{"as_of":"2026-08-11T01:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:45fdb56e72e9f54be31093540aa4ac63101a10012b724498cd2b52e17497b528","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":"2026-08-10T06:31:04.303077+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":"2026-08-08T11:32:30.266514Z","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":"2026-05-09T06:05:35.195659Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2308.09207","last_updated":"2025-07-25T10:29:34Z","snapshot_observed_at":"2026-07-06T16:07:26.202458Z","submitted_at":"2023-08-17T23:14:56Z","title":"Average partial effect estimation using double machine learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.09207","snapshot_observed_at":"2026-08-08T11:32:30.266514Z","title":"Klyne and R","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.07906","last_updated":"2025-02-11T19:24:09Z","snapshot_observed_at":"2026-08-10T18:39:37.155020Z","submitted_at":"2025-02-11T19:24:09Z","title":"Model-free Methods for Event History Analysis and Efficient Adjustment (PhD Thesis)","version":1},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-08-08T11:32:30.266514Z"},"links":{"cited_paper":"/paper/2308.09207","citing_paper":"/paper/2502.07906"},"observation_digest":"sha256:20f99170c36c83243d1b5ca2e9de0890362156a657d07fc36458f3d051db263d","observation_id":"fe0530ec-85c9-4e75-80d8-743a601c8bb8","resolution":{"observed_at":"2026-08-08T11:32:30.266514Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.09207","last_updated":"2025-07-25T10:29:34Z","snapshot_observed_at":"2026-07-06T16:07:26.202458Z","submitted_at":"2023-08-17T23:14:56Z","title":"Average partial effect estimation using double machine learning","version":3},"cited_work":{"arxiv_id":"2308.09207","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2308.09207","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"& Shah, R","venue":null,"work_id":"8a41203e-6d26-4173-8a38-2d520b0673ea","year":2023},"citing_paper":{"arxiv_id":"2605.02062","last_updated":"2026-05-03T21:13:31Z","snapshot_observed_at":"2026-07-06T23:15:11.601042Z","submitted_at":"2026-05-03T21:13:31Z","title":"Neural Generative Distributional Regression","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-08T19:01:32.135559Z"},"links":{"cited_paper":"/paper/2308.09207","citing_paper":"/paper/2605.02062"},"observation_digest":"sha256:565f1fcb7a8dfd0b3ff5cc4225c0bd989944a04923916e1dadd2ad2b0431956a","observation_id":"aa029ea2-96a1-4d12-9fd5-3714b1fce6c6","resolution":{"observed_at":"2026-05-09T06:05:35.199248Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2308.09207/citation-record","integrity":"/paper/2308.09207/integrity","json":"/paper/2308.09207/citation-record.json","paper":"/paper/2308.09207"},"outbound":[],"paper":{"arxiv_id":"2308.09207","last_updated":"2025-07-25T10:29:34Z","latest_version":3,"primary_category":"math.ST","snapshot_observed_at":"2026-07-06T16:07:26.202458Z","submitted_at":"2023-08-17T23:14:56Z","title":"Average partial effect estimation using double machine learning"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.09207."}