{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:L7CYTUFOKJ56ZDERPSO3PXOKOX","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":"462c7bc3d1c182f7a2f92c6e41375487d49b089cd9440357e296e6c3c8b15a33","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-11-15T17:06:26Z","title_canon_sha256":"7c02c07d3985ec84e457fa5b71d2efa27e745076d6908ba3f6de7cf44427a859"},"schema_version":"1.0","source":{"id":"2311.09115","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.09115","created_at":"2026-07-05T09:26:56Z"},{"alias_kind":"arxiv_version","alias_value":"2311.09115v3","created_at":"2026-07-05T09:26:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.09115","created_at":"2026-07-05T09:26:56Z"},{"alias_kind":"pith_short_12","alias_value":"L7CYTUFOKJ56","created_at":"2026-07-05T09:26:56Z"},{"alias_kind":"pith_short_16","alias_value":"L7CYTUFOKJ56ZDER","created_at":"2026-07-05T09:26:56Z"},{"alias_kind":"pith_short_8","alias_value":"L7CYTUFO","created_at":"2026-07-05T09:26:56Z"}],"graph_snapshots":[{"event_id":"sha256:9639a10ec84862e638aa75d3e9c40994e8f1196f9b84651380e5006c05e5051a","target":"graph","created_at":"2026-07-05T09:26:56Z","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/2311.09115/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Technological advances in medical data collection, such as high-throughput genomic sequencing and digital high-resolution histopathology, have contributed to the rising requirement for multimodal biomedical modelling, specifically for image, tabular and graph data. Most multimodal deep learning approaches use modality-specific architectures that are often trained separately and cannot capture the crucial cross-modal information that motivates the integration of different data sources. This paper presents the Hybrid Early-fusion Attention Learning Network (HEALNet): a flexible multimodal fusion","authors_text":"Konstantin Hemker, Mateja Jamnik, Nikola Simidjievski","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-11-15T17:06:26Z","title":"HEALNet: Multimodal Fusion for Heterogeneous Biomedical Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.09115","kind":"arxiv","version":3},"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":"sha256:39498fcf7f074b6654cd4436482f5a8618f53ff90a14129ee06c1b802133122e","target":"record","created_at":"2026-07-05T09:26:56Z","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":"462c7bc3d1c182f7a2f92c6e41375487d49b089cd9440357e296e6c3c8b15a33","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-11-15T17:06:26Z","title_canon_sha256":"7c02c07d3985ec84e457fa5b71d2efa27e745076d6908ba3f6de7cf44427a859"},"schema_version":"1.0","source":{"id":"2311.09115","kind":"arxiv","version":3}},"canonical_sha256":"5fc589d0ae527bec8c917c9db7ddca75e96249638d6f68b9624a1fb2e9aa161e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5fc589d0ae527bec8c917c9db7ddca75e96249638d6f68b9624a1fb2e9aa161e","first_computed_at":"2026-07-05T09:26:56.990121Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:26:56.990121Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Y8Ht0OFQzT1qq2sYgfRK1sEYa3QJhPom66fSddcGOPA3AnZEu8yT1r28fRNueZaFuwCE9LGeMNA5/EfvUCxbDA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:26:56.990652Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.09115","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:39498fcf7f074b6654cd4436482f5a8618f53ff90a14129ee06c1b802133122e","sha256:9639a10ec84862e638aa75d3e9c40994e8f1196f9b84651380e5006c05e5051a"],"state_sha256":"a25168b590ab3f8213138aa83f215f81f7660ac9e983df817b8f25ca2b256263"}