{"as_of":"2026-08-13T10:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:838d601aec05202c8e1b197719f90b7278cb514238dbfa3942750d43e988c446","coverage":[{"denominator":27,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-27T16:56:12.040446Z","state":"measured"},{"denominator":27,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":27,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2606.10243/citation-record","integrity":"/paper/2606.10243/integrity","json":"/paper/2606.10243/citation-record.json","paper":"/paper/2606.10243"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"6302.373193","doi":"10.1145/3726302.3731934","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"WebFAQ : A multilingual collection of natural Q&A datasets for dense retrieval","venue":null,"work_id":"0e4b3277-4efa-4337-94b2-0f853cb8603e","year":2025},"citing_paper":{"arxiv_id":"2606.10243","last_updated":"2026-06-08T23:13:58Z","snapshot_observed_at":"2026-08-08T13:37:35.818714Z","submitted_at":"2026-06-08T23:13:58Z","title":"DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-27T16:56:12.040446Z"},"links":{"citing_paper":"/paper/2606.10243"},"observation_digest":"sha256:a17af897b224e58ba0dc1c9055660206b6096d075c3df4bff0e68527210cbed2","observation_id":"a292d953-0960-4a8e-bea6-96f0884eb9d6","resolution":{"observed_at":"2026-06-27T17:01:07.882785Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-05-22T11:23:09.503664+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-22T11:23:09.503664+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2211.06684","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-03T00:57:30.139438Z","title":"arXiv:2211.06684 [cs.LG]https://arxiv.org/abs/2211.06684 Wei Deng, Junwei Pan, Tian Zhou, Deguang Kong, Aaron Flores, and Guang Lin","venue":null,"work_id":"409362f0-7550-4f84-b900-75b1854980fb","year":null},"citing_paper":{"arxiv_id":"2606.10243","last_updated":"2026-06-08T23:13:58Z","snapshot_observed_at":"2026-08-08T13:37:35.818714Z","submitted_at":"2026-06-08T23:13:58Z","title":"DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-27T16:56:12.040446Z"},"links":{"citing_paper":"/paper/2606.10243"},"observation_digest":"sha256:b732a1b0e2621c5875db52e81a08ac9d3c490694d5b9616ed7187496b937b08c","observation_id":"ac57fc81-9861-4312-b8f1-dc44d75ed1c7","resolution":{"observed_at":"2026-07-03T00:57:30.141467Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2002.06987","last_updated":"2021-01-06T22:13:51Z","snapshot_observed_at":"2026-07-06T08:57:48.866457Z","submitted_at":"2020-02-17T14:51:31Z","title":"DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving","version":3},"cited_work":{"arxiv_id":"2002.06987","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2002.06987","snapshot_observed_at":"2026-07-03T00:57:30.142771Z","title":"arXiv:2002.06987 [cs.LG]https://arxiv.org/ abs/2002.06987 Ke Fei, Xinyue Zhang, and Jingjing Li","venue":null,"work_id":"f5a672e2-fc19-4695-bafc-7f13ba53f3e9","year":2002},"citing_paper":{"arxiv_id":"2606.10243","last_updated":"2026-06-08T23:13:58Z","snapshot_observed_at":"2026-08-08T13:37:35.818714Z","submitted_at":"2026-06-08T23:13:58Z","title":"DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-27T16:56:12.040446Z"},"links":{"cited_paper":"/paper/2002.06987","citing_paper":"/paper/2606.10243"},"observation_digest":"sha256:613aa1ec6e50cea8c799c82d3fcb099b68a3ef7e225981c9b8d3e06f646a2f47","observation_id":"5667e322-8bd7-47f2-a674-e732b1c4ea68