{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5DZPXSJIXM6GFJF5NQ4DU5NNSK","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":"4810540361d94f5fbf9b55470ede1b3fc842a3eb7f197584374dfb177bd0c0b7","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2024-11-12T20:15:58Z","title_canon_sha256":"076b0b068618b995689d213676a53f9b755fc658f1ccdf472bd74f352c3e1f88"},"schema_version":"1.0","source":{"id":"2411.08165","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.08165","created_at":"2026-07-05T10:56:12Z"},{"alias_kind":"arxiv_version","alias_value":"2411.08165v2","created_at":"2026-07-05T10:56:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.08165","created_at":"2026-07-05T10:56:12Z"},{"alias_kind":"pith_short_12","alias_value":"5DZPXSJIXM6G","created_at":"2026-07-05T10:56:12Z"},{"alias_kind":"pith_short_16","alias_value":"5DZPXSJIXM6GFJF5","created_at":"2026-07-05T10:56:12Z"},{"alias_kind":"pith_short_8","alias_value":"5DZPXSJI","created_at":"2026-07-05T10:56:12Z"}],"graph_snapshots":[{"event_id":"sha256:ca3a0b5f94c90d71662a1eb010ec6823f9c97aadd9d4bfa4b7873e293cdb247e","target":"graph","created_at":"2026-07-05T10:56:12Z","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/2411.08165/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The Knowledge Graph Completion~(KGC) task aims to infer the missing entity from an incomplete triple. Existing embedding-based methods rely solely on triples in the KG, which is vulnerable to specious relation patterns and long-tail entities. On the other hand, text-based methods struggle with the semantic gap between KG triples and natural language. Apart from triples, entity contexts (e.g., labels, descriptions, aliases) also play a significant role in augmenting KGs. To address these limitations, we propose KGR3, a context-enriched framework for KGC. KGR3 is composed of three modules. First","authors_text":"Cehao Yang, Chengjin Xu, Ho-fung Leung, Irwin King, Jian Guo, Muzhi Li, Xuhui Jiang, Yiyan Qi","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2024-11-12T20:15:58Z","title":"Retrieval, Reasoning, Re-ranking: A Context-Enriched Framework for Knowledge Graph Completion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.08165","kind":"arxiv","version":2},"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:e2e0c1579d2535319ac8dd37e75ef31357a6a5f4c2657c8470b434a3e23fee13","target":"record","created_at":"2026-07-05T10:56:12Z","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":"4810540361d94f5fbf9b55470ede1b3fc842a3eb7f197584374dfb177bd0c0b7","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2024-11-12T20:15:58Z","title_canon_sha256":"076b0b068618b995689d213676a53f9b755fc658f1ccdf472bd74f352c3e1f88"},"schema_version":"1.0","source":{"id":"2411.08165","kind":"arxiv","version":2}},"canonical_sha256":"e8f2fbc928bb3c62a4bd6c383a75ad9297af02c46c0decdb6b615b34955f1379","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e8f2fbc928bb3c62a4bd6c383a75ad9297af02c46c0decdb6b615b34955f1379","first_computed_at":"2026-07-05T10:56:12.322624Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:56:12.322624Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"r04ck2wIWnTTctbOVNxRuQQ1vJut3EriQE+L5+WONsuF5qqgFcxjfnUoKUtZhkLCjKJwoAYaJWulb1kRb4n6BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:56:12.323104Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.08165","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e2e0c1579d2535319ac8dd37e75ef31357a6a5f4c2657c8470b434a3e23fee13","sha256:ca3a0b5f94c90d71662a1eb010ec6823f9c97aadd9d4bfa4b7873e293cdb247e"],"state_sha256":"266678ae65d91d5f1d1e1d2c75f076a0403eb6f7b5c79f844a05a9297880eed7"}