{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:GY7GX7BI2NWRZDZNFVDK3DUYD4","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":"c61249107c3ed43d3f816e6e77ab64f0a544563849edfecf027ba0bb3dd4e1c5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-11-28T19:53:39Z","title_canon_sha256":"96b158d83c209715e909b0666ed5f8ca60b12f93ea2381967ae47be1bee71dff"},"schema_version":"1.0","source":{"id":"2411.19352","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.19352","created_at":"2026-07-05T09:56:02Z"},{"alias_kind":"arxiv_version","alias_value":"2411.19352v2","created_at":"2026-07-05T09:56:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.19352","created_at":"2026-07-05T09:56:02Z"},{"alias_kind":"pith_short_12","alias_value":"GY7GX7BI2NWR","created_at":"2026-07-05T09:56:02Z"},{"alias_kind":"pith_short_16","alias_value":"GY7GX7BI2NWRZDZN","created_at":"2026-07-05T09:56:02Z"},{"alias_kind":"pith_short_8","alias_value":"GY7GX7BI","created_at":"2026-07-05T09:56:02Z"}],"graph_snapshots":[{"event_id":"sha256:1b669edb8fc4cf0304ac1ca4e11de6cf30707ebd538a0578a2a896ff3e26eb27","target":"graph","created_at":"2026-07-05T09:56:02Z","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/2411.19352/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we present a systematic effort to design, evaluate, and implement a realistic conversational recommender system (CRS). The objective of our system is to allow users to input free-form text to request recommendations, and then receive a list of relevant and diverse items. While previous work on synthetic queries augments large language models (LLMs) with 1-3 tools, we argue that a more extensive toolbox is necessary to effectively handle real user requests. As such, we propose a novel approach that equips LLMs with over 10 tools, providing them access to the internal knowledge ba","authors_text":"Frank Ong, Julian McAuley, Kevin Gao, Michelle Gong, Rachit Pareek, Se-eun Yoon, Xiaokai Wei, Yexi Jiang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-11-28T19:53:39Z","title":"OMuleT: Orchestrating Multiple Tools for Practicable Conversational Recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.19352","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:de6b90b15cdb386ae3e2593ed97a66f22911308016388929fc13445385f57d28","target":"record","created_at":"2026-07-05T09:56:02Z","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":"c61249107c3ed43d3f816e6e77ab64f0a544563849edfecf027ba0bb3dd4e1c5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-11-28T19:53:39Z","title_canon_sha256":"96b158d83c209715e909b0666ed5f8ca60b12f93ea2381967ae47be1bee71dff"},"schema_version":"1.0","source":{"id":"2411.19352","kind":"arxiv","version":2}},"canonical_sha256":"363e6bfc28d36d1c8f2d2d46ad8e981f3350298f65c413f0b2d13c926cc8cffa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"363e6bfc28d36d1c8f2d2d46ad8e981f3350298f65c413f0b2d13c926cc8cffa","first_computed_at":"2026-07-05T09:56:02.832285Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:56:02.832285Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VuWfpfZFSm6E2SbIoCSyWayFZE/DIJOEZCg26iua2o1YHRcDuSZfIONSPqTWG4SFbZltDUVvykzB743jxd6SCA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:56:02.832788Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.19352","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:de6b90b15cdb386ae3e2593ed97a66f22911308016388929fc13445385f57d28","sha256:1b669edb8fc4cf0304ac1ca4e11de6cf30707ebd538a0578a2a896ff3e26eb27"],"state_sha256":"6b523a5e0fa365de4e7ce2a26c220915d2d5e2819424e90353b86a09458bcfaa"}