be112174f9fc1535a6291f13dab2c84445e6e50edd3d22dbe905915a5586","source":{"kind":"arxiv","id":"2608.03623","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.03623","created_at":"2026-08-05T01:36:46Z"},{"alias_kind":"arxiv_version","alias_value":"2608.03623v1","created_at":"2026-08-05T01:36:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.03623","created_at":"2026-08-05T01:36:46Z"},{"alias_kind":"pith_short_12","alias_value":"XCA34EJBOT47","created_at":"2026-08-05T01:36:46Z"},{"alias_kind":"pith_short_16","alias_value":"XCA34EJBOT47YFJV","created_at":"2026-08-05T01:36:46Z"},{"alias_kind":"pith_short_8","alias_value":"XCA34EJB","created_at":"2026-08-05T01:36:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:XCA34EJBOT47YFJVUYUR6E62WL","target":"record","payload":{"canonical_record":{"source":{"id":"2608.03623","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2026-08-04T13:12:41Z","cross_cats_sorted":[],"title_canon_sha256":"d6868448ddb733aa57de85f6aad4cfbf676fb8dd596067889e9bf6f16f715977","abstract_canon_sha256":"afd5a59561479a9e0cf659dcea31be732f7f2ea6cdfef1a4c7e147c48c829382"},"schema_version":"1.0"},"canonical_sha256":"b881be112174f9fc1535a6291f13dab2c84445e6e50edd3d22dbe905915a5586","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-05T01:36:46.762064Z","signature_b64":"NTziypoyXQiGL94zBmYJfZOKLDufwK8mPQ3eJJiYSDrgvtSe2Z+ghHamka4hGBMe7GovTxpZ91vDHpWUAXAZDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b881be112174f9fc1535a6291f13dab2c84445e6e50edd3d22dbe905915a5586","last_reissued_at":"2026-08-05T01:36:46.760667Z","signature_status":"signed_v1","first_computed_at":"2026-08-05T01:36:46.760667Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.03623","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":"2026-08-05T01:36:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1JPXtAlWETO0EC4ShgZknytyHTQBznfN1K/CoReubfh+gSD6DXO0bw3gMlSsCkdkR7yG9fvpVpdlgoGO0DzxDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T15:14:20.628564Z"},"content_sha256":"29010592895c46613c668830cf35e445a4a38d5e622e13bc75a00546286e7143","schema_version":"1.0","event_id":"sha256:29010592895c46613c668830cf35e445a4a38d5e622e13bc75a00546286e7143"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:XCA34EJBOT47YFJVUYUR6E62WL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Speaker Verification Under Real Classroom Conditions for English Speech","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"eess.AS","authors_text":"Carol Espy-Wilson, Jing Liu, Megh Krishnaswamy, Saba Tabatabaee","submitted_at":"2026-08-04T13:12:41Z","abstract_excerpt":"Developing speaker verification (SV) models that are robust to classroom noise and effective across both children and adult speakers is critical for AI tools supporting educational environments. In this study, we use a real-world English-speaking classrooms dataset containing partial speaker identity annotations, with most recordings remaining unlabeled. We adapt the WavLM-TDNN model for classroom SV, achieving average relative reductions in Equal Error Rate (EER) of 23.99% and 6.32% compared to the ECAPA-TDNN baseline and the ECAPA-TDNN model trained on classroom data, respectively. Additiona"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.03623","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/2608.03623/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":"2026-08-05T01:36:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Yy/OvlAEvaogDrFM/B5hrcz3vXMlZtGdYx9FdyjrGkjxSH0eLSVifAN6ljAFDbF8z9wj6DXcSuwH+KaRjAwUAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T15:14:20.631391Z"},"content_sha256":"5d957edf09f84fbe7d27b1a82add79f82b1a8d8490e221a70df18aa7457dcdc6","schema_version":"1.0","event_id":"sha256:5d957edf09f84fbe7d27b1a82add79f82b1a8d8490e221a70df18aa7457dcdc6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XCA34EJBOT47YFJVUYUR6E62WL/bundle.json","state_url":"https://pith.science/pith/XCA34EJBOT47YFJVUYUR6E62WL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XCA34EJBOT47YFJVUYUR6E62WL/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":"2026-08-17T15:14:20Z","links":{"resolver":"https://pith.science