{"as_of":"2026-08-21T14:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b457031e4d99af5e17ce0a31262552d55a07749a657e0d01e33648fcddae6226","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":26,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":26,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":26,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":26,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T11:29:40.566519Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T14:58:32.769100Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.07961","last_updated":"2023-05-16T21:21:46Z","snapshot_observed_at":"2026-08-19T12:14:04.998084Z","submitted_at":"2023-05-13T16:40:07Z","title":"Leveraging Large Language Models in Conversational Recommender Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.07961","snapshot_observed_at":"2026-08-12T21:52:34.637138Z","title":"Transactions of the Association for Computational Linguistics, 11:1643–1668","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.08243","last_updated":"2025-06-03T19:37:50Z","snapshot_observed_at":"2026-08-18T20:59:39.802882Z","submitted_at":"2024-11-12T23:43:20Z","title":"Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T21:52:34.637138Z"},"links":{"cited_paper":"/paper/2305.07961","citing_paper":"/paper/2411.08243"},"observation_digest":"sha256:6f0fb456faa0c4171daa80eec6ffaee7aa7906b16e3a3480c23ef075b6f038b9","observation_id":"478f6d08-7e46-4bfa-a518-916494590a2e","resolution":{"observed_at":"2026-08-12T21:52:34.637138Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.07961","last_updated":"2023-05-16T21:21:46Z","snapshot_observed_at":"2026-08-19T12:14:04.998084Z","submitted_at":"2023-05-13T16:40:07Z","title":"Leveraging Large Language Models in Conversational Recommender Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.07961","snapshot_observed_at":"2026-08-12T10:20:46.640509Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.19352","last_updated":"2025-01-01T00:03:24Z","snapshot_observed_at":"2026-08-15T20:46:10.185149Z","submitted_at":"2024-11-28T19:53:39Z","title":"OMuleT: Orchestrating Multiple Tools for Practicable Conversational Recommendation","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T10:20:46.640509Z"},"links":{"cited_paper":"/paper/2305.07961","citing_paper":"/paper/2411.19352"},"observation_digest":"sha256:554075f39ba9e3439142700c9fe481ca1ed7a00fdc4822c7a3a31a944ece98fa","observation_id":"6858055f-3ed3-4191-9a19-1a226eca333a","resolution":{"observed_at":"2026-08-12T10:20:46.640509Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.07961","last_updated":"2023-05-16T21:21:46Z","snapshot_observed_at":"2026-08-19T12:14:04.998084Z","submitted_at":"2023-05-13T16:40:07Z","title":"Leveraging Large Language Models in Conversational Recommender Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.07961","snapshot_observed_at":"2026-08-11T19:55:52.761869Z","title":"Leveraging large language models in conversational recommender systems,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.06229","last_updated":"2024-12-09T06:03:48Z","snapshot_observed_at":"2026-08-18T16:01:54.693196Z","submitted_at":"2024-12-09T06:03:48Z","title":"LLMs as Debate Partners: Utilizing Genetic Algorithms and Adversarial Search for Adaptive Arguments","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T19:55:52.761869Z"},"links":{"cited_paper":"/paper/2305.07961","citing_paper":"/paper/2412.06229"},"observation_digest":"sha256:28f697982a0b91ce2673213a0f961fd4ad691ad8bb6c29b388f549e82c368aea","observation_id":"676fab96-0322-4e47-9bf9-e289886b6e76","resolution":{"observed_at":"2026-08-11T19:55:52.761869Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.07961","last_updated":"2023-05-16T21:21:46Z","snapshot_observed_at":"2026-08-19T12:14:04.998084Z","submitted_at":"2023-05-13T16:40:07Z","title":"Leveraging Large Language Models in Conversational