{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:YR4DNPP3HFKTCDQH3DS2KDOZDV","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":"5e8503524eb8e1ea9ea3db2614290683234cc2306eb31a3bf0bf6dfc7f57c38b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-12-16T13:05:13Z","title_canon_sha256":"f8f2d090754af3760aeb17130232ea35965923a105af6930671c0844a90bf731"},"schema_version":"1.0","source":{"id":"2412.11747","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.11747","created_at":"2026-07-05T09:49:51Z"},{"alias_kind":"arxiv_version","alias_value":"2412.11747v1","created_at":"2026-07-05T09:49:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.11747","created_at":"2026-07-05T09:49:51Z"},{"alias_kind":"pith_short_12","alias_value":"YR4DNPP3HFKT","created_at":"2026-07-05T09:49:51Z"},{"alias_kind":"pith_short_16","alias_value":"YR4DNPP3HFKTCDQH","created_at":"2026-07-05T09:49:51Z"},{"alias_kind":"pith_short_8","alias_value":"YR4DNPP3","created_at":"2026-07-05T09:49:51Z"}],"graph_snapshots":[{"event_id":"sha256:c690b66d66524795fbf1f01c425147498fcea040b04e28c5665b2d7c54f1b35c","target":"graph","created_at":"2026-07-05T09:49:51Z","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/2412.11747/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Given the large volume of side information from different modalities, multimodal recommender systems have become increasingly vital, as they exploit richer semantic information beyond user-item interactions. Recent works highlight that leveraging Graph Convolutional Networks (GCNs) to explicitly model multimodal item-item relations can significantly enhance recommendation performance. However, due to the inherent over-smoothing issue of GCNs, existing models benefit only from shallow GCNs with limited representation power. This drawback is especially pronounced when facing complex and high-dim","authors_text":"Jiarui Qin, Junjie Huang, Weinan Zhang, Yong Yu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-12-16T13:05:13Z","title":"Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.11747","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":"sha256:6aa06b84f444fc94ccfbd86fd59f02ae3634dfe8fa2df3bd1df12ba4c129649c","target":"record","created_at":"2026-07-05T09:49:51Z","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":"5e8503524eb8e1ea9ea3db2614290683234cc2306eb31a3bf0bf6dfc7f57c38b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-12-16T13:05:13Z","title_canon_sha256":"f8f2d090754af3760aeb17130232ea35965923a105af6930671c0844a90bf731"},"schema_version":"1.0","source":{"id":"2412.11747","kind":"arxiv","version":1}},"canonical_sha256":"c47836bdfb3955310e07d8e5a50dd91d718ef63353a11a843d5773473b0b5abf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c47836bdfb3955310e07d8e5a50dd91d718ef63353a11a843d5773473b0b5abf","first_computed_at":"2026-07-05T09:49:51.054626Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:49:51.054626Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JxQxVE1BEONUK15uApfj6v/kuKnmNiJnHDNAx5E1joUwyaIj7kt3i6TN/UHTzc3yh9ecq3aMuW3we//TLJ4LDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:49:51.055067Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.11747","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6aa06b84f444fc94ccfbd86fd59f02ae3634dfe8fa2df3bd1df12ba4c129649c","sha256:c690b66d66524795fbf1f01c425147498fcea040b04e28c5665b2d7c54f1b35c"],"state_sha256":"484bd529b313c2b394a4d76357ea83862efc65f262f6f3c479eb32e4692d92e1"}