{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:4VUDO36SJS6ADRRK2CSLAHRZ5W","short_pith_number":"pith:4VUDO36S","schema_version":"1.0","canonical_sha256":"e568376fd24cbc01c62ad0a4b01e39ed8de44ac3a16d96c0a88e82ff1bc25ba1","source":{"kind":"arxiv","id":"1904.10217","version":1},"attestation_state":"computed","paper":{"title":"Crowdsourced Truth Discovery in the Presence of Hierarchies for Knowledge Fusion","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Kyuseok Shim, Woohwan Jung, Younghoon Kim","submitted_at":"2019-04-23T09:23:47Z","abstract_excerpt":"Existing works for truth discovery in categorical data usually assume that claimed values are mutually exclusive and only one among them is correct. However, many claimed values are not mutually exclusive even for functional predicates due to their hierarchical structures. Thus, we need to consider the hierarchical structure to effectively estimate the trustworthiness of the sources and infer the truths. We propose a probabilistic model to utilize the hierarchical structures and an inference algorithm to find the truths. In addition, in the knowledge fusion, the step of automatically extractin"},"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":"1904.10217","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DB","submitted_at":"2019-04-23T09:23:47Z","cross_cats_sorted":[],"title_canon_sha256":"bf115a60711b1b28a15389d786285fa46ebd6a401d9463a6b04f19b9369ea8f0","abstract_canon_sha256":"56ae8afb4add08e60d37fb78f904301fbf32a8e83898a7a8bf69bf0cdd16e5f5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:47:54.786589Z","signature_b64":"X4GqzNCzNRQXBqY3LOf1jKx774YnVb0onRrjkMbBB9pLLx3F9vhAXCDJb9yB+SUcOknBd2BjegEjt7e8Lt0qCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e568376fd24cbc01c62ad0a4b01e39ed8de44ac3a16d96c0a88e82ff1bc25ba1","last_reissued_at":"2026-05-17T23:47:54.785912Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:47:54.785912Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Crowdsourced Truth Discovery in the Presence of Hierarchies for Knowledge Fusion","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Kyuseok Shim, Woohwan Jung, Younghoon Kim","submitted_at":"2019-04-23T09:23:47Z","abstract_excerpt":"Existing works for truth discovery in categorical data usually assume that claimed values are mutually exclusive and only one among them is correct. However, many claimed values are not mutually exclusive even for functional predicates due to their hierarchical structures. Thus, we need to consider the hierarchical structure to effectively estimate the trustworthiness of the sources and infer the truths. We propose a probabilistic model to utilize the hierarchical structures and an inference algorithm to find the truths. In addition, in the knowledge fusion, the step of automatically extractin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.10217","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":"1904.10217","created_at":"2026-05-17T23:47:54.786011+00:00"},{"alias_kind":"arxiv_version","alias_value":"1904.10217v1","created_at":"2026-05-17T23:47:54.786011+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.10217","created_at":"2026-05-17T23:47:54.786011+00:00"},{"alias_kind":"pith_short_12","alias_value":"4VUDO36SJS6A","created_at":"2026-05-18T12:33:10.108867+00:00"},{"alias_kind":"pith_short_16","alias_value":"4VUDO36SJS6ADRRK","created_at":"2026-05-18T12:33:10.108867+00:00"},{"alias_kind":"pith_short_8","alias_value":"4VUDO36S","created_at":"2026-05-18T12:33:10.108867+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/4VUDO36SJS6ADRRK2CSLAHRZ5W","json":"https://pith.science/pith/4VUDO36SJS6ADRRK2CSLAHRZ5W.json","graph_json":"https://pith.science/api/pith-number/4VUDO36SJS6ADRRK2CSLAHRZ5W/graph.json","events_json":"https://pith.science/api/pith-number/4VUDO36SJS6ADRRK2CSLAHRZ5W/events.json","paper":"https://pith.science/paper/4VUDO36S"},"agent_actions":{"view_html":"https://pith.science/pith/4VUDO36SJS6ADRRK2CSLAHRZ5W","download_json":"https://pith.science/pith/4VUDO36SJS6ADRRK2CSLAHRZ5W.json","view_paper":"https://pith.science/paper/4VUDO36S","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1904.10217&json=true","fetch_graph":"https://pith.science/api/pith-number/4VUDO36SJS6ADRRK2CSLAHRZ5W/graph.json","fetch_events":"https://pith.science/api/pith-number/4VUDO36SJS6ADRRK2CSLAHRZ5W/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4VUDO36SJS6ADRRK2CSLAHRZ5W/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4VUDO36SJS6ADRRK2CSLAHRZ5W/action/storage_attestation","attest_author":"https://pith.science/pith/4VUDO36SJS6ADRRK2CSLAHRZ5W/action/author_attestation","sign_citation":"https://pith.science/pith/4VUDO36SJS6ADRRK2CSLAHRZ5W/action/citation_signature","submit_replication":"https://pith.science/pith/4VUDO36SJS6ADRRK2CSLAHRZ5W/action/replication_record"}},"created_at":"2026-05-17T23:47:54.786011+00:00","updated_at":"2026-05-17T23:47:54.786011+00:00"}