{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:FOWT747YBDQ7USTXSLUSOMF4JX","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":"20ad01ab565c4a2065607fa431a80c7b9a4bc3f4d5a13172f418c3bbfcc55a29","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2022-10-09T05:18:42Z","title_canon_sha256":"aea35015abcf9df513d2279b8de3621667a8cfeb18231b789df826df91ddf8df"},"schema_version":"1.0","source":{"id":"2210.04170","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.04170","created_at":"2026-07-05T05:04:37Z"},{"alias_kind":"arxiv_version","alias_value":"2210.04170v1","created_at":"2026-07-05T05:04:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.04170","created_at":"2026-07-05T05:04:37Z"},{"alias_kind":"pith_short_12","alias_value":"FOWT747YBDQ7","created_at":"2026-07-05T05:04:37Z"},{"alias_kind":"pith_short_16","alias_value":"FOWT747YBDQ7USTX","created_at":"2026-07-05T05:04:37Z"},{"alias_kind":"pith_short_8","alias_value":"FOWT747Y","created_at":"2026-07-05T05:04:37Z"}],"graph_snapshots":[{"event_id":"sha256:b1f89840f8b41f82f1c39df318c32a0320900135953a3c181ec44745ec443f5b","target":"graph","created_at":"2026-07-05T05:04:37Z","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/2210.04170/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In large-scale e-commerce platforms like Taobao, it is a big challenge to retrieve products that satisfy users from billions of candidates. This has been a common concern of academia and industry. Recently, plenty of works in this domain have achieved significant improvements by enhancing embedding-based retrieval (EBR) methods, including the Multi-Grained Deep Semantic Product Retrieval (MGDSPR) model [16] in Taobao search engine. However, we find that MGDSPR still has problems of poor relevance and weak personalization compared to other retrieval methods in our online system, such as lexical","authors_text":"Chao Zhang, Guanghao Meng, Honggang Wang, Jiang Bian, Qingwen Liu, Sen Li, Tao Zhuang, Xiaoyi Zeng, Yukun Zheng, Zhixuan Zhang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2022-10-09T05:18:42Z","title":"Multi-Objective Personalized Product Retrieval in Taobao Search"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.04170","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:dfc095d9ca45666d77a414caf92c72cbd86d4503871d56ac9fb9a97b6f5248fe","target":"record","created_at":"2026-07-05T05:04:37Z","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":"20ad01ab565c4a2065607fa431a80c7b9a4bc3f4d5a13172f418c3bbfcc55a29","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2022-10-09T05:18:42Z","title_canon_sha256":"aea35015abcf9df513d2279b8de3621667a8cfeb18231b789df826df91ddf8df"},"schema_version":"1.0","source":{"id":"2210.04170","kind":"arxiv","version":1}},"canonical_sha256":"2bad3ff3f808e1fa4a7792e92730bc4dcdfcd88a6357869c57c460fe8e0f3c21","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2bad3ff3f808e1fa4a7792e92730bc4dcdfcd88a6357869c57c460fe8e0f3c21","first_computed_at":"2026-07-05T05:04:37.115820Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:04:37.115820Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"L13NGOOt2Vfj6eugm0WkX8uHXqECWIvIgECcSrYMmCoMwltDjTTUphTRGMs5bC8jzFTexgp8l20JLATgdzwaCA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:04:37.116334Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.04170","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dfc095d9ca45666d77a414caf92c72cbd86d4503871d56ac9fb9a97b6f5248fe","sha256:b1f89840f8b41f82f1c39df318c32a0320900135953a3c181ec44745ec443f5b"],"state_sha256":"6452488b98bda27bdf397f97ccb434a822bd99956d918c412552ce831f0e7aa1"}