","resolution":{"observed_at":"2026-07-03T00:57:30.144324Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15687","last_updated":"2024-12-17T09:37:01Z","snapshot_observed_at":"2026-08-11T13:45:59.585926Z","submitted_at":"2024-12-17T09:37:01Z","title":"Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction","version":1},"cited_work":{"arxiv_id":"2502.15687","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.15687","snapshot_observed_at":"2026-07-03T00:57:30.131065Z","title":null,"venue":null,"work_id":"a7c2093f-9ec6-481c-83c3-464d0a6a383f","year":null},"citing_paper":{"arxiv_id":"2606.10243","last_updated":"2026-06-08T23:13:58Z","snapshot_observed_at":"2026-08-08T13:37:35.818714Z","submitted_at":"2026-06-08T23:13:58Z","title":"DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-27T16:56:12.040446Z"},"links":{"cited_paper":"/paper/2502.15687","citing_paper":"/paper/2606.10243"},"observation_digest":"sha256:95f5dae5a2423ae81b73a9082b816bfa4d6ab43eeec49f82af78792d186be411","observation_id":"0c6b954c-0ac7-42c9-b91d-5fce5b4dfd3e","resolution":{"observed_at":"2026-07-03T00:57:30.132736Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.10743","last_updated":"2024-09-26T03:38:59Z","snapshot_observed_at":"2026-08-13T07:29:36.391441Z","submitted_at":"2023-12-17T15:28:06Z","title":"A Unified Framework for Multi-Domain CTR Prediction via Large Language Models","version":4},"cited_work":{"arxiv_id":"2312.10743","doi":"10.48550/arxiv.2312.10743","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.10743","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv:2312.10743 [cs.IR]https://arxiv.org/abs/2312.10743 Vineet Gupta, Tomer Koren, and Yoram Singer","venue":"arXiv (Cornell University)","work_id":"fdf91667-67a2-4624-922a-426eb98e164e","year":2023},"citing_paper":{"arxiv_id":"2606.10243","last_updated":"2026-06-08T23:13:58Z","snapshot_observed_at":"2026-08-08T13:37:35.818714Z","submitted_at":"2026-06-08T23:13:58Z","title":"DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-27T16:56:12.040446Z"},"links":{"cited_paper":"/paper/2312.10743","citing_paper":"/paper/2606.10243"},"observation_digest":"sha256:0fabe05e2c425520f04221ad0c261c090e5ef0fde7c471599be4483a879507b0","observation_id":"d7bb634c-470a-40dd-ab2c-fa87dcb5d68a","resolution":{"observed_at":"2026-07-03T00:57:30.127274Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1802.09568","last_updated":"2018-03-02T00:12:58Z","snapshot_observed_at":"2026-08-12T16:58:21.605012Z","submitted_at":"2018-02-26T19:36:41Z","title":"Shampoo: Preconditioned Stochastic Tensor Optimization","version":2},"cited_work":{"arxiv_id":"1802.09568","doi":"10.48550/arxiv.1802.09568","metadata_source":"pith","pith_arxiv_id":"1802.09568","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Shampoo: Preconditioned Stochastic Tensor Optimization","venue":"cs.LG","work_id":"85339699-854e-4bf1-aa39-0d8b72be6def","year":2018},"citing_paper":{"arxiv_id":"2606.10243","last_updated":"2026-06-08T23:13:58Z","snapshot_observed_at":"2026-08-08T13:37:35.818714Z","submitted_at":"2026-06-08T23:13:58Z","title":"DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-27T16:56:12.040446Z"},"links":{"cited_paper":"/paper/1802.09568","citing_paper":"/paper/2606.10243"},"observation_digest":"sha256:8b540860b56f8d5f8b7e19ad3d0a8f9eacd1e5caa0b9a8d7a76cb87e3a57fb7d","observation_id":"573c82ab-7204-45f4-8df2-efccc888bdc9","resolution":{"observed_at":"2026-07-03T00:57:30.129850Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1808.09781","last_updated":"2018-08-20T04:28:05Z","snapshot_observed_at":"2026-08-06T12:14:14.865658Z","submitted_at":"2018-08-20T04:28:05Z","title":"Self-Attentive