{"as_of":"2026-08-11T11:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:42d974f54061d24fcfca71dac01c3dc02a44c2294e512eb761e65a67410f65ae","coverage":[{"denominator":105,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T16:21:30.406060Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+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/2501.13344/citation-record","integrity":"/paper/2501.13344/integrity","json":"/paper/2501.13344/citation-record.json","paper":"/paper/2501.13344"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.23136","last_updated":"2024-10-30T15:48:36Z","snapshot_observed_at":"2026-08-10T16:38:19.488653Z","submitted_at":"2024-10-30T15:48:36Z","title":"Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning","version":1},"cited_work":{"arxiv_id":"2410.23136","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.23136","snapshot_observed_at":"2026-08-10T16:21:31.054121Z","title":"Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning","venue":"cs.IR","work_id":"0fd10c4f-805f-41ed-b34e-266f5c2eb714","year":2024},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.147051Z"},"links":{"cited_paper":"/paper/2410.23136","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:c744db2328595bcde4875ccb40cfdbdc77750b5d250015b8503a55ddb0be27a3","observation_id":"909fa772-15b0-479d-9e62-d8544de4c8b6","resolution":{"observed_at":"2026-08-10T16:21:31.057774Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.00447","last_updated":"2023-10-17T13:29:42Z","snapshot_observed_at":"2026-08-11T01:53:53.234810Z","submitted_at":"2023-04-30T10:55:56Z","title":"TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.00447","snapshot_observed_at":"2026-08-10T16:21:30.150513Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.150513Z"},"links":{"cited_paper":"/paper/2305.00447","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:df083480ca40dd4020e3964c88f3a217fe5715c5d950cdbd8658a367bdc1c2c9","observation_id":"fd1f6d6b-f5be-44d5-8d3c-500f60f3d490","resolution":{"observed_at":"2026-08-10T16:21:30.150513Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.06280","last_updated":"2023-04-22T10:03:23Z","snapshot_observed_at":"2026-08-11T06:22:51.193231Z","submitted_at":"2022-10-12T15:03:28Z","title":"Language Models are Realistic Tabular Data Generators","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.06280","snapshot_observed_at":"2026-08-10T16:21:30.153506Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.153506Z"},"links":{"cited_paper":"/paper/2210.06280","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:4f42c796f5ffecded4d53d0b300bcffd3a4185183a4357944814ab2ee9abe9a8","observation_id":"c8dc122d-5a01-4d3f-8ecd-bedc0addbcdb","resolution":{"observed_at":"2026-08-10T16:21:30.153506Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.156707Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.156707Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:ea0e6bd55bcd455ce20016d34d7bd4016498a091afcef51a374dece9db84ab80","observation_id":"065a21a6-2aa9-4cf3-8af0-22acdfc74fbb","resolution":{"observed_at":"2026-08-10T16:21:30.156707Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.05973","last_updated":"2024-05-23T05:53:39Z","snapshot_observed_at":"2026-08-11T00:09:01.860660Z","submitted_at":"2023-05-10T08:30:31Z","title":"Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.05973","snapshot_observed_at":"2026-08-10T16:21:30.159534Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.159534Z"},"links":{"cited_paper":"/paper/2305.05973","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:edfd2996aad46b22c276f85fd73476da10b4f30aa652bb97e15f2b66cb0ff6cb","observation_id":"f2e3f407-7908-4b41-8f53-f361c34a0b0d","resolution":{"observed_at":"2026-08-10T16:21:30.159534Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.162609Z","title":null,"venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.162609Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:e25904b28a9ed871a13e7ed8bd398bc5db39312302f31f416c668d4eb3927edb","observation_id":"ae39d13c-9d90-4513-ab37-18a64e44332e","resolution":{"observed_at":"2026-08-10T16:21:30.162609Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.165579Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.165579Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:84f94a82982258977900aa64034cd0bc0dca29ca35249d5ddac9205fca0aed9f","observation_id":"76dc4ecf-0f1a-4366-a829-9bcad07c1fe2","resolution":{"observed_at":"2026-08-10T16:21:30.165579Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.07622","last_updated":"2023-06-07T17:55:58Z","snapshot_observed_at":"2026-08-10T12:16:47.854183Z","submitted_at":"2023-05-12T17:21:33Z","title":"PALR: Personalization Aware LLMs for Recommendation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.07622","snapshot_observed_at":"2026-08-10T16:21:30.168481Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.168481Z"},"links":{"cited_paper":"/paper/2305.07622","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:f04f478ce5f049f42424e090e0d5998a8eed75ed6307eb02c77c5327ff971b84","observation_id":"0b877a7d-e0e1-4d8e-a3cb-8c79499741a7","resolution":{"observed_at":"2026-08-10T16:21:30.168481Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.171207Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.171207Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:7443c5e3a6744149904d03f8342faa3a5409fd8316e50d172b69ac4b30e89fea","observation_id":"cad23bc0-9e70-4f63-bed8-55d22d7a9672","resolution":{"observed_at":"2026-08-10T16:21:30.171207Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.173627Z","title":"Gonzalez, Ion Stoica, and Eric P","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.173627Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:e11fc6754ae04ce168d51b253cb89d6e44e2d341fc4f10c4255dd7c2eefa72c3","observation_id":"a4f3c233-e820-4008-a057-6c09cc639f1a","resolution":{"observed_at":"2026-08-10T16:21:30.173627Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.15498","last_updated":"2023-05-24T18:40:43Z","snapshot_observed_at":"2026-08-09T22:37:22.213135Z","submitted_at":"2023-05-24T18:40:43Z","title":"Large Language Models for User Interest