{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:L7QLPIGX4EAQGDRVKUYQZDJTWT","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":"3742d73737b655679ef699b1b65ac46053d5a441ab6ede2dca127f0ea12c3e14","cross_cats_sorted":["cs.IR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-02-23T06:32:00Z","title_canon_sha256":"aa821fbff1515df75b8574b361ec2c734c1a26c40be360bf50a85a7cfccf95a1"},"schema_version":"1.0","source":{"id":"2602.19543","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.19543","created_at":"2026-07-07T02:18:35Z"},{"alias_kind":"arxiv_version","alias_value":"2602.19543v2","created_at":"2026-07-07T02:18:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.19543","created_at":"2026-07-07T02:18:35Z"},{"alias_kind":"pith_short_12","alias_value":"L7QLPIGX4EAQ","created_at":"2026-07-07T02:18:35Z"},{"alias_kind":"pith_short_16","alias_value":"L7QLPIGX4EAQGDRV","created_at":"2026-07-07T02:18:35Z"},{"alias_kind":"pith_short_8","alias_value":"L7QLPIGX","created_at":"2026-07-07T02:18:35Z"}],"graph_snapshots":[{"event_id":"sha256:dd21343e54007677e2e806baa7248af412394b20129abf71187410cc26cc994b","target":"graph","created_at":"2026-07-07T02:18:35Z","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/2602.19543/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Knowledge hypergraphs surpass traditional binary knowledge graphs by encapsulating complex n-ary atomic facts, providing a more comprehensive paradigm for semantic representation. However, constructing high-quality hypergraphs remains challenging due to the scenario gap: generic extractors struggle to generalize across diverse domains with specific jargon, while existing methods often fail to balance structural skeletons with fine-grained details. To bridge this gap, we propose Hyper-KGGen, a skill-driven framework that reformulates extraction as a dynamic skill-evolving process. First, Hyper-","authors_text":"Chuan Shi, Jun-Hai Yong, Rizhuo Huang, Rundong Xue, Shaoyi Du, Shihui Ying, Yifan Feng, Yue Gao","cross_cats":["cs.IR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-02-23T06:32:00Z","title":"Hyper-KGGen: A Skill-Driven Knowledge Extractor for High-Quality Knowledge Hypergraph Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.19543","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:e2cf3b6c6bf327376f643776f1e5678caa84b5ce432de023238952758726e72c","target":"record","created_at":"2026-07-07T02:18:35Z","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":"3742d73737b655679ef699b1b65ac46053d5a441ab6ede2dca127f0ea12c3e14","cross_cats_sorted":["cs.IR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-02-23T06:32:00Z","title_canon_sha256":"aa821fbff1515df75b8574b361ec2c734c1a26c40be360bf50a85a7cfccf95a1"},"schema_version":"1.0","source":{"id":"2602.19543","kind":"arxiv","version":2}},"canonical_sha256":"5fe0b7a0d7e101030e3555310c8d33b4c798ad1b54f2130e47e8cf81fb0ce87f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5fe0b7a0d7e101030e3555310c8d33b4c798ad1b54f2130e47e8cf81fb0ce87f","first_computed_at":"2026-07-07T02:18:35.315843Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-07T02:18:35.315843Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WVHInyNmTpHcUuOedPNMvbEoUIo64z6NRParUw8d7luwowgymRd0WeI5UE4m7gH/gMgB4IlNiZOXwzDXRDcKDA==","signature_status":"signed_v1","signed_at":"2026-07-07T02:18:35.316775Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.19543","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e2cf3b6c6bf327376f643776f1e5678caa84b5ce432de023238952758726e72c","sha256:dd21343e54007677e2e806baa7248af412394b20129abf71187410cc26cc994b"],"state_sha256":"3ca7e8e8cd439b576013b6ec4a6d832f4fadf12a78147859d1282d6f042780b3"}