Sequential Recommendation","version":1},"cited_work":{"arxiv_id":"1808.09781","doi":null,"metadata_source":"pith","pith_arxiv_id":"1808.09781","snapshot_observed_at":"2026-07-03T13:28:18.570880Z","title":"Self-Attentive Sequential Recommendation","venue":"cs.IR","work_id":"317b2568-8785-42ff-bde1-a6e93459fd28","year":2018},"citing_paper":{"arxiv_id":"2606.10243","last_updated":"2026-06-08T23:13:58Z","snapshot_observed_at":"2026-08-08T13:37:35.818714Z","submitted_at":"2026-06-08T23:13:58Z","title":"DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-27T16:56:12.040446Z"},"links":{"cited_paper":"/paper/1808.09781","citing_paper":"/paper/2606.10243"},"observation_digest":"sha256:6b0712d3a75196d5eca542765dc5102473a5a51ea9e208123e72f83553d12e50","observation_id":"89c20a36-03b0-44af-ae47-db1c084baff2","resolution":{"observed_at":"2026-07-03T00:57:30.138124Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.08030","last_updated":"2019-04-17T00:39:24Z","snapshot_observed_at":"2026-08-08T13:38:05.328520Z","submitted_at":"2019-04-17T00:39:24Z","title":"Multi-Interest Network with Dynamic Routing for Recommendation at Tmall","version":1},"cited_work":{"arxiv_id":"1904.08030","doi":null,"metadata_source":"pith","pith_arxiv_id":"1904.08030","snapshot_observed_at":"2026-07-03T00:57:30.123080Z","title":"Multi-Interest Network with Dynamic Routing for Recommendation at Tmall","venue":"cs.IR","work_id":"70de7705-4686-45f0-9364-ff6dacaae89f","year":2019},"citing_paper":{"arxiv_id":"2606.10243","last_updated":"2026-06-08T23:13:58Z","snapshot_observed_at":"2026-08-08T13:37:35.818714Z","submitted_at":"2026-06-08T23:13:58Z","title":"DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-27T16:56:12.040446Z"},"links":{"cited_paper":"/paper/1904.08030","citing_paper":"/paper/2606.10243"},"observation_digest":"sha256:245fed66046acff8c8174700d394f62ae1d074cd3eab8570d2c3f0d6b0d83d12","observation_id":"12fb8133-9627-4d05-b340-b435d15b106d","resolution":{"observed_at":"2026-07-03T00:57:30.124405Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"9618.359196","doi":"10.1145/3539618.3591960","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Can generative llms create query variants for test collections? an exploratory study","venue":null,"work_id":"9d452979-0183-4706-b053-cc52a12be1c3","year":1930},"citing_paper":{"arxiv_id":"2606.10243","last_updated":"2026-06-08T23:13:58Z","snapshot_observed_at":"2026-08-08T13:37:35.818714Z","submitted_at":"2026-06-08T23:13:58Z","title":"DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-27T16:56:12.040446Z"},"links":{"citing_paper":"/paper/2606.10243"},"observation_digest":"sha256:6d2382dc001657f6fbec93b1bac693a9ac5d4f83ba73bcee3dc87c1d2bd18649","observation_id":"797d154e-6487-4978-8e32-6364dce2f2ec","resolution":{"observed_at":"2026-06-27T17:01:07.885363Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.16698","last_updated":"2025-06-20T02:40:38Z","snapshot_observed_at":"2026-08-06T23:36:04.684748Z","submitted_at":"2025-06-20T02:40:38Z","title":"SIDE: Semantic ID Embedding for effective learning from sequences","version":1},"cited_work":{"arxiv_id":"2506.16698","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.16698","snapshot_observed_at":"2026-07-03T00:57:30.110941Z","title":"arXiv:2506.16698 [cs.LG] https://arxiv.org/abs/2506.16698 Sohini Roychowdhury, Doris Wang, Qian Ge, Joy Mu, and Srihari Reddy","venue":null,"work_id":"7ea9df02-3cae-4cac-8304-95ddb598346a","year":2025},"citing_paper":{"arxiv_id":"2606.10243","last_updated":"2026-06-08T23:13:58Z","snapshot_observed_at":"2026-08-08T13:37:35.818714Z","submitted_at":"2026-06-08T23:13:58Z","title":"DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-27T16:56:12.040446Z"},"links":{"cited_paper":"/paper/2506.16698","citing_paper":"/paper/2606.10243"},"observation_digest":"sha256:2b13b0b9597cedc2b7a8bb7846bce495cbe8a3c66481521204f0f24b6a590c97","observation_id":"5bad6d52-3eaa-481a-b31e-c1b3f150987c","resolution":{"observed_at":"2026-07-03T00:57:30.112736Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2601.02807","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-03T00:57:30.113937Z","title":null,"venue":null,"work_id":"364bc7bc-111f-47d6-bf9a-89b3bfff5a54","year":null},"citing_paper":{"arxiv_id":"2606.10243","last_updated":"2026-06-08T23:13:58Z","snapshot_observed_at":"2026-08-08T13:37:35.818714Z","submitted_at":"2026-06-08T23:13:58Z","title":"DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-27T16:56:12.040446Z"},"links":{"citing_paper":"/paper/2606.10243"},"observation_digest":"sha256:250e61eab5fcca1db57a5aa56759a4f2bfca789b419f34a0e236e14efe7f8ecf","observation_id":"d1a1932e-29df-46d6-8cb2-bf25918f72e6","resolution":{"observed_at":"2026-07-03T00:57:30.115961Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2101.11427","last_updated":"2021-11-02T12:24:26Z","snapshot_observed_at":"2026-07-06T10:36:07.769699Z","submitted_at":"2021-01-27T14:17:55Z","title":"One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction","version":5},"cited_work":{"arxiv_id":"2101.11427","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2101.11427","snapshot_observed_at":"2026-07-03T00:57:30.093581Z","title":"arXiv:2101.11427 [cs.IR]https://arxiv.org/abs/2101.11427 Alex Shtoff, Yohay Kaplan, and Ariel Raviv","venue":null,"work_id":"470720db-348c-4931-87be-f7aebdb063a4","year":null},"citing_paper":{"arxiv_id":"2606.10243","last_updated":"2026-06-08T23:13:58Z","snapshot_observed_at":"2026-08-08T13:37:35.818714Z","submitted_at":"2026-06-08T23:13:58Z","title":"DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-27T16:56:12.040446Z"},"links":{"cited_paper":"/paper/2101.11427","citing_paper":"/paper/2606.10243"},"observation_digest":"sha256:f8d022813533d0f872e928ef595b260a499cfc1c9cb7c4014e55f5db9a69c5c9","observation_id":"e6813d1e-7552-4f36-9cdc-5d39161396cb","resolution":{"observed_at":"2026-07-03T00:57:30.095018Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"9044.2023","doi":"10.1109/bigdata59044.2023","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Zortea, J","venue":null,"work_id":"66358e06-af36-44ff-9cfc-232cd8e92c89","year":2023},"citing_paper":{"arxiv_id":"2606.10243","last_updated":"2026-06-08T23:13:58Z","snapshot_observed_at":"2026-08-08T13:37:35.818714Z","submitted_at":"2026-06-08T23:13:58Z","title":"DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-27T16:56:12.040446Z"},"links":{"citing_paper":"/paper/2606.10243"},"observation_digest":"sha256:05f5abda1ffc5ba1f8efc08fb0813918d2c3ddb5ad866d672251a32c3092325e","observation_id":"0296b71d-c1d6-4921-8581-8e76d86d5139","resolution":{"observed_at":"2026-06-27T17:01:07.880255Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.05700","last_updated":"2025-08-11T23:31:12Z","snapshot_observed_at":"2026-08-05T23:39:54.032590Z","submitted_at":"2025-08-07T00:31:20Z","title":"Multi-Faceted