{"as_of":"2026-08-18T11:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:595bcbffa9d3cc8a102883366ee5a1e0dbb4c501f6eeaf4018105f15d13ad9cc","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T04:18:57.135291Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-10T16:17:34.521934Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.02182","last_updated":"2023-08-24T06:10:48Z","snapshot_observed_at":"2026-08-16T15:35:56.202638Z","submitted_at":"2023-05-03T15:24:41Z","title":"Uncovering ChatGPT's Capabilities in Recommender Systems","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.02182","snapshot_observed_at":"2026-08-10T19:28:32.786941Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.10120","last_updated":"2025-05-27T11:01:29Z","snapshot_observed_at":"2026-08-15T16:27:36.855506Z","submitted_at":"2025-01-17T11:12:28Z","title":"PaSa: An LLM Agent for Comprehensive Academic Paper Search","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T19:28:32.786941Z"},"links":{"cited_paper":"/paper/2305.02182","citing_paper":"/paper/2501.10120"},"observation_digest":"sha256:ae1e625bb3241c66869f679764155dc10df88486de1413f4003cb590361abc34","observation_id":"e1ff8ad6-b97f-4d4c-94bf-3071378eb4f4","resolution":{"observed_at":"2026-08-10T19:28:32.786941Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.02182","last_updated":"2023-08-24T06:10:48Z","snapshot_observed_at":"2026-08-16T15:35:56.202638Z","submitted_at":"2023-05-03T15:24:41Z","title":"Uncovering ChatGPT's Capabilities in Recommender Systems","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.02182","snapshot_observed_at":"2026-08-10T16:21:30.186459Z","title":"arXiv preprint arXiv:2305.02182 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13344","last_updated":"2025-01-23T03:05:13Z","snapshot_observed_at":"2026-08-13T11:43:00.279755Z","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":2023,"source":"pdf_text","source_observed_at":"2026-08-10T16:21:30.186459Z"},"links":{"cited_paper":"/paper/2305.02182","citing_paper":"/paper/2501.13344"},"observation_digest":"sha256:a8c0b61fa39e1fec2b758effd446e5ddce4e58efd3ae325a8e071c271bfd4932","observation_id":"74ba3814-e0a7-4539-a925-00e6b45a43f2","resolution":{"observed_at":"2026-08-10T16:21:30.186459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.02182","last_updated":"2023-08-24T06:10:48Z","snapshot_observed_at":"2026-08-16T15:35:56.202638Z","submitted_at":"2023-05-03T15:24:41Z","title":"Uncovering ChatGPT's Capabilities in Recommender Systems","version":3},"cited_work":{"arxiv_id":"2305.02182","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.02182","snapshot_observed_at":"2026-08-10T16:17:34.521934Z","title":"Uncovering ChatGPT's Capabilities in Recommender Systems","venue":"cs.IR","work_id":"f371c170-86e3-47ab-a517-8ad03db86610","year":2023},"citing_paper":{"arxiv_id":"2501.13391","last_updated":"2025-01-23T05:24:18Z","snapshot_observed_at":"2026-08-17T15:44:24.299140Z","submitted_at":"2025-01-23T05:24:18Z","title":"Can Large Language Models Understand Preferences in Personalized Recommendation?","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-10T16:17:33.506329Z"},"links":{"cited_paper":"/paper/2305.02182","citing_paper":"/paper/2501.13391"},"observation_digest":"sha256:2c67b1cb541afc7b1d72ba229a2fd9ba2c98e826c92c0f64ef55de287d5c2343","observation_id":"981c745c-208e-408b-aa19-f42b9b654ce0","resolution":{"observed_at":"2026-08-10T16:17:34.529562Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.02182","last_updated":"2023-08-24T06:10:48Z","snapshot_observed_at":"2026-08-16T15:35:56.202638Z","submitted_at":"2023-05-03T15:24:41Z","title":"Uncovering ChatGPT's Capabilities in Recommender Systems","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.02182","snapshot_observed_at":"2026-08-05T19:08:28.474836Z","title":"Uncovering chatgpt’s capabilities in recommender systems","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.09689","last_updated":"2025-08-18T22:14:57Z","snapshot_observed_at":"2026-08-16T10:08:08.562126Z","submitted_at":"2025-08-18T22:14:57Z","title":"Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T19:08:28.474836Z"},"links":{"cited_paper":"/paper/2305.02182","citing_paper":"/paper/2509.09689"},"observation_digest":"sha256:e9beb53491f2c27e70ecad9d02c692a3b33719766b5c9836150166056312046a","observation_id":"5aa97748-fcc9-4a97-9513-0dd195a4307b","resolution":{"observed_at":"2026-08-05T19:08:28.474836Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.02182","last_updated":"2023-08-24T06:10:48Z","snapshot_observed_at":"2026-08-16T15:35:56.202638Z","submitted_at":"2023-05-03T15:24:41Z","title":"Uncovering ChatGPT's Capabilities in Recommender Systems","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.02182","snapshot_observed_at":"2026-08-14T04:18:57.135291Z","title":"Uncovering ChatGPT’s ca- pabilities in recommender systems.arXiv preprint arXiv:2305.02182, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.10050","last_updated":"2026-08-10T14:46:10Z","snapshot_observed_at":"2026-08-18T06:26:09.347798Z","submitted_at":"2026-08-10T14:46:10Z","title":"Observational Policy Ranking for SMB Financial Guidance from Multi-Action Accounting Logs","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T04:18:57.135291Z"},"links":{"cited_paper":"/paper/2305.02182","citing_paper":"/paper/2608.10050"},"observation_digest":"sha256:4d406d0a304f93e2d4431cd74b3cac046caca0954c116897215c67941303d66b","observation_id":"533107f4-b3f7-4256-b043-3196376480e7","resolution":{"observed_at":"2026-08-14T04:18:57.135291Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2305.02182/citation-record","integrity":"/paper/2305.02182/integrity","json":"/paper/2305.02182/citation-record.json","paper":"/paper/2305.02182"},"outbound":[],"paper":{"arxiv_id":"2305.02182","last_updated":"2023-08-24T06:10:48Z","latest_version":3,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-16T15:35:56.202638Z","submitted_at":"2023-05-03T15:24:41Z","title":"Uncovering ChatGPT's Capabilities in 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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.02182."}