{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:7NTOGXBNT7J4IS5RCNU3U4IREU","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":"755bd1aa2fb7db3c7ab9d6b702e4e4e135d3a4dab68a92cb8e02cba154231b41","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-02-18T22:29:04Z","title_canon_sha256":"859448463db6340bf9a7bfc7f0a48b14455e936b4520d6ba28f5ed9ebf0c3559"},"schema_version":"1.0","source":{"id":"2402.11724","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.11724","created_at":"2026-07-05T07:46:43Z"},{"alias_kind":"arxiv_version","alias_value":"2402.11724v1","created_at":"2026-07-05T07:46:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.11724","created_at":"2026-07-05T07:46:43Z"},{"alias_kind":"pith_short_12","alias_value":"7NTOGXBNT7J4","created_at":"2026-07-05T07:46:43Z"},{"alias_kind":"pith_short_16","alias_value":"7NTOGXBNT7J4IS5R","created_at":"2026-07-05T07:46:43Z"},{"alias_kind":"pith_short_8","alias_value":"7NTOGXBN","created_at":"2026-07-05T07:46:43Z"}],"graph_snapshots":[{"event_id":"sha256:2982215cc044ce6d416eaa5ddc971a91da1b463dcd3441653e0e98c0aaa59202","target":"graph","created_at":"2026-07-05T07:46:43Z","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/2402.11724/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The reasoning and generalization capabilities of LLMs can help us better understand user preferences and item characteristics, offering exciting prospects to enhance recommendation systems. Though effective while user-item interactions are abundant, conventional recommendation systems struggle to recommend cold-start items without historical interactions. To address this, we propose utilizing LLMs as data augmenters to bridge the knowledge gap on cold-start items during training. We employ LLMs to infer user preferences for cold-start items based on textual description of user historical behav","authors_text":"Ed Chi, Haokai Lu, James Caverlee, Jianling Wang, Minmin Chen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-02-18T22:29:04Z","title":"Large Language Models as Data Augmenters for Cold-Start Item Recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.11724","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:b551d9561d584aec31b90a1a84b317b96ed2882f18806a85fa394d42fc57c45d","target":"record","created_at":"2026-07-05T07:46:43Z","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":"755bd1aa2fb7db3c7ab9d6b702e4e4e135d3a4dab68a92cb8e02cba154231b41","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-02-18T22:29:04Z","title_canon_sha256":"859448463db6340bf9a7bfc7f0a48b14455e936b4520d6ba28f5ed9ebf0c3559"},"schema_version":"1.0","source":{"id":"2402.11724","kind":"arxiv","version":1}},"canonical_sha256":"fb66e35c2d9fd3c44bb11369ba711125178ce2f35d823ff49f03bd31f44cb476","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fb66e35c2d9fd3c44bb11369ba711125178ce2f35d823ff49f03bd31f44cb476","first_computed_at":"2026-07-05T07:46:43.631910Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:46:43.631910Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jG1klRPU9/clf10TM8AjqEuDCHqPvatw6DsRRzfK5RFZiZ7fX4y0LX2wL2cGwaazDD+vhzj8He5gJyqrVcMYBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:46:43.632405Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.11724","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b551d9561d584aec31b90a1a84b317b96ed2882f18806a85fa394d42fc57c45d","sha256:2982215cc044ce6d416eaa5ddc971a91da1b463dcd3441653e0e98c0aaa59202"],"state_sha256":"bb6d0a84ad1f4d52afea64f4028c0f8098fa30a51edf453c8eb5329731cf843b"}