{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:FFMAECR7R3MZ7LQTALV6ZHYWSI","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":"3c33d8ac8e5b9c6620e3cad185af973c4b5c8e3d7ed4f1b69c369c52a9418971","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-10-10T08:22:04Z","title_canon_sha256":"632fceb2ec316389d49b090d93e79484698a3c770cd9be4bdb67e0f3b2cf63d7"},"schema_version":"1.0","source":{"id":"2410.19744","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.19744","created_at":"2026-07-05T09:26:32Z"},{"alias_kind":"arxiv_version","alias_value":"2410.19744v1","created_at":"2026-07-05T09:26:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.19744","created_at":"2026-07-05T09:26:32Z"},{"alias_kind":"pith_short_12","alias_value":"FFMAECR7R3MZ","created_at":"2026-07-05T09:26:32Z"},{"alias_kind":"pith_short_16","alias_value":"FFMAECR7R3MZ7LQT","created_at":"2026-07-05T09:26:32Z"},{"alias_kind":"pith_short_8","alias_value":"FFMAECR7","created_at":"2026-07-05T09:26:32Z"}],"graph_snapshots":[{"event_id":"sha256:b1f693bea259b33c3b43aa5969ec60816e50ed665887b93107bb97eefe18c890","target":"graph","created_at":"2026-07-05T09:26:32Z","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/2410.19744/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) have not only revolutionized the field of natural language processing (NLP) but also have the potential to bring a paradigm shift in many other fields due to their remarkable abilities of language understanding, as well as impressive generalization capabilities and reasoning skills. As a result, recent studies have actively attempted to harness the power of LLMs to improve recommender systems, and it is imperative to thoroughly review the recent advances and challenges of LLM-based recommender systems. Unlike existing work, this survey does not merely analyze the c","authors_text":"Chengqi Zhang, Guodong Long, He Kong, Jindong Li, Qianli Xing, Qi Wang, Rui Li, Runliang Niu, Shiqi Wang, Yi Chang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-10-10T08:22:04Z","title":"Towards Next-Generation LLM-based Recommender Systems: A Survey and Beyond"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.19744","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":"sha256:63bed3a626a81269ef4bea38cd141266307ec042d9ed768cbe67b10dfa83750f","target":"record","created_at":"2026-07-05T09:26:32Z","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":"3c33d8ac8e5b9c6620e3cad185af973c4b5c8e3d7ed4f1b69c369c52a9418971","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-10-10T08:22:04Z","title_canon_sha256":"632fceb2ec316389d49b090d93e79484698a3c770cd9be4bdb67e0f3b2cf63d7"},"schema_version":"1.0","source":{"id":"2410.19744","kind":"arxiv","version":1}},"canonical_sha256":"2958020a3f8ed99fae1302ebec9f169208c8d242e0322bb16887aa4dd32cae04","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2958020a3f8ed99fae1302ebec9f169208c8d242e0322bb16887aa4dd32cae04","first_computed_at":"2026-07-05T09:26:32.453835Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:26:32.453835Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Gbvd7WBMBY3ypMr1IQrnsGA7sptvoXuasQaENFc+Ho//EI24RR/IYNIwrXDPjYGbGr6pLbmiKqxvJtrU6VnABA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:26:32.454358Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.19744","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:63bed3a626a81269ef4bea38cd141266307ec042d9ed768cbe67b10dfa83750f","sha256:b1f693bea259b33c3b43aa5969ec60816e50ed665887b93107bb97eefe18c890"],"state_sha256":"63d423857cb5078a87d61a4e42f22b3660df0ccf15e2be6c41ffd3a8a887a90a"}