{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:WHFCJAGGFJVH2GZFRSERRQJMV7","short_pith_number":"pith:WHFCJAGG","canonical_record":{"source":{"id":"2308.15703","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2023-08-30T01:56:57Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"9f63df8e83a25b73152c833d1e2a525dd83e8f090851de314d26cabbd87f1437","abstract_canon_sha256":"497a5fd60f670b086111dfb60cbfae06550b3364eab4fd8e29357ce8a2da329a"},"schema_version":"1.0"},"canonical_sha256":"b1ca2480c62a6a7d1b258c8918c12cafe1d72ad06ee2f1ea5d7fe35ab2a96a91","source":{"kind":"arxiv","id":"2308.15703","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.15703","created_at":"2026-07-05T06:46:11Z"},{"alias_kind":"arxiv_version","alias_value":"2308.15703v1","created_at":"2026-07-05T06:46:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.15703","created_at":"2026-07-05T06:46:11Z"},{"alias_kind":"pith_short_12","alias_value":"WHFCJAGGFJVH","created_at":"2026-07-05T06:46:11Z"},{"alias_kind":"pith_short_16","alias_value":"WHFCJAGGFJVH2GZF","created_at":"2026-07-05T06:46:11Z"},{"alias_kind":"pith_short_8","alias_value":"WHFCJAGG","created_at":"2026-07-05T06:46:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:WHFCJAGGFJVH2GZFRSERRQJMV7","target":"record","payload":{"canonical_record":{"source":{"id":"2308.15703","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2023-08-30T01:56:57Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"9f63df8e83a25b73152c833d1e2a525dd83e8f090851de314d26cabbd87f1437","abstract_canon_sha256":"497a5fd60f670b086111dfb60cbfae06550b3364eab4fd8e29357ce8a2da329a"},"schema_version":"1.0"},"canonical_sha256":"b1ca2480c62a6a7d1b258c8918c12cafe1d72ad06ee2f1ea5d7fe35ab2a96a91","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:46:11.995535Z","signature_b64":"xHuKDyOQs7+t0w9Xc58wkKBF3oXV9a49UIL8a5NtpEtDKQKYPJp7ONw9cOYxvTSt5FJ5ykah8Z5HfDPfD7sjAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b1ca2480c62a6a7d1b258c8918c12cafe1d72ad06ee2f1ea5d7fe35ab2a96a91","last_reissued_at":"2026-07-05T06:46:11.995132Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:46:11.995132Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.15703","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:46:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CEQO8MsIlJkAtnYy3Ejuh+9CJNAiwMcmJLcW6DrGoxTz9UiTsXKgTcWUcWGgAdBaZDTqhAW16NB0E16OXrNABA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T04:20:05.535401Z"},"content_sha256":"855305ce2818011816d3a5b1380777e31f6c078660b78a55d071758b70bf25e5","schema_version":"1.0","event_id":"sha256:855305ce2818011816d3a5b1380777e31f6c078660b78a55d071758b70bf25e5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:WHFCJAGGFJVH2GZFRSERRQJMV7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fragment and Integrate Network (FIN): A Novel Spatial-Temporal Modeling Based on Long Sequential Behavior for Online Food Ordering Click-Through Rate Prediction","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.IR","authors_text":"Bing Cao, Feng Shi, Ge Zhang, Guanjie Xu, Hongwei Wang, Hualei Liu, Jielong Chen, Jingjian Wang, Jun Li, Xing Deng, Zekun Wang","submitted_at":"2023-08-30T01:56:57Z","abstract_excerpt":"Spatial-temporal information has been proven to be of great significance for click-through rate prediction tasks in online Location-Based Services (LBS), especially in mainstream food ordering platforms such as DoorDash, Uber Eats, Meituan, and Ele.me. Modeling user spatial-temporal preferences with sequential behavior data has become a hot topic in recommendation systems and online advertising. However, most of existing methods either lack the representation of rich spatial-temporal information or only handle user behaviors with limited length, e.g. 100. In this paper, we tackle these problem"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.15703","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/2308.15703/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:46:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"014D4z4Nh4dVXP66J6NMO9XZYiFRfvNj0P8gSfcUxP3kWmZ4p36jvVuu5ewjqVMz7MUjBqt6wNbCz5EBf8vfCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T04:20:05.536252Z"},"content_sha256":"4254b5fa2289645a72bc7854daaf9c2151a258dd2ada23c50c0a11b94bd24728","schema_version":"1.0","event_id":"sha256:4254b5fa2289645a72bc7854daaf9c2151a258dd2ada23c50c0a11b94bd24728"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WHFCJAGGFJVH2GZFRSERRQJMV7/bundle.json","state_url":"https