{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:WJKLH6Z2ZQP6VXYRSAWITAW4KM","short_pith_number":"pith:WJKLH6Z2","schema_version":"1.0","canonical_sha256":"b254b3fb3acc1feadf11902c8982dc53226aefde1aeeef5f5eaa32af63d9679f","source":{"kind":"arxiv","id":"2606.27865","version":1},"attestation_state":"computed","paper":{"title":"From Bootstrapping to Sequence Modeling: A Unified Generative Framework for Personalized Landing-Page Modeling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Chang Meng, Fan Li, Jiaqi Fu, Kaiqiao Zhan, Shuchang Liu, Tianke Zhang, Xiaoqiang Feng, Xueliang Wang, Yongqi Liu","submitted_at":"2026-06-26T09:06:04Z","abstract_excerpt":"Modern online platforms increasingly adopt multi-page architectures to accommodate diverse user needs. On these platforms, page navigation (the process of directing users to specific functional pages upon app entry) serves as a critical gateway that shapes user's first impression and significantly influences subsequent engagement. To optimize this process, Kuaishou formulated the task of Personalized Landing Page Modeling (PLPM) and proposed KLAN, a reinforcement learning framework built upon Conservative Q-Learning (CQL). However, CQL-based approaches suffer from two fundamental limitations: "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.27865","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-06-26T09:06:04Z","cross_cats_sorted":[],"title_canon_sha256":"1c9afc334507dd625554c1967beb7a9237efb24aab4ba94854a03099d12aad86","abstract_canon_sha256":"5fc43c7ab4fa909e01489b468377635dc0f33f8992af72da3e253074ade6b498"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-29T01:14:51.083663Z","signature_b64":"UwCOKVcS1zoOsjAIZJzIHVSi9Y8OeA/ynvb9vqsUjG0AM3+brd1ZATNDBRMVyHzsvyxlWEBdyNN6ATd7VSBHBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b254b3fb3acc1feadf11902c8982dc53226aefde1aeeef5f5eaa32af63d9679f","last_reissued_at":"2026-06-29T01:14:51.083253Z","signature_status":"signed_v1","first_computed_at":"2026-06-29T01:14:51.083253Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"From Bootstrapping to Sequence Modeling: A Unified Generative Framework for Personalized Landing-Page Modeling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Chang Meng, Fan Li, Jiaqi Fu, Kaiqiao Zhan, Shuchang Liu, Tianke Zhang, Xiaoqiang Feng, Xueliang Wang, Yongqi Liu","submitted_at":"2026-06-26T09:06:04Z","abstract_excerpt":"Modern online platforms increasingly adopt multi-page architectures to accommodate diverse user needs. On these platforms, page navigation (the process of directing users to specific functional pages upon app entry) serves as a critical gateway that shapes user's first impression and significantly influences subsequent engagement. To optimize this process, Kuaishou formulated the task of Personalized Landing Page Modeling (PLPM) and proposed KLAN, a reinforcement learning framework built upon Conservative Q-Learning (CQL). However, CQL-based approaches suffer from two fundamental limitations: "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.27865","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2606.27865/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.27865","created_at":"2026-06-29T01:14:51.083311+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.27865v1","created_at":"2026-06-29T01:14:51.083311+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.27865","created_at":"2026-06-29T01:14:51.083311+00:00"},{"alias_kind":"pith_short_12","alias_value":"WJKLH6Z2ZQP6","created_at":"2026-06-29T01:14:51.083311+00:00"},{"alias_kind":"pith_short_16","alias_value":"WJKLH6Z2ZQP6VXYR","created_at":"2026-06-29T01:14:51.083311+00:00"},{"alias_kind":"pith_short_8","alias_value":"WJKLH6Z2","created_at":"2026-06-29T01:14:51.083311+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/WJKLH6Z2ZQP6VXYRSAWITAW4KM","json":"https://pith.science/pith/WJKLH6Z2ZQP6VXYRSAWITAW4KM.json","graph_json":"https://pith.science/api/pith-number/WJKLH6Z2ZQP6VXYRSAWITAW4KM/graph.json","events_json":"https://pith.science/api/pith-number/WJKLH6Z2ZQP6VXYRSAWITAW4KM/events.json","paper":"https://pith.science/paper/WJKLH6Z2"},"agent_actions":{"view_html":"https://pith.science/pith/WJKLH6Z2ZQP6VXYRSAWITAW4KM","download_json":"https://pith.science/pith/WJKLH6Z2ZQP6VXYRSAWITAW4KM.json","view_paper":"https://pith.science/paper/WJKLH6Z2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.27865&json=true","fetch_graph":"https://pith.science/api/pith-number/WJKLH6Z2ZQP6VXYRSAWITAW4KM/graph.json","fetch_events":"https://pith.science/api/pith-number/WJKLH6Z2ZQP6VXYRSAWITAW4KM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WJKLH6Z2ZQP6VXYRSAWITAW4KM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WJKLH6Z2ZQP6VXYRSAWITAW4KM/action/storage_attestation","attest_author":"https://pith.science/pith/WJKLH6Z2ZQP6VXYRSAWITAW4KM/action/author_attestation","sign_citation":"https://pith.science/pith/WJKLH6Z2ZQP6VXYRSAWITAW4KM/action/citation_signature","submit_replication":"https://pith.science/pith/WJKLH6Z2ZQP6VXYRSAWITAW4KM/action/replication_record"}},"created_at":"2026-06-29T01:14:51.083311+00:00","updated_at":"2026-06-29T01:14:51.083311+00:00"}