Journeys","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.15498","snapshot_observed_at":"2026-08-10T16:21:30.176367Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.176367Z"},"links":{"cited_paper":"/paper/2305.15498","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:6e5049c1062d2aa21bfcead6be6bc35265756f8d9d04af41cc6d3058fa08c285","observation_id":"bef4b3e2-c0ef-405e-80c0-67dc4f3a6d71","resolution":{"observed_at":"2026-08-10T16:21:30.176367Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.3555","last_updated":"2014-12-11T06:46:53Z","snapshot_observed_at":"2026-08-10T04:10:43.257455Z","submitted_at":"2014-12-11T06:46:53Z","title":"Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.3555","snapshot_observed_at":"2026-08-10T16:21:30.178781Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.178781Z"},"links":{"cited_paper":"/paper/1412.3555","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:15f370505e4ba02c94d6b936a277d9a6000d1b64b71f469fa0499b4596eaabf0","observation_id":"0fd2aaa1-f4d8-4dbc-90c7-5563f3cfaebd","resolution":{"observed_at":"2026-08-10T16:21:30.178781Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.08084","last_updated":"2022-05-19T06:50:31Z","snapshot_observed_at":"2026-08-09T13:22:27.516998Z","submitted_at":"2022-05-17T04:13:42Z","title":"M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.08084","snapshot_observed_at":"2026-08-10T16:21:30.181195Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.181195Z"},"links":{"cited_paper":"/paper/2205.08084","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:d901209165b560cf67fbfeb1d0511058580f73fb983bcf8816a2dc95190b40df","observation_id":"a1bacc0b-6097-4361-8e73-77f378b4b1e3","resolution":{"observed_at":"2026-08-10T16:21:30.181195Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.183943Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.183943Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:8dbd799a202c17942dcb78934a7c0956497d9e7825dd369df2fc7fe269a1ca38","observation_id":"f00c27a6-4e4d-4efa-85b3-b6de237fab35","resolution":{"observed_at":"2026-08-10T16:21:30.183943Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.188883Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.188883Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:83024128b3cc89956b0ac23e081e876ea52bb7a03e039eff7fa1fe3b0c2a83b5","observation_id":"d8bdb460-bcc2-4079-a7c8-f09ee427999a","resolution":{"observed_at":"2026-08-10T16:21:30.188883Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1810.04805","last_updated":"2019-05-24T20:37:26Z","snapshot_observed_at":"2026-07-30T09:12:38.100527Z","submitted_at":"2018-10-11T00:50:01Z","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.04805","snapshot_observed_at":"2026-08-10T16:21:30.191219Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.191219Z"},"links":{"cited_paper":"/paper/1810.04805","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:03adf22d558accc1db21f32e05763eb11e9de4b58d09bb136443cf3704d675a8","observation_id":"a1329b5c-0d59-4a18-a133-294fc1363448","resolution":{"observed_at":"2026-08-10T16:21:30.191219Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.15036","last_updated":"2023-12-08T13:08:34Z","snapshot_observed_at":"2026-07-06T15:32:25.931739Z","submitted_at":"2023-05-24T11:23:31Z","title":"Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights","version":2},"cited_work":{"arxiv_id":"2305.15036","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.15036","snapshot_observed_at":"2026-08-10T16:21:30.973492Z","title":"Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights","venue":"cs.IR","work_id":"747a9820-5f2a-4e9d-beef-1fc8b1126842","year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.193379Z"},"links":{"cited_paper":"/paper/2305.15036","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:808df7b9e8adf154e0e9403f1d7bc6a518bc0eb8d38872068d02d2ff4342ad1a","observation_id":"e833b2c3-fb71-4b6e-a8e9-c8263f888635","resolution":{"observed_at":"2026-08-10T16:21:30.977055Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.195679Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.195679Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:4959d8d8c304e08f11dd9c07401cf4341f32dfef15a793d85630a12c2f57b6a9","observation_id":"9676728c-b00d-4d02-bcaa-fe3dfa1c1368","resolution":{"observed_at":"2026-08-10T16:21:30.195679Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.200581Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.200581Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:080cc2e4db1d336b7e8f7eb97d06876fb85ec890297074fff88f991dd2049481","observation_id":"32dd4035-737a-448b-b5a2-99d05c8b9278","resolution":{"observed_at":"2026-08-10T16:21:30.200581Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.14302","last_updated":"2023-10-14T18:09:31Z","snapshot_observed_at":"2026-08-07T15:14:44.072999Z","submitted_at":"2023-05-23T17:43:46Z","title":"VIP5: Towards Multimodal Foundation Models for Recommendation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.14302","snapshot_observed_at":"2026-08-10T16:21:30.202763Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.202763Z"},"links":{"cited_paper":"/paper/2305.14302","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:fd2c3fd8108375eb46795c21c73a7e52cb275e80d8b2332d25164905011d202c","observation_id":"3082b13b-9885-41aa-87db-f5d2c5bf9e91","resolution":{"observed_at":"2026-08-10T16:21:30.202763Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.205014Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.205014Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:8d8692bb70012a3e11223296c04ef87b56f3dfc6c2ed0eb3e46b9fc621943aed","observation_id":"7d14bf34-91f1-4ad6-8156-81da2cd96fee","resolution":{"observed_at":"2026-08-10T16:21:30.205014Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.207475Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.207475Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:4beac052050ca0c5d9dcb2054a5c2b0265cd4b0d878e5e51a7f60703b102a5e8","observation_id":"448c0d90-4256-4b71-9135-21054da9357f","resolution":{"observed_at":"2026-08-10T16:21:30.207475Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.209766Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.209766Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:bc0cc6a7f7ba995f28ee66b6c924b175ab3980178063765b69859e668b706dde","observation_id":"c0220395-9b20-473c-8a67-ead883c4c24b","resolution":{"observed_at":"2026-08-10T16:21:30.209766Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.211998Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.211998Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:ccc9b1fbf33ed0622a83ec563b68386a2583f2c10c929c4d9b777aa9d34a5747","observation_id":"9a81e82b-2e80-4b29-91f7-b9586fddffdb","resolution":{"observed_at":"2026-08-10T16:21:30.211998Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.214161Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.214161Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:e93ceb356e27ecb3c964229f6e4f7d959b9460bede657e69d4a05523d63498bc","observation_id":"c8c59b6d-c72d-46f2-b6e8-88fb641f8dd6","resolution":{"observed_at":"2026-08-10T16:21:30.214161Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.08845","last_updated":"2024-01-24T04:41:01Z","snapshot_observed_at":"2026-08-03T08:37:41.407456Z","submitted_at":"2023-05-15T17:57:39Z","title":"Large