{"as_of":"2026-08-09T16:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e2b7c4561f27fa35d56d12dc10596789f543e09ce2accad54b97e5af546f3153","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:02:31.646213Z","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":"2026-08-06T20:02:32.895582Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.03171","last_updated":"2024-06-05T12:03:27Z","snapshot_observed_at":"2026-08-03T06:15:00.437365Z","submitted_at":"2024-06-05T12:03:27Z","title":"High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization","version":1},"cited_work":{"arxiv_id":"2406.03171","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.03171","snapshot_observed_at":"2026-08-06T20:02:32.895582Z","title":"High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization","venue":"stat.ML","work_id":"e1b64e45-5d67-48ea-bffc-6680b668e319","year":2024},"citing_paper":{"arxiv_id":"2507.04194","last_updated":"2025-07-06T00:03:34Z","snapshot_observed_at":"2026-08-09T13:40:49.065307Z","submitted_at":"2025-07-06T00:03:34Z","title":"Mixed-Sample SGD: an End-to-end Analysis of Supervised Transfer Learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T20:02:31.646213Z"},"links":{"cited_paper":"/paper/2406.03171","citing_paper":"/paper/2507.04194"},"observation_digest":"sha256:fa9e6e8e6efa46496dd2423bee51dd3a8220b272c6fed8f173aa266831c9661c","observation_id":"7744b9a8-e53d-4135-a8cd-320d8bfc2189","resolution":{"observed_at":"2026-08-06T20:02:32.903651Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2406.03171/citation-record","integrity":"/paper/2406.03171/integrity","json":"/paper/2406.03171/citation-record.json","paper":"/paper/2406.03171"},"outbound":[],"paper":{"arxiv_id":"2406.03171","last_updated":"2024-06-05T12:03:27Z","latest_version":1,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-03T06:15:00.437365Z","submitted_at":"2024-06-05T12:03:27Z","title":"High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization"},"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 1 inbound Pith citation observation for arXiv:2406.03171."}