Large Embedding Tables for Pinterest Ads Ranking","version":2},"cited_work":{"arxiv_id":"2508.05700","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.05700","snapshot_observed_at":"2026-07-03T00:57:30.098519Z","title":null,"venue":null,"work_id":"714a2f7b-e95a-40da-9877-3facd1515716","year":null},"citing_paper":{"arxiv_id":"2606.10243","last_updated":"2026-06-08T23:13:58Z","snapshot_observed_at":"2026-08-08T13:37:35.818714Z","submitted_at":"2026-06-08T23:13:58Z","title":"DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-27T16:56:12.040446Z"},"links":{"cited_paper":"/paper/2508.05700","citing_paper":"/paper/2606.10243"},"observation_digest":"sha256:4460b489f0f894997dc608fcbc316f19b731ebf9c22bd0d2cc4c1c9d38e43bb8","observation_id":"ca543ee3-0dd3-493c-875a-adcda86fabef","resolution":{"observed_at":"2026-07-03T00:57:30.100097Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.05898","last_updated":"2024-06-23T05:43:41Z","snapshot_observed_at":"2026-08-12T23:46:52.319473Z","submitted_at":"2024-06-09T19:35:20Z","title":"Async Learned User Embeddings for Ads Delivery Optimization","version":2},"cited_work":{"arxiv_id":"2406.05898","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.05898","snapshot_observed_at":"2026-07-04T03:19:30.137306Z","title":"Async learned user embeddings for ads delivery optimization,","venue":null,"work_id":"275872c2-1ff3-4f08-870a-a61b93f5a772","year":2024},"citing_paper":{"arxiv_id":"2606.10243","last_updated":"2026-06-08T23:13:58Z","snapshot_observed_at":"2026-08-08T13:37:35.818714Z","submitted_at":"2026-06-08T23:13:58Z","title":"DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-27T16:56:12.040446Z"},"links":{"cited_paper":"/paper/2406.05898","citing_paper":"/paper/2606.10243"},"observation_digest":"sha256:4895f5c3aad3bdb03b76c28ec5fddf1f19c5ebda73443dea8488fcdc75537047","observation_id":"2b88b395-6c92-468c-ae96-22799be4f8b7","resolution":{"observed_at":"2026-07-03T00:57:30.130952Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.15493","last_updated":"2023-11-27T02:30:39Z","snapshot_observed_at":"2026-08-13T05:17:25.381786Z","submitted_at":"2023-11-27T02:30:39Z","title":"UFIN: Universal Feature Interaction Network for Multi-Domain Click-Through Rate Prediction","version":1},"cited_work":{"arxiv_id":"2311.15493","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.15493","snapshot_observed_at":"2026-07-03T00:57:30.117133Z","title":"arXiv:2311.15493 [cs.IR]https: //arxiv.org/abs/2311.15493 Hao Wang, Tai-Wei Chang, Tianqiao Liu, Jianmin Huang, Zhichao Chen, Chao Yu, Ruopeng Li, and Wei Chu","venue":null,"work_id":"5d67032f-3729-46f8-9919-d10841574ec4","year":null},"citing_paper":{"arxiv_id":"2606.10243","last_updated":"2026-06-08T23:13:58Z","snapshot_observed_at":"2026-08-08T13:37:35.818714Z","submitted_at":"2026-06-08T23:13:58Z","title":"DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-27T16:56:12.040446Z"},"links":{"cited_paper":"/paper/2311.15493","citing_paper":"/paper/2606.10243"},"observation_digest":"sha256:1706bf3d2652100a55abeefdf1c8be847512c81d40bd2d7234083690a672d423","observation_id":"9bf7202b-b622-464b-b5d2-aa0d96f9f99a","resolution":{"observed_at":"2026-07-03T00:57:30.118955Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"7495.353197","doi":"10.1145/3477495.3531972","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"InProceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’22)","venue":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","work_id":"c54b5ee5-2b04-457c-ad16-1ff459a177f8","year":2022},"citing_paper":{"arxiv_id":"2606.10243","last_updated":"2026-06-08T23:13:58Z","snapshot_observed_at":"2026-08-08T13:37:35.818714Z","submitted_at":"2026-06-08T23:13:58Z","title":"DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-27T16:56:12.040446Z"},"links":{"citing_paper":"/paper/2606.10243"},"observation_digest":"sha256:3d42289a267d854d05a05b15034ab6e14b13eefba6e1c521fc4cafd938b71db2","observation_id":"9666e87f-4a16-4753-9873-84285c970f73","resolution":{"observed_at":"2026-06-27T17:01:07.869996Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"0457.368814","doi":"10.1145/3640457.3688142","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Proceedings of the 18th ACM Conference on Recommender Systems , pages =","venue":null,"work_id":"f3fa96f7-98f2-41a5-b966-35cf8e57e7c8","year":2024},"citing_paper":{"arxiv_id":"2606.10243","last_updated":"2026-06-08T23:13:58Z","snapshot_observed_at":"2026-08-08T13:37:35.818714Z","submitted_at":"2026-06-08T23:13:58Z","title":"DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-27T16:56:12.040446Z"},"links":{"citing_paper":"/paper/2606.10243"},"observation_digest":"sha256:4e2b7cfaa3053664d96cd62a35898b19ead12c8c2030a14accb43a765ac982f0","observation_id":"7b4851bd-d275-41f3-87ae-c25e42995dc8","resolution":{"observed_at":"2026-06-27T17:01:07.872577Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1708.05123","last_updated":"2017-08-17T03:28:04Z","snapshot_observed_at":"2026-08-12T16:30:18.021384Z","submitted_at":"2017-08-17T03:28:04Z","title":"Deep & Cross Network for Ad Click Predictions","version":1},"cited_work":{"arxiv_id":"1708.05123","doi":null,"metadata_source":"pith","pith_arxiv_id":"1708.05123","snapshot_observed_at":"2026-07-03T00:57:30.095807Z","title":"Deep & Cross Network for Ad Click Predictions","venue":"cs.LG","work_id":"7a055c9b-ae31-474a-a0e7-5529ec811a86","year":2017},"citing_paper":{"arxiv_id":"2606.10243","last_updated":"2026-06-08T23:13:58Z","snapshot_observed_at":"2026-08-08T13:37:35.818714Z","submitted_at":"2026-06-08T23:13:58Z","title":"DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-27T16:56:12.040446Z"},"links":{"cited_paper":"/paper/1708.05123","citing_paper":"/paper/2606.10243"},"observation_digest":"sha256:92b5bfa8c2e5e148da2057ee792cda3630db851675313fe589a617f69b08771a","observation_id":"01503f3e-6e7f-4302-82ff-7433aa0d7a72","resolution":{"observed_at":"2026-07-03T00:57:30.097185Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2381.345007","doi":"10.1145/3442381.3450075","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Dcn v2: Improved deep & cross network and practical lessons for web-scale learning to rank systems","venue":null,"work_id":"cd20c22f-8c38-492f-b172-45bfeb50bce0","year":2021},"citing_paper":{"arxiv_id":"2606.10243","last_updated":"2026-06-08T23:13:58Z","snapshot_observed_at":"2026-08-08T13:37:35.818714Z","submitted_at":"2026-06-08T23:13:58Z","title":"DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-27T16:56:12.040446Z"},"links":{"citing_paper":"/paper/2606.10243"},"observation_digest":"sha256:685adf7ac54e075a07cb941abef3ced55d55790be204e99f8629355876275335","observation_id":"6f93f327-4664-4036-ac6f-46ae7a6caae1","resolution":{"observed_at":"2026-06-27T17:01:07.887823Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"5328.374804","doi":"10.1145/3705328.3748044","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"InProceedings