{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:GOGKUNV7A73LYWNKVM5I7VYW7F","short_pith_number":"pith:GOGKUNV7","schema_version":"1.0","canonical_sha256":"338caa36bf07f6bc59aaab3a8fd716f977af74b83e79357174123ecf384532f8","source":{"kind":"arxiv","id":"1607.07956","version":1},"attestation_state":"computed","paper":{"title":"Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Katia Sycara, Rahul Iyer, Ronghuo Zheng, Tian Tian, Yuezhang Li, Zhiting Hu","submitted_at":"2016-07-27T04:51:17Z","abstract_excerpt":"Due to the lack of structured knowledge applied in learning distributed representation of cate- gories, existing work cannot incorporate category hierarchies into entity information. We propose a framework that embeds entities and categories into a semantic space by integrating structured knowledge and taxonomy hierarchy from large knowledge bases. The framework allows to com- pute meaningful semantic relatedness between entities and categories. Our framework can han- dle both single-word concepts and multiple-word concepts with superior performance on concept categorization and yield state of"},"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":"1607.07956","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2016-07-27T04:51:17Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"14489b1934ce986bd4d88b5ee48bd671ac001deb745625529461d5212c3346c2","abstract_canon_sha256":"6a34c89657808883ebd90bf3286a2a2e38f1382f5d95395e37ff8abfeca769f0"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:10:22.856105Z","signature_b64":"mnBA9ARlm3DjlGwMnGnYgvfZfrCejU5hM2z5sLfV3DP9O788QFLqiWWSS89/qH1j4ubRiabmt3EQfK6ZevipBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"338caa36bf07f6bc59aaab3a8fd716f977af74b83e79357174123ecf384532f8","last_reissued_at":"2026-05-18T01:10:22.855539Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:10:22.855539Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Katia Sycara, Rahul Iyer, Ronghuo Zheng, Tian Tian, Yuezhang Li, Zhiting Hu","submitted_at":"2016-07-27T04:51:17Z","abstract_excerpt":"Due to the lack of structured knowledge applied in learning distributed representation of cate- gories, existing work cannot incorporate category hierarchies into entity information. We propose a framework that embeds entities and categories into a semantic space by integrating structured knowledge and taxonomy hierarchy from large knowledge bases. The framework allows to com- pute meaningful semantic relatedness between entities and categories. Our framework can han- dle both single-word concepts and multiple-word concepts with superior performance on concept categorization and yield state of"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1607.07956","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":"1607.07956","created_at":"2026-05-18T01:10:22.855632+00:00"},{"alias_kind":"arxiv_version","alias_value":"1607.07956v1","created_at":"2026-05-18T01:10:22.855632+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1607.07956","created_at":"2026-05-18T01:10:22.855632+00:00"},{"alias_kind":"pith_short_12","alias_value":"GOGKUNV7A73L","created_at":"2026-05-18T12:30:19.053100+00:00"},{"alias_kind":"pith_short_16","alias_value":"GOGKUNV7A73LYWNK","created_at":"2026-05-18T12:30:19.053100+00:00"},{"alias_kind":"pith_short_8","alias_value":"GOGKUNV7","created_at":"2026-05-18T12:30:19.053100+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/GOGKUNV7A73LYWNKVM5I7VYW7F","json":"https://pith.science/pith/GOGKUNV7A73LYWNKVM5I7VYW7F.json","graph_json":"https://pith.science/api/pith-number/GOGKUNV7A73LYWNKVM5I7VYW7F/graph.json","events_json":"https://pith.science/api/pith-number/GOGKUNV7A73LYWNKVM5I7VYW7F/events.json","paper":"https://pith.science/paper/GOGKUNV7"},"agent_actions":{"view_html":"https://pith.science/pith/GOGKUNV7A73LYWNKVM5I7VYW7F","download_json":"https://pith.science/pith/GOGKUNV7A73LYWNKVM5I7VYW7F.json","view_paper":"https://pith.science/paper/GOGKUNV7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1607.07956&json=true","fetch_graph":"https://pith.science/api/pith-number/GOGKUNV7A73LYWNKVM5I7VYW7F/graph.json","fetch_events":"https://pith.science/api/pith-number/GOGKUNV7A73LYWNKVM5I7VYW7F/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GOGKUNV7A73LYWNKVM5I7VYW7F/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GOGKUNV7A73LYWNKVM5I7VYW7F/action/storage_attestation","attest_author":"https://pith.science/pith/GOGKUNV7A73LYWNKVM5I7VYW7F/action/author_attestation","sign_citation":"https://pith.science/pith/GOGKUNV7A73LYWNKVM5I7VYW7F/action/citation_signature","submit_replication":"https://pith.science/pith/GOGKUNV7A73LYWNKVM5I7VYW7F/action/replication_record"}},"created_at":"2026-05-18T01:10:22.855632+00:00","updated_at":"2026-05-18T01:10:22.855632+00:00"}