{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:S5P5FWYPYKAUDETG3CXKY25J5Y","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":"54e0af2c3b5d8023b2a4a7991f76e176c3aeff5d85a646b52c40fa252f641054","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-10-28T12:57:39Z","title_canon_sha256":"e3bfc39ebbf2e64f82797000a5e4ff4b40382d7bbe301370474c00362d0d9354"},"schema_version":"1.0","source":{"id":"2310.18700","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.18700","created_at":"2026-07-05T07:06:39Z"},{"alias_kind":"arxiv_version","alias_value":"2310.18700v1","created_at":"2026-07-05T07:06:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.18700","created_at":"2026-07-05T07:06:39Z"},{"alias_kind":"pith_short_12","alias_value":"S5P5FWYPYKAU","created_at":"2026-07-05T07:06:39Z"},{"alias_kind":"pith_short_16","alias_value":"S5P5FWYPYKAUDETG","created_at":"2026-07-05T07:06:39Z"},{"alias_kind":"pith_short_8","alias_value":"S5P5FWYP","created_at":"2026-07-05T07:06:39Z"}],"graph_snapshots":[{"event_id":"sha256:d2652957e1641ed60cbcd259c39fea37bfb3e934c0c9076c699008fc20210334","target":"graph","created_at":"2026-07-05T07:06:39Z","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/2310.18700/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Contrastive Learning (CL) has achieved impressive performance in self-supervised learning tasks, showing superior generalization ability. Inspired by the success, adopting CL into collaborative filtering (CF) is prevailing in semi-supervised top-K recommendations. The basic idea is to routinely conduct heuristic-based data augmentation and apply contrastive losses (e.g., InfoNCE) on the augmented views. Yet, some CF-tailored challenges make this adoption suboptimal, such as the issue of out-of-distribution, the risk of false negatives, and the nature of top-K evaluation. They necessitate the C","authors_text":"An Zhang, Leheng Sheng, Tat-Seng Chua, Xiang Wang, Zhibo Cai","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-10-28T12:57:39Z","title":"Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.18700","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:cf4c6b550064f7fa74b2e7a31eaa856759da7cca3a2ec7fbc2cc85e7b22f7f7b","target":"record","created_at":"2026-07-05T07:06:39Z","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":"54e0af2c3b5d8023b2a4a7991f76e176c3aeff5d85a646b52c40fa252f641054","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-10-28T12:57:39Z","title_canon_sha256":"e3bfc39ebbf2e64f82797000a5e4ff4b40382d7bbe301370474c00362d0d9354"},"schema_version":"1.0","source":{"id":"2310.18700","kind":"arxiv","version":1}},"canonical_sha256":"975fd2db0fc281419266d8aeac6ba9ee35ebcaf867d519dcb3d71183294cda25","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"975fd2db0fc281419266d8aeac6ba9ee35ebcaf867d519dcb3d71183294cda25","first_computed_at":"2026-07-05T07:06:39.818414Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:06:39.818414Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Rn01fQzw0//Uxh1CRy8wTHxqW2P7HO4FAQnw2YcUEx+AM3m/N845SOMVLcHDNr/fAcQQr1sN1m+Elc+IO92JCg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:06:39.818901Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.18700","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cf4c6b550064f7fa74b2e7a31eaa856759da7cca3a2ec7fbc2cc85e7b22f7f7b","sha256:d2652957e1641ed60cbcd259c39fea37bfb3e934c0c9076c699008fc20210334"],"state_sha256":"b5900dc3ec9c590ccf12016f47d0feb340a830f102b21c95f680fa027f72aa4a"}