Language Models are Zero-Shot Rankers for Recommender Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.08845","snapshot_observed_at":"2026-08-10T16:21:30.216504Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.216504Z"},"links":{"cited_paper":"/paper/2305.08845","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:f8ba3c772721b2805d7e84e20ebdb5667d1bced59ff3aeda27a6656d2d9fc00c","observation_id":"de72baaa-54a9-4ae1-bdb3-3c5d1d809825","resolution":{"observed_at":"2026-08-10T16:21:30.216504Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.218895Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.218895Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:34b7894fe6c9c762462172fac41e7de38d591f8b1d49ffaef6c158a02823ad39","observation_id":"f63a4403-1848-4bb8-81a9-0d10580850b0","resolution":{"observed_at":"2026-08-10T16:21:30.218895Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.12090","last_updated":"2024-05-29T16:46:47Z","snapshot_observed_at":"2026-07-06T15:29:57.940337Z","submitted_at":"2023-05-20T04:32:59Z","title":"UP5: Unbiased Foundation Model for Fairness-aware Recommendation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.12090","snapshot_observed_at":"2026-08-10T16:21:30.223204Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.223204Z"},"links":{"cited_paper":"/paper/2305.12090","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:ad223091e18ab60051405b3cfcc0524bc67406479b527d376b4674eeffa419b9","observation_id":"512f701b-5513-4ed2-a6bd-5ad863a8f67e","resolution":{"observed_at":"2026-08-10T16:21:30.223204Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.06569","last_updated":"2023-09-26T01:40:11Z","snapshot_observed_at":"2026-08-09T16:21:32.340717Z","submitted_at":"2023-05-11T05:02:37Z","title":"How to Index Item IDs for Recommendation Foundation Models","version":6},"cited_work":{"arxiv_id":"2305.06569","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.06569","snapshot_observed_at":"2026-08-10T16:21:30.930197Z","title":"How to Index Item IDs for Recommendation Foundation Models","venue":"cs.IR","work_id":"c70a3625-3d56-4982-bfc0-bf5d0cf935a5","year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.225922Z"},"links":{"cited_paper":"/paper/2305.06569","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:71064c86ac23c44c2c9d81bd7c6b83c55e40f6072b97381eac03e2ca8cc1ccf6","observation_id":"53e21a91-0341-4525-82f0-255655db1b60","resolution":{"observed_at":"2026-08-10T16:21:30.934167Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06825","last_updated":"2023-10-10T17:54:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-10-10T17:54:58Z","title":"Mistral 7B","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06825","snapshot_observed_at":"2026-08-10T16:21:30.228119Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.228119Z"},"links":{"cited_paper":"/paper/2310.06825","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:129f7bcaa2de3deba1ca8e86bfbbe5c642c49bc03c6f3095cd6da6ea4a71f629","observation_id":"2aac5d3f-bd74-4859-a62b-62eef736e73b","resolution":{"observed_at":"2026-08-10T16:21:30.228119Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.230151Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.230151Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:1c6c23773fa9d903c70ef9fb2c59f337a6c148128c421d92a3494e8544f3a540","observation_id":"21fd9d5f-2701-44d3-b4fc-f12f7a573875","resolution":{"observed_at":"2026-08-10T16:21:30.230151Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.06474","last_updated":"2023-05-10T21:43:42Z","snapshot_observed_at":"2026-08-10T16:51:10.162812Z","submitted_at":"2023-05-10T21:43:42Z","title":"Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.06474","snapshot_observed_at":"2026-08-10T16:21:30.232082Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.232082Z"},"links":{"cited_paper":"/paper/2305.06474","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:bff7124fd9e733dd49636eb25e85c6fef977f44cd477acced6f6911fa58120c1","observation_id":"7fcf9f3e-d763-44ed-9935-fd342d4ed244","resolution":{"observed_at":"2026-08-10T16:21:30.232082Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10159","last_updated":"2025-01-21T03:40:14Z","snapshot_observed_at":"2026-08-08T01:51:22.012491Z","submitted_at":"2024-08-19T17:09:32Z","title":"Customizing Language Models with Instance-wise LoRA for Sequential Recommendation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.10159","snapshot_observed_at":"2026-08-10T16:21:30.234139Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.234139Z"},"links":{"cited_paper":"/paper/2408.10159","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:69c94b896cecd28b7c004cb9633056b48dd7727c018bd12a6e3e130316739b93","observation_id":"f70c827d-d317-4700-a227-1eec2e49ac3c","resolution":{"observed_at":"2026-08-10T16:21:30.234139Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.03022","last_updated":"2023-04-06T12:17:46Z","snapshot_observed_at":"2026-08-03T22:18:37.954213Z","submitted_at":"2023-04-06T12:17:46Z","title":"TagGPT: Large Language Models are Zero-shot Multimodal Taggers","version":1},"cited_work":{"arxiv_id":"2304.03022","doi":null,"metadata_source":"pith","pith_arxiv_id":"2304.03022","snapshot_observed_at":"2026-08-10T16:21:30.892354Z","title":"TagGPT: Large Language Models are Zero-shot Multimodal Taggers","venue":"cs.IR","work_id":"532e9fbe-2311-4bb9-ac84-ec598bca3f54","year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.236333Z"},"links":{"cited_paper":"/paper/2304.03022","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:0ce7f1809f65d395c6f60cd61d0266062d86aec0f88e9585bfd655e7a5cca42b","observation_id":"8a7b9858-eb80-43ec-9c86-462e65a9146f","resolution":{"observed_at":"2026-08-10T16:21:30.895834Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.13731","last_updated":"2023-05-26T22:30:57Z","snapshot_observed_at":"2026-07-06T15:31:09.320113Z","submitted_at":"2023-05-23T06:35:46Z","title":"Text Is All You Need: Learning Language Representations for Sequential Recommendation","version":2},"cited_work":{"arxiv_id":"2305.13731","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.13731","snapshot_observed_at":"2026-08-10T16:21:30.879280Z","title":"Text Is All You Need: Learning Language Representations for Sequential