{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ASCLPXVTPRZIFD4I3LGC7RFAUP","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":"f44991365b1ec5ac5d01c87a70f114d8cc6bf8f49b30bda98c4d1328ed226163","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-05-27T03:31:07Z","title_canon_sha256":"7c42bcbf40bba17e3290e0ddd4802100e3c44c8a1a56d7f2eda219ac7f1ab2ac"},"schema_version":"1.0","source":{"id":"2506.06316","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.06316","created_at":"2026-07-05T11:17:47Z"},{"alias_kind":"arxiv_version","alias_value":"2506.06316v1","created_at":"2026-07-05T11:17:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.06316","created_at":"2026-07-05T11:17:47Z"},{"alias_kind":"pith_short_12","alias_value":"ASCLPXVTPRZI","created_at":"2026-07-05T11:17:47Z"},{"alias_kind":"pith_short_16","alias_value":"ASCLPXVTPRZIFD4I","created_at":"2026-07-05T11:17:47Z"},{"alias_kind":"pith_short_8","alias_value":"ASCLPXVT","created_at":"2026-07-05T11:17:47Z"}],"graph_snapshots":[{"event_id":"sha256:5310c813b21ed43a43326639b20fe79dc411bb9a0c1ed633982827721ad5198c","target":"graph","created_at":"2026-07-05T11:17:47Z","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/2506.06316/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"For personalized marketing, a new challenge of how to effectively algorithm the A/B testing to maximize user response is urgently to be overcome. In this paper, we present a new approach, the RL-LLM-AB test framework, for using reinforcement learning strategy optimization combined with LLM to automate and personalize A/B tests. The RL-LLM-AB test is built upon the pre-trained instruction-tuned language model. It first generates A/B versions of candidate content variants using a Prompt-Conditioned Generator, and then dynamically embeds and fuses the user portrait and the context of the current ","authors_text":"Haoyang Feng, Yanjun Dai, Yuan Gao","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-05-27T03:31:07Z","title":"A Reinforcement-Learning-Enhanced LLM Framework for Automated A/B Testing in Personalized Marketing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.06316","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:c76a3dea6021e7df28547c42df73db28739247437bc58866986707d0ecf2aeca","target":"record","created_at":"2026-07-05T11:17:47Z","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":"f44991365b1ec5ac5d01c87a70f114d8cc6bf8f49b30bda98c4d1328ed226163","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-05-27T03:31:07Z","title_canon_sha256":"7c42bcbf40bba17e3290e0ddd4802100e3c44c8a1a56d7f2eda219ac7f1ab2ac"},"schema_version":"1.0","source":{"id":"2506.06316","kind":"arxiv","version":1}},"canonical_sha256":"0484b7deb37c72828f88dacc2fc4a0a3c8f97cb4abe8c9a96ce910701ba5af3b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0484b7deb37c72828f88dacc2fc4a0a3c8f97cb4abe8c9a96ce910701ba5af3b","first_computed_at":"2026-07-05T11:17:47.922335Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:17:47.922335Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6Pp4rRE/AhPDBiILT+EPGqRIj18A9uv7rMvTB6SXlE5h3sqGu7rvYWFTPnTUpCjDIH2SxLOR7A2djZKdi8EzAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:17:47.922816Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.06316","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c76a3dea6021e7df28547c42df73db28739247437bc58866986707d0ecf2aeca","sha256:5310c813b21ed43a43326639b20fe79dc411bb9a0c1ed633982827721ad5198c"],"state_sha256":"26a2d59ac6038a7d63b740605e23a8abe2099fe8d785f3907e253d45dc8bae48"}