{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:FI4U4LVX5DPWFZUROIIMHLO643","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":"b2e3c71b77e642554dad75972fe38ddad4edede3203828ec1fa149357ebaa69a","cross_cats_sorted":["cs.AI","cs.LG","cs.SI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-04-02T19:14:23Z","title_canon_sha256":"3a4dd078e02484bdf403f82154fa1997c9d71852837036e3b015a16d7ec72e6a"},"schema_version":"1.0","source":{"id":"2404.02249","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.02249","created_at":"2026-07-05T08:04:39Z"},{"alias_kind":"arxiv_version","alias_value":"2404.02249v2","created_at":"2026-07-05T08:04:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.02249","created_at":"2026-07-05T08:04:39Z"},{"alias_kind":"pith_short_12","alias_value":"FI4U4LVX5DPW","created_at":"2026-07-05T08:04:39Z"},{"alias_kind":"pith_short_16","alias_value":"FI4U4LVX5DPWFZUR","created_at":"2026-07-05T08:04:39Z"},{"alias_kind":"pith_short_8","alias_value":"FI4U4LVX","created_at":"2026-07-05T08:04:39Z"}],"graph_snapshots":[{"event_id":"sha256:9da7a7797565e2b0f97303935e5f9935649ad0a7529231420bb00756be719b2d","target":"graph","created_at":"2026-07-05T08:04:39Z","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/2404.02249/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Predicting click-through rates (CTR) is a fundamental task for Web applications, where a key issue is to devise effective models for feature interactions. Current methodologies predominantly concentrate on modeling feature interactions within an individual sample, while overlooking the potential cross-sample relationships that can serve as a reference context to enhance the prediction. To make up for such deficiency, this paper develops a Retrieval-Augmented Transformer (RAT), aiming to acquire fine-grained feature interactions within and across samples. By retrieving similar samples, we const","authors_text":"Jieming Zhu, Jinpeng Wang, Jun Yuan, Rui Zhang, Shu-Tao Xia, Tao Dai, Yushen Li","cross_cats":["cs.AI","cs.LG","cs.SI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-04-02T19:14:23Z","title":"RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.02249","kind":"arxiv","version":2},"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":"sha256:90da3d28df12efe840c76a7b927f0dfa8cc764ca0c47755523f41d8f7fcb63af","target":"record","created_at":"2026-07-05T08:04:39Z","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":"b2e3c71b77e642554dad75972fe38ddad4edede3203828ec1fa149357ebaa69a","cross_cats_sorted":["cs.AI","cs.LG","cs.SI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-04-02T19:14:23Z","title_canon_sha256":"3a4dd078e02484bdf403f82154fa1997c9d71852837036e3b015a16d7ec72e6a"},"schema_version":"1.0","source":{"id":"2404.02249","kind":"arxiv","version":2}},"canonical_sha256":"2a394e2eb7e8df62e6917210c3addee6e342da10616c30f0077391ceeb6f1a95","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2a394e2eb7e8df62e6917210c3addee6e342da10616c30f0077391ceeb6f1a95","first_computed_at":"2026-07-05T08:04:39.128268Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:04:39.128268Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"28fe1TkzXubgJFNRn88bj/78SX44JyBl3iadIl/wxd7Vpk1EnMTdsy0LxkeueOnLSU+prNfZz3o2uZNYj1hsAg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:04:39.128723Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.02249","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:90da3d28df12efe840c76a7b927f0dfa8cc764ca0c47755523f41d8f7fcb63af","sha256:9da7a7797565e2b0f97303935e5f9935649ad0a7529231420bb00756be719b2d"],"state_sha256":"3585cff7a3275cd4a69b1d4e52e3eac6df02f15c76dd31633d21c9719e7f49e7"}