Recommender Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.07961","snapshot_observed_at":"2026-08-11T05:00:35.284271Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.18176","last_updated":"2024-12-30T09:24:34Z","snapshot_observed_at":"2026-08-21T05:14:05.201170Z","submitted_at":"2024-12-24T05:23:13Z","title":"Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-11T05:00:35.284271Z"},"links":{"cited_paper":"/paper/2305.07961","citing_paper":"/paper/2412.18176"},"observation_digest":"sha256:87de9dfcde1a05feebb5d616cccaecc9fe13718034a8a295a1cd7a151cf6d038","observation_id":"d181acd9-4559-4565-a703-12425c6aa038","resolution":{"observed_at":"2026-08-11T05:00:35.284271Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.07961","last_updated":"2023-05-16T21:21:46Z","snapshot_observed_at":"2026-08-19T12:14:04.998084Z","submitted_at":"2023-05-13T16:40:07Z","title":"Leveraging Large Language Models in Conversational Recommender Systems","version":2},"cited_work":{"arxiv_id":"2305.07961","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.07961","snapshot_observed_at":"2026-07-03T14:58:32.769100Z","title":"Leveraging large language models in conversational recommender systems","venue":null,"work_id":"a7190e5e-4fe7-4837-be84-703253a65d5d","year":2023},"citing_paper":{"arxiv_id":"2501.00309","last_updated":"2025-01-08T05:16:25Z","snapshot_observed_at":"2026-08-15T15:30:31.504538Z","submitted_at":"2024-12-31T06:59:35Z","title":"Retrieval-Augmented Generation with Graphs (GraphRAG)","version":2},"reference_index":116,"source":"pdf_text","source_observed_at":"2026-05-18T04:33:39.076517Z"},"links":{"cited_paper":"/paper/2305.07961","citing_paper":"/paper/2501.00309"},"observation_digest":"sha256:bd6e3aaedc5bffc69eda1543a9d60385b20bbe3004a0b1392cc66cc1f187a4c3","observation_id":"286b8b5c-8e0e-4784-bd27-2f1a2b2b9a65","resolution":{"observed_at":"2026-05-18T04:33:39.377000Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.07961","last_updated":"2023-05-16T21:21:46Z","snapshot_observed_at":"2026-08-19T12:14:04.998084Z","submitted_at":"2023-05-13T16:40:07Z","title":"Leveraging Large Language Models in Conversational Recommender Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.07961","snapshot_observed_at":"2026-08-07T19:39:03.497318Z","title":"Lever- aging large language models in conversational recom- mender systems","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.10050","last_updated":"2025-02-14T09:57:07Z","snapshot_observed_at":"2026-08-19T19:27:27.007849Z","submitted_at":"2025-02-14T09:57:07Z","title":"A Survey on LLM-powered Agents for Recommender Systems","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T19:39:03.497318Z"},"links":{"cited_paper":"/paper/2305.07961","citing_paper":"/paper/2502.10050"},"observation_digest":"sha256:6123b1320cbb88af265ddced13195a8fd601246e3cef41619e61975a5fe2a4c6","observation_id":"27b71d92-47ff-4009-b111-759025771633","resolution":{"observed_at":"2026-08-07T19:39:03.497318Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.07961","last_updated":"2023-05-16T21:21:46Z","snapshot_observed_at":"2026-08-19T12:14:04.998084Z","submitted_at":"2023-05-13T16:40:07Z","title":"Leveraging Large Language Models in Conversational Recommender Systems","version":2},"cited_work":{"arxiv_id":"2305.07961","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.07961","snapshot_observed_at":"2026-07-03T14:58:32.769100Z","title":"Leveraging large language models in conversational recommender systems","venue":null,"work_id":"a7190e5e-4fe7-4837-be84-703253a65d5d","year":2023},"citing_paper":{"arxiv_id":"2504.02181","last_updated":"2026-04-22T01:49:17Z","snapshot_observed_at":"2026-07-30T09:24:14.725185Z","submitted_at":"2025-04-02T23:51:27Z","title":"A Survey of Scaling in Large Language Model Reasoning","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-22T21:20:07.238992Z"},"links":{"cited_paper":"/paper/2305.07961","citing_paper":"/paper/2504.02181"},"observation_digest":"sha256:71132dedc52c7346a7a8a314e50d7dfa85aef2ee3a808e8bc52a534c37c7cbdc","observation_id":"d88f8c49-840f-4f07-81ae-4c0ec4f92594","resolution":{"observed_at":"2026-05-22T21:22:09.083891Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.07961","last_updated":"2023-05-16T21:21:46Z","snapshot_observed_at":"2026-08-19T12:14:04.998084Z","submitted_at":"2023-05-13T16:40:07Z","title":"Leveraging Large