Recommendation","venue":"cs.IR","work_id":"302d3359-7c4e-4715-8382-b6d6dd8c94da","year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.238994Z"},"links":{"cited_paper":"/paper/2305.13731","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:18cbd2d4bd64357a78196ef1dfd7b1fae7432dcab1347c2b427eda4e103002d4","observation_id":"046f3869-5ffd-425f-a2b7-b358d280e681","resolution":{"observed_at":"2026-08-10T16:21:30.882652Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.241954Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.241954Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:5c34e85522c0d591085a85b99e64146439d8947e68b98a6878e3d89f4668d50f","observation_id":"7b53420a-5d82-4828-a1ce-1597b3d457f4","resolution":{"observed_at":"2026-08-10T16:21:30.241954Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.07862","last_updated":"2023-04-16T19:03:01Z","snapshot_observed_at":"2026-08-10T10:36:14.129012Z","submitted_at":"2023-04-16T19:03:01Z","title":"PBNR: Prompt-based News Recommender System","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.07862","snapshot_observed_at":"2026-08-10T16:21:30.244769Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.244769Z"},"links":{"cited_paper":"/paper/2304.07862","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:49229f44033c832acb09b00b7a66b0d18b48f1be4954fda9ce02ade330d5127f","observation_id":"96c7a60d-209c-41a7-960e-a33f994eab92","resolution":{"observed_at":"2026-08-10T16:21:30.244769Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.247418Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.247418Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:9f2e420a070727432ab3fcfc3a161d78c06b9d18e673f0dc0716935d9ea38de8","observation_id":"f6a7efbd-0f1a-4473-8978-b84e9691765a","resolution":{"observed_at":"2026-08-10T16:21:30.247418Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.250052Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.250052Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:45555a23efdce9440694003a823a5fbaf2d3735afaf2a13dd55e9bb2c18ac3a2","observation_id":"46193762-afe7-4007-bbba-fc648cf3a512","resolution":{"observed_at":"2026-08-10T16:21:30.250052Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.252687Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.252687Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:51a4b58a0a531e2074e2e611c904cf53012121694cbf22a9c3b317a6a5b74da2","observation_id":"9abe5270-9525-4d39-bcfd-b256f62017e7","resolution":{"observed_at":"2026-08-10T16:21:30.252687Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.255343Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.255343Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:7869f5ca8d4c95f1c4ecb061b0097c1fd0bbddd4c70eba4025979871bcdba60b","observation_id":"dd6d4fc8-9ca0-4752-9b34-6585f7f62507","resolution":{"observed_at":"2026-08-10T16:21:30.255343Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.257904Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.257904Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:a8937fd2a7941dad57ec0722db1cfed943f9baa85777119df7c40af254976fb8","observation_id":"faf8b07e-d6f7-4247-9e53-9c384398b6fd","resolution":{"observed_at":"2026-08-10T16:21:30.257904Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.260545Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.260545Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:21624ca801605101f3c969703039c89ec8edc72ebdcd0545ca79b0a50d269d48","observation_id":"cd96712a-6c2a-48c9-8a7d-9f7affd51cca","resolution":{"observed_at":"2026-08-10T16:21:30.260545Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.265871Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.265871Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:c32f2a09ff626511a78abf5ac8d09b3541b405958e2addda313a11a58e3f56a8","observation_id":"da66f3d7-c490-4167-b505-38fa5c718907","resolution":{"observed_at":"2026-08-10T16:21:30.265871Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.268228Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.268228Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:22dc7b3da7703728b51b2cd002f1a2110770267ad28f77d2f35134034591465e","observation_id":"dd4c94e9-12fb-4fdf-9f4c-f8676818bc19","resolution":{"observed_at":"2026-08-10T16:21:30.268228Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.263200Z","title":"In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.263200Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:900b750282e2b4b8e394cf7d5e9abd28f4bf4207276b1dc85f7f10ab1d60ce8c","observation_id":"fd445e6f-0608-4c02-84ea-1c2414080233","resolution":{"observed_at":"2026-08-10T16:21:30.263200Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.08060","last_updated":"2022-09-15T08:58:42Z","snapshot_observed_at":"2026-08-10T04:14:29.973079Z","submitted_at":"2022-09-15T08:58:42Z","title":"PTab: Using the Pre-trained Language Model for Modeling Tabular Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.08060","snapshot_observed_at":"2026-08-10T16:21:30.272704Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.272704Z"},"links":{"cited_paper":"/paper/2209.08060","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:28d2b08d8ffaaa316bbe1be91bcabd4c7a35b6607e14e038de2fe8b27672504d","observation_id":"241a590a-3dc5-4bf5-855f-c333924c7743","resolution":{"observed_at":"2026-08-10T16:21:30.272704Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.10149","last_updated":"2023-10-27T09:11:50Z","snapshot_observed_at":"2026-08-10T14:00:16.748416Z","submitted_at":"2023-04-20T08:16:07Z","title":"Is ChatGPT a Good Recommender? A Preliminary Study","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.10149","snapshot_observed_at":"2026-08-10T16:21:30.275205Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.275205Z"},"links":{"cited_paper":"/paper/2304.10149","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:f4e91a27513b5595c099587a636832b1e0923da44efadf5729e36fbcbed147d0","observation_id":"2b1318ba-ca14-4c99-8c54-339d939133b5","resolution":{"observed_at":"2026-08-10T16:21:30.275205Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.270368Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.270368Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:ceffa07fee933039410ffa3f4ab503f7f1699be84b16047927201eef209cd235","observation_id":"d11b32e9-c168-4a6a-9994-ecae42b20212","resolution":{"observed_at":"2026-08-10T16:21:30.270368Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-08-09T20:34:52.923500Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-08-10T16:21:30.279654Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.279654Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:a4ea9c839fc496ea4e26cf02de29eb0bf40cf7ac8d24c9cda26e0d4f6ca88d61","observation_id":"c3aff9f2-493a-4d92-a65b-b8d14fc175e5","resolution":{"observed_at":"2026-08-10T16:21:30.279654Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.15756","last_updated":"2023-05-25T06:11:31Z","snapshot_observed_at":"2026-08-06T02:27:45.396609Z","submitted_at":"2023-05-25T06:11:31Z","title":"UniTRec: