{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:CCMSJFOANBNPQ4MDVOBKLBVGWC","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":"79559c1f6d5b36d64b845a9f3f1e69372392e91a22cd82f498108b797d2da238","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-05-24T23:02:19Z","title_canon_sha256":"8d2b4aae7302d3a109dba1fb3e9fafd0f15e758fd1c2fec5c399940db2f2f93e"},"schema_version":"1.0","source":{"id":"2505.18897","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.18897","created_at":"2026-07-05T11:09:21Z"},{"alias_kind":"arxiv_version","alias_value":"2505.18897v1","created_at":"2026-07-05T11:09:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.18897","created_at":"2026-07-05T11:09:21Z"},{"alias_kind":"pith_short_12","alias_value":"CCMSJFOANBNP","created_at":"2026-07-05T11:09:21Z"},{"alias_kind":"pith_short_16","alias_value":"CCMSJFOANBNPQ4MD","created_at":"2026-07-05T11:09:21Z"},{"alias_kind":"pith_short_8","alias_value":"CCMSJFOA","created_at":"2026-07-05T11:09:21Z"}],"graph_snapshots":[{"event_id":"sha256:8a9e8fdaf447d26081c1369515cb33bfb2b9ab7deb058a4b81d03c35ebbf8a0f","target":"graph","created_at":"2026-07-05T11:09:21Z","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/2505.18897/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In search advertising, keyword matching connects user queries with relevant ads. While token-based matching increases ad coverage, it can reduce relevance due to overly permissive semantic expansion. This work extends keyword reach through document-side semantic keyword expansion, using a language model to broaden token-level matching without altering queries. We propose a solution using a pre-trained siamese model to generate dense vector representations of ad keywords and identify semantically related variants through nearest neighbor search. To maintain precision, we introduce a cluster-bas","authors_text":"Abraham Bagherjeiran, Anis Zaman, Dipanwita Saha, Hua Zou, Nadia Vase, Ning Chen, Xinxin Shu","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-05-24T23:02:19Z","title":"Improving Ad matching via Cluster-Adaptive Keyword Expansion and Relevance tuning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.18897","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:c83b2150605b184c4338d27e9606f98410805604888a1a4266ce06a86681e8fa","target":"record","created_at":"2026-07-05T11:09:21Z","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":"79559c1f6d5b36d64b845a9f3f1e69372392e91a22cd82f498108b797d2da238","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-05-24T23:02:19Z","title_canon_sha256":"8d2b4aae7302d3a109dba1fb3e9fafd0f15e758fd1c2fec5c399940db2f2f93e"},"schema_version":"1.0","source":{"id":"2505.18897","kind":"arxiv","version":1}},"canonical_sha256":"10992495c0685af87183ab82a586a6b0aa284119af93d760769bad89556b1bfe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"10992495c0685af87183ab82a586a6b0aa284119af93d760769bad89556b1bfe","first_computed_at":"2026-07-05T11:09:21.547510Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:09:21.547510Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"l22bavy43ds+zJ3tgEsHg1kDYWFTak2HtCu1GYLzv0VkCbhkyXxnXZILvout93bXC3Ij/TOqFCef8JQSQJ04CA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:09:21.547991Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.18897","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c83b2150605b184c4338d27e9606f98410805604888a1a4266ce06a86681e8fa","sha256:8a9e8fdaf447d26081c1369515cb33bfb2b9ab7deb058a4b81d03c35ebbf8a0f"],"state_sha256":"5010d2e02cd418a6ad856aa993d4d7675581d7f23b74e840f6eb0e243c492fe4"}