{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:53JG3LRFQUDXHTG6Z25HJIUSXC","short_pith_number":"pith:53JG3LRF","schema_version":"1.0","canonical_sha256":"eed26dae25850773ccdeceba74a292b88f8da1bdeb7a2f0ae67ba8c6f6d296fe","source":{"kind":"arxiv","id":"1806.03357","version":1},"attestation_state":"computed","paper":{"title":"Measuring Conversational Productivity in Child Forensic Interviews","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CY"],"primary_cat":"cs.CL","authors_text":"Manoj Kumar, Shanna Williams, Shrikanth Narayanan, Thomas Lyon, Victor Ardulov","submitted_at":"2018-06-08T21:21:19Z","abstract_excerpt":"Child Forensic Interviewing (FI) presents a challenge for effective information retrieval and decision making. The high stakes associated with the process demand that expert legal interviewers are able to effectively establish a channel of communication and elicit substantive knowledge from the child-client while minimizing potential for experiencing trauma. As a first step toward computationally modeling and producing quality spoken interviewing strategies and a generalized understanding of interview dynamics, we propose a novel methodology to computationally model effectiveness criteria, by "},"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":"1806.03357","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2018-06-08T21:21:19Z","cross_cats_sorted":["cs.CY"],"title_canon_sha256":"2fe930624b6e84916706b203dd9840eb968c7e190ba58b68f03c3d595eb3d5bf","abstract_canon_sha256":"93af9608a7037b3232ef41215f4d5dee907735b80ea976c91a5419fe59c844da"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:13:24.995996Z","signature_b64":"RmJyXrubUP4vcMAjAuzQ2SCo/ExQpW18tR1/8dKNd3LucCBhs09buimUEW3znmDBsKO1jKBnuOg92nT6cLBbDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eed26dae25850773ccdeceba74a292b88f8da1bdeb7a2f0ae67ba8c6f6d296fe","last_reissued_at":"2026-05-18T00:13:24.995338Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:13:24.995338Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Measuring Conversational Productivity in Child Forensic Interviews","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CY"],"primary_cat":"cs.CL","authors_text":"Manoj Kumar, Shanna Williams, Shrikanth Narayanan, Thomas Lyon, Victor Ardulov","submitted_at":"2018-06-08T21:21:19Z","abstract_excerpt":"Child Forensic Interviewing (FI) presents a challenge for effective information retrieval and decision making. The high stakes associated with the process demand that expert legal interviewers are able to effectively establish a channel of communication and elicit substantive knowledge from the child-client while minimizing potential for experiencing trauma. As a first step toward computationally modeling and producing quality spoken interviewing strategies and a generalized understanding of interview dynamics, we propose a novel methodology to computationally model effectiveness criteria, by "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.03357","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":""},"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":"1806.03357","created_at":"2026-05-18T00:13:24.995432+00:00"},{"alias_kind":"arxiv_version","alias_value":"1806.03357v1","created_at":"2026-05-18T00:13:24.995432+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.03357","created_at":"2026-05-18T00:13:24.995432+00:00"},{"alias_kind":"pith_short_12","alias_value":"53JG3LRFQUDX","created_at":"2026-05-18T12:32:05.422762+00:00"},{"alias_kind":"pith_short_16","alias_value":"53JG3LRFQUDXHTG6","created_at":"2026-05-18T12:32:05.422762+00:00"},{"alias_kind":"pith_short_8","alias_value":"53JG3LRF","created_at":"2026-05-18T12:32:05.422762+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/53JG3LRFQUDXHTG6Z25HJIUSXC","json":"https://pith.science/pith/53JG3LRFQUDXHTG6Z25HJIUSXC.json","graph_json":"https://pith.science/api/pith-number/53JG3LRFQUDXHTG6Z25HJIUSXC/graph.json","events_json":"https://pith.science/api/pith-number/53JG3LRFQUDXHTG6Z25HJIUSXC/events.json","paper":"https://pith.science/paper/53JG3LRF"},"agent_actions":{"view_html":"https://pith.science/pith/53JG3LRFQUDXHTG6Z25HJIUSXC","download_json":"https://pith.science/pith/53JG3LRFQUDXHTG6Z25HJIUSXC.json","view_paper":"https://pith.science/paper/53JG3LRF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1806.03357&json=true","fetch_graph":"https://pith.science/api/pith-number/53JG3LRFQUDXHTG6Z25HJIUSXC/graph.json","fetch_events":"https://pith.science/api/pith-number/53JG3LRFQUDXHTG6Z25HJIUSXC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/53JG3LRFQUDXHTG6Z25HJIUSXC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/53JG3LRFQUDXHTG6Z25HJIUSXC/action/storage_attestation","attest_author":"https://pith.science/pith/53JG3LRFQUDXHTG6Z25HJIUSXC/action/author_attestation","sign_citation":"https://pith.science/pith/53JG3LRFQUDXHTG6Z25HJIUSXC/action/citation_signature","submit_replication":"https://pith.science/pith/53JG3LRFQUDXHTG6Z25HJIUSXC/action/replication_record"}},"created_at":"2026-05-18T00:13:24.995432+00:00","updated_at":"2026-05-18T00:13:24.995432+00:00"}