{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:KC52OEUXE6BRI22E3Y57APPVVY","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":"92c16901234bc1aa2865755e5f74f4922b1441898fe2921f7598caa3da7f8abe","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-05-05T01:44:35Z","title_canon_sha256":"02667aabbdf5682bdabf54d743b360bd6b40709c18ec0b022e51541a54fe0a90"},"schema_version":"1.0","source":{"id":"2305.04774","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.04774","created_at":"2026-07-05T06:07:53Z"},{"alias_kind":"arxiv_version","alias_value":"2305.04774v1","created_at":"2026-07-05T06:07:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.04774","created_at":"2026-07-05T06:07:53Z"},{"alias_kind":"pith_short_12","alias_value":"KC52OEUXE6BR","created_at":"2026-07-05T06:07:53Z"},{"alias_kind":"pith_short_16","alias_value":"KC52OEUXE6BRI22E","created_at":"2026-07-05T06:07:53Z"},{"alias_kind":"pith_short_8","alias_value":"KC52OEUX","created_at":"2026-07-05T06:07:53Z"}],"graph_snapshots":[{"event_id":"sha256:447b7996e522aa4e4f0baef77a4bea83f027f2aa26c717e8193d248ab8c968bb","target":"graph","created_at":"2026-07-05T06:07:53Z","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/2305.04774/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Conversational recommender systems (CRSs) aim to understand the information needs and preferences expressed in a dialogue to recommend suitable items to the user. Most of the existing conversational recommendation datasets are synthesized or simulated with crowdsourcing, which has a large gap with real-world scenarios. To bridge the gap, previous work contributes a dataset E-ConvRec, based on pre-sales dialogues between users and customer service staff in E-commerce scenarios. However, E-ConvRec only supplies coarse-grained annotations and general tasks for making recommendations in pre-sales ","authors_text":"Baohua Dong, Fan Feng, Hang Wang, Hengbin Cui, Wanxiang Che, Weinan Zhang, Yan Fan, Yifan Chen, Yongbin Li, Yuanxing Liu, Ziyu Zhuang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-05-05T01:44:35Z","title":"U-NEED: A Fine-grained Dataset for User Needs-Centric E-commerce Conversational Recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.04774","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:f7f1ebd50de9cfc6d56e0968e0802df672ac486f816d8cfcf93814c2774211a1","target":"record","created_at":"2026-07-05T06:07:53Z","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":"92c16901234bc1aa2865755e5f74f4922b1441898fe2921f7598caa3da7f8abe","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-05-05T01:44:35Z","title_canon_sha256":"02667aabbdf5682bdabf54d743b360bd6b40709c18ec0b022e51541a54fe0a90"},"schema_version":"1.0","source":{"id":"2305.04774","kind":"arxiv","version":1}},"canonical_sha256":"50bba712972783146b44de3bf03df5ae20a8f303dd555a83d9749e32ed9bd7c9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"50bba712972783146b44de3bf03df5ae20a8f303dd555a83d9749e32ed9bd7c9","first_computed_at":"2026-07-05T06:07:53.793968Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:07:53.793968Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rAjtjL4Oaq4fGyWFTofDaMaK0U9E30zOUZqcdeC3wLYcorPQJX1Qwg0twzvR1aFO7rUlB5HRTllxv3FiGyYiBg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:07:53.794438Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.04774","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f7f1ebd50de9cfc6d56e0968e0802df672ac486f816d8cfcf93814c2774211a1","sha256:447b7996e522aa4e4f0baef77a4bea83f027f2aa26c717e8193d248ab8c968bb"],"state_sha256":"c85ae804daefc2534432378fca24f67876a25c14c2e5d53bab5bfb3e0ce2abb6"}