A Unified Text-to-Text Transformer and Joint Contrastive Learning Framework for Text-based Recommendation","version":1},"cited_work":{"arxiv_id":"2305.15756","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.15756","snapshot_observed_at":"2026-08-10T16:21:30.759755Z","title":"UniTRec: A Unified Text-to-Text Transformer and Joint Contrastive Learning Framework for Text-based Recommendation","venue":"cs.CL","work_id":"8b8eca12-2b46-43a8-bd3c-fc4f0806b7a7","year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.282073Z"},"links":{"cited_paper":"/paper/2305.15756","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:a42f79e1c1b279c6ddcd5ef0c8787e2d8e99a206392c0b0d507a572e62b169e8","observation_id":"9ead34a3-e70d-4e5a-b4d0-b60c94445788","resolution":{"observed_at":"2026-08-10T16:21:30.762527Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.06566","last_updated":"2023-08-31T13:43:43Z","snapshot_observed_at":"2026-08-10T16:51:37.006671Z","submitted_at":"2023-05-11T04:51:21Z","title":"ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.06566","snapshot_observed_at":"2026-08-10T16:21:30.277477Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.277477Z"},"links":{"cited_paper":"/paper/2305.06566","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:3fd9ff1c22e80fc0e6bbcc2842cbab08089db7eb4dc0e93919f304026874d284","observation_id":"dabd4b83-6ef8-4b79-b600-e437dfeb6619","resolution":{"observed_at":"2026-08-10T16:21:30.277477Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.286822Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.286822Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:63badc9bb0bb9db3a4741bbdcc2fe76130fdaee3b2b0476d59932aacf3e9694a","observation_id":"a60ad63b-c6cb-4bf8-847e-160560cb3e2d","resolution":{"observed_at":"2026-08-10T16:21:30.286822Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.02250","last_updated":"2023-07-21T07:46:03Z","snapshot_observed_at":"2026-08-06T21:16:34.205870Z","submitted_at":"2023-06-04T03:46:45Z","title":"Large Language Model Augmented Narrative Driven Recommendations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.02250","snapshot_observed_at":"2026-08-10T16:21:30.288930Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.288930Z"},"links":{"cited_paper":"/paper/2306.02250","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:bd44d091a5ae1e24427ebf70734d067f0dab2cb3b159b7cb596e17d253c66327","observation_id":"9a477d8f-1a7f-4d13-be33-2f3ed0820b90","resolution":{"observed_at":"2026-08-10T16:21:30.288930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:31.249955Z","title":null,"venue":null,"work_id":"51432468-bff0-44ce-9340-441a68cc2118","year":2024},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.293446Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:d87a9ff8bf426275327d8b6d596699942600863e94e45a2007a44b5daff3b5d0","observation_id":"ce8ed55c-d77e-418c-b714-c7c38feabc71","resolution":{"observed_at":"2026-08-10T16:21:31.252143Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.11114","last_updated":"2023-06-19T18:27:54Z","snapshot_observed_at":"2026-08-08T02:11:32.776004Z","submitted_at":"2023-06-19T18:27:54Z","title":"Generative Sequential Recommendation with GPTRec","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.11114","snapshot_observed_at":"2026-08-10T16:21:30.295599Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.295599Z"},"links":{"cited_paper":"/paper/2306.11114","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:5f684c1daa5df391fbed501a831bf7dfdc44172b197b28c7b1d91a7eb7367961","observation_id":"48d14474-ca21-4e5a-a324-6c0a3a63a04c","resolution":{"observed_at":"2026-08-10T16:21:30.295599Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:31.256675Z","title":null,"venue":null,"work_id":"0f134330-4f1e-4043-97fc-766e577feffa","year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.291232Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:f5b24c69e73089e072f4b3cf539552f0c2b7f5f4301660aba9f54d8b136dc86c","observation_id":"83dba8af-e9d7-4a47-b3fb-c587be749362","resolution":{"observed_at":"2026-08-10T16:21:31.259788Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.300071Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.300071Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:09b9e6a56fa7a143a6c1edd0fdb259ac49236572620ae64e4f79469e08e225a1","observation_id":"b8a75acf-35db-43b5-9c63-e24e0995a534","resolution":{"observed_at":"2026-08-10T16:21:30.300071Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:31.231969Z","title":null,"venue":null,"work_id":"700aad76-cab7-445d-b784-cc9d4f81edef","year":2021},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.302489Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:6deb61ed57c6f467216a084ff63a75e5025d4cff65824238c4dbbdcfe3c1e921","observation_id":"3069e0e1-c4f7-4878-8d47-f9c4092420d2","resolution":{"observed_at":"2026-08-10T16:21:31.234200Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:31.243099Z","title":null,"venue":null,"work_id":"be6d8fa4-31ba-4ad7-b7aa-c23711f13314","year":2019},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.297941Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:40da6a69b04aa89b93c4e7e1586e915006237599df4b2f561f9ee18471fec063","observation_id":"5b77f2af-b0ae-4e3d-809b-019ae70eeed6","resolution":{"observed_at":"2026-08-10T16:21:31.245255Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:31.224926Z","title":null,"venue":null,"work_id":"34cc8235-9c8c-443d-8410-ac2a5c37b8e0","year":2021},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.306635Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:510327e3ba7684f8b29106c2ed05d145824e8a387a8a99e95c113e3c7d7270f8","observation_id":"f9cad879-ba05-4e08-898e-c177c3146a73","resolution":{"observed_at":"2026-08-10T16:21:31.227311Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:31.217857Z","title":null,"venue":null,"work_id":"97a97f63-9945-463d-a473-d1755db29a1b","year":2016},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.308676Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:bf7fc9785aee30ed12fd1e834769c13f2ed255e90f5bbbcae0ba492bc8113698","observation_id":"5ef06584-2b29-45af-b7b3-a26ef2c025cd","resolution":{"observed_at":"2026-08-10T16:21:31.220220Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.12819","last_updated":"2025-08-25T02:35:43Z","snapshot_observed_at":"2026-07-06T18:17:21.217971Z","submitted_at":"2024-05-21T14:24:01Z","title":"Large Language Models Meet