{"as_of":"2026-08-06T12:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ae0e10da0b83dc67d4da0e6e90d29365ba68f31df1bb1cda9076a13b135e17fa","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":"2026-08-06T06:34:29.942622+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":"2026-08-03T11:31:09.287588Z","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":"2026-05-11T19:36:13.918364Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.10292","last_updated":"2025-03-06T02:41:55Z","snapshot_observed_at":"2026-08-03T12:33:03.137407Z","submitted_at":"2024-06-13T04:23:35Z","title":"Automatically Labeling Clinical Trial Outcomes: A Large-Scale Benchmark for Drug Development","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.10292","snapshot_observed_at":"2026-08-03T11:31:09.287588Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.06300","last_updated":"2026-07-29T02:17:17Z","snapshot_observed_at":"2026-08-06T02:54:29.743280Z","submitted_at":"2026-01-09T20:32:04Z","title":"$\\texttt{AMEND++}$: Benchmarking Eligibility Criteria Amendments in Clinical Trials","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-03T11:31:09.287588Z"},"links":{"cited_paper":"/paper/2406.10292","citing_paper":"/paper/2601.06300"},"observation_digest":"sha256:6ce10af75fe549d2a70db2afe95d4efa87fb907e00324fb00347934a785e0566","observation_id":"1285c7aa-eff1-415a-828a-07375d158602","resolution":{"observed_at":"2026-08-03T11:31:09.287588Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.10292","last_updated":"2025-03-06T02:41:55Z","snapshot_observed_at":"2026-08-03T12:33:03.137407Z","submitted_at":"2024-06-13T04:23:35Z","title":"Automatically Labeling Clinical Trial Outcomes: A Large-Scale Benchmark for Drug Development","version":3},"cited_work":{"arxiv_id":"2406.10292","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.10292","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"3651ce48-7d70-4c01-8bdb-f93accfc7797","year":2024},"citing_paper":{"arxiv_id":"2604.23054","last_updated":"2026-08-04T17:49:41Z","snapshot_observed_at":"2026-08-06T12:28:59.959025Z","submitted_at":"2026-04-24T22:48:10Z","title":"DeepImagine: Clinical Trial Outcome Prediction via Stepwise Local Counterfactual Imaginations","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-08T11:31:50.819449Z"},"links":{"cited_paper":"/paper/2406.10292","citing_paper":"/paper/2604.23054"},"observation_digest":"sha256:09890b896cd086042d6456f568ffe7d917a419c8359ab5664efda10477fd7020","observation_id":"56948242-b530-4c02-9a76-8a3561e0abe1","resolution":{"observed_at":"2026-05-11T19:36:13.923649Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2406.10292/citation-record","integrity":"/paper/2406.10292/integrity","json":"/paper/2406.10292/citation-record.json","paper":"/paper/2406.10292"},"outbound":[],"paper":{"arxiv_id":"2406.10292","last_updated":"2025-03-06T02:41:55Z","latest_version":3,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-03T12:33:03.137407Z","submitted_at":"2024-06-13T04:23:35Z","title":"Automatically Labeling Clinical Trial Outcomes: A Large-Scale Benchmark for Drug Development"},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.10292."}