{"as_of":"2026-08-17T01:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:272ae54b3fcecc9bb964f861a633849b2b76bc87d20dde3cbadb1af0d472410f","coverage":[{"denominator":41,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":41,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T11:26:54.354069Z","state":"measured"},{"denominator":41,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":41,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/1908.09230/citation-record","integrity":"/paper/1908.09230/integrity","json":"/paper/1908.09230/citation-record.json","paper":"/paper/1908.09230"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:55.002399Z","title":"Efficient and adaptive estimation for semiparametric models","venue":null,"work_id":"bc4af828-89c1-4095-9ce7-fc0723c11d13","year":1993},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.157835Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:470bb954ae7f7d3fe924a8846705982c4dd5dea2e0047093c69ba38237e3925b","observation_id":"fd64f807-f3cb-4fc3-acbe-aad12d553c7f","resolution":{"observed_at":"2026-08-14T11:26:55.007120Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.986130Z","title":"Traditional reviews, meta-analyses and pooled analyses in epidemiology","venue":null,"work_id":"55c69778-a233-49a7-a77e-baac3e26dd37","year":1999},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.163123Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:80e79bf8ba0698b7cfaa6bed449aff53e0ca17883315052eddf43fcaa43645cc","observation_id":"d4004bfc-2dc6-4915-a484-06ad1f9de5e2","resolution":{"observed_at":"2026-08-14T11:26:54.991210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.970077Z","title":"Weighted likelihood for semiparametric models and two-phase stratified samples, with application to C ox regression","venue":null,"work_id":"853a6f00-9f7e-4e79-b235-d7c1e4646843","year":2007},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.167642Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:e7c878c7e17a2fe21edddd5c5dbbe4b9bd6f1f8e37176cf19eccd5f222e04686","observation_id":"11504582-cbaf-4ddf-810c-8290b4561bd6","resolution":{"observed_at":"2026-08-14T11:26:54.975123Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.953685Z","title":"On the semi-parametric efficiency of logistic regression under case-control sampling","venue":null,"work_id":"da037a01-bba4-4389-b958-c5fdd9f5bc5a","year":2000},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.171996Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:d8117270d69dd19b7a47bfac3469c8f608f0dbfd5bbaacac2ef83c34ef2143ad","observation_id":"496fc75e-af0e-4255-a0dc-25236651e194","resolution":{"observed_at":"2026-08-14T11:26:54.959263Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.177478Z","title":"Double/debiased machine learning for treatment and structural parameters","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.177478Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:dc13bd0683f14974842e3d193bbc8c0a4171b2ffef7a8cdbf3371dc1b3439315","observation_id":"b5e216f3-5f05-4423-b68e-f580f7fd0995","resolution":{"observed_at":"2026-08-14T11:26:54.177478Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.929605Z","title":"Generalizing evidence from randomized clinical trials to target populations: the A C T G 320 trial","venue":null,"work_id":"43968241-4807-4783-b662-42c011380942","year":2010},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.182680Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:ceae690464effdc5c91c437db0ff86e638540fa82210d47750f00c1488846b00","observation_id":"6159dfd0-fb9f-48ca-8a92-6f034c335865","resolution":{"observed_at":"2026-08-14T11:26:54.934695Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.915410Z","title":"The handbook of research synthesis and meta-analysis","venue":null,"work_id":"d916cf9a-3116-4bb8-ae0c-19ad2d5b8c48","year":2009},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.187918Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:92133aef776311e0d0e3f38b213585fa4dec4c64012e3b2b6378622ed364f3a1","observation_id":"3f340f62-031f-470f-896c-68b92c15dad5","resolution":{"observed_at":"2026-08-14T11:26:54.919911Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.900490Z","title":"Toward causally interpretable meta-analysis: Transporting inferences from multiple randomized trials to a new target population","venue":null,"work_id":"59327cf7-fd64-4694-b423-3b977d4ce035","year":2020},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.192445Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:c6ea6b00e149212818b24d2737dc11ea7a3da14343571ad8403be38daca8fcb7","observation_id":"8492812b-0a2d-4bc5-8ee3-ac5adfbb3e34","resolution":{"observed_at":"2026-08-14T11:26:54.905702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.885297Z","title":"Extending