{"as_of":"2026-08-14T19:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:05d429ba9c76386dd9e3f83d423245f7b7fd7039dbd2ab48ad5fccf3367472e0","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":"2026-08-14T06:32:32.682623+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":"2026-08-11T20:53:46.054415Z","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":"2026-07-03T00:17:29.325258Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.01488","last_updated":"2024-05-02T17:23:04Z","snapshot_observed_at":"2026-08-14T08:52:08.561633Z","submitted_at":"2024-05-02T17:23:04Z","title":"Digital Twin Generators for Disease Modeling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.01488","snapshot_observed_at":"2026-08-11T20:53:46.054415Z","title":"Digital Twin Generators for Disease Modeling,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.05153","last_updated":"2025-06-24T13:24:58Z","snapshot_observed_at":"2026-08-13T23:30:56.425366Z","submitted_at":"2024-12-06T16:10:40Z","title":"A text-to-tabular approach to generate synthetic patient data using LLMs","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:46.054415Z"},"links":{"cited_paper":"/paper/2405.01488","citing_paper":"/paper/2412.05153"},"observation_digest":"sha256:328255f0a325e40c8eddbf761859e6f357d1952e742278c89c1e5094b7918670","observation_id":"c1a1ae47-b6f1-41a7-b55d-c2919ab1002d","resolution":{"observed_at":"2026-08-11T20:53:46.054415Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.01488","last_updated":"2024-05-02T17:23:04Z","snapshot_observed_at":"2026-08-14T08:52:08.561633Z","submitted_at":"2024-05-02T17:23:04Z","title":"Digital Twin Generators for Disease Modeling","version":1},"cited_work":{"arxiv_id":"2405.01488","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.01488","snapshot_observed_at":"2026-07-03T00:17:29.325258Z","title":"X x µ1(x)p(x|A= 1) # = X x [EIF[µ1(x)]p(x|A= 1) +µ 1(x)EIF[p(x|A= 1)]], EIF[τ0] =EIF","venue":null,"work_id":"9a144eaf-e729-4807-b8e4-0152a7a789e4","year":2024},"citing_paper":{"arxiv_id":"2605.12832","last_updated":"2026-05-12T23:58:48Z","snapshot_observed_at":"2026-07-31T02:15:41.778292Z","submitted_at":"2026-05-12T23:58:48Z","title":"Digital Twins as Synthetic Controls in Single-Arm Trials","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-14T19:20:06.384399Z"},"links":{"cited_paper":"/paper/2405.01488","citing_paper":"/paper/2605.12832"},"observation_digest":"sha256:0986f8aff3fc56f00f612c97a6357af673b15b05e4bbc71b02f1f47d9c1d88ab","observation_id":"f4e587be-de34-48f3-baf2-dcbd666a6324","resolution":{"observed_at":"2026-05-14T19:22:50.747007Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.01488","last_updated":"2024-05-02T17:23:04Z","snapshot_observed_at":"2026-08-14T08:52:08.561633Z","submitted_at":"2024-05-02T17:23:04Z","title":"Digital Twin Generators for Disease Modeling","version":1},"cited_work":{"arxiv_id":"2405.01488","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.01488","snapshot_observed_at":"2026-07-03T00:17:29.325258Z","title":"X x µ1(x)p(x|A= 1) # = X x [EIF[µ1(x)]p(x|A= 1) +µ 1(x)EIF[p(x|A= 1)]], EIF[τ0] =EIF","venue":null,"work_id":"9a144eaf-e729-4807-b8e4-0152a7a789e4","year":2024},"citing_paper":{"arxiv_id":"2606.08853","last_updated":"2026-06-07T21:45:17Z","snapshot_observed_at":"2026-08-02T05:11:12.884188Z","submitted_at":"2026-06-07T21:45:17Z","title":"AI-Assisted Variance Reduction in Randomized Experiments","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-27T17:19:30.805562Z"},"links":{"cited_paper":"/paper/2405.01488","citing_paper":"/paper/2606.08853"},"observation_digest":"sha256:9ad5fe0fe639e5e7a20d2543943f8004fad79c8120c4a47ccb6be08ef7b0bc81","observation_id":"3b20a331-491e-452d-abb8-f027e425e132","resolution":{"observed_at":"2026-07-03T00:17:29.327774Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2405.01488/citation-record","integrity":"/paper/2405.01488/integrity","json":"/paper/2405.01488/citation-record.json","paper":"/paper/2405.01488"},"outbound":[],"paper":{"arxiv_id":"2405.01488","last_updated":"2024-05-02T17:23:04Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-14T08:52:08.561633Z","submitted_at":"2024-05-02T17:23:04Z","title":"Digital Twin Generators for Disease Modeling"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.01488."}