{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:O3XA6LVU36ASE55I4GEMYA3YUJ","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":"28647c6780334c0900b85affa10524d64d288ee4d2bd0963f64fb6fd2e2a8849","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-06-24T18:10:08Z","title_canon_sha256":"e1503e4a80f3c9b754fc6c96677ebdf1e395340994777fa61546f6293d75955f"},"schema_version":"1.0","source":{"id":"2106.13264","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.13264","created_at":"2026-07-05T04:08:57Z"},{"alias_kind":"arxiv_version","alias_value":"2106.13264v4","created_at":"2026-07-05T04:08:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.13264","created_at":"2026-07-05T04:08:57Z"},{"alias_kind":"pith_short_12","alias_value":"O3XA6LVU36AS","created_at":"2026-07-05T04:08:57Z"},{"alias_kind":"pith_short_16","alias_value":"O3XA6LVU36ASE55I","created_at":"2026-07-05T04:08:57Z"},{"alias_kind":"pith_short_8","alias_value":"O3XA6LVU","created_at":"2026-07-05T04:08:57Z"}],"graph_snapshots":[{"event_id":"sha256:8a499e57ee4061a49db3c6c43a5a306fa15041c00d6630a52dd008e0ae699f73","target":"graph","created_at":"2026-07-05T04:08:57Z","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/2106.13264/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Hypergraphs are used to model higher-order interactions amongst agents and there exist many practically relevant instances of hypergraph datasets. To enable efficient processing of hypergraph-structured data, several hypergraph neural network platforms have been proposed for learning hypergraph properties and structure, with a special focus on node classification. However, almost all existing methods use heuristic propagation rules and offer suboptimal performance on many datasets. We propose AllSet, a new hypergraph neural network paradigm that represents a highly general framework for (hyper","authors_text":"Chao Pan, Eli Chien, Jianhao Peng, Olgica Milenkovic","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-06-24T18:10:08Z","title":"You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.13264","kind":"arxiv","version":4},"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":"sha256:4e839c5bcb1bfbee3148859de54cbf9b69231bf183902d133868264100ddfcd2","target":"record","created_at":"2026-07-05T04:08:57Z","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":"28647c6780334c0900b85affa10524d64d288ee4d2bd0963f64fb6fd2e2a8849","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-06-24T18:10:08Z","title_canon_sha256":"e1503e4a80f3c9b754fc6c96677ebdf1e395340994777fa61546f6293d75955f"},"schema_version":"1.0","source":{"id":"2106.13264","kind":"arxiv","version":4}},"canonical_sha256":"76ee0f2eb4df812277a8e188cc0378a24bdc4f6e1d1157d0ab10c2d8433f7988","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"76ee0f2eb4df812277a8e188cc0378a24bdc4f6e1d1157d0ab10c2d8433f7988","first_computed_at":"2026-07-05T04:08:57.630276Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:08:57.630276Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hvOop8hePzWVGgUwEYYZ8VvMYGbaSI6UomHCw3pLBIkdrOxnfN+eN7ACHVA5ZqxIO7lSstRd9YIZdTKdoMm+BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:08:57.630758Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.13264","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4e839c5bcb1bfbee3148859de54cbf9b69231bf183902d133868264100ddfcd2","sha256:8a499e57ee4061a49db3c6c43a5a306fa15041c00d6630a52dd008e0ae699f73"],"state_sha256":"42bf06efb9e984fcb58cf7579a81d75e27fa4bd0d98a2727938af691c35bb49b"}