{"as_of":"2026-08-09T23:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:aaa6b35cd0dbd4d4bd09de0c29b6a6fa4cf58ec08b0ea15544bb23ec07b517c4","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":"2026-08-09T06:31:02.800959+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":"2026-08-07T19:39:03.773227Z","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":"2026-05-13T17:28:02.561524Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.09738","last_updated":"2024-03-25T23:53:01Z","snapshot_observed_at":"2026-07-06T17:44:49.990624Z","submitted_at":"2024-03-13T18:16:21Z","title":"Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.09738","snapshot_observed_at":"2026-08-07T19:39:03.773227Z","title":"Evaluating large language models as generative user simulators for conversational recommendation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.10050","last_updated":"2025-02-14T09:57:07Z","snapshot_observed_at":"2026-08-08T03:23:23.737248Z","submitted_at":"2025-02-14T09:57:07Z","title":"A Survey on LLM-powered Agents for Recommender Systems","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T19:39:03.773227Z"},"links":{"cited_paper":"/paper/2403.09738","citing_paper":"/paper/2502.10050"},"observation_digest":"sha256:80786e921a641856cb87d02a8a575069da0ec5e0196f8b415e62532788721afe","observation_id":"1394342d-548c-464a-95f7-9e837a41adac","resolution":{"observed_at":"2026-08-07T19:39:03.773227Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.09738","last_updated":"2024-03-25T23:53:01Z","snapshot_observed_at":"2026-07-06T17:44:49.990624Z","submitted_at":"2024-03-13T18:16:21Z","title":"Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.09738","snapshot_observed_at":"2026-08-07T11:36:38.601971Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.01859","last_updated":"2025-06-02T16:48:11Z","snapshot_observed_at":"2026-08-07T23:24:20.735513Z","submitted_at":"2025-06-02T16:48:11Z","title":"CONFETTI: Conversational Function-Calling Evaluation Through Turn-Level Interactions","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T11:36:38.601971Z"},"links":{"cited_paper":"/paper/2403.09738","citing_paper":"/paper/2506.01859"},"observation_digest":"sha256:0e21906440e2997ba26e955e91d0351dbc3259094e6d13eaff16a5ca4d1e1982","observation_id":"62a4ed61-94b7-4149-b509-928b82e2af47","resolution":{"observed_at":"2026-08-07T11:36:38.601971Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.09738","last_updated":"2024-03-25T23:53:01Z","snapshot_observed_at":"2026-07-06T17:44:49.990624Z","submitted_at":"2024-03-13T18:16:21Z","title":"Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.09738","snapshot_observed_at":"2026-08-04T17:56:38.869320Z","title":"Evaluating large language models as generative user simulators for conversational recommendation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.10397","last_updated":"2026-07-25T20:09:07Z","snapshot_observed_at":"2026-08-07T01:01:23.391389Z","submitted_at":"2025-09-12T16:44:34Z","title":"RecoWorld: Building Simulated Environments for Agentic Recommender Systems","version":3},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-04T17:56:38.869320Z"},"links":{"cited_paper":"/paper/2403.09738","citing_paper":"/paper/2509.10397"},"observation_digest":"sha256:837e2eb5ce5dcabad00ef2140dbd3eb51849c851ae973eb834bd44d9e4ce8e0c","observation_id":"7db04a51-54ee-4542-8586-b1491b43e33c","resolution":{"observed_at":"2026-08-04T17:56:38.869320Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.09738","last_updated":"2024-03-25T23:53:01Z","snapshot_observed_at":"2026-07-06T17:44:49.990624Z","submitted_at":"2024-03-13T18:16:21Z","title":"Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.09738","snapshot_observed_at":"2026-08-04T05:51:29.358976Z","title":"Evaluating large language models as generative user simulators for conversational recommendation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.11245","last_updated":"2026-07-31T22:23:28Z","snapshot_observed_at":"2026-08-08T21:24:42.455948Z","submitted_at":"2026-03-11T19:12:31Z","title":"Mind the Sim2Real Gap in User Simulation for Agentic Tasks","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-04T05:51:29.358976Z"},"links":{"cited_paper":"/paper/2403.09738","citing_paper":"/paper/2603.11245"},"observation_digest":"sha256:5d899d018769b1c9692472e0162e1216c72cd031d1a6204aa76b55cb9dd99033","observation_id":"ac863992-6f07-4634-8d3c-9393ee090205","resolution":{"observed_at":"2026-08-04T05:51:29.358976Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.09738","last_updated":"2024-03-25T23:53:01Z","snapshot_observed_at":"2026-07-06T17:44:49.990624Z","submitted_at":"2024-03-13T18:16:21Z","title":"Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation","version":4},"cited_work":{"arxiv_id":"2403.09738","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.09738","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"77b3ac86-c334-463c-a4f9-b89425f462b0","year":2024},"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":42,"source":"pdf_text","source_observed_at":"2026-05-13T17:24:18.413112Z"},"links":{"cited_paper":"/paper/2403.09738","citing_paper":"/paper/2604.03671"},"observation_digest":"sha256:7b233957394209f748f23939256c2aa825d5c99f00c003b255c1976802fd2589","observation_id":"951d67df-b2b8-4798-8972-b540732cfc64","resolution":{"observed_at":"2026-05-13T17:28:02.562737Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2403.09738/citation-record","integrity":"/paper/2403.09738/integrity","json":"/paper/2403.09738/citation-record.json","paper":"/paper/2403.09738"},"outbound":[],"paper":{"arxiv_id":"2403.09738","last_updated":"2024-03-25T23:53:01Z","latest_version":4,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T17:44:49.990624Z","submitted_at":"2024-03-13T18:16:21Z","title":"Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2403.09738."}