{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:EPT77WPCIZDX5HOQT6SJV4RKVH","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":"104fd5d2af44879335fc04b142c3ca0e628a2b465028b1e1d38291d33bc5ab34","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2022-03-29T17:48:05Z","title_canon_sha256":"2a80e3d9cbdc94c784874f8cd14dfeeb7cd1e5142b0a3a3d962572037d5805e7"},"schema_version":"1.0","source":{"id":"2203.15789","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.15789","created_at":"2026-07-05T04:09:53Z"},{"alias_kind":"arxiv_version","alias_value":"2203.15789v1","created_at":"2026-07-05T04:09:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.15789","created_at":"2026-07-05T04:09:53Z"},{"alias_kind":"pith_short_12","alias_value":"EPT77WPCIZDX","created_at":"2026-07-05T04:09:53Z"},{"alias_kind":"pith_short_16","alias_value":"EPT77WPCIZDX5HOQ","created_at":"2026-07-05T04:09:53Z"},{"alias_kind":"pith_short_8","alias_value":"EPT77WPC","created_at":"2026-07-05T04:09:53Z"}],"graph_snapshots":[{"event_id":"sha256:bf0d59d76254b2ae407e8e376d40bf181b844d8b6cb9184651583cb98b0fe66f","target":"graph","created_at":"2026-07-05T04:09:53Z","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/2203.15789/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Collaborative filtering (CF) is one of the most successful and fundamental techniques in recommendation systems. In recent years, Graph Neural Network (GNN)-based CF models, such as NGCF [31], LightGCN [10] and GTN [9] have achieved tremendous success and significantly advanced the state-of-the-art. While there is a rich literature of such works using advanced models for learning user and item representations separately, item recommendation is essentially a link prediction problem between users and items. Furthermore, while there have been early works employing link prediction for collaborativ","authors_text":"Chen Wang, Hao-Ming Fu, Kwot Sin Lee, Patrick Poirson","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2022-03-29T17:48:05Z","title":"Revisiting Neighborhood-based Link Prediction for Collaborative Filtering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.15789","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":"sha256:71049de923ca1d285b9d372cd7ab3e24a70cba3518757893fcf230ac97677b2a","target":"record","created_at":"2026-07-05T04:09:53Z","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":"104fd5d2af44879335fc04b142c3ca0e628a2b465028b1e1d38291d33bc5ab34","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2022-03-29T17:48:05Z","title_canon_sha256":"2a80e3d9cbdc94c784874f8cd14dfeeb7cd1e5142b0a3a3d962572037d5805e7"},"schema_version":"1.0","source":{"id":"2203.15789","kind":"arxiv","version":1}},"canonical_sha256":"23e7ffd9e246477e9dd09fa49af22aa9d7fb12d78b51e2cb884a1d69967b3a7d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"23e7ffd9e246477e9dd09fa49af22aa9d7fb12d78b51e2cb884a1d69967b3a7d","first_computed_at":"2026-07-05T04:09:53.131690Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:09:53.131690Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lP4FzOvku0pVjjJoykAv3QNqrA1KQG7NQqqVusdnpLzEcjiWZyZRSRtia6WvJevqVvabtjLW2BS6kHWTw7RADw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:09:53.132124Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.15789","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:71049de923ca1d285b9d372cd7ab3e24a70cba3518757893fcf230ac97677b2a","sha256:bf0d59d76254b2ae407e8e376d40bf181b844d8b6cb9184651583cb98b0fe66f"],"state_sha256":"b122ae3824aaebb0be778bc2baed47149fbdf154d95a344cf41527f21cf632c3"}