NLP: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.12819","snapshot_observed_at":"2026-08-10T16:21:30.304522Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.304522Z"},"links":{"cited_paper":"/paper/2405.12819","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:4b6d69a7bff94b61d94faab36f90147495a7bba0f0af70f3cf80523c1f141792","observation_id":"7feeed9d-893a-4139-b053-de31df998d8b","resolution":{"observed_at":"2026-08-10T16:21:30.304522Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:31.206333Z","title":null,"venue":null,"work_id":"19d9764d-d59d-406f-b515-1f572114028f","year":2019},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.312653Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:bb0319d632ca5ff5a65d2dd724554fb2bdaa0acf424e5b84625092f51c9d221c","observation_id":"58bb4cf3-d2d8-4627-af5d-9a92a8707f4c","resolution":{"observed_at":"2026-08-10T16:21:31.208753Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:31.198786Z","title":null,"venue":null,"work_id":"ad60a8c8-b3e6-4751-ae43-fca31d638109","year":null},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.314665Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:6b9e2f97b51a6f4313011c333ac247e4a0ffb9403dcf48bc67a032e6792dac72","observation_id":"9f538e87-6841-4bd0-aea1-ff6907630f0f","resolution":{"observed_at":"2026-08-10T16:21:31.201197Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.310615Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.310615Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:f06f7e5d1d21d90e4e55a388a76ce55719ae1f54fd34598c0ee46dc1f4fd424e","observation_id":"ec5193e7-aa28-452b-a2c5-159992ca820c","resolution":{"observed_at":"2026-08-10T16:21:30.310615Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.18241","last_updated":"2025-07-01T06:19:39Z","snapshot_observed_at":"2026-08-11T04:51:56.092939Z","submitted_at":"2024-12-24T07:51:29Z","title":"An Automatic Graph Construction Framework based on Large Language Models for Recommendation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.18241","snapshot_observed_at":"2026-08-10T16:21:30.322190Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.322190Z"},"links":{"cited_paper":"/paper/2412.18241","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:baa271866560b9abe9b829cfbea0049d093e6d38e8774da335970fc3aeb3ddf1","observation_id":"6af8db8f-8f72-4443-9426-088b8d6dc103","resolution":{"observed_at":"2026-08-10T16:21:30.322190Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1404.1100","last_updated":"2014-04-03T21:16:49Z","snapshot_observed_at":"2026-07-06T03:40:19.607628Z","submitted_at":"2014-04-03T21:16:49Z","title":"A Tutorial on Principal Component Analysis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1404.1100","snapshot_observed_at":"2026-08-10T16:21:30.324991Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.324991Z"},"links":{"cited_paper":"/paper/1404.1100","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:d7a7d246ecc0882e0890536a4b8ae37e88f6f7729f499363207eeece973455dd","observation_id":"8e04d862-768d-4c82-a500-515e1088f490","resolution":{"observed_at":"2026-08-10T16:21:30.324991Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:31.184428Z","title":null,"venue":null,"work_id":"e7d142c3-eba0-4734-bdca-e6790dd7e5e2","year":2019},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.327768Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:2e327dcf7bffd22d56ecac6a5a997e093b7185a939e70a3986f941a8e7689b8f","observation_id":"bd379acf-c992-403c-91f5-64250962c87f","resolution":{"observed_at":"2026-08-10T16:21:31.187160Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:31.191832Z","title":null,"venue":null,"work_id":"c8b74ccc-5ec2-4003-8020-e681652189c7","year":2010},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.319658Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:7c42e26666288589e256de2367be75d124add6058be3732fbe43e13e693b5f2b","observation_id":"5b7e4213-7749-4c85-a5b1-80f03dbf6275","resolution":{"observed_at":"2026-08-10T16:21:31.194227Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:31.177296Z","title":null,"venue":null,"work_id":"191bcfe3-9c22-49c6-8e56-2e1eeb1facbf","year":2018},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.333200Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:005e255a2f274c0a94f3000dcaebcf5ffacb8bad95cf7c830057580a106381b4","observation_id":"69a188d9-2d3e-4aae-99fa-1e488f58242c","resolution":{"observed_at":"2026-08-10T16:21:31.179711Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-08-10T16:21:30.335787Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.335787Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:fcf5495f51fa3accb20b2975cf177919c7b04bb4bbc25ca19a036ff72be6aadf","observation_id":"afeda36f-b44d-4040-b0e2-e9874d294154","resolution":{"observed_at":"2026-08-10T16:21:30.335787Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:31.169830Z","title":null,"venue":null,"work_id":"398a7812-1e5e-4559-a2c3-a1b27b2ebf2c","year":2024},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.338442Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:14b9e2c678775423ead2871875183f37941125e50631a84595d5fdb81cab5aea","observation_id":"b87fbdba-5ddf-4e3e-a794-e27b8193de16","resolution":{"observed_at":"2026-08-10T16:21:31.172365Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.09542","last_updated":"2024-12-28T06:20:54Z","snapshot_observed_at":"2026-08-06T00:21:17.259026Z","submitted_at":"2023-04-19T10:16:03Z","title":"Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.09542","snapshot_observed_at":"2026-08-10T16:21:30.330391Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.330391Z"},"links":{"cited_paper":"/paper/2304.09542","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:21b92eba079c19064c2d9fd72abb20876ecb23cf07fc2d4db1bff70ab81b7cf2","observation_id":"d85e2aca-45d0-4d11-8096-b65b6c726f67","resolution":{"observed_at":"2026-08-10T16:21:30.330391Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.03153","last_updated":"2023-04-06T15:35:11Z","snapshot_observed_at":"2026-08-10T16:58:01.481478Z","submitted_at":"2023-04-06T15:35:11Z","title":"Zero-Shot Next-Item Recommendation using Large