{"as_of":"2026-08-09T07:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a51b93269f60315d2fe8605e2c4315b20d5831d0b5854b36ae1f9d0c4a86f20d","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":"2026-08-08T14:40:01.292231Z","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":"2026-08-07T00:30:06.280260Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1812.04597","last_updated":"2019-02-28T18:11:05Z","snapshot_observed_at":"2026-07-06T07:20:34.448949Z","submitted_at":"2018-12-11T18:32:52Z","title":"Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.04597","snapshot_observed_at":"2026-08-08T14:40:01.292231Z","title":"Preventing failures due to dataset shift: Learning predictive models that transport, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2502.06693","last_updated":"2025-02-10T17:17:09Z","snapshot_observed_at":"2026-08-08T14:35:21.728714Z","submitted_at":"2025-02-10T17:17:09Z","title":"Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-08-08T14:40:01.292231Z"},"links":{"cited_paper":"/paper/1812.04597","citing_paper":"/paper/2502.06693"},"observation_digest":"sha256:636d6db294567ae8fb56aa1c934e544078bcf66d90ca30c98d392f5294251120","observation_id":"1a017385-e63c-4d45-b08a-b878337d9b86","resolution":{"observed_at":"2026-08-08T14:40:01.292231Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1812.04597","last_updated":"2019-02-28T18:11:05Z","snapshot_observed_at":"2026-07-06T07:20:34.448949Z","submitted_at":"2018-12-11T18:32:52Z","title":"Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport","version":2},"cited_work":{"arxiv_id":"1812.04597","doi":null,"metadata_source":"pith","pith_arxiv_id":"1812.04597","snapshot_observed_at":"2026-08-07T00:30:06.280260Z","title":"Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport","venue":"stat.ML","work_id":"e4a5be63-9e59-4fae-a68a-c03472471ddc","year":2018},"citing_paper":{"arxiv_id":"2506.14540","last_updated":"2025-06-30T11:59:31Z","snapshot_observed_at":"2026-08-08T14:20:49.493967Z","submitted_at":"2025-06-17T14:01:39Z","title":"Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs","version":3},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-07T00:30:03.464992Z"},"links":{"cited_paper":"/paper/1812.04597","citing_paper":"/paper/2506.14540"},"observation_digest":"sha256:03fb1ab229de0670867e40fb471e86a18c9176fba8a00d7ea71195c4b6ad2dce","observation_id":"21d11fc6-e061-42f2-bd79-f3e0cfea950e","resolution":{"observed_at":"2026-08-07T00:30:06.382384Z","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":"1812.04597","last_updated":"2019-02-28T18:11:05Z","snapshot_observed_at":"2026-07-06T07:20:34.448949Z","submitted_at":"2018-12-11T18:32:52Z","title":"Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.04597","snapshot_observed_at":"2026-08-04T20:20:04.810996Z","title":"Preventing failures due to dataset shift: Learning predictive models that transport.arXiv[stat.ML]","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.08679","last_updated":"2025-09-10T15:19:04Z","snapshot_observed_at":"2026-08-04T20:20:04.298647Z","submitted_at":"2025-09-10T15:19:04Z","title":"Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T20:20:04.810996Z"},"links":{"cited_paper":"/paper/1812.04597","citing_paper":"/paper/2509.08679"},"observation_digest":"sha256:011d09afda88808f1fc6ea1c34f1fd09fb7d65152f144fd5230a3e7d1f6dab13","observation_id":"549d0c46-3568-4d3b-9470-a089905b4a90","resolution":{"observed_at":"2026-08-04T20:20:04.810996Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1812.04597/citation-record","integrity":"/paper/1812.04597/integrity","json":"/paper/1812.04597/citation-record.json","paper":"/paper/1812.04597"},"outbound":[],"paper":{"arxiv_id":"1812.04597","last_updated":"2019-02-28T18:11:05Z","latest_version":2,"primary_category":"stat.ML","snapshot_observed_at":"2026-07-06T07:20:34.448949Z","submitted_at":"2018-12-11T18:32:52Z","title":"Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport"},"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:1812.04597."}