inferences from a randomized trial to a target population","venue":null,"work_id":"0c0c15d8-4a42-4fcc-8c6f-12574f005a9e","year":2019},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.197099Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:38459ed84a7fdb14acf22fd9a6f2238df59958529aa5fcd00f786282b6340c63","observation_id":"5eff013a-0348-4c89-acaf-77b13aee7089","resolution":{"observed_at":"2026-08-14T11:26:54.890221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.871923Z","title":"Generalizing causal inferences from individuals in randomized trials to all trial-eligible individuals","venue":null,"work_id":"16bef463-c54c-492b-9acf-603b56716a24","year":2018},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.201724Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:e5d7b36dbc01250704eb333fb8490d8aefd6be4a1be8351f3f7ce2778c0da785","observation_id":"71af88c8-fc00-4172-a7e1-58d23f7329b8","resolution":{"observed_at":"2026-08-14T11:26:54.876286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1805.00550","last_updated":"2019-10-28T10:14:59Z","snapshot_observed_at":"2026-08-14T19:19:55.644261Z","submitted_at":"2018-05-01T21:04:24Z","title":"Extending inferences from a randomized trial to a new target population","version":3},"cited_work":{"arxiv_id":"1805.00550","doi":null,"metadata_source":"pith","pith_arxiv_id":"1805.00550","snapshot_observed_at":"2026-08-14T11:26:54.434744Z","title":"Extending inferences from a randomized trial to a new target population","venue":"stat.ME","work_id":"353d3f2a-85b6-417c-aa68-ecb099345dad","year":2018},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.206412Z"},"links":{"cited_paper":"/paper/1805.00550","citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:c7cd8603c8c88a029ebbf8b4115fdcc393fb4c840070a57e5214895a008dc006","observation_id":"a0037095-6c1b-409b-817c-3fbd20b1f2be","resolution":{"observed_at":"2026-08-14T11:26:54.440034Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.10792","last_updated":"2019-06-26T00:29:15Z","snapshot_observed_at":"2026-07-06T08:02:48.571514Z","submitted_at":"2019-06-26T00:29:15Z","title":"Generalizing causal inferences from randomized trials: counterfactual and graphical identification","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.10792","snapshot_observed_at":"2026-08-14T11:26:54.212526Z","title":"Generalizing causal inferences from randomized trials: counterfactual and graphical identification","venue":null,"work_id":null,"year":1906},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.212526Z"},"links":{"cited_paper":"/paper/1906.10792","citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:c8f0a231493e9ed5f558acea8f709c98bc94a88d55b78cef60a5ff39e9e70c45","observation_id":"fc8dd5da-e940-46d8-b848-f8f5f398de7e","resolution":{"observed_at":"2026-08-14T11:26:54.212526Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.857389Z","title":"Conditional independence in statistical theory","venue":null,"work_id":"463d50d2-6863-46d7-a03d-d8d6c1b5d4fd","year":1979},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.217658Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:fd882dd4616c555adb003615d7f5f3aa341ef89ec2530f53082fa28d5789cb41","observation_id":"97fba8b5-5ec2-483d-9064-b839166fa441","resolution":{"observed_at":"2026-08-14T11:26:54.862046Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.842658Z","title":"Testing the equality of nonparametric regression curves","venue":null,"work_id":"334e9fbc-0099-44f3-9ee2-19a635eca693","year":1993},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.223145Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:6d99f14a6c052e70d5a1e8cf26a2de2346a66e43abc0d15f214e29a1b1724748","observation_id":"f7bc64e4-16f9-457b-9035-d8f80d107a3b","resolution":{"observed_at":"2026-08-14T11:26:54.847333Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.826594Z","title":"Prolonged therapy of advanced chronic hepatitis c with low-dose peginterferon","venue":null,"work_id":"a43ad433-eaa4-4788-b18c-33c5f9b74bcd","year":2008},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.228672Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:c424fcd47870ea9e19d178e831aac71f7df9aa85d1f283ee26d685ae9f05e0a8","observation_id":"69aa4850-e026-49c9-97de-c8d2709c2169","resolution":{"observed_at":"2026-08-14T11:26:54.831621Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.811144Z","title":"An introduction to the bootstrap, volume 57 of Monographs on Statistics and Applied