{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:CTZEJ4T7ADHWKVVGTCU2NY6FDA","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":"fdeb347d35da990b24fcd6759fe122a3092039425f09c015f879303e45b03736","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-10-12T04:50:55Z","title_canon_sha256":"30d6bda02854d57aa012a46ea7902ea679c2443e86ebb164a662e5103a368e22"},"schema_version":"1.0","source":{"id":"2210.05921","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.05921","created_at":"2026-07-05T05:05:54Z"},{"alias_kind":"arxiv_version","alias_value":"2210.05921v1","created_at":"2026-07-05T05:05:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.05921","created_at":"2026-07-05T05:05:54Z"},{"alias_kind":"pith_short_12","alias_value":"CTZEJ4T7ADHW","created_at":"2026-07-05T05:05:54Z"},{"alias_kind":"pith_short_16","alias_value":"CTZEJ4T7ADHWKVVG","created_at":"2026-07-05T05:05:54Z"},{"alias_kind":"pith_short_8","alias_value":"CTZEJ4T7","created_at":"2026-07-05T05:05:54Z"}],"graph_snapshots":[{"event_id":"sha256:7d5150a9f8dccb820ec0a78c86f307a244aeed60ea355a36f0a8782438865bc0","target":"graph","created_at":"2026-07-05T05:05:54Z","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/2210.05921/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Knowledge graphs, as the cornerstone of many AI applications, usually face serious incompleteness problems. In recent years, there have been many efforts to study automatic knowledge graph completion (KGC), most of which use existing knowledge to infer new knowledge. However, in our experiments, we find that not all relations can be obtained by inference, which constrains the performance of existing models. To alleviate this problem, we propose a new model based on information retrieval and reading comprehension, namely IR4KGC. Specifically, we pre-train a knowledge-based information retrieval","authors_text":"Jiajie Zhang, Juanzi Li, Kaisheng Zeng, Lei Hou, Xin Lv, Yankai Lin, Zijun Yao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-10-12T04:50:55Z","title":"Step out of KG: Knowledge Graph Completion via Knowledgeable Retrieval and Reading Comprehension"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.05921","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":"sha256:1c21a5d8d118ade5d2996d68f8a786029d0b9266e5d137dcb5eaedb2478eb894","target":"record","created_at":"2026-07-05T05:05:54Z","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":"fdeb347d35da990b24fcd6759fe122a3092039425f09c015f879303e45b03736","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-10-12T04:50:55Z","title_canon_sha256":"30d6bda02854d57aa012a46ea7902ea679c2443e86ebb164a662e5103a368e22"},"schema_version":"1.0","source":{"id":"2210.05921","kind":"arxiv","version":1}},"canonical_sha256":"14f244f27f00cf6556a698a9a6e3c51833691c8c7d36502d2981905685be57fd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"14f244f27f00cf6556a698a9a6e3c51833691c8c7d36502d2981905685be57fd","first_computed_at":"2026-07-05T05:05:54.375838Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:05:54.375838Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rN1Ki9Fnw7zJa462TKD5AF4SnqPguOmiJ6nyAUM3MYFLTH3M5QOtVmp9IJRi/5t0s7UmAJM6ONA6Zkn0I3reCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:05:54.376310Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.05921","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1c21a5d8d118ade5d2996d68f8a786029d0b9266e5d137dcb5eaedb2478eb894","sha256:7d5150a9f8dccb820ec0a78c86f307a244aeed60ea355a36f0a8782438865bc0"],"state_sha256":"54d2b001ab2efe90c7b4f33c0993dff1e384e10eac0279abf5f5d6266ed9c96c"}