Pretrained Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.03153","snapshot_observed_at":"2026-08-10T16:21:30.343523Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.343523Z"},"links":{"cited_paper":"/paper/2304.03153","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:778b803e88f384fb992fe8e812f27576ac780e5e1569a3d3e987301a4f4e908d","observation_id":"5bb41a77-4fb1-41ed-8aeb-9c1f83eff295","resolution":{"observed_at":"2026-08-10T16:21:30.343523Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.346116Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.346116Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:0f595f4cd7db2d6dd0372c13d6b3743838cfbc192f6728077054ea9782b9d2d8","observation_id":"84b66af4-6fd7-4a56-b506-bdde0c306ad8","resolution":{"observed_at":"2026-08-10T16:21:30.346116Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:31.156060Z","title":null,"venue":null,"work_id":"b2036b69-bef4-4ecb-a1b9-a21aefb09e96","year":2021},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.348421Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:dc4f368833f05882d94e41859450ef142dac831c856f1e3264ffb7525c075de6","observation_id":"a33dca06-295e-44d7-b07d-9e041d1cd019","resolution":{"observed_at":"2026-08-10T16:21:31.159046Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.341262Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.341262Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:d1d6734a58a67a558829fd361bcf9ceb459bb3cde0cfd4417654dc34777d4084","observation_id":"26c5d9a3-11ee-4ce2-90fc-dc6e00e69fe1","resolution":{"observed_at":"2026-08-10T16:21:30.341262Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.353227Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.353227Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:a59c7e5dc96aaf455522bdc7c2749a90472f025c19df5e28c095c1ec05e2f5ac","observation_id":"dc198b30-ffa5-4c27-9972-760eb7b6472f","resolution":{"observed_at":"2026-08-10T16:21:30.353227Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.14296","last_updated":"2024-03-20T18:13:10Z","snapshot_observed_at":"2026-07-06T16:11:02.763364Z","submitted_at":"2023-08-28T04:31:04Z","title":"RecMind: Large Language Model Powered Agent For Recommendation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.14296","snapshot_observed_at":"2026-08-10T16:21:30.355594Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.355594Z"},"links":{"cited_paper":"/paper/2308.14296","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:1186b46dae95297d3a9743afd8fe0539589871a3dd20db9bc7dd8475b7b071ea","observation_id":"046c1fe5-f075-4b98-a881-1e63d3700b69","resolution":{"observed_at":"2026-08-10T16:21:30.355594Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.358394Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.358394Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:f0bc79874292f7fbb9ae304f55afa3b94a7ecbdd1990aaa420c463ffaee03d44","observation_id":"9f71d1a8-7b00-472d-9b76-a7a09759304d","resolution":{"observed_at":"2026-08-10T16:21:30.358394Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:31.146776Z","title":null,"venue":null,"work_id":"b081a3bc-5626-4c18-8fac-18eb548de2b0","year":2024},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.350849Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:d562ff322d556cb3d05091c72f4bf1a9d6bb182f80ddeab7774b240f4c1d1ba5","observation_id":"2d3cb5cb-92f0-4940-a3ca-ac66ebe86045","resolution":{"observed_at":"2026-08-10T16:21:31.150321Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:31.121171Z","title":null,"venue":null,"work_id":"8ec9395a-a27f-45b5-8727-5419895f52f1","year":null},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.363328Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:75cecc438d84149876ff20024adb4f6611eb4130a8ea2c7d6c2bfdba2b64a8a7","observation_id":"20042104-8e1a-4ae5-866b-919af43de346","resolution":{"observed_at":"2026-08-10T16:21:31.123977Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:31.113447Z","title":null,"venue":null,"work_id":"a2fbf7c4-e61f-46d6-8133-303845ddfc5e","year":2017},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.368148Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:d67094c019ef59715542b40724bfe2ec192fd5a64bbf6e6402cac3b22a61f1d6","observation_id":"e2789449-ca34-4b64-800b-471e0ed5ee17","resolution":{"observed_at":"2026-08-10T16:21:31.115968Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:31.106053Z","title":null,"venue":null,"work_id":"192494e5-5d72-4090-87bc-d94b79065561","year":2019},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.370291Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:f363fe9b138170f8f5214247355ae824d18f45965ece58052a3a0783a2bd2787","observation_id":"ca6bf01c-9aef-45d8-813d-677d928766b5","resolution":{"observed_at":"2026-08-10T16:21:31.108474Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:31.129094Z","title":null,"venue":null,"work_id":"71ca533e-79fb-475a-9f1f-77d38a430da0","year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.361028Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:651fff615f7633ab4da35347a5be48c18e6f275d7ec54189364d94f43d3b36d6","observation_id":"301447f1-6efa-4a65-be42-71ed475d75b6","resolution":{"observed_at":"2026-08-10T16:21:31.131930Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.13835","last_updated":"2023-05-02T23:36:18Z","snapshot_observed_at":"2026-08-04T02:28:22.219714Z","submitted_at":"2023-03-24T06:50:22Z","title":"Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited","version":4},"cited_work":{"arxiv_id":"2303.13835","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.13835","snapshot_observed_at":"2026-08-10T16:21:30.561579Z","title":"Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited","venue":"cs.IR","work_id":"6b0fa4c5-2716-49ec-b7ed-2aae229e456c","year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.374609Z"},"links":{"cited_paper":"/paper/2303.13835","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:b7ff93d502b5398d2e83cc25e42b96b8aef33a7049001906497eec1d55b7b80a","observation_id":"e93939ac-01e7-43e8-b46b-1784feb74e6f","resolution":{"observed_at":"2026-08-10T16:21:30.564796Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.10933","last_updated":"2023-12-04T13:10:14Z","snapshot_observed_at":"2026-08-10T16:51:41.494853Z","submitted_at":"2023-06-19T13:44:48Z","title":"Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.10933","snapshot_observed_at":"2026-08-10T16:21:30.365820Z","title":"arXiv preprint arXiv:2306.10933 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.365820Z"},"links":{"cited_paper":"/paper/2306.10933","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:8d2b31a597fb31f1b971bed7b16517711b262590f1b37903890f1bcf150a6fe2","observation_id":"1d1a3e24-ce56-441a-94e1-75c3e31bdbff","resolution":{"observed_at":"2026-08-10T16:21:30.365820Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.07001","last_updated":"2023-05-11T17:39:07Z","snapshot_observed_at":"2026-08-10T16:51:37.366605Z","submitted_at":"2023-05-11T17:39:07Z","title":"Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.07001","snapshot_observed_at":"2026-08-10T16:21:30.379188Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.379188Z"},"links":{"cited_paper":"/paper/2305.07001","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:bc2461ffd653f2bbe847605a56f8d11ca472f734dfb57a53c92c0f15c2027998","observation_id":"c9068626-caff-44c8-8eda-457416f478e7","resolution":{"observed_at":"2026-08-10T16:21:30.379188Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.11696","last_updated":"2024-04-04T16:23:56Z","snapshot_observed_at":"2026-07-06T16:21:33.523806Z","submitted_at":"2023-09-21T00:34:33Z","title":"LLM-based