Language Models in Conversational Recommender Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.07961","snapshot_observed_at":"2026-08-16T11:29:40.566519Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.15476","last_updated":"2025-04-21T23:05:47Z","snapshot_observed_at":"2026-08-18T11:04:26.630877Z","submitted_at":"2025-04-21T23:05:47Z","title":"From Reviews to Dialogues: Active Synthesis for Zero-Shot LLM-based Conversational Recommender System","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T11:29:40.566519Z"},"links":{"cited_paper":"/paper/2305.07961","citing_paper":"/paper/2504.15476"},"observation_digest":"sha256:b972337a51a49f9de665f02e51cc70b76c0f2a00c1cc0aada1728db2ca95131e","observation_id":"0e167e74-3a28-4b8f-a347-4e66f388ad70","resolution":{"observed_at":"2026-08-16T11:29:40.566519Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.07961","last_updated":"2023-05-16T21:21:46Z","snapshot_observed_at":"2026-08-19T12:14:04.998084Z","submitted_at":"2023-05-13T16:40:07Z","title":"Leveraging Large Language Models in Conversational Recommender Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.07961","snapshot_observed_at":"2026-08-16T04:35:58.119274Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.00951","last_updated":"2025-05-02T01:54:08Z","snapshot_observed_at":"2026-08-19T10:12:45.135792Z","submitted_at":"2025-05-02T01:54:08Z","title":"Preserving Privacy and Utility in LLM-Based Product Recommendations","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-16T04:35:58.119274Z"},"links":{"cited_paper":"/paper/2305.07961","citing_paper":"/paper/2505.00951"},"observation_digest":"sha256:18f72df308961b820f41fe6f537da09bb1e3ba204adc52d83001c1f3309ecb24","observation_id":"9213def2-c7bb-486d-b4e1-5499830ef538","resolution":{"observed_at":"2026-08-16T04:35:58.119274Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.07961","last_updated":"2023-05-16T21:21:46Z","snapshot_observed_at":"2026-08-19T12:14:04.998084Z","submitted_at":"2023-05-13T16:40:07Z","title":"Leveraging Large Language Models in Conversational Recommender Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.07961","snapshot_observed_at":"2026-08-15T21:07:41.824598Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.10839","last_updated":"2025-05-16T04:13:04Z","snapshot_observed_at":"2026-08-20T21:39:10.976064Z","submitted_at":"2025-05-16T04:13:04Z","title":"Alexandria: A Library of Pluralistic Values for Realtime Re-Ranking of Social Media Feeds","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-15T21:07:41.824598Z"},"links":{"cited_paper":"/paper/2305.07961","citing_paper":"/paper/2505.10839"},"observation_digest":"sha256:702236d81a27b80c4bc2039b2ba0dadc821b0f70ec6f49b96a87be03c58b89ca","observation_id":"d5f40bfc-45c2-47f7-87a0-4a4dbe76d1bf","resolution":{"observed_at":"2026-08-15T21:07:41.824598Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.07961","last_updated":"2023-05-16T21:21:46Z","snapshot_observed_at":"2026-08-19T12:14:04.998084Z","submitted_at":"2023-05-13T16:40:07Z","title":"Leveraging Large Language Models in Conversational Recommender Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.07961","snapshot_observed_at":"2026-08-07T14:14:10.659565Z","title":"Leveraging large language models in conversational recommender systems","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.19623","last_updated":"2025-05-28T14:32:56Z","snapshot_observed_at":"2026-08-20T22:32:59.652499Z","submitted_at":"2025-05-26T07:45:11Z","title":"AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T14:14:10.659565Z"},"links":{"cited_paper":"/paper/2305.07961","citing_paper":"/paper/2505.19623"},"observation_digest":"sha256:f0f99c6ce5fee9b55309a3f5cc702109a3b711b65b184f53f170c207957cc5cc","observation_id":"4c953b29-f8b9-45f5-a763-9179bbe57fd8","resolution":{"observed_at":"2026-08-07T14:14:10.659565Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.07961","last_updated":"2023-05-16T21:21:46Z","snapshot_observed_at":"2026-08-19T12:14:04.998084Z","submitted_at":"2023-05-13T16:40:07Z","title":"Leveraging Large Language Models in Conversational