{"as_of":"2026-08-07T22:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a36a29975f288bc2ebdbd2ed46739b74a00bc5c6347fa5a3e12a55811ae10d7e","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:21:02.132060Z","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":"2026-08-05T10:50:57.884326Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.02141","last_updated":"2024-09-16T09:21:15Z","snapshot_observed_at":"2026-08-03T19:41:11.779577Z","submitted_at":"2024-05-03T14:44:04Z","title":"Multi-Objective Recommendation via Multivariate Policy Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.02141","snapshot_observed_at":"2026-08-07T11:21:02.132060Z","title":"Multi-objective recommendation via multivariate policy learning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03062","last_updated":"2026-07-10T15:53:13Z","snapshot_observed_at":"2026-08-07T11:07:06.154686Z","submitted_at":"2025-06-03T16:41:11Z","title":"Multi-Metric Adaptive Experimental Design Under a Fixed Budget with Validation","version":2},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-07T11:21:02.132060Z"},"links":{"cited_paper":"/paper/2405.02141","citing_paper":"/paper/2506.03062"},"observation_digest":"sha256:c9d7860ea89aae7228258982d5c651bbeafe34cf92d25620c0340f2bdfbee5aa","observation_id":"28f65c2b-3132-45cd-ab55-06b4c97c9206","resolution":{"observed_at":"2026-08-07T11:21:02.132060Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.02141","last_updated":"2024-09-16T09:21:15Z","snapshot_observed_at":"2026-08-03T19:41:11.779577Z","submitted_at":"2024-05-03T14:44:04Z","title":"Multi-Objective Recommendation via Multivariate Policy Learning","version":2},"cited_work":{"arxiv_id":"2405.02141","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.02141","snapshot_observed_at":"2026-08-05T10:50:57.884326Z","title":"Multi-Objective Recommendation via Multivariate Policy Learning","venue":"cs.IR","work_id":"d7eb86bf-bb28-4480-bc18-8bf016f9de5f","year":2024},"citing_paper":{"arxiv_id":"2509.03661","last_updated":"2025-09-03T19:24:03Z","snapshot_observed_at":"2026-08-06T04:58:32.334220Z","submitted_at":"2025-09-03T19:24:03Z","title":"ACT: Automated Constraint Targeting for Multi-Objective Recommender Systems","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T10:50:57.679044Z"},"links":{"cited_paper":"/paper/2405.02141","citing_paper":"/paper/2509.03661"},"observation_digest":"sha256:deedd288701a86afbfcf6f479b6cd8e388420e92d43fc99954d625f841caf3ce","observation_id":"a649527e-53fa-4ad5-ae21-319c21e0984d","resolution":{"observed_at":"2026-08-05T10:50:57.888686Z","resolver_source":"local_arxiv","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/2405.02141/citation-record","integrity":"/paper/2405.02141/integrity","json":"/paper/2405.02141/citation-record.json","paper":"/paper/2405.02141"},"outbound":[],"paper":{"arxiv_id":"2405.02141","last_updated":"2024-09-16T09:21:15Z","latest_version":2,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-03T19:41:11.779577Z","submitted_at":"2024-05-03T14:44:04Z","title":"Multi-Objective Recommendation via Multivariate Policy Learning"},"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 2 inbound Pith citation observations for arXiv:2405.02141."}