{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:LLZJCMJ3YS5EPS4M32TYD6XLDL","short_pith_number":"pith:LLZJCMJ3","schema_version":"1.0","canonical_sha256":"5af291313bc4ba47cb8cdea781faeb1adc764cb3133422abbe81ff127bcfb4ed","source":{"kind":"arxiv","id":"1903.07037","version":2},"attestation_state":"computed","paper":{"title":"Audio De-identification: A New Entity Recognition Task","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Avinatan Hassidim, Gang Li, Genady Beryozkin, Idan Szpektor, Ido Cohn, Itay Laish, Izhak Shafran, Tzvika Hartman, Yossi Matias","submitted_at":"2019-03-17T07:07:44Z","abstract_excerpt":"Named Entity Recognition (NER) has been mostly studied in the context of written text. Specifically, NER is an important step in de-identification (de-ID) of medical records, many of which are recorded conversations between a patient and a doctor. In such recordings, audio spans with personal information should be redacted, similar to the redaction of sensitive character spans in de-ID for written text. The application of NER in the context of audio de-identification has yet to be fully investigated. To this end, we define the task of audio de-ID, in which audio spans with entity mentions shou"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1903.07037","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2019-03-17T07:07:44Z","cross_cats_sorted":[],"title_canon_sha256":"75525fae3cc4b4a934d76217d4546c2b722f27a044b3c48e00ed45d708913fb0","abstract_canon_sha256":"7c188f72c1cc5eff27f7322112f04f92b6ebffea447da611dd228e0b50f61f2d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:47:01.604770Z","signature_b64":"WlXjQsYp2apiQKpWWNWFePnpitxuiySxeXliT9w63n/0N/ifGuCGr2K3qIiQSC84VEmIKg63nUSGxSGYIHT4Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5af291313bc4ba47cb8cdea781faeb1adc764cb3133422abbe81ff127bcfb4ed","last_reissued_at":"2026-05-17T23:47:01.604030Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:47:01.604030Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Audio De-identification: A New Entity Recognition Task","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Avinatan Hassidim, Gang Li, Genady Beryozkin, Idan Szpektor, Ido Cohn, Itay Laish, Izhak Shafran, Tzvika Hartman, Yossi Matias","submitted_at":"2019-03-17T07:07:44Z","abstract_excerpt":"Named Entity Recognition (NER) has been mostly studied in the context of written text. Specifically, NER is an important step in de-identification (de-ID) of medical records, many of which are recorded conversations between a patient and a doctor. In such recordings, audio spans with personal information should be redacted, similar to the redaction of sensitive character spans in de-ID for written text. The application of NER in the context of audio de-identification has yet to be fully investigated. To this end, we define the task of audio de-ID, in which audio spans with entity mentions shou"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.07037","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":""},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1903.07037","created_at":"2026-05-17T23:47:01.604140+00:00"},{"alias_kind":"arxiv_version","alias_value":"1903.07037v2","created_at":"2026-05-17T23:47:01.604140+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.07037","created_at":"2026-05-17T23:47:01.604140+00:00"},{"alias_kind":"pith_short_12","alias_value":"LLZJCMJ3YS5E","created_at":"2026-05-18T12:33:21.387695+00:00"},{"alias_kind":"pith_short_16","alias_value":"LLZJCMJ3YS5EPS4M","created_at":"2026-05-18T12:33:21.387695+00:00"},{"alias_kind":"pith_short_8","alias_value":"LLZJCMJ3","created_at":"2026-05-18T12:33:21.387695+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/LLZJCMJ3YS5EPS4M32TYD6XLDL","json":"https://pith.science/pith/LLZJCMJ3YS5EPS4M32TYD6XLDL.json","graph_json":"https://pith.science/api/pith-number/LLZJCMJ3YS5EPS4M32TYD6XLDL/graph.json","events_json":"https://pith.science/api/pith-number/LLZJCMJ3YS5EPS4M32TYD6XLDL/events.json","paper":"https://pith.science/paper/LLZJCMJ3"},"agent_actions":{"view_html":"https://pith.science/pith/LLZJCMJ3YS5EPS4M32TYD6XLDL","download_json":"https://pith.science/pith/LLZJCMJ3YS5EPS4M32TYD6XLDL.json","view_paper":"https://pith.science/paper/LLZJCMJ3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1903.07037&json=true","fetch_graph":"https://pith.science/api/pith-number/LLZJCMJ3YS5EPS4M32TYD6XLDL/graph.json","fetch_events":"https://pith.science/api/pith-number/LLZJCMJ3YS5EPS4M32TYD6XLDL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LLZJCMJ3YS5EPS4M32TYD6XLDL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LLZJCMJ3YS5EPS4M32TYD6XLDL/action/storage_attestation","attest_author":"https://pith.science/pith/LLZJCMJ3YS5EPS4M32TYD6XLDL/action/author_attestation","sign_citation":"https://pith.science/pith/LLZJCMJ3YS5EPS4M32TYD6XLDL/action/citation_signature","submit_replication":"https://pith.science/pith/LLZJCMJ3YS5EPS4M32TYD6XLDL/action/replication_record"}},"created_at":"2026-05-17T23:47:01.604140+00:00","updated_at":"2026-05-17T23:47:01.604140+00:00"}