{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:J4LXDFZCMEYQVYRSGZRTJ3QUO2","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":"7f1ca9206c7aa80ca851537b543a40f12b8cbd2f1647236f58b118d85a0c3136","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.IR","submitted_at":"2022-02-14T10:44:41Z","title_canon_sha256":"89afe5c573c9620ce3e54a31673d2b4baaed85e29b74a910976abf1336fa1d7c"},"schema_version":"1.0","source":{"id":"2202.06602","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.06602","created_at":"2026-07-05T04:15:14Z"},{"alias_kind":"arxiv_version","alias_value":"2202.06602v2","created_at":"2026-07-05T04:15:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.06602","created_at":"2026-07-05T04:15:14Z"},{"alias_kind":"pith_short_12","alias_value":"J4LXDFZCMEYQ","created_at":"2026-07-05T04:15:14Z"},{"alias_kind":"pith_short_16","alias_value":"J4LXDFZCMEYQVYRS","created_at":"2026-07-05T04:15:14Z"},{"alias_kind":"pith_short_8","alias_value":"J4LXDFZC","created_at":"2026-07-05T04:15:14Z"}],"graph_snapshots":[{"event_id":"sha256:e0ac71d92ceb163f27a29b3094f63f6d11de6ce99cccbb9eb30c9c0058fc8333","target":"graph","created_at":"2026-07-05T04:15:14Z","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/2202.06602/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As the final stage of the multi-stage recommender system (MRS), re-ranking directly affects user experience and satisfaction by rearranging the input ranking lists, and thereby plays a critical role in MRS. With the advances in deep learning, neural re-ranking has become a trending topic and been widely applied in industrial applications. This review aims at integrating re-ranking algorithms into a broader picture, and paving ways for more comprehensive solutions for future research. For this purpose, we first present a taxonomy of current methods on neural re-ranking. Then we give a descripti","authors_text":"Bo Chen, Fei Sun, Jiarui Qin, Ruiming Tang, Rui Zhang, Weinan Zhang, Weiwen Liu, Yunjia Xi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.IR","submitted_at":"2022-02-14T10:44:41Z","title":"Neural Re-ranking in Multi-stage Recommender Systems: A Review"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.06602","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":"sha256:33ae07dc3a40ec8da4c68da6f67d25d8fbf5b9f1b145224659fa7927b1cf64bc","target":"record","created_at":"2026-07-05T04:15:14Z","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":"7f1ca9206c7aa80ca851537b543a40f12b8cbd2f1647236f58b118d85a0c3136","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.IR","submitted_at":"2022-02-14T10:44:41Z","title_canon_sha256":"89afe5c573c9620ce3e54a31673d2b4baaed85e29b74a910976abf1336fa1d7c"},"schema_version":"1.0","source":{"id":"2202.06602","kind":"arxiv","version":2}},"canonical_sha256":"4f1771972261310ae232366334ee147695d21ca11bd520b7a4fbd270b6cd8997","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4f1771972261310ae232366334ee147695d21ca11bd520b7a4fbd270b6cd8997","first_computed_at":"2026-07-05T04:15:14.169618Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:15:14.169618Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BjXMMA2JBCVRjsmkjTuYsh//OtKv7MunUIO7hE52SDk14JGw5p7/RTM/EG42IYJzYueRlv7DNpgMTL1RPU6/Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:15:14.170133Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.06602","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:33ae07dc3a40ec8da4c68da6f67d25d8fbf5b9f1b145224659fa7927b1cf64bc","sha256:e0ac71d92ceb163f27a29b3094f63f6d11de6ce99cccbb9eb30c9c0058fc8333"],"state_sha256":"ca2559a4edda44e59a36af70a8cc07667e1824b2ce68023af2e11018b1faad12"}