of the Nineteenth ACM Conference on Recommender Systems (RecSys ’25)","venue":null,"work_id":"30321248-ece7-449e-958f-775557a06073","year":2025},"citing_paper":{"arxiv_id":"2606.10243","last_updated":"2026-06-08T23:13:58Z","snapshot_observed_at":"2026-08-08T13:37:35.818714Z","submitted_at":"2026-06-08T23:13:58Z","title":"DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-27T16:56:12.040446Z"},"links":{"citing_paper":"/paper/2606.10243"},"observation_digest":"sha256:4756e2f4f66540cc936030366e5915f817cd3316ce94a4220131478f9ad0d948","observation_id":"7804d201-6b6d-4b10-856b-f0b7dbcb8e8b","resolution":{"observed_at":"2026-06-27T17:01:07.875220Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.00999","last_updated":"2022-06-21T03:55:19Z","snapshot_observed_at":"2026-07-06T12:14:28.455694Z","submitted_at":"2021-12-02T06:16:51Z","title":"Contrastive Cross-domain Recommendation in Matching","version":2},"cited_work":{"arxiv_id":"2112.00999","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2112.00999","snapshot_observed_at":"2026-07-03T00:57:30.133958Z","title":null,"venue":null,"work_id":"dc54a518-995c-40f2-ae92-ff417ac30248","year":null},"citing_paper":{"arxiv_id":"2606.10243","last_updated":"2026-06-08T23:13:58Z","snapshot_observed_at":"2026-08-08T13:37:35.818714Z","submitted_at":"2026-06-08T23:13:58Z","title":"DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-27T16:56:12.040446Z"},"links":{"cited_paper":"/paper/2112.00999","citing_paper":"/paper/2606.10243"},"observation_digest":"sha256:4b6ecf34d68ee4a28616251538aad7a6dc2ba29f93b20c0e40a8aef9753a3008","observation_id":"7423164d-41a6-4ca0-a37f-08c5fad587d3","resolution":{"observed_at":"2026-07-03T00:57:30.135463Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2601.20083","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-03T00:57:30.105037Z","title":"arXiv:2601.20083 [cs.IR]https://arxiv.org/ abs/2601.20083 Zitao Xu, Weike Pan, and Zhong Ming","venue":null,"work_id":"1d9780f3-4d53-4144-8180-da3ace16c931","year":2026},"citing_paper":{"arxiv_id":"2606.10243","last_updated":"2026-06-08T23:13:58Z","snapshot_observed_at":"2026-08-08T13:37:35.818714Z","submitted_at":"2026-06-08T23:13:58Z","title":"DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-27T16:56:12.040446Z"},"links":{"citing_paper":"/paper/2606.10243"},"observation_digest":"sha256:2bf438052db826baa12be8c6629c8ac3151b6da68ad3deb090d9c6ecffd690d2","observation_id":"ec562301-d474-44f2-b2c4-b5c4e9fa6091","resolution":{"observed_at":"2026-07-03T00:57:30.106719Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"4915.36087","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-03T00:57:30.120053Z","title":"InProceedings of the 17th ACM Conference on Recommender Systems(Singapore, Singapore)(RecSys ’23)","venue":null,"work_id":"89966a0d-bb7f-492b-889c-9da930ac5b00","year":null},"citing_paper":{"arxiv_id":"2606.10243","last_updated":"2026-06-08T23:13:58Z","snapshot_observed_at":"2026-08-08T13:37:35.818714Z","submitted_at":"2026-06-08T23:13:58Z","title":"DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-27T16:56:12.040446Z"},"links":{"citing_paper":"/paper/2606.10243"},"observation_digest":"sha256:b1c509ea9105c9cd9b5cb3c403ea9aa927dceee80e619c539dfacd498b380ab5","observation_id":"7cebea20-1e49-45bc-97da-f6ce217e71d8","resolution":{"observed_at":"2026-07-03T00:57:30.121789Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"9335.364830","doi":"10.1145/3589335.3648301","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Scaling