{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:QGMLWWONE4PZO7V3NRJR2TY6KU","short_pith_number":"pith:QGMLWWON","schema_version":"1.0","canonical_sha256":"8198bb59cd271f977ebb6c531d4f1e552149e42f5f4e684879f780aa3246b4eb","source":{"kind":"arxiv","id":"2512.12477","version":2},"attestation_state":"computed","paper":{"title":"MetaHGNIE: Meta-Path Induced Hypergraph Contrastive Learning in Heterogeneous Knowledge Graphs","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.AI","authors_text":"Duxin Chen, Jiawen Chen, Mengli Wei, Qi Shao, Wenwu Yu, Yanlong Zhao, Yanyan He","submitted_at":"2025-12-13T22:21:33Z","abstract_excerpt":"Estimating node importance in heterogeneous knowledge graphs is a fundamental problem underlying recommendation, search, and knowledge decision systems. However, most existing methods rely on pairwise message passing mechanisms that fail to capture higher-order interactions induced by meta-relational structures. Furthermore, structural topology and semantic attributes are typically entangled within a unified embedding space, which obscures their distinct inductive biases and limits the discriminative capacity of learned importance representations. To address these limitations, we propose DualH"},"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":"2512.12477","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2025-12-13T22:21:33Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"a9a28e461c03de3958f34e462bc833c5fe90d1f763e7d89e9ced736df4541031","abstract_canon_sha256":"1845f095f76e39db2e20fd0c20435f8f5af60fa7d0244298c457489633be6465"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-10T01:18:56.827203Z","signature_b64":"MfYRS/pLT8Vi3adTLShDPHbH7kBgQfToDaa9lnrWroidoiU53XVszSxqlu5C4jc0nz2GQ5Ax5+qK3Ns+FJMdAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8198bb59cd271f977ebb6c531d4f1e552149e42f5f4e684879f780aa3246b4eb","last_reissued_at":"2026-07-10T01:18:56.826720Z","signature_status":"signed_v1","first_computed_at":"2026-07-10T01:18:56.826720Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"MetaHGNIE: Meta-Path Induced Hypergraph Contrastive Learning in Heterogeneous Knowledge Graphs","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.AI","authors_text":"Duxin Chen, Jiawen Chen, Mengli Wei, Qi Shao, Wenwu Yu, Yanlong Zhao, Yanyan He","submitted_at":"2025-12-13T22:21:33Z","abstract_excerpt":"Estimating node importance in heterogeneous knowledge graphs is a fundamental problem underlying recommendation, search, and knowledge decision systems. However, most existing methods rely on pairwise message passing mechanisms that fail to capture higher-order interactions induced by meta-relational structures. Furthermore, structural topology and semantic attributes are typically entangled within a unified embedding space, which obscures their distinct inductive biases and limits the discriminative capacity of learned importance representations. To address these limitations, we propose DualH"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2512.12477","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2512.12477/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2512.12477","created_at":"2026-07-10T01:18:56.826781+00:00"},{"alias_kind":"arxiv_version","alias_value":"2512.12477v2","created_at":"2026-07-10T01:18:56.826781+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2512.12477","created_at":"2026-07-10T01:18:56.826781+00:00"},{"alias_kind":"pith_short_12","alias_value":"QGMLWWONE4PZ","created_at":"2026-07-10T01:18:56.826781+00:00"},{"alias_kind":"pith_short_16","alias_value":"QGMLWWONE4PZO7V3","created_at":"2026-07-10T01:18:56.826781+00:00"},{"alias_kind":"pith_short_8","alias_value":"QGMLWWON","created_at":"2026-07-10T01:18:56.826781+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/QGMLWWONE4PZO7V3NRJR2TY6KU","json":"https://pith.science/pith/QGMLWWONE4PZO7V3NRJR2TY6KU.json","graph_json":"https://pith.science/api/pith-number/QGMLWWONE4PZO7V3NRJR2TY6KU/graph.json","events_json":"https://pith.science/api/pith-number/QGMLWWONE4PZO7V3NRJR2TY6KU/events.json","paper":"https://pith.science/paper/QGMLWWON"},"agent_actions":{"view_html":"https://pith.science/pith/QGMLWWONE4PZO7V3NRJR2TY6KU","download_json":"https://pith.science/pith/QGMLWWONE4PZO7V3NRJR2TY6KU.json","view_paper":"https://pith.science/paper/QGMLWWON","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2512.12477&json=true","fetch_graph":"https://pith.science/api/pith-number/QGMLWWONE4PZO7V3NRJR2TY6KU/graph.json","fetch_events":"https://pith.science/api/pith-number/QGMLWWONE4PZO7V3NRJR2TY6KU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QGMLWWONE4PZO7V3NRJR2TY6KU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QGMLWWONE4PZO7V3NRJR2TY6KU/action/storage_attestation","attest_author":"https://pith.science/pith/QGMLWWONE4PZO7V3NRJR2TY6KU/action/author_attestation","sign_citation":"https://pith.science/pith/QGMLWWONE4PZO7V3NRJR2TY6KU/action/citation_signature","submit_replication":"https://pith.science/pith/QGMLWWONE4PZO7V3NRJR2TY6KU/action/replication_record"}},"created_at":"2026-07-10T01:18:56.826781+00:00","updated_at":"2026-07-10T01:18:56.826781+00:00"}