Probability","venue":null,"work_id":"de376807-1f63-4f83-9d47-d72f4e34f8ce","year":1994},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.234211Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:f7ca2f71c5f68e2552fb4f05713cbadde00a05780ded95afaa12dfed8326c9e6","observation_id":"c356d230-ddc3-47d3-8fef-f16b010a7659","resolution":{"observed_at":"2026-08-14T11:26:54.815900Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.797839Z","title":"A re-evaluation of random-effects meta-analysis","venue":null,"work_id":"5ee2d278-4f47-410d-acf5-1a9b4567c73a","year":2009},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.239082Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:085a226c0d897f40ef51bf0c429f300c3c1eeb7628d5677f6e5ba2eee7c6388d","observation_id":"af4f61ac-170d-4afe-9a20-d1d0ff81a841","resolution":{"observed_at":"2026-08-14T11:26:54.801994Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.782296Z","title":"Semiparametric causal inference in matched cohort studies","venue":null,"work_id":"264352b2-e682-4a20-b35a-b85b0d619dd2","year":2015},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.243886Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:dce3f9e56a738abcfe52689f3002607f00ff42b66916af9311a68c2b76453b79","observation_id":"2c315a48-e5c0-4f56-96ec-4aa03f26b832","resolution":{"observed_at":"2026-08-14T11:26:54.788008Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.767204Z","title":"Robust causal inference with continuous instruments using the local instrumental variable curve","venue":null,"work_id":"728ca47b-1bf1-45f3-b66e-06658e0b8f4d","year":2019},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.248778Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:e4db73557fdda64f5d764a4043079be283b40c54c6d8af22af5b17f032cfb424","observation_id":"0b0f0cf3-fb38-4c16-9224-6f69bc7947b7","resolution":{"observed_at":"2026-08-14T11:26:54.772331Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.751898Z","title":"Introduction to empirical processes and semiparametric inference","venue":null,"work_id":"7b8b8dea-158c-4cca-9262-e8070ef05392","year":2008},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.254296Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:511e8a75ac8739d29a0590cdb0e6fb3d75a0ec48b3a6106af7002f2b835959b9","observation_id":"4bec2542-a067-420c-b140-8f3069841e7f","resolution":{"observed_at":"2026-08-14T11:26:54.756743Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.737040Z","title":"An omnibus non-parametric test of equality in distribution for unknown functions","venue":null,"work_id":"a1bc216a-fdc4-43ec-8e9f-bfcab913e9ea","year":2019},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.258767Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:1db7157013b4b90c6d2486247f5499734ace79408db940b598e3db4678c1b793","observation_id":"c522f8f4-1e7a-41a6-aaea-dfd7892b9b92","resolution":{"observed_at":"2026-08-14T11:26:54.741283Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.722121Z","title":"Choice of drug therapy in primary (essential) hypertension","venue":null,"work_id":"5ea3e942-9721-43fc-90a9-da2caf0c5eb6","year":2020},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.262993Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:52d0be15fddbedb3d71727bb0c65b09f7af7f226898fcc8ce0a0e5a4eb335785","observation_id":"d27c687e-2673-4f0e-8db4-5b23bdbc999b","resolution":{"observed_at":"2026-08-14T11:26:54.726946Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.707241Z","title":"Antihypertensive therapy and progression of nondiabetic chronic kidney disease in adults","venue":null,"work_id":"533dfebd-1206-438c-8fdc-b758464d76a7","year":2019},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.267357Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:b71cb6de1b711eef6267b965cf30c59b6b8ca7c456531480ade5f85cb6179574","observation_id":"9ef2879f-8c4b-46f5-8392-cf459a8a2e59","resolution":{"observed_at":"2026-08-14T11:26:54.712101Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.691724Z","title":"Meta-analysis for medical decisions","venue":null,"work_id":"92d99269-fa92-4625-9e82-025bc8c3521c","year":2019},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.272196Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:bac407de6be1dbaa0e64fd432b62f437ff2e68652a7868cfd57760d9da15efa4","observation_id":"b50c8b87-9495-4d1a-9377-3414fa884584","resolution":{"observed_at":"2026-08-14T11:26:54.696619Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.677445Z","title":"Nonparametric comparison of regression curves: an empirical process