Medical Assistant Personalization with Short- and Long-Term Memory Coordination","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.11696","snapshot_observed_at":"2026-08-10T16:21:30.381367Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.381367Z"},"links":{"cited_paper":"/paper/2309.11696","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:1476f7b552c5dec3cfb8119971beabbf9c349ff8a34e1acc6621f95de1522566","observation_id":"123c9547-2a04-4753-9d98-3a5d35f74970","resolution":{"observed_at":"2026-08-10T16:21:30.381367Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.00944","last_updated":"2022-12-11T03:29:37Z","snapshot_observed_at":"2026-08-08T00:37:03.113931Z","submitted_at":"2021-12-02T02:48:25Z","title":"Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.00944","snapshot_observed_at":"2026-08-10T16:21:30.372342Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.372342Z"},"links":{"cited_paper":"/paper/2112.00944","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:b3691a726336d4618549cdbd73a1f40baf9d39aca606ea73423e940a6231d0c9","observation_id":"14030311-a856-4676-a5e0-68649c36718c","resolution":{"observed_at":"2026-08-10T16:21:30.372342Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.07562","last_updated":"2023-08-27T02:42:16Z","snapshot_observed_at":"2026-07-06T13:52:47.631776Z","submitted_at":"2022-09-15T19:01:21Z","title":"TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations at Twitter","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.07562","snapshot_observed_at":"2026-08-10T16:21:30.386870Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.386870Z"},"links":{"cited_paper":"/paper/2209.07562","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:f2927ac56811d2cd1e6bf2df04892c16db002c6f99b3d53a9cd294bf2cf61bde","observation_id":"16ed88b5-373e-4413-8391-c131eb4626e2","resolution":{"observed_at":"2026-08-10T16:21:30.386870Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.376925Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.376925Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:003eb849da9d449b9eac806aaab5e24f2e1283833b1b1ce6831c05fddfc2a9e1","observation_id":"8f154138-585e-416c-b54d-76c891fdc4d4","resolution":{"observed_at":"2026-08-10T16:21:30.376925Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.19488","last_updated":"2025-06-14T15:45:48Z","snapshot_observed_at":"2026-08-10T06:26:24.902887Z","submitted_at":"2023-10-30T12:25:00Z","title":"CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.19488","snapshot_observed_at":"2026-08-10T16:21:30.392783Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.392783Z"},"links":{"cited_paper":"/paper/2310.19488","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:0349d385422fb635104436ee55f4a686c23e9b2cf4d4f242c106e75a2973c22c","observation_id":"ba94c4f5-d6e9-462e-8f17-7259bbf4fd5a","resolution":{"observed_at":"2026-08-10T16:21:30.392783Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.05263","last_updated":"2023-04-11T14:56:06Z","snapshot_observed_at":"2026-07-06T15:14:28.574778Z","submitted_at":"2023-04-11T14:56:06Z","title":"Prompt Learning for News Recommendation","version":1},"cited_work":{"arxiv_id":"2304.05263","doi":null,"metadata_source":"pith","pith_arxiv_id":"2304.05263","snapshot_observed_at":"2026-08-10T16:21:30.449267Z","title":"Prompt Learning for News Recommendation","venue":"cs.IR","work_id":"562440d8-06db-45b8-b68a-14d8202403bc","year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.395677Z"},"links":{"cited_paper":"/paper/2304.05263","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:a5784056789f9cf84f77a38b16740ef7ce57b23ab38943c76995c5cce627b9e3","observation_id":"91f51e17-4904-467d-809b-0900901192ee","resolution":{"observed_at":"2026-08-10T16:21:30.453923Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:31.098547Z","title":null,"venue":null,"work_id":"829cc431-1b7c-4377-8f6e-4ca9a455a89c","year":2021},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.384240Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:b745e45ef14f4244234cdd803f9b9ac825631c0b55e1008201d4e8e2f8e6fe29","observation_id":"79341e8f-5f7d-4ae8-8c0c-3bace537c1fe","resolution":{"observed_at":"2026-08-10T16:21:31.101018Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:31.078372Z","title":null,"venue":null,"work_id":"8bb4f2d4-65c6-4eda-a1c9-a7eed7254007","year":null},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.401283Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:434e80a9f70a3e46b282b9a1c90630db112ba2dcc2ed9af4870b2fec78be4ace","observation_id":"3cb8cb3d-8fd4-4d38-a652-494d184c168f","resolution":{"observed_at":"2026-08-10T16:21:31.080831Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:30.389874Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.389874Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:831330a38e543ee6a2a2a157ee69d167135bfb2150dc9946257099b480b01ddb","observation_id":"41c20f2c-137f-4cd5-a1de-d36be370ebfc","resolution":{"observed_at":"2026-08-10T16:21:30.389874Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:31.085492Z","title":null,"venue":null,"work_id":"3397532a-546f-4c1c-ac70-bf343527ef24","year":2019},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":103,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.398535Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:0423f698ac022e299ba0615ef4fbcfbfda935f6a442c7baeab101e3b0594bacd","observation_id":"63a8d657-0398-46a5-8c13-c2c72ae8378a","resolution":{"observed_at":"2026-08-10T16:21:31.088078Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:21:31.063348Z","title":null,"venue":null,"work_id":"3fc2955d-41ac-4a49-87b7-8a31f50968d6","year":null},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","version":1},"reference_index":106,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.406060Z"},"links":{"citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:4389b8ffff4285e67836104b3216c2b38d1552857f5d04a23ef5607e35dcad0e","observation_id":"ee53f1d1-8cb7-4854-8428-61c9d4bbc6de","resolution":{"observed_at":"2026-08-10T16:21:31.065778Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-10T16:38:17.127760Z","submitted_at":"2025-01-23T03:05:13Z","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":92,"verified_exact":8,"verified_fuzzy":0},"total_outbound_references":105},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 100 of 105 outbound references and 0 inbound Pith citation observations for arXiv:2501.13344."}