{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:5OJ3KQQL7AZT2KOSVDHO5YQXAG","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":"b62f99f9ddd515b94361689765c32bdcec90784cc1af360d1d4b7fbd835c1d36","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-07-04T09:38:19Z","title_canon_sha256":"c2bc5bca2ffc2599652c7eaae97e4ec6c5d745796856346e25decf594962f0d1"},"schema_version":"1.0","source":{"id":"2507.03430","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.03430","created_at":"2026-07-05T11:58:32Z"},{"alias_kind":"arxiv_version","alias_value":"2507.03430v2","created_at":"2026-07-05T11:58:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.03430","created_at":"2026-07-05T11:58:32Z"},{"alias_kind":"pith_short_12","alias_value":"5OJ3KQQL7AZT","created_at":"2026-07-05T11:58:32Z"},{"alias_kind":"pith_short_16","alias_value":"5OJ3KQQL7AZT2KOS","created_at":"2026-07-05T11:58:32Z"},{"alias_kind":"pith_short_8","alias_value":"5OJ3KQQL","created_at":"2026-07-05T11:58:32Z"}],"graph_snapshots":[{"event_id":"sha256:deec17c3f6ddb62677a8d6a0eef4df484daf941c4e1f5f3dc9bffd7aeb9a0171","target":"graph","created_at":"2026-07-05T11:58:32Z","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/2507.03430/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate prediction of molecular properties is essential in drug discovery and related fields. However, existing graph neural networks (GNNs) often struggle to simultaneously capture both local and global molecular structures. In this work, we propose a Multi-Level Fusion Graph Neural Network (MLFGNN) that integrates Graph Attention Networks and a novel Graph Transformer to jointly model local and global dependencies. In addition, we incorporate molecular fingerprints as a complementary modality and introduce a mechanism of interaction between attention to adaptively fuse information across re","authors_text":"Chao Fan, Hou-Biao Li, Xiayu Liu, Yang Liu","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-07-04T09:38:19Z","title":"Multi-Level Fusion Graph Neural Network for Molecule Property Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.03430","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":"sha256:5301acf30d1bc8fdad0020cd0dc302bb5085fcc65d0be90b503cd426b61ee13f","target":"record","created_at":"2026-07-05T11:58:32Z","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":"b62f99f9ddd515b94361689765c32bdcec90784cc1af360d1d4b7fbd835c1d36","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-07-04T09:38:19Z","title_canon_sha256":"c2bc5bca2ffc2599652c7eaae97e4ec6c5d745796856346e25decf594962f0d1"},"schema_version":"1.0","source":{"id":"2507.03430","kind":"arxiv","version":2}},"canonical_sha256":"eb93b5420bf8333d29d2a8ceeee21701aebeb0e04e2933898824a6da0cf4f71d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eb93b5420bf8333d29d2a8ceeee21701aebeb0e04e2933898824a6da0cf4f71d","first_computed_at":"2026-07-05T11:58:32.565936Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:58:32.565936Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"a14+Z4oK7NzhDKglfVIJsAn066OaOzhb7kIQ+dcb8bvYU0swZBMlP2XELwBxzrDvKF7YZVaRpOmJPw7Ip2mnAA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:58:32.566450Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.03430","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5301acf30d1bc8fdad0020cd0dc302bb5085fcc65d0be90b503cd426b61ee13f","sha256:deec17c3f6ddb62677a8d6a0eef4df484daf941c4e1f5f3dc9bffd7aeb9a0171"],"state_sha256":"ca43d88744beaf37669d85532ec27a0f71df5f03a1c5fc0a0fca92de0f0bc0fb"}