{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:22T6KOMZUNHHXNBA6US2YM4K2J","short_pith_number":"pith:22T6KOMZ","schema_version":"1.0","canonical_sha256":"d6a7e53999a34e7bb420f525ac338ad24a74b59e82d79ac4707fb3a44c9be389","source":{"kind":"arxiv","id":"2507.02353","version":1},"attestation_state":"computed","paper":{"title":"OMS: On-the-fly, Multi-Objective, Self-Reflective Ad Keyword Generation via LLM Agent","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Bowen Chen, Shingo Takamatsu, Zhao Wang","submitted_at":"2025-07-03T06:37:55Z","abstract_excerpt":"Keyword decision in Sponsored Search Advertising is critical to the success of ad campaigns. While LLM-based methods offer automated keyword generation, they face three major limitations: reliance on large-scale query-keyword pair data, lack of online multi-objective performance monitoring and optimization, and weak quality control in keyword selection. These issues hinder the agentic use of LLMs in fully automating keyword decisions by monitoring and reasoning over key performance indicators such as impressions, clicks, conversions, and CTA effectiveness. To overcome these challenges, we prop"},"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":"2507.02353","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-07-03T06:37:55Z","cross_cats_sorted":[],"title_canon_sha256":"fbf150ff92242e056edb7a003090d02a8abb1cc7cf1caea7f09d449b5e3b3612","abstract_canon_sha256":"9ff28ddb8abd0493aebcecec21aa51d929c468125fba27a079ad6d8cada48a95"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:31:16.439821Z","signature_b64":"wCIBBO6YHkVAyg7qd+Bzsgt+jt6sqEUkSwl7S9rcFq6IkW/AGg0mVauS0MA4wxh1suUhtd9YSJf8Ke2w9cuwBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d6a7e53999a34e7bb420f525ac338ad24a74b59e82d79ac4707fb3a44c9be389","last_reissued_at":"2026-07-05T11:31:16.439326Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:31:16.439326Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"OMS: On-the-fly, Multi-Objective, Self-Reflective Ad Keyword Generation via LLM Agent","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Bowen Chen, Shingo Takamatsu, Zhao Wang","submitted_at":"2025-07-03T06:37:55Z","abstract_excerpt":"Keyword decision in Sponsored Search Advertising is critical to the success of ad campaigns. While LLM-based methods offer automated keyword generation, they face three major limitations: reliance on large-scale query-keyword pair data, lack of online multi-objective performance monitoring and optimization, and weak quality control in keyword selection. These issues hinder the agentic use of LLMs in fully automating keyword decisions by monitoring and reasoning over key performance indicators such as impressions, clicks, conversions, and CTA effectiveness. To overcome these challenges, we prop"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.02353","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/2507.02353/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":"2507.02353","created_at":"2026-07-05T11:31:16.439388+00:00"},{"alias_kind":"arxiv_version","alias_value":"2507.02353v1","created_at":"2026-07-05T11:31:16.439388+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.02353","created_at":"2026-07-05T11:31:16.439388+00:00"},{"alias_kind":"pith_short_12","alias_value":"22T6KOMZUNHH","created_at":"2026-07-05T11:31:16.439388+00:00"},{"alias_kind":"pith_short_16","alias_value":"22T6KOMZUNHHXNBA","created_at":"2026-07-05T11:31:16.439388+00:00"},{"alias_kind":"pith_short_8","alias_value":"22T6KOMZ","created_at":"2026-07-05T11:31:16.439388+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/22T6KOMZUNHHXNBA6US2YM4K2J","json":"https://pith.science/pith/22T6KOMZUNHHXNBA6US2YM4K2J.json","graph_json":"https://pith.science/api/pith-number/22T6KOMZUNHHXNBA6US2YM4K2J/graph.json","events_json":"https://pith.science/api/pith-number/22T6KOMZUNHHXNBA6US2YM4K2J/events.json","paper":"https://pith.science/paper/22T6KOMZ"},"agent_actions":{"view_html":"https://pith.science/pith/22T6KOMZUNHHXNBA6US2YM4K2J","download_json":"https://pith.science/pith/22T6KOMZUNHHXNBA6US2YM4K2J.json","view_paper":"https://pith.science/paper/22T6KOMZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2507.02353&json=true","fetch_graph":"https://pith.science/api/pith-number/22T6KOMZUNHHXNBA6US2YM4K2J/graph.json","fetch_events":"https://pith.science/api/pith-number/22T6KOMZUNHHXNBA6US2YM4K2J/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/22T6KOMZUNHHXNBA6US2YM4K2J/action/timestamp_anchor","attest_storage":"https://pith.science/pith/22T6KOMZUNHHXNBA6US2YM4K2J/action/storage_attestation","attest_author":"https://pith.science/pith/22T6KOMZUNHHXNBA6US2YM4K2J/action/author_attestation","sign_citation":"https://pith.science/pith/22T6KOMZUNHHXNBA6US2YM4K2J/action/citation_signature","submit_replication":"https://pith.science/pith/22T6KOMZUNHHXNBA6US2YM4K2J/action/replication_record"}},"created_at":"2026-07-05T11:31:16.439388+00:00","updated_at":"2026-07-05T11:31:16.439388+00:00"}