{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:E25SNW4VNOCCXW6L5KGJAUVY2I","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":"c08fee389bf93753667fbc1ffc61b4e4d730c4938e28608272c5114da0c7fd80","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-03-08T05:23:27Z","title_canon_sha256":"02258d1c63e4bb3b5d20cd1d3732f55aaa4bbb3ad1122df9c23fcb094a4747a2"},"schema_version":"1.0","source":{"id":"2403.05063","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.05063","created_at":"2026-07-05T08:51:49Z"},{"alias_kind":"arxiv_version","alias_value":"2403.05063v2","created_at":"2026-07-05T08:51:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.05063","created_at":"2026-07-05T08:51:49Z"},{"alias_kind":"pith_short_12","alias_value":"E25SNW4VNOCC","created_at":"2026-07-05T08:51:49Z"},{"alias_kind":"pith_short_16","alias_value":"E25SNW4VNOCCXW6L","created_at":"2026-07-05T08:51:49Z"},{"alias_kind":"pith_short_8","alias_value":"E25SNW4V","created_at":"2026-07-05T08:51:49Z"}],"graph_snapshots":[{"event_id":"sha256:44436cc3417193daa32ccac943338f8ae825b403bb9fe8ea4137c45f71f71309","target":"graph","created_at":"2026-07-05T08:51:49Z","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/2403.05063/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Inspired by the exceptional general intelligence of Large Language Models (LLMs), researchers have begun to explore their application in pioneering the next generation of recommender systems - systems that are conversational, explainable, and controllable. However, existing literature primarily concentrates on integrating domain-specific knowledge into LLMs to enhance accuracy, often neglecting the ability to follow instructions. To address this gap, we initially introduce a collection of supervised learning tasks, augmented with labels derived from a conventional recommender model, aimed at e","authors_text":"Guanghua Li, Hao Liao, Jianxun Lian, Mingyang Zhou, Wei Zhang, Wensheng Lu, Xing Xie","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-03-08T05:23:27Z","title":"Aligning Large Language Models for Controllable Recommendations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.05063","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":"sha256:58ea1428abc53e36a33752e844448b67076f17c54172f5ef51f2a591331f2c70","target":"record","created_at":"2026-07-05T08:51:49Z","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":"c08fee389bf93753667fbc1ffc61b4e4d730c4938e28608272c5114da0c7fd80","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-03-08T05:23:27Z","title_canon_sha256":"02258d1c63e4bb3b5d20cd1d3732f55aaa4bbb3ad1122df9c23fcb094a4747a2"},"schema_version":"1.0","source":{"id":"2403.05063","kind":"arxiv","version":2}},"canonical_sha256":"26bb26db956b842bdbcbea8c9052b8d201df511436519f7ee9ec1060f61f5f97","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"26bb26db956b842bdbcbea8c9052b8d201df511436519f7ee9ec1060f61f5f97","first_computed_at":"2026-07-05T08:51:49.087401Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:51:49.087401Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GRTBX4HG8/9C3yMEhL/U7d4hRg9GcVCovZdb5m7xurqp498DgoUL5WrSG4WFJPrJkULJkEuGPnSpUWOQeLjgCw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:51:49.087802Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.05063","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:58ea1428abc53e36a33752e844448b67076f17c54172f5ef51f2a591331f2c70","sha256:44436cc3417193daa32ccac943338f8ae825b403bb9fe8ea4137c45f71f71309"],"state_sha256":"39a4227ef81c674b0f45e2a3cf800fd41528c355d879bdd63409f988bc032c20"}