{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:TOOQNYQEC426YFQHIQEIFYMQWH","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":"be647d9c751993fbf07868047099ba1d5db578f196d5dfa123549379fa22099a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-17T06:57:41Z","title_canon_sha256":"6a273b76d7ea494deaae45552965acd896ef7f7360f0ea856f0e7ca718531cb9"},"schema_version":"1.0","source":{"id":"2607.15687","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.15687","created_at":"2026-07-20T01:19:04Z"},{"alias_kind":"arxiv_version","alias_value":"2607.15687v1","created_at":"2026-07-20T01:19:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.15687","created_at":"2026-07-20T01:19:04Z"},{"alias_kind":"pith_short_12","alias_value":"TOOQNYQEC426","created_at":"2026-07-20T01:19:04Z"},{"alias_kind":"pith_short_16","alias_value":"TOOQNYQEC426YFQH","created_at":"2026-07-20T01:19:04Z"},{"alias_kind":"pith_short_8","alias_value":"TOOQNYQE","created_at":"2026-07-20T01:19:04Z"}],"graph_snapshots":[{"event_id":"sha256:9bd12ce77a340a7410b0e974abe8e7c52e40cdca55102540cc14acff3ddbd556","target":"graph","created_at":"2026-07-20T01:19:04Z","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/2607.15687/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multimodal-attributed graphs (MAGs), whose nodes carry modalities such as images and text alongside topological structure, now pervade applications including social platforms, e-commerce, and biomedical networks, offering richer semantic signals than single-modality graphs. In practice, such graphs are fragmented across privacy-restricted silos owned by different platforms and institutions, so learning a broadly transferable model over them demands collaborative training that never exposes raw data. This places the task at the intersection of multimodal graph learning and federated learning, y","authors_text":"Guohao Fu, Guoren Wang, Hongchao Qin, Rong-Hua Li, Xunkai Li, Yuming Ai, Zhengyu Wu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-17T06:57:41Z","title":"Toward Federated Multimodal Graph Foundation Models: A Topology-Aware Multimodal Alignment Framework"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.15687","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:be37a1d75d0d45b793598b8c8c96e6411668944261ee5da090d5896a56e90cf0","target":"record","created_at":"2026-07-20T01:19:04Z","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":"be647d9c751993fbf07868047099ba1d5db578f196d5dfa123549379fa22099a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-17T06:57:41Z","title_canon_sha256":"6a273b76d7ea494deaae45552965acd896ef7f7360f0ea856f0e7ca718531cb9"},"schema_version":"1.0","source":{"id":"2607.15687","kind":"arxiv","version":1}},"canonical_sha256":"9b9d06e2041735ec1607440882e190b1cc5aa9699425bed40e5221413b7ed20f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9b9d06e2041735ec1607440882e190b1cc5aa9699425bed40e5221413b7ed20f","first_computed_at":"2026-07-20T01:19:04.264322Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-20T01:19:04.264322Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Zjj0zKYAui3sKVs9TxPrmkvnRbZ+KuseWmR1z4qQWz0IYTxzmEjdoq0Jw8jzNJo1qCW1PGWBPiqmNknyuBmDAw==","signature_status":"signed_v1","signed_at":"2026-07-20T01:19:04.265217Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.15687","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:be37a1d75d0d45b793598b8c8c96e6411668944261ee5da090d5896a56e90cf0","sha256:9bd12ce77a340a7410b0e974abe8e7c52e40cdca55102540cc14acff3ddbd556"],"state_sha256":"72562d428aab123660e49ce12119ba1180bd0508ced7a3c9091dd520c22b2465"}