://pith.science/pith/WHFCJAGGFJVH2GZFRSERRQJMV7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WHFCJAGGFJVH2GZFRSERRQJMV7/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-11T04:20:05Z","links":{"resolver":"https://pith.science/pith/WHFCJAGGFJVH2GZFRSERRQJMV7","bundle":"https://pith.science/pith/WHFCJAGGFJVH2GZFRSERRQJMV7/bundle.json","state":"https://pith.science/pith/WHFCJAGGFJVH2GZFRSERRQJMV7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WHFCJAGGFJVH2GZFRSERRQJMV7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:WHFCJAGGFJVH2GZFRSERRQJMV7","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":"497a5fd60f670b086111dfb60cbfae06550b3364eab4fd8e29357ce8a2da329a","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2023-08-30T01:56:57Z","title_canon_sha256":"9f63df8e83a25b73152c833d1e2a525dd83e8f090851de314d26cabbd87f1437"},"schema_version":"1.0","source":{"id":"2308.15703","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.15703","created_at":"2026-07-05T06:46:11Z"},{"alias_kind":"arxiv_version","alias_value":"2308.15703v1","created_at":"2026-07-05T06:46:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.15703","created_at":"2026-07-05T06:46:11Z"},{"alias_kind":"pith_short_12","alias_value":"WHFCJAGGFJVH","created_at":"2026-07-05T06:46:11Z"},{"alias_kind":"pith_short_16","alias_value":"WHFCJAGGFJVH2GZF","created_at":"2026-07-05T06:46:11Z"},{"alias_kind":"pith_short_8","alias_value":"WHFCJAGG","created_at":"2026-07-05T06:46:11Z"}],"graph_snapshots":[{"event_id":"sha256:4254b5fa2289645a72bc7854daaf9c2151a258dd2ada23c50c0a11b94bd24728","target":"graph","created_at":"2026-07-05T06:46:11Z","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/2308.15703/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Spatial-temporal information has been proven to be of great significance for click-through rate prediction tasks in online Location-Based Services (LBS), especially in mainstream food ordering platforms such as DoorDash, Uber Eats, Meituan, and Ele.me. Modeling user spatial-temporal preferences with sequential behavior data has become a hot topic in recommendation systems and online advertising. However, most of existing methods either lack the representation of rich spatial-temporal information or only handle user behaviors with limited length, e.g. 100. In this paper, we tackle these problem","authors_text":"Bing Cao, Feng Shi, Ge Zhang, Guanjie Xu, Hongwei Wang, Hualei Liu, Jielong Chen, Jingjian Wang, Jun Li, Xing Deng, Zekun Wang","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2023-08-30T01:56:57Z","title":"Fragment and Integrate Network (FIN): A Novel Spatial-Temporal Modeling Based on Long Sequential Behavior for Online Food Ordering Click-Through Rate Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.15703","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":"sha256:855305ce2818011816d3a5b1380777e31f6c078660b78a55d071758b70bf25e5","target":"record","created_at":"2026-07-05T06:46:11Z","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":"497a5fd60f670b086111dfb60cbfae06550b3364eab4fd8e29357ce8a2da329a","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2023-08-30T01:56:57Z","title_canon_sha256":"9f63df8e83a25b73152c833d1e2a525dd83e8f090851de314d26cabbd87f1437"},"schema_version":"1.0","source":{"id":"2308.15703","kind":"arxiv","version":1}},"canonical_sha256":"b1ca2480c62a6a7d1b258c8918c12cafe1d72ad06ee2f1ea5d7fe35ab2a96a91","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b1ca2480c62a6a7d1b258c8918c12cafe1d72ad06ee2f1ea5d7fe35ab2a96a91","first_computed_at":"2026-07-05T06:46:11.995132Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:46:11.995132Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xHuKDyOQs7+t0w9Xc58wkKBF3oXV9a49UIL8a5NtpEtDKQKYPJp7ONw9cOYxvTSt5FJ5ykah8Z5HfDPfD7sjAg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:46:11.995535Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.15703","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:855305ce2818011816d3a5b1380777e31f6c078660b78a55d071758b70bf25e5","sha256:4254b5fa2289645a72bc7854daaf9c2151a258dd2ada23c50c0a11b94bd24728"],"state_sha256":"9d0b9f683bdcf0cd06bb07921da78880dba83b0e0d4c1c29cdc61ec48e86cffb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RJbpWCH2/GoWbUIGiEoE0hRamenIZgOtGAW8P6Dpj1UadyLML3+NQ8FznNhLDUo0tOfK4vK7/Gbj3RLVzqmMAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T04:20:05.543804Z","bundle_sha256":"3c7f3e4082ee6a53e2db33e510204e45d08e0bea5ed989945417988d6b7fa20a"}}