/pith/XCA34EJBOT47YFJVUYUR6E62WL","bundle":"https://pith.science/pith/XCA34EJBOT47YFJVUYUR6E62WL/bundle.json","state":"https://pith.science/pith/XCA34EJBOT47YFJVUYUR6E62WL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XCA34EJBOT47YFJVUYUR6E62WL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:XCA34EJBOT47YFJVUYUR6E62WL","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":"afd5a59561479a9e0cf659dcea31be732f7f2ea6cdfef1a4c7e147c48c829382","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2026-08-04T13:12:41Z","title_canon_sha256":"d6868448ddb733aa57de85f6aad4cfbf676fb8dd596067889e9bf6f16f715977"},"schema_version":"1.0","source":{"id":"2608.03623","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.03623","created_at":"2026-08-05T01:36:46Z"},{"alias_kind":"arxiv_version","alias_value":"2608.03623v1","created_at":"2026-08-05T01:36:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.03623","created_at":"2026-08-05T01:36:46Z"},{"alias_kind":"pith_short_12","alias_value":"XCA34EJBOT47","created_at":"2026-08-05T01:36:46Z"},{"alias_kind":"pith_short_16","alias_value":"XCA34EJBOT47YFJV","created_at":"2026-08-05T01:36:46Z"},{"alias_kind":"pith_short_8","alias_value":"XCA34EJB","created_at":"2026-08-05T01:36:46Z"}],"graph_snapshots":[{"event_id":"sha256:5d957edf09f84fbe7d27b1a82add79f82b1a8d8490e221a70df18aa7457dcdc6","target":"graph","created_at":"2026-08-05T01:36:46Z","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/2608.03623/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Developing speaker verification (SV) models that are robust to classroom noise and effective across both children and adult speakers is critical for AI tools supporting educational environments. In this study, we use a real-world English-speaking classrooms dataset containing partial speaker identity annotations, with most recordings remaining unlabeled. We adapt the WavLM-TDNN model for classroom SV, achieving average relative reductions in Equal Error Rate (EER) of 23.99% and 6.32% compared to the ECAPA-TDNN baseline and the ECAPA-TDNN model trained on classroom data, respectively. Additiona","authors_text":"Carol Espy-Wilson, Jing Liu, Megh Krishnaswamy, Saba Tabatabaee","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2026-08-04T13:12:41Z","title":"Speaker Verification Under Real Classroom Conditions for English Speech"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.03623","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":"sha256:29010592895c46613c668830cf35e445a4a38d5e622e13bc75a00546286e7143","target":"record","created_at":"2026-08-05T01:36:46Z","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":"afd5a59561479a9e0cf659dcea31be732f7f2ea6cdfef1a4c7e147c48c829382","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2026-08-04T13:12:41Z","title_canon_sha256":"d6868448ddb733aa57de85f6aad4cfbf676fb8dd596067889e9bf6f16f715977"},"schema_version":"1.0","source":{"id":"2608.03623","kind":"arxiv","version":1}},"canonical_sha256":"b881be112174f9fc1535a6291f13dab2c84445e6e50edd3d22dbe905915a5586","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b881be112174f9fc1535a6291f13dab2c84445e6e50edd3d22dbe905915a5586","first_computed_at":"2026-08-05T01:36:46.760667Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-05T01:36:46.760667Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NTziypoyXQiGL94zBmYJfZOKLDufwK8mPQ3eJJiYSDrgvtSe2Z+ghHamka4hGBMe7GovTxpZ91vDHpWUAXAZDA==","signature_status":"signed_v1","signed_at":"2026-08-05T01:36:46.762064Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.03623","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:29010592895c46613c668830cf35e445a4a38d5e622e13bc75a00546286e7143","sha256:5d957edf09f84fbe7d27b1a82add79f82b1a8d8490e221a70df18aa7457dcdc6"],"state_sha256":"31874d05f79e56aa5c58661196b772a55c0398925ab9905d9031cb716db1d3e3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KKC28j3FkaMz/QjmN8b02pF0zhnjIYaWostlm7A2TLnhiWpRDegjQIq0L5bWF6GEEehoI6xsIElyeYe+OLiICQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T15:14:20.695426Z","bundle_sha256":"bf6eb39e781ef9c08023aa7efc6dcefc1567bcf77af056ba9afe140f77f5edf0"}}