Recommender Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.07961","snapshot_observed_at":"2026-08-07T05:14:53.744862Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.09084","last_updated":"2026-05-23T00:31:27Z","snapshot_observed_at":"2026-08-16T12:39:32.645465Z","submitted_at":"2025-06-10T08:05:42Z","title":"PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:53.744862Z"},"links":{"cited_paper":"/paper/2305.07961","citing_paper":"/paper/2506.09084"},"observation_digest":"sha256:3be8cef518fd71dc9402b01ce4b86109bd7d41de6de29ffb913ddfd39ef014e6","observation_id":"264598d0-df33-4734-ba81-49371344cd8b","resolution":{"observed_at":"2026-08-07T05:14:53.744862Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.07961","last_updated":"2023-05-16T21:21:46Z","snapshot_observed_at":"2026-08-19T12:14:04.998084Z","submitted_at":"2023-05-13T16:40:07Z","title":"Leveraging Large Language Models in Conversational Recommender Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.07961","snapshot_observed_at":"2026-08-15T19:20:29.614075Z","title":"Leveraging large language models in conversational recommender systems.arXiv preprint arXiv:2305.07961, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16893","last_updated":"2025-06-20T10:30:39Z","snapshot_observed_at":"2026-08-21T08:32:03.640859Z","submitted_at":"2025-06-20T10:30:39Z","title":"Multi-Objective Recommendation in the Era of Generative AI: A Survey of Recent Progress and Future Prospects","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-15T19:20:29.614075Z"},"links":{"cited_paper":"/paper/2305.07961","citing_paper":"/paper/2506.16893"},"observation_digest":"sha256:f7291df547f3ddf79e5d396b0da7734099e62b495a8f769be808af4b288a7444","observation_id":"5187660c-4425-484e-936b-200b894e461a","resolution":{"observed_at":"2026-08-15T19:20:29.614075Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.07961","last_updated":"2023-05-16T21:21:46Z","snapshot_observed_at":"2026-08-19T12:14:04.998084Z","submitted_at":"2023-05-13T16:40:07Z","title":"Leveraging Large Language Models in Conversational Recommender Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.07961","snapshot_observed_at":"2026-08-06T22:42:44.220507Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.21032","last_updated":"2025-08-23T12:34:13Z","snapshot_observed_at":"2026-08-19T23:39:18.284688Z","submitted_at":"2025-06-26T06:14:42Z","title":"RecCoT: Enhancing Recommendation via Chain-of-Thought","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T22:42:44.220507Z"},"links":{"cited_paper":"/paper/2305.07961","citing_paper":"/paper/2506.21032"},"observation_digest":"sha256:61d66c25b0080a26f0d0b6218d37e62a6e4edbd13ac46ad66b72146eaa1e2601","observation_id":"29252005-ac75-482c-b4d8-2a7956a0cd4f","resolution":{"observed_at":"2026-08-06T22:42:44.220507Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.07961","last_updated":"2023-05-16T21:21:46Z","snapshot_observed_at":"2026-08-19T12:14:04.998084Z","submitted_at":"2023-05-13T16:40:07Z","title":"Leveraging Large Language Models in Conversational Recommender Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.07961","snapshot_observed_at":"2026-08-06T21:17:34.101551Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00535","last_updated":"2026-08-03T09:27:30Z","snapshot_observed_at":"2026-08-16T06:36:13.829484Z","submitted_at":"2025-07-01T07:56:37Z","title":"Rethinking Group Recommender Systems in the Era of Generative AI: From One-Shot Recommendations to Agentic Group Decision Support","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T21:17:34.101551Z"},"links":{"cited_paper":"/paper/2305.07961","citing_paper":"/paper/2507.00535"},"observation_digest":"sha256:4e2a72853b69ba70b63f8f74a546a03be90e76b1640a19746a94851897470a91","observation_id":"4c0583db-521a-4706-9922-ab845b819ac9","resolution":{"observed_at":"2026-08-06T21:17:34.101551Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.07961","last_updated":"2023-05-16T21:21:46Z","snapshot_observed_at":"2026-08-19T12:14:04.998084Z","submitted_at":"2023-05-13T16:40:07Z","title":"Leveraging Large Language Models in Conversational