{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:NWBCPBICL7CO3EISUWGQ5IVDJY","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":"82e32318c6827134fcb2f3d9689b278b71014fe7c4f9d420555b7dba5610eb80","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-05-01T02:27:59Z","title_canon_sha256":"5f658285ed4dd85a96b2f29d66f3c15202a72f752cd20889a2d3059f6e88f62e"},"schema_version":"1.0","source":{"id":"2405.00287","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.00287","created_at":"2026-07-05T09:51:32Z"},{"alias_kind":"arxiv_version","alias_value":"2405.00287v2","created_at":"2026-07-05T09:51:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.00287","created_at":"2026-07-05T09:51:32Z"},{"alias_kind":"pith_short_12","alias_value":"NWBCPBICL7CO","created_at":"2026-07-05T09:51:32Z"},{"alias_kind":"pith_short_16","alias_value":"NWBCPBICL7CO3EIS","created_at":"2026-07-05T09:51:32Z"},{"alias_kind":"pith_short_8","alias_value":"NWBCPBIC","created_at":"2026-07-05T09:51:32Z"}],"graph_snapshots":[{"event_id":"sha256:716ea76dfcac26f6a9d1a9ad47722b1a2cbf97d7b2dc6e683b4595630e2ff845","target":"graph","created_at":"2026-07-05T09:51:32Z","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/2405.00287/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Graph-based collaborative filtering (CF) has emerged as a promising approach in recommender systems. Despite its achievements, graph-based CF models face challenges due to data sparsity and negative sampling. In this paper, we propose a novel Stochastic sampling for i) COntrastive views and ii) hard NEgative samples (SCONE) to overcome these issues. SCONE generates dynamic augmented views and diverse hard negative samples via a unified stochastic sampling approach based on score-based generative models. Our extensive experiments on 6 benchmark datasets show that SCONE consistently outperforms ","authors_text":"Chaejeong Lee, Hyowon Wi, Jeongwhan Choi, Noseong Park, Sung-Bae Cho","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-05-01T02:27:59Z","title":"SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.00287","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":"sha256:40464240e4c1389429b15ebbaa9bb0e154566ada63c69dfab28cc322cbd45858","target":"record","created_at":"2026-07-05T09:51:32Z","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":"82e32318c6827134fcb2f3d9689b278b71014fe7c4f9d420555b7dba5610eb80","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-05-01T02:27:59Z","title_canon_sha256":"5f658285ed4dd85a96b2f29d66f3c15202a72f752cd20889a2d3059f6e88f62e"},"schema_version":"1.0","source":{"id":"2405.00287","kind":"arxiv","version":2}},"canonical_sha256":"6d822785025fc4ed9112a58d0ea2a34e1cf70f6270861282b70110b464221b03","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6d822785025fc4ed9112a58d0ea2a34e1cf70f6270861282b70110b464221b03","first_computed_at":"2026-07-05T09:51:32.407979Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:51:32.407979Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Dwvm05ULZNV/PQq84e2sQQg63NOKK19ANTQ1t+CThgcPgORFdZh3ZnaCvu/I6TJ5TLkll5IyBqtf2NxmtgKEDA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:51:32.408462Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.00287","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:40464240e4c1389429b15ebbaa9bb0e154566ada63c69dfab28cc322cbd45858","sha256:716ea76dfcac26f6a9d1a9ad47722b1a2cbf97d7b2dc6e683b4595630e2ff845"],"state_sha256":"e55c915376ae3febdcc3be80c9a048484312823713baa58cbf2b74d969b40eb9"}