{"as_of":"2026-08-11T13:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:def2f1f8dcb329e4a09702a09ae2c70103647d170bd14420bcb74d5f159d0190","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":"2026-08-11T06:34:44.6726+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":"2026-08-10T21:29:12.041630Z","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":"2026-07-03T18:48:50.006452Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.04236","last_updated":"2024-03-07T05:38:56Z","snapshot_observed_at":"2026-08-10T02:46:14.891015Z","submitted_at":"2024-03-07T05:38:56Z","title":"Regularized DeepIV with Model Selection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.04236","snapshot_observed_at":"2026-08-10T21:29:12.041630Z","title":"Regularized DeepIV with model selection","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.04898","last_updated":"2025-01-09T01:22:22Z","snapshot_observed_at":"2026-08-11T01:27:24.899064Z","submitted_at":"2025-01-09T01:22:22Z","title":"Optimality and Adaptivity of Deep Neural Features for Instrumental Variable Regression","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-10T21:29:12.041630Z"},"links":{"cited_paper":"/paper/2403.04236","citing_paper":"/paper/2501.04898"},"observation_digest":"sha256:4f3da485b3a1de01a5436a6903e77842ae07a17215af1656ce3e15c87b330e0a","observation_id":"5cae917a-4a50-4f6e-b3c4-5b6b4bb7c58f","resolution":{"observed_at":"2026-08-10T21:29:12.041630Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.04236","last_updated":"2024-03-07T05:38:56Z","snapshot_observed_at":"2026-08-10T02:46:14.891015Z","submitted_at":"2024-03-07T05:38:56Z","title":"Regularized DeepIV with Model Selection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.04236","snapshot_observed_at":"2026-08-07T13:57:00.537985Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20787","last_updated":"2025-05-27T06:47:33Z","snapshot_observed_at":"2026-08-07T20:54:17.889856Z","submitted_at":"2025-05-27T06:47:33Z","title":"Debiased Ill-Posed Regression","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T13:57:00.537985Z"},"links":{"cited_paper":"/paper/2403.04236","citing_paper":"/paper/2505.20787"},"observation_digest":"sha256:1521b36d2e5d337d2efc46f0c82015daf02a28acfaca53781112f105aab8d2fc","observation_id":"9c673fb2-fc0a-423a-aa3b-df2cadb26ecd","resolution":{"observed_at":"2026-08-07T13:57:00.537985Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.04236","last_updated":"2024-03-07T05:38:56Z","snapshot_observed_at":"2026-08-10T02:46:14.891015Z","submitted_at":"2024-03-07T05:38:56Z","title":"Regularized DeepIV with Model Selection","version":1},"cited_work":{"arxiv_id":"2403.04236","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.04236","snapshot_observed_at":"2026-07-03T18:48:50.006452Z","title":"arXiv preprint arXiv:2403.04236 , year=","venue":null,"work_id":"f8f10a4c-3b61-4ff9-acd0-dc687ba99d76","year":null},"citing_paper":{"arxiv_id":"2606.17232","last_updated":"2026-06-15T19:26:28Z","snapshot_observed_at":"2026-08-01T17:20:30.614792Z","submitted_at":"2026-06-15T19:26:28Z","title":"Semiparametric Mediation Analysis with Separately Observed Mediator and Outcome under Unmeasured Confounding","version":1},"reference_index":131,"source":"arxiv_source","source_observed_at":"2026-06-27T02:17:53.225841Z"},"links":{"cited_paper":"/paper/2403.04236","citing_paper":"/paper/2606.17232"},"observation_digest":"sha256:450b66aacf9574b809b6c79b5afcbe77a513d3b0ef6adc6a9719289a030a0de5","observation_id":"8a04cf6c-8166-4e44-90e8-28e9da936056","resolution":{"observed_at":"2026-07-03T18:48:50.007911Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2403.04236/citation-record","integrity":"/paper/2403.04236/integrity","json":"/paper/2403.04236/citation-record.json","paper":"/paper/2403.04236"},"outbound":[],"paper":{"arxiv_id":"2403.04236","last_updated":"2024-03-07T05:38:56Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-10T02:46:14.891015Z","submitted_at":"2024-03-07T05:38:56Z","title":"Regularized DeepIV with Model Selection"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.04236."}