{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:Y23OP2ZONDIZM6VLNUJQBETLLC","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":"57a7cb96ffc4575c4b6fff01b8f28f0a6c3582386c3df00298a5b974b23dae01","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-12-04T07:50:27Z","title_canon_sha256":"d5e8514fcb15a374526919aa57a03c5b95b6cdcd388c0afaa1577b4039d69c59"},"schema_version":"1.0","source":{"id":"2412.03097","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.03097","created_at":"2026-07-05T09:44:24Z"},{"alias_kind":"arxiv_version","alias_value":"2412.03097v1","created_at":"2026-07-05T09:44:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.03097","created_at":"2026-07-05T09:44:24Z"},{"alias_kind":"pith_short_12","alias_value":"Y23OP2ZONDIZ","created_at":"2026-07-05T09:44:24Z"},{"alias_kind":"pith_short_16","alias_value":"Y23OP2ZONDIZM6VL","created_at":"2026-07-05T09:44:24Z"},{"alias_kind":"pith_short_8","alias_value":"Y23OP2ZO","created_at":"2026-07-05T09:44:24Z"}],"graph_snapshots":[{"event_id":"sha256:7d10fd941b950be714c1b1f0ec06b272851d25c889889e48a9465b2a332b02b1","target":"graph","created_at":"2026-07-05T09:44:24Z","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/2412.03097/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper addresses key challenges in enhancing recommendation systems by leveraging Graph Neural Networks (GNNs) and addressing inherent limitations such as over-smoothing, which reduces model effectiveness as network hierarchy deepens. The proposed approach introduces three GNN-based recommendation models, specifically designed to mitigate over-smoothing through innovative mechanisms like residual connections and identity mapping within the aggregation propagation process. These modifications enable more effective information flow across layers, preserving essential user-item interaction de","authors_text":"Jiacheng Hu, Junliang Du, Wenyi Liu, Xinshi Li, Yuanshuai Luo, Ziqi Zhang","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-12-04T07:50:27Z","title":"Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.03097","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":"sha256:883b86908e3ffe4468b5be4da94eae23f9d3e81ef5fcbddba6da0af547ff8144","target":"record","created_at":"2026-07-05T09:44:24Z","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":"57a7cb96ffc4575c4b6fff01b8f28f0a6c3582386c3df00298a5b974b23dae01","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-12-04T07:50:27Z","title_canon_sha256":"d5e8514fcb15a374526919aa57a03c5b95b6cdcd388c0afaa1577b4039d69c59"},"schema_version":"1.0","source":{"id":"2412.03097","kind":"arxiv","version":1}},"canonical_sha256":"c6b6e7eb2e68d1967aab6d1300926b58be7665d2d6e30eee446ee8a3912b4eb5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c6b6e7eb2e68d1967aab6d1300926b58be7665d2d6e30eee446ee8a3912b4eb5","first_computed_at":"2026-07-05T09:44:24.909958Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:44:24.909958Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UYYOowcqDWbwJ0TwksTv4ENnbdzilS3tWvAjNpE5D5spZbHboXlj5XKnKWjAXox6qvOvxWuUK7rrAUTu/qmeAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:44:24.910406Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.03097","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:883b86908e3ffe4468b5be4da94eae23f9d3e81ef5fcbddba6da0af547ff8144","sha256:7d10fd941b950be714c1b1f0ec06b272851d25c889889e48a9465b2a332b02b1"],"state_sha256":"82fcf4659d4254777e0f542a844dc41e1f4fa37e683a545a4e100cb8ee36fa37"}