{"as_of":"2026-08-07T08:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c9526bbe83cdd074c6c8a16b614e648e84822625a7639a1b4c66f853b826e978","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T01:00:05.036643Z","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":"2026-07-04T12:09:48.844608Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.13112","last_updated":"2023-11-03T02:49:46Z","snapshot_observed_at":"2026-07-06T15:30:42.173342Z","submitted_at":"2023-05-22T15:12:43Z","title":"Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.13112","snapshot_observed_at":"2026-08-07T01:00:05.036643Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.17281","last_updated":"2025-06-14T08:20:15Z","snapshot_observed_at":"2026-08-07T00:48:44.224867Z","submitted_at":"2025-06-14T08:20:15Z","title":"CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T01:00:05.036643Z"},"links":{"cited_paper":"/paper/2305.13112","citing_paper":"/paper/2506.17281"},"observation_digest":"sha256:04180baa5ed3b5ed300ce836208549a2da6564166700eac69f4ef139dfcce86d","observation_id":"83b2b72e-75e2-4280-8e18-40df04c975a7","resolution":{"observed_at":"2026-08-07T01:00:05.036643Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.13112","last_updated":"2023-11-03T02:49:46Z","snapshot_observed_at":"2026-07-06T15:30:42.173342Z","submitted_at":"2023-05-22T15:12:43Z","title":"Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.13112","snapshot_observed_at":"2026-08-06T20:29:42.353044Z","title":"Rethinking the evaluation for conversational recommendation in the era of large language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.02626","last_updated":"2025-07-03T13:52:24Z","snapshot_observed_at":"2026-08-06T20:22:15.523347Z","submitted_at":"2025-07-03T13:52:24Z","title":"VRAgent-R1: Boosting Video Recommendation with MLLM-based Agents via Reinforcement Learning","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T20:29:42.353044Z"},"links":{"cited_paper":"/paper/2305.13112","citing_paper":"/paper/2507.02626"},"observation_digest":"sha256:39869c297651222fd8a51616c0a983c8af27e228077746df7e907dd85c591fe3","observation_id":"b5f40aa9-d4ea-4612-b554-e62160040c12","resolution":{"observed_at":"2026-08-06T20:29:42.353044Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.13112","last_updated":"2023-11-03T02:49:46Z","snapshot_observed_at":"2026-07-06T15:30:42.173342Z","submitted_at":"2023-05-22T15:12:43Z","title":"Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.13112","snapshot_observed_at":"2026-08-06T18:52:26.292247Z","title":"X., W ang, J., and Wen, J.-R","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.07251","last_updated":"2025-07-09T19:48:33Z","snapshot_observed_at":"2026-08-06T18:43:12.662670Z","submitted_at":"2025-07-09T19:48:33Z","title":"A Language-Driven Framework for Improving Personalized Recommendations: Merging LLMs with Traditional Algorithms","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T18:52:26.292247Z"},"links":{"cited_paper":"/paper/2305.13112","citing_paper":"/paper/2507.07251"},"observation_digest":"sha256:9cf09b8e36e76355e417769b11566d4725c2586030c3788cf59360224585e4ab","observation_id":"c384cd05-199e-45ed-b7f8-830af9528212","resolution":{"observed_at":"2026-08-06T18:52:26.292247Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.13112","last_updated":"2023-11-03T02:49:46Z","snapshot_observed_at":"2026-07-06T15:30:42.173342Z","submitted_at":"2023-05-22T15:12:43Z","title":"Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.13112","snapshot_observed_at":"2026-08-05T14:24:24.104785Z","title":"Rethinking the evaluation for conversational recommendation in the era of large language models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.21354","last_updated":"2025-08-29T06:40:52Z","snapshot_observed_at":"2026-08-05T14:24:20.177683Z","submitted_at":"2025-08-29T06:40:52Z","title":"Evaluating Recabilities of Foundation Models: A Multi-Domain, Multi-Dataset Benchmark","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T14:24:24.104785Z"},"links":{"cited_paper":"/paper/2305.13112","citing_paper":"/paper/2508.21354"},"observation_digest":"sha256:d864490a60520ca5a3a5c9412fab4c883ca832ae8e6fa0116d09c75625439c59","observation_id":"43b18f6b-b4c0-4bd1-bf96-58f60edd7fd0","resolution":{"observed_at":"2026-08-05T14:24:24.104785Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.13112","last_updated":"2023-11-03T02:49:46Z","snapshot_observed_at":"2026-07-06T15:30:42.173342Z","submitted_at":"2023-05-22T15:12:43Z","title":"Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models","version":2},"cited_work":{"arxiv_id":"2305.13112","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.13112","snapshot_observed_at":"2026-07-04T12:09:48.844608Z","title":null,"venue":null,"work_id":"fb907044-4cdc-4ed2-8807-9a7d0c53bb63","year":2023},"citing_paper":{"arxiv_id":"2604.03671","last_updated":"2026-04-04T09:52:30Z","snapshot_observed_at":"2026-08-02T07:25:05.287765Z","submitted_at":"2026-04-04T09:52:30Z","title":"User Simulator-Guided Multi-Turn Preference Optimization for Reasoning LLM-based Conversational Recommendation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-13T17:24:18.413112Z"},"links":{"cited_paper":"/paper/2305.13112","citing_paper":"/paper/2604.03671"},"observation_digest":"sha256:961d5f3bc0fe9cf792b677dd3b2d219004e04e96c64a70a7b9530455fa24521f","observation_id":"d77f9783-2dc2-4850-baaf-cc2c74673aaa","resolution":{"observed_at":"2026-05-13T17:28:02.584217Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.13112","last_updated":"2023-11-03T02:49:46Z","snapshot_observed_at":"2026-07-06T15:30:42.173342Z","submitted_at":"2023-05-22T15:12:43Z","title":"Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models","version":2},"cited_work":{"arxiv_id":"2305.13112","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.13112","snapshot_observed_at":"2026-07-04T12:09:48.844608Z","title":null,"venue":null,"work_id":"fb907044-4cdc-4ed2-8807-9a7d0c53bb63","year":2023},"citing_paper":{"arxiv_id":"2606.22803","last_updated":"2026-06-23T02:56:13Z","snapshot_observed_at":"2026-08-06T09:22:50.576416Z","submitted_at":"2026-06-22T03:26:08Z","title":"Towards Fast Domain Adaptation and Fine-Grained User Simulation for Evaluating Conversational Recommender Systems","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-26T07:13:21.198407Z"},"links":{"cited_paper":"/paper/2305.13112","citing_paper":"/paper/2606.22803"},"observation_digest":"sha256:f24837b7e3714b3fe461e0c8c403ebf7f3785d50706616b4bd58aaddf4b6a24b","observation_id":"d00edcdc-a0bd-4728-89db-834db473e053","resolution":{"observed_at":"2026-07-04T12:09:48.845827Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2305.13112/citation-record","integrity":"/paper/2305.13112/integrity","json":"/paper/2305.13112/citation-record.json","paper":"/paper/2305.13112"},"outbound":[],"paper":{"arxiv_id":"2305.13112","last_updated":"2023-11-03T02:49:46Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T15:30:42.173342Z","submitted_at":"2023-05-22T15:12:43Z","title":"Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2305.13112."}