user modeling: Large-scale online user representations for ads personalization in meta","venue":null,"work_id":"21706eb1-e2fb-47e8-8005-a1801d4338ef","year":2024},"citing_paper":{"arxiv_id":"2606.10243","last_updated":"2026-06-08T23:13:58Z","snapshot_observed_at":"2026-08-08T13:37:35.818714Z","submitted_at":"2026-06-08T23:13:58Z","title":"DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-27T16:56:12.040446Z"},"links":{"citing_paper":"/paper/2606.10243"},"observation_digest":"sha256:45da7d4a9698ff577961d6880bb3e9a4f85be513717d7fa1d1b5c74ed5b153fa","observation_id":"923c58a4-e6e4-49a8-bfb3-af1dce19e77c","resolution":{"observed_at":"2026-06-27T17:01:07.867213Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.05031","last_updated":"2023-02-10T03:08:37Z","snapshot_observed_at":"2026-07-06T14:50:19.249541Z","submitted_at":"2023-02-10T03:08:37Z","title":"Feature Decomposition for Reducing Negative Transfer: A Novel Multi-task Learning Method for Recommender System","version":1},"cited_work":{"arxiv_id":"2302.05031","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2302.05031","snapshot_observed_at":"2026-07-03T00:57:30.107990Z","title":"arXiv:2302.05031 [cs.IR]https://arxiv.org/abs/2302.05031 14 Jiajie Zhu, Yan Wang, Feng Zhu, and Zhu Sun","venue":null,"work_id":"9846f7ae-3afd-4363-b4ab-d936143649e2","year":null},"citing_paper":{"arxiv_id":"2606.10243","last_updated":"2026-06-08T23:13:58Z","snapshot_observed_at":"2026-08-08T13:37:35.818714Z","submitted_at":"2026-06-08T23:13:58Z","title":"DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-27T16:56:12.040446Z"},"links":{"cited_paper":"/paper/2302.05031","citing_paper":"/paper/2606.10243"},"observation_digest":"sha256:a680bdd18dc26456b4bf0d8d1525c49db0a1164c7b86ce47e813ec041c716bee","observation_id":"19c505b4-1bea-404f-a6d1-aaaa24ffb381","resolution":{"observed_at":"2026-07-03T00:57:30.109709Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"4915.360880","doi":"10.1145/3604915.3608802","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Association for Computing Machinery, New York, NY, USA, p 640–651, doi:10.1145/3604915.3608805","venue":null,"work_id":"ffad2092-e338-4abe-a4d8-3589a7a7065c","year":2018},"citing_paper":{"arxiv_id":"2606.10243","last_updated":"2026-06-08T23:13:58Z","snapshot_observed_at":"2026-08-08T13:37:35.818714Z","submitted_at":"2026-06-08T23:13:58Z","title":"DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-27T16:56:12.040446Z"},"links":{"citing_paper":"/paper/2606.10243"},"observation_digest":"sha256:ce1dd1ae8960a3373aa3c362640c99ab404db90c8eade3218dc7b25f4a2e8e37","observation_id":"2fc43cbe-a641-4f51-9a08-5a652f2f837b","resolution":{"observed_at":"2026-06-27T17:01:07.877721Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2606.10243","last_updated":"2026-06-08T23:13:58Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-08T13:37:35.818714Z","submitted_at":"2026-06-08T23:13:58Z","title":"DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction"},"reference_resolution":{"displayed":27,"state_counts":{"malformed_identifier":1,"metadata_mismatch":12,"parse_uncertain":0,"unresolved":0,"verified_exact":14,"verified_fuzzy":0},"total_outbound_references":27},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2606.10243."}