Recommender Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.07961","snapshot_observed_at":"2026-08-04T19:17:02.142593Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.09342","last_updated":"2025-09-11T10:56:40Z","snapshot_observed_at":"2026-08-19T20:22:36.976075Z","submitted_at":"2025-09-11T10:56:40Z","title":"CESRec: Constructing Pseudo Interactions for Sequential Recommendation via Conversational Feedback","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-04T19:17:02.142593Z"},"links":{"cited_paper":"/paper/2305.07961","citing_paper":"/paper/2509.09342"},"observation_digest":"sha256:71769da125abd0827fe934bf91add04d83d17aff8f382b8f1a00f2a328180471","observation_id":"2b5e9c1d-a58b-46da-87eb-8a91e3ac3c99","resolution":{"observed_at":"2026-08-04T19:17:02.142593Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.07961","last_updated":"2023-05-16T21:21:46Z","snapshot_observed_at":"2026-08-19T12:14:04.998084Z","submitted_at":"2023-05-13T16:40:07Z","title":"Leveraging Large Language Models in Conversational Recommender Systems","version":2},"cited_work":{"arxiv_id":"2305.07961","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.07961","snapshot_observed_at":"2026-07-03T14:58:32.769100Z","title":"Leveraging large language models in conversational recommender systems","venue":null,"work_id":"a7190e5e-4fe7-4837-be84-703253a65d5d","year":2023},"citing_paper":{"arxiv_id":"2604.07851","last_updated":"2026-04-09T06:07:03Z","snapshot_observed_at":"2026-08-03T12:28:38.894496Z","submitted_at":"2026-04-09T06:07:03Z","title":"ReRec: Reasoning-Augmented LLM-based Recommendation Assistant via Reinforcement Fine-tuning","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-05-10T17:29:34.145855Z"},"links":{"cited_paper":"/paper/2305.07961","citing_paper":"/paper/2604.07851"},"observation_digest":"sha256:5780715f56a27b38a63dc36a406f4d261cf8fa07c6129ae39986f1d5987acc8f","observation_id":"167c8b1d-d234-4032-ac11-71742fb12145","resolution":{"observed_at":"2026-05-11T06:41:38.706350Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.07961","last_updated":"2023-05-16T21:21:46Z","snapshot_observed_at":"2026-08-19T12:14:04.998084Z","submitted_at":"2023-05-13T16:40:07Z","title":"Leveraging Large Language Models in Conversational Recommender Systems","version":2},"cited_work":{"arxiv_id":"2305.07961","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.07961","snapshot_observed_at":"2026-07-03T14:58:32.769100Z","title":"Leveraging large language models in conversational recommender systems","venue":null,"work_id":"a7190e5e-4fe7-4837-be84-703253a65d5d","year":2023},"citing_paper":{"arxiv_id":"2604.24405","last_updated":"2026-04-29T09:56:34Z","snapshot_observed_at":"2026-08-14T23:33:29.185935Z","submitted_at":"2026-04-27T12:29:23Z","title":"How Personal Characteristics Shape User Exploration of Diverse Movie Recommendations with a LLM-Based Multi-Agent System","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-08T02:14:17.948364Z"},"links":{"cited_paper":"/paper/2305.07961","citing_paper":"/paper/2604.24405"},"observation_digest":"sha256:7323361caaf0a2287291a8eeba8714401823d91a85a4cca1cda458c1862b6c9b","observation_id":"8dd4b130-6c7c-4c25-817d-43271c7f5a61","resolution":{"observed_at":"2026-05-11T22:56:14.850358Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.07961","last_updated":"2023-05-16T21:21:46Z","snapshot_observed_at":"2026-08-19T12:14:04.998084Z","submitted_at":"2023-05-13T16:40:07Z","title":"Leveraging Large Language Models in Conversational Recommender Systems","version":2},"cited_work":{"arxiv_id":"2305.07961","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.07961","snapshot_observed_at":"2026-07-03T14:58:32.769100Z","title":"Leveraging large language models in conversational recommender systems","venue":null,"work_id":"a7190e5e-4fe7-4837-be84-703253a65d5d","year":2023},"citing_paper":{"arxiv_id":"2605.21987","last_updated":"2026-05-21T04:36:37Z","snapshot_observed_at":"2026-08-16T22:24:16.423084Z","submitted_at":"2026-05-21T04:36:37Z","title":"Generative Conversational Recommender