{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:XHP5SFREJHGC4HBU2OTMX6Y2C6","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":"8dea22145ef48eb4b9416dccadf812d1f47db376494eb4fc1b5018cbf739727d","cross_cats_sorted":["cs.IR","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-05-25T16:24:01Z","title_canon_sha256":"6cfa155be9a9a3f0ad4e023c16dd4c062635631d7f0926e841ecc1f665978c43"},"schema_version":"1.0","source":{"id":"2005.12206","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.12206","created_at":"2026-07-05T01:05:31Z"},{"alias_kind":"arxiv_version","alias_value":"2005.12206v1","created_at":"2026-07-05T01:05:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.12206","created_at":"2026-07-05T01:05:31Z"},{"alias_kind":"pith_short_12","alias_value":"XHP5SFREJHGC","created_at":"2026-07-05T01:05:31Z"},{"alias_kind":"pith_short_16","alias_value":"XHP5SFREJHGC4HBU","created_at":"2026-07-05T01:05:31Z"},{"alias_kind":"pith_short_8","alias_value":"XHP5SFRE","created_at":"2026-07-05T01:05:31Z"}],"graph_snapshots":[{"event_id":"sha256:caee633fd562db035386bb4f73e5085ff9c51fd294f7c1bdd67c95f88c28a6fc","target":"graph","created_at":"2026-07-05T01:05:31Z","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/2005.12206/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The slate re-ranking problem considers the mutual influences between items to improve user satisfaction in e-commerce, compared with the point-wise ranking. Previous works either directly rank items by an end to end model, or rank items by a score function that trades-off the point-wise score and the diversity between items. However, there are two main existing challenges that are not well studied: (1) the evaluation of the slate is hard due to the complex mutual influences between items of one slate; (2) even given the optimal evaluation, searching the optimal slate is challenging as the acti","authors_text":"Anxiang Zeng, Jianxiong Wei, Peng Guo, Qingpeng Cai, Qingsong Hua, Yueqiu Wu","cross_cats":["cs.IR","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-05-25T16:24:01Z","title":"Generator and Critic: A Deep Reinforcement Learning Approach for Slate Re-ranking in E-commerce"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.12206","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":"sha256:7d05834d4d6416ac6a5b5b07b7b05cc1801aa45b0e670a5328e1711059e9eb11","target":"record","created_at":"2026-07-05T01:05:31Z","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":"8dea22145ef48eb4b9416dccadf812d1f47db376494eb4fc1b5018cbf739727d","cross_cats_sorted":["cs.IR","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-05-25T16:24:01Z","title_canon_sha256":"6cfa155be9a9a3f0ad4e023c16dd4c062635631d7f0926e841ecc1f665978c43"},"schema_version":"1.0","source":{"id":"2005.12206","kind":"arxiv","version":1}},"canonical_sha256":"b9dfd9162449cc2e1c34d3a6cbfb1a17bc6d8e63a3d506c6680000dadc18bf14","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b9dfd9162449cc2e1c34d3a6cbfb1a17bc6d8e63a3d506c6680000dadc18bf14","first_computed_at":"2026-07-05T01:05:31.908520Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:05:31.908520Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kqBdg5dEevRmhCD/uY69sEgFHdHB03W0tZiWomS1w8PxGMXxJjRrws/4b0HFWleb1eVttoalojcVIjrUqlDZBA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:05:31.909653Z","signed_message":"canonical_sha256_bytes"},"source_id":"2005.12206","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7d05834d4d6416ac6a5b5b07b7b05cc1801aa45b0e670a5328e1711059e9eb11","sha256:caee633fd562db035386bb4f73e5085ff9c51fd294f7c1bdd67c95f88c28a6fc"],"state_sha256":"2a4ae4aae4214958080bfb6bf3b7d4c0dcb5b7afbb3c3e3e5b7e693b7d950cb1"}