approach","venue":null,"work_id":"0a956fa4-8b56-417c-af1b-23f90e29b62a","year":2003},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.276958Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:6144a0c807062477cf2c1a452bc73cece2d4ab0f57f7c5de148a457cd03b2e63","observation_id":"7f32b5e6-bb0b-4d12-803b-37ee67d74110","resolution":{"observed_at":"2026-08-14T11:26:54.681715Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.661738Z","title":"Essentials of probability theory for statisticians","venue":null,"work_id":"512bdbe7-8530-4a6a-9ea0-dcf4f4414049","year":2018},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.281627Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:951cfce2d6ab62245486871971c06ab4bcb24541960467a105b1d80459669302","observation_id":"48be4bb8-544a-40d6-8be4-84d1795a8b39","resolution":{"observed_at":"2026-08-14T11:26:54.667050Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.647017Z","title":"Testing the significance of categorical predictor variables in nonparametric regression models","venue":null,"work_id":"f15c9e8d-7d81-4156-be2f-8a5b14b356c2","year":2006},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.286266Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:e1c9a21a42ec1f9ca4eabb5d1e775a795432258554d361efb8c56bfac8a8ced9","observation_id":"ee4256f1-487b-47bc-bb38-510b12e60414","resolution":{"observed_at":"2026-08-14T11:26:54.651839Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.632573Z","title":"A re-evaluation of fixed effect (s) meta-analysis","venue":null,"work_id":"5d821b19-1bee-48c3-b426-bb13115ba00d","year":2018},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.292447Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:0261eb327f4119d8f1022a53392c57a1c1b7f18847384c997177aa67edaf6ac3","observation_id":"d192bcfa-babe-47b1-adba-8dbcd6d97ac9","resolution":{"observed_at":"2026-08-14T11:26:54.637336Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.616335Z","title":"Higher order influence functions and minimax estimation of nonlinear functionals","venue":null,"work_id":"76776088-5c1a-4525-b172-775b28359042","year":2008},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.297187Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:a2efd4fc6a0e43042da7e09048fc4d33e8bf6e6d4fac3d876329712c1e6305c2","observation_id":"1f20b771-09ba-4f14-acef-8ade94bc3b80","resolution":{"observed_at":"2026-08-14T11:26:54.621719Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.599864Z","title":"Causal inference without counterfactuals: comment","venue":null,"work_id":"807d5cac-b453-491b-b3af-3b024ca10fce","year":2000},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.302378Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:6cb1867d15168bb1ffabd3b0d186f2883eddcb7d59ede8f880ba1ae65857220a","observation_id":"15fe9d78-d0c8-4cea-9bd1-9b581bec9ba5","resolution":{"observed_at":"2026-08-14T11:26:54.605590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.582307Z","title":"Estimating causal effects of treatments in randomized and nonrandomized studies","venue":null,"work_id":"da98c11a-810e-4764-9f14-2aeebf786ad1","year":1974},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.307055Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:0078cf537c80e853434b577c0229cfce7ba2cb52490136704eca8c3083260d41","observation_id":"13cbc25a-1b84-4ad4-a9d3-e5ba0226f48c","resolution":{"observed_at":"2026-08-14T11:26:54.588336Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.565662Z","title":"Robust estimation of encouragement design intervention effects transported across sites","venue":null,"work_id":"b571cc6d-2677-45ee-9179-bfdcb1945d91","year":2017},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.311459Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:62aaa3b83b6138949eece13544f40820d2196a47c9ce4348e2dc7a09a4d46376","observation_id":"a6c57281-0c30-43c8-98e7-6fc2c0e9ae8b","resolution":{"observed_at":"2026-08-14T11:26:54.570651Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.550647Z","title":"Weighted likelihood estimation under two-phase sampling","venue":null,"work_id":"d2c920b9-4c57-4a25-b857-ecc1b470c576","year":2013},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.315999Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:b7aa8377aa89c3935d8c17c50c574532994d749ff63fad3626b18689fbdce89b","observation_id":"73b7f882-40ab-40ee-9b9e-5e53f2e416ab","resolution":{"observed_at":"2026-08-14T11:26:54.555603Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.534015Z","title":"Causal inference for meta-analysis and multi-level data structures, with application to randomized studies of V