System","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-22T04:35:10.450479Z"},"links":{"cited_paper":"/paper/2305.07961","citing_paper":"/paper/2605.21987"},"observation_digest":"sha256:08c3d127cc5944ced0f93d2e530472abb80c53f63315dd44775657efb45c90d9","observation_id":"9b1625db-7c85-49fb-9fe4-974fe8cf3430","resolution":{"observed_at":"2026-05-22T04:36:03.492098Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.07961","last_updated":"2023-05-16T21:21:46Z","snapshot_observed_at":"2026-08-19T12:14:04.998084Z","submitted_at":"2023-05-13T16:40:07Z","title":"Leveraging Large Language Models in Conversational Recommender Systems","version":2},"cited_work":{"arxiv_id":"2305.07961","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.07961","snapshot_observed_at":"2026-07-03T14:58:32.769100Z","title":"Leveraging large language models in conversational recommender systems","venue":null,"work_id":"a7190e5e-4fe7-4837-be84-703253a65d5d","year":2023},"citing_paper":{"arxiv_id":"2606.00540","last_updated":"2026-05-30T05:14:53Z","snapshot_observed_at":"2026-08-01T17:48:34.431096Z","submitted_at":"2026-05-30T05:14:53Z","title":"Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-06-28T18:41:06.636352Z"},"links":{"cited_paper":"/paper/2305.07961","citing_paper":"/paper/2606.00540"},"observation_digest":"sha256:6552f105747c4eac7a632f61bbb69ef9452c2755fe3329c76e407a604b40e081","observation_id":"a70df647-88cc-4f44-afa7-33e31ec25f77","resolution":{"observed_at":"2026-06-28T18:42:29.150869Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.07961","last_updated":"2023-05-16T21:21:46Z","snapshot_observed_at":"2026-08-19T12:14:04.998084Z","submitted_at":"2023-05-13T16:40:07Z","title":"Leveraging Large Language Models in Conversational Recommender Systems","version":2},"cited_work":{"arxiv_id":"2305.07961","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.07961","snapshot_observed_at":"2026-07-03T14:58:32.769100Z","title":"Leveraging large language models in conversational recommender systems","venue":null,"work_id":"a7190e5e-4fe7-4837-be84-703253a65d5d","year":2023},"citing_paper":{"arxiv_id":"2606.13610","last_updated":"2026-06-11T17:24:14Z","snapshot_observed_at":"2026-08-13T09:05:32.480920Z","submitted_at":"2026-06-11T17:24:14Z","title":"One Polluted Page Is Enough: Evaluating Web Content Pollution in Generative Recommenders","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-06-27T06:51:09.529094Z"},"links":{"cited_paper":"/paper/2305.07961","citing_paper":"/paper/2606.13610"},"observation_digest":"sha256:4338b6a1c456c7281cd1525c657c1ee2c4e1e0a4ad59a8db77b6032183da52eb","observation_id":"92858218-4fde-493b-920f-c696c76f17b4","resolution":{"observed_at":"2026-07-03T14:58:32.770459Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.07961","last_updated":"2023-05-16T21:21:46Z","snapshot_observed_at":"2026-08-19T12:14:04.998084Z","submitted_at":"2023-05-13T16:40:07Z","title":"Leveraging Large Language Models in Conversational Recommender Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.07961","snapshot_observed_at":"2026-08-02T00:57:30.634254Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.14835","last_updated":"2026-07-17T04:42:03Z","snapshot_observed_at":"2026-08-17T12:42:17.050386Z","submitted_at":"2026-07-16T10:58:32Z","title":"LLM-Based Re-Ranking for Real Estate Search","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T00:57:30.634254Z"},"links":{"cited_paper":"/paper/2305.07961","citing_paper":"/paper/2607.14835"},"observation_digest":"sha256:16eb430a8044fd2d6f0d07ab6bf418aa90dcf4474d5061c9371a1074de3e66f7","observation_id":"7677fedc-d005-4019-bd41-98acf4b08dff","resolution":{"observed_at":"2026-08-02T00:57:30.634254Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.07961","last_updated":"2023-05-16T21:21:46Z","snapshot_observed_at":"2026-08-19T12:14:04.998084Z","submitted_at":"2023-05-13T16:40:07Z","title":"Leveraging Large Language Models in Conversational Recommender Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.07961","snapshot_observed_at":"2026-08-04T01:26:33.076330Z","title":"arXiv:2305.07961","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.00123","last_updated":"2026-08-04T07:53:57Z","snapshot_observed_at":"2026-08-13T01:37:32.068984Z","submitted_at":"2026-07-31T11:47:54Z","title":"LLM-OSDA: