{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:RD5Z466H6B2BYXDJJVEDZSQBPS","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":"6ee09ff20f19a1a42a0823bfd5a1c4bda1473f5493b22a0d08e0d37a1df92ce2","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2020-07-12T06:23:51Z","title_canon_sha256":"944886e488a396e66be2d599212c4b9f909e093db14292d36e0ee7cf34fc9af4"},"schema_version":"1.0","source":{"id":"2007.07203","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.07203","created_at":"2026-07-05T02:40:49Z"},{"alias_kind":"arxiv_version","alias_value":"2007.07203v2","created_at":"2026-07-05T02:40:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.07203","created_at":"2026-07-05T02:40:49Z"},{"alias_kind":"pith_short_12","alias_value":"RD5Z466H6B2B","created_at":"2026-07-05T02:40:49Z"},{"alias_kind":"pith_short_16","alias_value":"RD5Z466H6B2BYXDJ","created_at":"2026-07-05T02:40:49Z"},{"alias_kind":"pith_short_8","alias_value":"RD5Z466H","created_at":"2026-07-05T02:40:49Z"}],"graph_snapshots":[{"event_id":"sha256:face7e63870ea225cd961aad975b607c19988705bf185511481fa45a6631bfe6","target":"graph","created_at":"2026-07-05T02:40:49Z","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/2007.07203/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"One of the core problems in large-scale recommendations is to retrieve top relevant candidates accurately and efficiently, preferably in sub-linear time. Previous approaches are mostly based on a two-step procedure: first learn an inner-product model, and then use some approximate nearest neighbor (ANN) search algorithm to find top candidates. In this paper, we present Deep Retrieval (DR), to learn a retrievable structure directly with user-item interaction data (e.g. clicks) without resorting to the Euclidean space assumption in ANN algorithms. DR's structure encodes all candidate items into ","authors_text":"Chong Wang, Hui Yang, Jiankai Sun, Kai Jia, Ruofan Ding, Weihao Gao, Wenzhi Xiao, Xiangjun Fan, Xiaobing Liu, Xingyan Bin","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2020-07-12T06:23:51Z","title":"Deep Retrieval: Learning A Retrievable Structure for Large-Scale Recommendations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.07203","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":"sha256:638491726f72d1032ee3729127f076f80a3a734e6ae20de7f31ffcf2f5350710","target":"record","created_at":"2026-07-05T02:40:49Z","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":"6ee09ff20f19a1a42a0823bfd5a1c4bda1473f5493b22a0d08e0d37a1df92ce2","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2020-07-12T06:23:51Z","title_canon_sha256":"944886e488a396e66be2d599212c4b9f909e093db14292d36e0ee7cf34fc9af4"},"schema_version":"1.0","source":{"id":"2007.07203","kind":"arxiv","version":2}},"canonical_sha256":"88fb9e7bc7f0741c5c694d483cca017cb59e1b71373eaa8432ec608639a7f6fd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"88fb9e7bc7f0741c5c694d483cca017cb59e1b71373eaa8432ec608639a7f6fd","first_computed_at":"2026-07-05T02:40:49.078161Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:40:49.078161Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"S7cwLXMP6sBfnFgU6hwNEaXVtS0LqsHgJiUUmnoxxnDTYKSTr6AfOzTDA2syZaKH7mwo05G0tTNvojZH/JdHDA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:40:49.078740Z","signed_message":"canonical_sha256_bytes"},"source_id":"2007.07203","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:638491726f72d1032ee3729127f076f80a3a734e6ae20de7f31ffcf2f5350710","sha256:face7e63870ea225cd961aad975b607c19988705bf185511481fa45a6631bfe6"],"state_sha256":"d2fcac146a5ec8abb7d9e2c5bdbc20984815e70f1b9712a654641c82cc935e92"}