{"as_of":"2026-08-09T18:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:220caf93d953ca2d31dad0791df15755ffef235347bab499978ebeb121a1b98a","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":"2026-08-04T14:52:50.559719Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2205.07739","last_updated":"2026-07-24T02:47:02Z","snapshot_observed_at":"2026-08-07T15:44:36.732160Z","submitted_at":"2022-05-16T15:02:44Z","title":"The Role of Pseudo-labels in Self-training Linear Classifiers on High-dimensional Gaussian Mixture Data","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.07739","snapshot_observed_at":"2026-08-04T14:52:50.559719Z","title":"Takahashi, The role of pseudo-labels in self-training linear classiﬁers on high-dimensional gaussian mixture data, arXiv preprint arXiv:2205.07739 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.23212","last_updated":"2026-07-07T08:15:09Z","snapshot_observed_at":"2026-08-08T00:28:37.830758Z","submitted_at":"2025-09-27T09:49:11Z","title":"Replication and Information Extraction in a Minimal Agent-Environment Model","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-04T14:52:50.559719Z"},"links":{"cited_paper":"/paper/2205.07739","citing_paper":"/paper/2509.23212"},"observation_digest":"sha256:4c579981810a363da6f7be9c19d2791f5841c6ea90d883d35c81f46285a6612a","observation_id":"8aa7c8aa-7664-47e0-b350-154df90be3d6","resolution":{"observed_at":"2026-08-04T14:52:50.559719Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.07739","last_updated":"2026-07-24T02:47:02Z","snapshot_observed_at":"2026-08-07T15:44:36.732160Z","submitted_at":"2022-05-16T15:02:44Z","title":"The Role of Pseudo-labels in Self-training Linear Classifiers on High-dimensional Gaussian Mixture Data","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.07739","snapshot_observed_at":"2026-07-13T04:24:43.867063Z","title":"arXiv preprint arXiv:2205.07739 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.09250","last_updated":"2026-07-10T10:01:11Z","snapshot_observed_at":"2026-08-08T02:18:28.425569Z","submitted_at":"2026-07-10T10:01:11Z","title":"Influence Diagnostics in High-dimensional M-estimation: Precise Asymptotics","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-07-13T04:24:43.867063Z"},"links":{"cited_paper":"/paper/2205.07739","citing_paper":"/paper/2607.09250"},"observation_digest":"sha256:7c52e1341679e75ab699c3ebca7f414beed817edf47a7d313207b1a576be27fd","observation_id":"cd107778-4f1f-4704-9102-ac4e348c0d1f","resolution":{"observed_at":"2026-07-13T04:24:43.867063Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2205.07739/citation-record","integrity":"/paper/2205.07739/integrity","json":"/paper/2205.07739/citation-record.json","paper":"/paper/2205.07739"},"outbound":[],"paper":{"arxiv_id":"2205.07739","last_updated":"2026-07-24T02:47:02Z","latest_version":4,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-07T15:44:36.732160Z","submitted_at":"2022-05-16T15:02:44Z","title":"The Role of Pseudo-labels in Self-training Linear Classifiers on High-dimensional Gaussian Mixture Data"},"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:2205.07739."}