{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:TFGVTJHQFRYPWOUCMSSGNO3L5S","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":"891dc632fd4fcc031ec73c4946d6f283cf0fd5dfda55ecf29587a18f7f8bf8ff","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-28T04:50:46Z","title_canon_sha256":"2135a5a46084d5ea3cea7ee9b842e87e85945f54cf289b84ab3b23f1c82f1392"},"schema_version":"1.0","source":{"id":"2410.20733","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.20733","created_at":"2026-07-05T09:27:10Z"},{"alias_kind":"arxiv_version","alias_value":"2410.20733v1","created_at":"2026-07-05T09:27:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.20733","created_at":"2026-07-05T09:27:10Z"},{"alias_kind":"pith_short_12","alias_value":"TFGVTJHQFRYP","created_at":"2026-07-05T09:27:10Z"},{"alias_kind":"pith_short_16","alias_value":"TFGVTJHQFRYPWOUC","created_at":"2026-07-05T09:27:10Z"},{"alias_kind":"pith_short_8","alias_value":"TFGVTJHQ","created_at":"2026-07-05T09:27:10Z"}],"graph_snapshots":[{"event_id":"sha256:de692189d36d05ca0d236245b0676102b2b5609474d85bdf0daa475cc0b099d5","target":"graph","created_at":"2026-07-05T09:27:10Z","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/2410.20733/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Entity alignment is crucial for merging knowledge across knowledge graphs, as it matches entities with identical semantics. The standard method matches these entities based on their embedding similarities using semi-supervised learning. However, diverse data sources lead to non-isomorphic neighborhood structures for aligned entities, complicating alignment, especially for less common and sparsely connected entities. This paper presents a soft label propagation framework that integrates multi-source data and iterative seed enhancement, addressing scalability challenges in handling extensive dat","authors_text":"Jianbin Li, Jiayi Du, Keqin Li, Tao Meng, Wei Ai, Yinghui Gao, Yuntao Shou","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-28T04:50:46Z","title":"SEG:Seeds-Enhanced Iterative Refinement Graph Neural Network for Entity Alignment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.20733","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":"sha256:579ef0ddb7d3c0e96adfb7e1679befd5ec98142f264c4584f53baa0165346e8c","target":"record","created_at":"2026-07-05T09:27:10Z","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":"891dc632fd4fcc031ec73c4946d6f283cf0fd5dfda55ecf29587a18f7f8bf8ff","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-28T04:50:46Z","title_canon_sha256":"2135a5a46084d5ea3cea7ee9b842e87e85945f54cf289b84ab3b23f1c82f1392"},"schema_version":"1.0","source":{"id":"2410.20733","kind":"arxiv","version":1}},"canonical_sha256":"994d59a4f02c70fb3a8264a466bb6beca32c4ef9c90618507f1e75995af21d1a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"994d59a4f02c70fb3a8264a466bb6beca32c4ef9c90618507f1e75995af21d1a","first_computed_at":"2026-07-05T09:27:10.177890Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:27:10.177890Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dsIYYBw6ahP0k219iE/XsXVchApAR+Cq1ykR04HEI8kfwC791KwfdQNanqtYvIP2LIl0xcMW1aklFnzGxoeTAg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:27:10.178320Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.20733","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:579ef0ddb7d3c0e96adfb7e1679befd5ec98142f264c4584f53baa0165346e8c","sha256:de692189d36d05ca0d236245b0676102b2b5609474d85bdf0daa475cc0b099d5"],"state_sha256":"a6ca34b6befc49469c70e02b47d3e0f6dd5b2441fa8738f263523fea48d52dbd"}