An Optimal-Stopping Dynamic Auction for Native Advertising in Multi-Turn LLM Conversations","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-04T01:26:33.076330Z"},"links":{"cited_paper":"/paper/2305.07961","citing_paper":"/paper/2608.00123"},"observation_digest":"sha256:a1fd6adec5ae1a25400bb8272c544292ed8d6b0e727241ac15bf53fb3ba673d7","observation_id":"a69f865c-ee67-4887-b1ef-b5f6a7fa5cd8","resolution":{"observed_at":"2026-08-04T01:26:33.076330Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.07961","last_updated":"2023-05-16T21:21:46Z","snapshot_observed_at":"2026-08-19T12:14:04.998084Z","submitted_at":"2023-05-13T16:40:07Z","title":"Leveraging Large Language Models in Conversational Recommender Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.07961","snapshot_observed_at":"2026-08-05T04:30:43.333661Z","title":"arXiv:2305.07961","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.00123","last_updated":"2026-08-04T07:53:57Z","snapshot_observed_at":"2026-08-13T01:37:32.068984Z","submitted_at":"2026-07-31T11:47:54Z","title":"LLM-OSDA: An Optimal-Stopping Dynamic Auction for Native Advertising in Multi-Turn LLM Conversations","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-05T04:30:43.333661Z"},"links":{"cited_paper":"/paper/2305.07961","citing_paper":"/paper/2608.00123"},"observation_digest":"sha256:d2cabf31c1b7a59576751ec2388db3d2d68405430a9a254659e85ee22df2bac2","observation_id":"950f40ba-ac14-4f1f-a949-1b9a8b2d1520","resolution":{"observed_at":"2026-08-05T04:30:43.333661Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.07961","last_updated":"2023-05-16T21:21:46Z","snapshot_observed_at":"2026-08-19T12:14:04.998084Z","submitted_at":"2023-05-13T16:40:07Z","title":"Leveraging Large Language Models in Conversational Recommender Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.07961","snapshot_observed_at":"2026-08-15T14:56:43.824481Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.03091","last_updated":"2026-08-04T04:04:12Z","snapshot_observed_at":"2026-08-18T09:29:09.141324Z","submitted_at":"2026-08-04T04:04:12Z","title":"Position Bias Undermines Preference Consistency in Listwise LLM-Based Reranking","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T14:56:43.824481Z"},"links":{"cited_paper":"/paper/2305.07961","citing_paper":"/paper/2608.03091"},"observation_digest":"sha256:28a07efe967351d1c390dba626716eb2318e17bbeac3f9c69f74477ab60061c6","observation_id":"510c6e73-a37f-4571-9939-dd5385fa8c65","resolution":{"observed_at":"2026-08-15T14:56:43.824481Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.07961","last_updated":"2023-05-16T21:21:46Z","snapshot_observed_at":"2026-08-19T12:14:04.998084Z","submitted_at":"2023-05-13T16:40:07Z","title":"Leveraging Large Language Models in Conversational Recommender Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.07961","snapshot_observed_at":"2026-08-10T04:16:37.576942Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.06632","last_updated":"2026-08-06T22:54:16Z","snapshot_observed_at":"2026-08-17T23:39:55.090199Z","submitted_at":"2026-08-06T22:54:16Z","title":"Shape Your Feed: An LLM-based Agentic System for Conversational Recommendation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T04:16:37.576942Z"},"links":{"cited_paper":"/paper/2305.07961","citing_paper":"/paper/2608.06632"},"observation_digest":"sha256:459131a4ce0426887cd017e88157e306ad7c5d7e44c23ca3a6fbb69ef94cea61","observation_id":"4477c891-8e66-4463-8af1-89977b729051","resolution":{"observed_at":"2026-08-10T04:16:37.576942Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2305.07961/citation-record","integrity":"/paper/2305.07961/integrity","json":"/paper/2305.07961/citation-record.json","paper":"/paper/2305.07961"},"outbound":[],"paper":{"arxiv_id":"2305.07961","last_updated":"2023-05-16T21:21:46Z","latest_version":2,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-19T12:14:04.998084Z","submitted_at":"2023-05-13T16:40:07Z","title":"Leveraging Large Language Models in Conversational Recommender Systems"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:2305.07961."}