{"as_of":"2026-08-09T09:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:17389e2ff37d860e393c094ff4f9af14fb320424c18975656412df16e2b146af","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":"2026-08-09T06:31:02.800959+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":"2026-08-05T20:52:14.872860Z","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":"2026-08-05T20:52:16.043797Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2210.10629","last_updated":"2023-06-04T04:00:05Z","snapshot_observed_at":"2026-07-06T14:07:46.643941Z","submitted_at":"2022-10-13T15:57:40Z","title":"Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems","version":3},"cited_work":{"arxiv_id":"2210.10629","doi":null,"metadata_source":"pith","pith_arxiv_id":"2210.10629","snapshot_observed_at":"2026-08-05T20:52:16.043797Z","title":"Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems","venue":"cs.IR","work_id":"baed4fb8-0bbb-4be2-85a9-f4f3595644f4","year":2022},"citing_paper":{"arxiv_id":"2508.09789","last_updated":"2025-08-13T13:19:31Z","snapshot_observed_at":"2026-08-09T08:34:28.893279Z","submitted_at":"2025-08-13T13:19:31Z","title":"Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T20:52:14.872860Z"},"links":{"cited_paper":"/paper/2210.10629","citing_paper":"/paper/2508.09789"},"observation_digest":"sha256:9138bf5cecbc4f51356358d9f039ca60fa245180435f65c2d465794aa2d5e68f","observation_id":"36bc5dd1-7a63-4e1a-b7d2-e823b8e7094a","resolution":{"observed_at":"2026-08-05T20:52:16.114245Z","resolver_source":"local_arxiv","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"}},{"citation":{"cited_paper":{"arxiv_id":"2210.10629","last_updated":"2023-06-04T04:00:05Z","snapshot_observed_at":"2026-07-06T14:07:46.643941Z","submitted_at":"2022-10-13T15:57:40Z","title":"Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.10629","snapshot_observed_at":"2026-08-01T11:08:03.184342Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.19987","last_updated":"2026-07-23T07:54:02Z","snapshot_observed_at":"2026-08-06T10:43:59.796759Z","submitted_at":"2026-07-22T10:20:40Z","title":"UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction","version":2},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-01T11:08:03.184342Z"},"links":{"cited_paper":"/paper/2210.10629","citing_paper":"/paper/2607.19987"},"observation_digest":"sha256:331fcbe52641baf227b5269b009db72ee72c07e1cb6e1c68524945be87948367","observation_id":"2eb56372-15a7-4ea1-9dcc-63890e699bd6","resolution":{"observed_at":"2026-08-01T11:08:03.184342Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2210.10629/citation-record","integrity":"/paper/2210.10629/integrity","json":"/paper/2210.10629/citation-record.json","paper":"/paper/2210.10629"},"outbound":[],"paper":{"arxiv_id":"2210.10629","last_updated":"2023-06-04T04:00:05Z","latest_version":3,"primary_category":"cs.IR","snapshot_observed_at":"2026-07-06T14:07:46.643941Z","submitted_at":"2022-10-13T15:57:40Z","title":"Tenrec: A Large-scale Multipurpose Benchmark Dataset for 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":"2026-08-09T06:31:02.800959+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 2 inbound Pith citation observations for arXiv:2210.10629."}