{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:OS3ESCIK34CVGXPMFRIKCMVFDQ","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":"64b966f2fc91f901f966aeb7b3dce50bf6821e298b0b8785ff34145c790c20ac","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-09-19T12:30:26Z","title_canon_sha256":"c20bcaa7a7c63d652c3a90e2149835529c96a08fac61610415cd821c6cf3d03d"},"schema_version":"1.0","source":{"id":"2509.15927","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.15927","created_at":"2026-06-19T16:12:47Z"},{"alias_kind":"arxiv_version","alias_value":"2509.15927v5","created_at":"2026-06-19T16:12:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.15927","created_at":"2026-06-19T16:12:47Z"},{"alias_kind":"pith_short_12","alias_value":"OS3ESCIK34CV","created_at":"2026-06-19T16:12:47Z"},{"alias_kind":"pith_short_16","alias_value":"OS3ESCIK34CVGXPM","created_at":"2026-06-19T16:12:47Z"},{"alias_kind":"pith_short_8","alias_value":"OS3ESCIK","created_at":"2026-06-19T16:12:47Z"}],"graph_snapshots":[{"event_id":"sha256:77b92e6a19d31887865c19c6498273b8d5c575b38d0cd8b9a99533c260644d3d","target":"graph","created_at":"2026-06-19T16:12:47Z","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/2509.15927/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Auto-bidding is a critical tool for advertisers to improve advertising performance. Recent progress has demonstrated that AI-Generated Bidding (AIGB), which learns a conditional generative planner from offline data, achieves superior performance compared to typical offline reinforcement learning (RL)-based auto-bidding methods. However, existing AIGB methods still face a performance bottleneck due to their inherent inability to explore beyond the static dataset with feedback. To address this, we propose \\textbf{AIGB-Pearl} (\\emph{\\textbf{P}lanning with \\textbf{E}valu\\textbf{A}tor via \\textbf{R","authors_text":"Bo Zheng, Chao Li, Chuan Yu, Jian Xu, Jinghao Chen, Miao Xu, Qichen Ye, Qi Wang, Rongquan Bai, Yiqin Lv, Yixiu Mao, Zhiyu Mou","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-09-19T12:30:26Z","title":"Enhancing Generative Auto-bidding with Offline Reward Evaluation and Policy Search"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.15927","kind":"arxiv","version":5},"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":"sha256:7064a5e5467e60ac2c3fb495cabb9593023af3f066a5a95b48975d2ab895333e","target":"record","created_at":"2026-06-19T16:12:47Z","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":"64b966f2fc91f901f966aeb7b3dce50bf6821e298b0b8785ff34145c790c20ac","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-09-19T12:30:26Z","title_canon_sha256":"c20bcaa7a7c63d652c3a90e2149835529c96a08fac61610415cd821c6cf3d03d"},"schema_version":"1.0","source":{"id":"2509.15927","kind":"arxiv","version":5}},"canonical_sha256":"74b649090adf05535dec2c50a132a51c21ce4cc7813ffe79132feb4df3e0beb5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"74b649090adf05535dec2c50a132a51c21ce4cc7813ffe79132feb4df3e0beb5","first_computed_at":"2026-06-19T16:12:47.995715Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:12:47.995715Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"f0iCSBrDAU5th42ocBKWefbF14GfnaEFgiM2ezMCoKE0K0WTGRQpnIllmjKG8XCHjNtd8+kHfVwMuwoDRcc6CQ==","signature_status":"signed_v1","signed_at":"2026-06-19T16:12:47.996237Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.15927","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7064a5e5467e60ac2c3fb495cabb9593023af3f066a5a95b48975d2ab895333e","sha256:77b92e6a19d31887865c19c6498273b8d5c575b38d0cd8b9a99533c260644d3d"],"state_sha256":"9d4b36921750d6c54132a9251e0fbcceb4b28d3ae2ff1e130c07f401af0738af"}