ioxx","venue":null,"work_id":"3edb12b0-a10d-4bc8-a113-97a638ab0fb7","year":2017},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.320749Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:6279984de98452fb3ac0b6dff321acacfbbe1caa27551b712cf49ec82bf14a8c","observation_id":"b23db7e7-1552-4e8f-88b1-589da45cafb4","resolution":{"observed_at":"2026-08-14T11:26:54.539340Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.518577Z","title":"The calculus of m-estimation","venue":null,"work_id":"41e2f3b1-f073-4c53-b0da-59c0a164a6c6","year":2002},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.325715Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:870525fe4385e2548e151cdb089131beb103d9de37aab728161b1f25b70a4d7f","observation_id":"83d6ddf1-b4cd-4d11-aebe-d8415af9bcbe","resolution":{"observed_at":"2026-08-14T11:26:54.523491Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.503003Z","title":"Improving generalizations from experiments using propensity score subclassification assumptions, properties, and contexts","venue":null,"work_id":"d9a2cb85-8138-407d-be24-abfbbfc6dea3","year":2012},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.330964Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:a365aa8f37dc7d59d2b2c59d019108917eec67c3655471e2ae4a394b87894760","observation_id":"c6e5d605-917c-45c9-9173-81c860d73d83","resolution":{"observed_at":"2026-08-14T11:26:54.508181Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.335964Z","title":"Semiparametric theory and missing data","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.335964Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:39a9b7379295f009668dbb75615787c596cd4701d5bc4678f054393d7cad197f","observation_id":"a5323986-fa40-4b6c-8b8a-9cf2e456789a","resolution":{"observed_at":"2026-08-14T11:26:54.335964Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.340477Z","title":"Asymptotic statistics, volume 3","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.340477Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:6dedd102190c488b4e1df39aa4c06973bc39a94f22aaff067a58a2dd785334e8","observation_id":"c6101dc9-b2db-45a8-afc9-8f579ad49d67","resolution":{"observed_at":"2026-08-14T11:26:54.340477Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.465442Z","title":"Weak Convergence and Empirical Processes","venue":null,"work_id":"a8be9f5b-a757-4141-9713-112cb82bc096","year":1996},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.344844Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:432235b5c418c0e372358e0c8a7cd0502984c8f5e5b71adb11960b0247b98e66","observation_id":"147835d6-88ec-4384-b682-989b64f292ec","resolution":{"observed_at":"2026-08-14T11:26:54.470444Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1908.10613","last_updated":"2021-08-24T15:19:48Z","snapshot_observed_at":"2026-08-14T10:36:10.264503Z","submitted_at":"2019-08-28T09:50:16Z","title":"A novel approach for identifying and addressing case-mix heterogeneity in individual participant data meta-analysis","version":3},"cited_work":{"arxiv_id":"1908.10613","doi":null,"metadata_source":"pith","pith_arxiv_id":"1908.10613","snapshot_observed_at":"2026-08-14T11:26:54.392353Z","title":"A novel approach for identifying and addressing case-mix heterogeneity in individual participant data meta-analysis","venue":"stat.AP","work_id":"e9b19a91-e327-42dc-941e-232a6688f550","year":2019},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.349086Z"},"links":{"cited_paper":"/paper/1908.10613","citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:095529aee0a5bee4e4db5e3d31c86fced414a21c142a8331a94619ab78d16504","observation_id":"2e847a5f-b48b-4185-b125-e03f79cd283d","resolution":{"observed_at":"2026-08-14T11:26:54.399594Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:26:54.450719Z","title":"Transportability of trial results using inverse odds of sampling weights","venue":null,"work_id":"675cb47a-5233-492e-8430-f0c6424a0dc1","year":2017},"citing_paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population","version":5},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-14T11:26:54.354069Z"},"links":{"citing_paper":"/paper/1908.09230"},"observation_digest":"sha256:34366402d79f6da89af8d64dbfebbd82c2e873de8b17900fd2e9e40eedf918d1","observation_id":"69afa796-c00c-4e5b-ae7a-bfb3e574736e","resolution":{"observed_at":"2026-08-14T11:26:54.455547Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.09230","last_updated":"2022-02-05T01:09:19Z","latest_version":5,"primary_category":"stat.ME","snapshot_observed_at":"2026-08-16T15:37:19.846985Z","submitted_at":"2019-08-24T23:25:44Z","title":"Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population"},"reference_resolution":{"displayed":41,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":2,"verified_fuzzy":35},"total_outbound_references":41},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:1908.09230."}