{"as_of":"2026-08-09T09:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7d3c2d625d745aa91f148824228fd4815143df2d36137d0bf4ba4867b0d7b9a1","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:04:30.343156Z","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":"2026-05-16T07:32:23.821867Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2202.04166","last_updated":"2022-02-08T22:02:31Z","snapshot_observed_at":"2026-07-06T12:35:49.491041Z","submitted_at":"2022-02-08T22:02:31Z","title":"The Lifecycle of a Statistical Model: Model Failure Detection, Identification, and Refitting","version":1},"cited_work":{"arxiv_id":"2202.04166","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2202.04166","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The lifecycle of a statistical model: Model failure detection, identification, and refitting.arXiv preprint arXiv:2202.04166","venue":null,"work_id":"e9ad0303-630a-47e4-b025-938b348d7bc0","year":2022},"citing_paper":{"arxiv_id":"2411.11824","last_updated":"2026-03-06T03:35:34Z","snapshot_observed_at":"2026-07-06T19:52:07.342252Z","submitted_at":"2024-11-18T18:44:00Z","title":"Theoretical Foundations of Conformal Prediction","version":5},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-16T07:32:23.756013Z"},"links":{"cited_paper":"/paper/2202.04166","citing_paper":"/paper/2411.11824"},"observation_digest":"sha256:9b9c99ec73fac86799e6ec6367d8af5575ba380d3e0e4498fc1083385edb15d8","observation_id":"aae643f4-f8d5-4a81-92f3-90cba93408fe","resolution":{"observed_at":"2026-05-16T07:32:23.823914Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2202.04166","last_updated":"2022-02-08T22:02:31Z","snapshot_observed_at":"2026-07-06T12:35:49.491041Z","submitted_at":"2022-02-08T22:02:31Z","title":"The Lifecycle of a Statistical Model: Model Failure Detection, Identification, and Refitting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.04166","snapshot_observed_at":"2026-08-07T12:04:30.343156Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.00756","last_updated":"2025-05-31T23:50:54Z","snapshot_observed_at":"2026-08-07T11:56:33.394882Z","submitted_at":"2025-05-31T23:50:54Z","title":"\"Who experiences large model decay and why?\" A Hierarchical Framework for Diagnosing Heterogeneous Performance Drift","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T12:04:30.343156Z"},"links":{"cited_paper":"/paper/2202.04166","citing_paper":"/paper/2506.00756"},"observation_digest":"sha256:e282f53a4775b58890c5020d9d379538ef65208cb6cfbd8cfe3ca433f4edf3ab","observation_id":"dd06decf-01c5-4c39-986c-4ffa3b104c70","resolution":{"observed_at":"2026-08-07T12:04:30.343156Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.04166","last_updated":"2022-02-08T22:02:31Z","snapshot_observed_at":"2026-07-06T12:35:49.491041Z","submitted_at":"2022-02-08T22:02:31Z","title":"The Lifecycle of a Statistical Model: Model Failure Detection, Identification, and Refitting","version":1},"cited_work":{"arxiv_id":"2202.04166","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2202.04166","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The lifecycle of a statistical model: Model failure detection, identification, and refitting.arXiv preprint arXiv:2202.04166","venue":null,"work_id":"e9ad0303-630a-47e4-b025-938b348d7bc0","year":2022},"citing_paper":{"arxiv_id":"2604.11200","last_updated":"2026-04-13T08:56:51Z","snapshot_observed_at":"2026-08-02T15:34:18.635189Z","submitted_at":"2026-04-13T08:56:51Z","title":"ShapShift: Explaining Model Prediction Shifts with Subgroup Conditional Shapley Values","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T16:13:22.301367Z"},"links":{"cited_paper":"/paper/2202.04166","citing_paper":"/paper/2604.11200"},"observation_digest":"sha256:11325f6602d080b7d0b55e69186bf1b3e2bdfaf66ec906ce41347dfe7dfe3a16","observation_id":"b08795b7-02e0-4875-986b-2be769ad09b4","resolution":{"observed_at":"2026-05-11T09:10:59.380087Z","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/2202.04166/citation-record","integrity":"/paper/2202.04166/integrity","json":"/paper/2202.04166/citation-record.json","paper":"/paper/2202.04166"},"outbound":[],"paper":{"arxiv_id":"2202.04166","last_updated":"2022-02-08T22:02:31Z","latest_version":1,"primary_category":"stat.ME","snapshot_observed_at":"2026-07-06T12:35:49.491041Z","submitted_at":"2022-02-08T22:02:31Z","title":"The Lifecycle of a Statistical Model: Model Failure Detection, Identification, and Refitting"},"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 3 inbound Pith citation observations for arXiv:2202.04166."}