{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:2AC6VPHOKFCM7YQKLPBL4JTKP3","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":"83d2b80e00f7bc5df511cb47806a73acc5a2381ff89e27f9394c788411012ba2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-12T14:16:45Z","title_canon_sha256":"7dfe75f9e0719bee730d7158947aec9b5d4b8a53a778c9cde9900c90c366b02a"},"schema_version":"1.0","source":{"id":"2502.08432","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.08432","created_at":"2026-07-05T10:13:22Z"},{"alias_kind":"arxiv_version","alias_value":"2502.08432v1","created_at":"2026-07-05T10:13:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.08432","created_at":"2026-07-05T10:13:22Z"},{"alias_kind":"pith_short_12","alias_value":"2AC6VPHOKFCM","created_at":"2026-07-05T10:13:22Z"},{"alias_kind":"pith_short_16","alias_value":"2AC6VPHOKFCM7YQK","created_at":"2026-07-05T10:13:22Z"},{"alias_kind":"pith_short_8","alias_value":"2AC6VPHO","created_at":"2026-07-05T10:13:22Z"}],"graph_snapshots":[{"event_id":"sha256:4c43ade34df18739655fca43515ac56cdcbf247c6851764dc5279cbf20dc0039","target":"graph","created_at":"2026-07-05T10:13:22Z","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/2502.08432/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Hypergraphs provide a superior modeling framework for representing complex multidimensional relationships in the context of real-world interactions that often occur in groups, overcoming the limitations of traditional homogeneous graphs. However, there have been few studies on hypergraphbased contrastive learning, and existing graph-based contrastive learning methods have not been able to fully exploit the highorder correlation information in hypergraphs. Here, we propose a Hypergraph Fine-grained contrastive learning (HyFi) method designed to exploit the complex high-dimensional information i","authors_text":"Daehee Kim, Daeyoung Roh, Donghee Han, Keejun Han, Mun Yi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-12T14:16:45Z","title":"Closer through commonality: Enhancing hypergraph contrastive learning with shared groups"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.08432","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":"sha256:376554c55ecaf3b564898b20c0ef8f2495268ec8a3a8df4d992df836edd986c9","target":"record","created_at":"2026-07-05T10:13:22Z","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":"83d2b80e00f7bc5df511cb47806a73acc5a2381ff89e27f9394c788411012ba2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-12T14:16:45Z","title_canon_sha256":"7dfe75f9e0719bee730d7158947aec9b5d4b8a53a778c9cde9900c90c366b02a"},"schema_version":"1.0","source":{"id":"2502.08432","kind":"arxiv","version":1}},"canonical_sha256":"d005eabcee5144cfe20a5bc2be266a7ef158275afab60339013d225b6235706f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d005eabcee5144cfe20a5bc2be266a7ef158275afab60339013d225b6235706f","first_computed_at":"2026-07-05T10:13:22.779535Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:13:22.779535Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jQW32f2gr8W7z8mN7kmw0C8yEGbCdK7utb8dQ4xlelvmIVp+3380icetJ+9J9iPaDvEpQFai0Bga1Chyug+cBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:13:22.779957Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.08432","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:376554c55ecaf3b564898b20c0ef8f2495268ec8a3a8df4d992df836edd986c9","sha256:4c43ade34df18739655fca43515ac56cdcbf247c6851764dc5279cbf20dc0039"],"state_sha256":"210d1611fedb22184d739d130614ae676cff9f9e9a16e874451744fca8f976d1"}