{"as_of":"2026-08-15T17:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e9646b3eb4bba2a38c098ff95b80dfb137bf1643c664c1831410969076bb648d","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":"2026-08-15T06:32:42.880941+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":"2026-08-05T14:00:59.862928Z","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":"2026-05-12T10:01:29.163887Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.06274","last_updated":"2025-08-08T12:47:47Z","snapshot_observed_at":"2026-08-05T22:52:13.768527Z","submitted_at":"2025-08-08T12:47:47Z","title":"Latent confounding in high-dimensional nonlinear models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.06274","snapshot_observed_at":"2026-08-05T14:00:59.862928Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.00196","last_updated":"2025-08-29T19:13:52Z","snapshot_observed_at":"2026-08-05T14:00:56.810233Z","submitted_at":"2025-08-29T19:13:52Z","title":"G-HIVE: Parameter Estimation and Approximate Inference for Multivariate Response Generalized Linear Models with Hidden Variables","version":1},"reference_index":1863,"source":"pdf_text","source_observed_at":"2026-08-05T14:00:59.862928Z"},"links":{"cited_paper":"/paper/2508.06274","citing_paper":"/paper/2509.00196"},"observation_digest":"sha256:ff33cce814a7afcc95185468d53d939d2b1ed9c64215e9811186cc807cc0c25e","observation_id":"35afba08-fc8c-4557-8831-31ab122bcf66","resolution":{"observed_at":"2026-08-05T14:00:59.862928Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.06274","last_updated":"2025-08-08T12:47:47Z","snapshot_observed_at":"2026-08-05T22:52:13.768527Z","submitted_at":"2025-08-08T12:47:47Z","title":"Latent confounding in high-dimensional nonlinear models","version":1},"cited_work":{"arxiv_id":"2508.06274","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.06274","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"and Shah, R","venue":null,"work_id":"cf1fbf46-f8a6-40a5-a279-0cb6f364125f","year":2025},"citing_paper":{"arxiv_id":"2604.27305","last_updated":"2026-04-30T01:32:33Z","snapshot_observed_at":"2026-08-10T22:53:47.120555Z","submitted_at":"2026-04-30T01:32:33Z","title":"Inference on Generalized Latent Variable Models with High-Dimensional Responses and Covariates","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-05-07T08:14:36.640982Z"},"links":{"cited_paper":"/paper/2508.06274","citing_paper":"/paper/2604.27305"},"observation_digest":"sha256:76c534d1df4e28d680c6cafed815a2e4729acaefc6d5d726fc0135e27f306159","observation_id":"8fcd7dd7-f5ba-43a6-8e0b-ef91062af2d4","resolution":{"observed_at":"2026-05-12T10:01:29.166227Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.06274","last_updated":"2025-08-08T12:47:47Z","snapshot_observed_at":"2026-08-05T22:52:13.768527Z","submitted_at":"2025-08-08T12:47:47Z","title":"Latent confounding in high-dimensional nonlinear models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.06274","snapshot_observed_at":"2026-07-13T03:32:25.166827Z","title":"arXiv preprint arXiv:2508.06274 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.09371","last_updated":"2026-07-10T12:51:42Z","snapshot_observed_at":"2026-08-14T09:49:12.459518Z","submitted_at":"2026-07-10T12:51:42Z","title":"Spectrally Deconfounded Gradient Boosting","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-07-13T03:32:25.166827Z"},"links":{"cited_paper":"/paper/2508.06274","citing_paper":"/paper/2607.09371"},"observation_digest":"sha256:f63eab002cb2c8d23a94a1ee6f0819ea42f6a4cf601fa403ac036f5c1d970fa7","observation_id":"9f1d2775-5de0-4da5-97cf-34805daf50a0","resolution":{"observed_at":"2026-07-13T03:32:25.166827Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2508.06274/citation-record","integrity":"/paper/2508.06274/integrity","json":"/paper/2508.06274/citation-record.json","paper":"/paper/2508.06274"},"outbound":[],"paper":{"arxiv_id":"2508.06274","last_updated":"2025-08-08T12:47:47Z","latest_version":1,"primary_category":"math.ST","snapshot_observed_at":"2026-08-05T22:52:13.768527Z","submitted_at":"2025-08-08T12:47:47Z","title":"Latent confounding in high-dimensional nonlinear models"},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2508.06274."}