{"as_of":"2026-08-10T00:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8c9659a81e94de28e2f57fc217889e9c914e7eb5f8e778b7e87a04d47d222416","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":"2026-08-05T05:03:46.269064Z","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":"2026-05-19T21:42:48.218469Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1506.06201","last_updated":"2015-06-20T05:50:33Z","snapshot_observed_at":"2026-08-09T16:13:37.244603Z","submitted_at":"2015-06-20T05:50:33Z","title":"Bayesian linear mixed models using Stan: A tutorial for psychologists, linguists, and cognitive scientists","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1506.06201","snapshot_observed_at":"2026-08-05T05:03:46.269064Z","title":"arXiv preprint arXiv:1506.06201","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2509.05846","last_updated":"2025-09-06T22:04:49Z","snapshot_observed_at":"2026-08-09T16:13:55.944963Z","submitted_at":"2025-09-06T22:04:49Z","title":"Comparative study of Bayesian and Frequentist methods for epidemic forecasting: Insights from simulated and historical data","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-05T05:03:46.269064Z"},"links":{"cited_paper":"/paper/1506.06201","citing_paper":"/paper/2509.05846"},"observation_digest":"sha256:3c8caf339a3a9437c7512c82566484f3e30ddcde8c5e615eb0c55f77408830c3","observation_id":"57ea84c0-731a-4798-b98e-c6d29cfd2d2a","resolution":{"observed_at":"2026-08-05T05:03:46.269064Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1506.06201","last_updated":"2015-06-20T05:50:33Z","snapshot_observed_at":"2026-08-09T16:13:37.244603Z","submitted_at":"2015-06-20T05:50:33Z","title":"Bayesian linear mixed models using Stan: A tutorial for psychologists, linguists, and cognitive scientists","version":1},"cited_work":{"arxiv_id":"1506.06201","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1506.06201","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Bayesian linear mixed models using stan: A tutorial for psy- chologists, linguists, and cognitive scientists","venue":null,"work_id":"55b57922-67e2-4f8d-b8b8-71d081ce4cb3","year":2015},"citing_paper":{"arxiv_id":"2605.16245","last_updated":"2026-05-15T17:49:24Z","snapshot_observed_at":"2026-08-06T00:17:59.730711Z","submitted_at":"2026-05-15T17:49:24Z","title":"AI-Mediated Communication Can Steer Collective Opinion","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-19T21:38:51.899043Z"},"links":{"cited_paper":"/paper/1506.06201","citing_paper":"/paper/2605.16245"},"observation_digest":"sha256:03969d379c0713cf5265fb0572a9dac5daf8f727f4ae54116f3d54e10a80344f","observation_id":"95c30a54-d3e8-4434-aeec-c02a50ca29cd","resolution":{"observed_at":"2026-05-19T21:42:48.220396Z","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/1506.06201/citation-record","integrity":"/paper/1506.06201/integrity","json":"/paper/1506.06201/citation-record.json","paper":"/paper/1506.06201"},"outbound":[],"paper":{"arxiv_id":"1506.06201","last_updated":"2015-06-20T05:50:33Z","latest_version":1,"primary_category":"stat.ME","snapshot_observed_at":"2026-08-09T16:13:37.244603Z","submitted_at":"2015-06-20T05:50:33Z","title":"Bayesian linear mixed models using Stan: A tutorial for psychologists, linguists, and cognitive scientists"},"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 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1506.06201."}