{"as_of":"2026-08-23T11:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4032c91dac22ac4e6ddb2833a29ca4ac2c5456f6c2eff3f13692f1b0f2c3f6c0","coverage":[{"denominator":35,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":35,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T17:25:11.946871Z","state":"measured"},{"denominator":36,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":36,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T05:04:21.980702Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-05T05:04:22.135238Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"cited_work":{"arxiv_id":"2508.12688","doi":null,"metadata_source":"pith","pith_arxiv_id":"2508.12688","snapshot_observed_at":"2026-08-05T05:04:22.135238Z","title":"Bayesian Double Machine Learning for Causal Inference","venue":"econ.EM","work_id":"b653ba81-95a0-4ffc-a7c1-ddc382cf2f16","year":2025},"citing_paper":{"arxiv_id":"2509.05832","last_updated":"2025-09-06T21:06:19Z","snapshot_observed_at":"2026-08-18T02:23:04.585149Z","submitted_at":"2025-09-06T21:06:19Z","title":"Decision Theoretic Subgroup Detection With Bayesian Machine Learning","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-05T05:04:21.980702Z"},"links":{"cited_paper":"/paper/2508.12688","citing_paper":"/paper/2509.05832"},"observation_digest":"sha256:bf4ca17c7ae7e56e9180d995aaa9c57654f37a87a052616a29e46168cfc38a9b","observation_id":"9ebe4fcb-2ef5-4959-af1b-f4aac5e43759","resolution":{"observed_at":"2026-08-05T05:04:22.138534Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2508.12688/citation-record","integrity":"/paper/2508.12688/integrity","json":"/paper/2508.12688/citation-record.json","paper":"/paper/2508.12688"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.48550/arxiv.2504.08324","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:25:12.321638Z","title":", author Chernozhukov, V","venue":null,"work_id":"f18f50aa-612a-40ce-88c0-9f4b335b794d","year":2025},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.781731Z"},"links":{"citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:addab5aa360732261b5d4db0ce512897a0d80ca235ef6cf4bc3d60ed5a6625ff","observation_id":"61874826-b7d0-460e-8fcb-2ee7b089eeb0","resolution":{"observed_at":"2026-08-15T17:25:12.326199Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/qje/qjad036","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:25:12.250530Z","title":", author Durvasula, M","venue":null,"work_id":"b7bba683-a2d9-4170-99d1-476fc2e23656","year":2023},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.787476Z"},"links":{"citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:069980d847f9ba5a756ce36d1de1aecabb95f518a81ea755dbefecb35140c1ce","observation_id":"a8b90aff-45fc-46db-8b08-0cc82262943d","resolution":{"observed_at":"2026-08-15T17:25:12.256240Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1086/717933","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:25:12.235924Z","title":", author Frandsen, B","venue":null,"work_id":"9988cc24-b405-4b44-8d22-c1977f8417de","year":2022},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.792232Z"},"links":{"citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:37f702f9f6e9f66aa427c2f329b5c7df0179a7f3d712dfc0c2241d0012cf7265","observation_id":"98b5a00d-54ba-42fb-b13b-c162d13ea232","resolution":{"observed_at":"2026-08-15T17:25:12.240561Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:25:11.799277Z","title":", author Papadogeorgou, G","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.799277Z"},"links":{"citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:33a530ac662cf14849c8c0e3d8b3e72e3e5608a496295842b3e97b5f514d265b","observation_id":"7de2af17-0836-4968-8e61-30e2f7d1ac59","resolution":{"observed_at":"2026-08-15T17:25:11.799277Z","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":"10.1257/aer.20190842","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:25:12.212527Z","title":", author Coutts, A","venue":null,"work_id":"4208bf1a-ec69-4cb6-893c-f6341f4c8759","year":2020},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.804499Z"},"links":{"citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:c1b8ef91a46bea5cf5a78b06feb1e7e6ff31e66e307f6b07e6437d0f54711f56","observation_id":"4f8873f2-8267-449e-ab18-a11280588b8d","resolution":{"observed_at":"2026-08-15T17:25:12.217634Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:25:12.905604Z","title":", author Bach, P","venue":null,"work_id":"767de852-fb03-4648-897d-462dcc3c5e98","year":2024},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.809633Z"},"links":{"citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:0a839989b5c187999c5c931e6e43507f7d678024e3027fc66d69c786833a2a88","observation_id":"a3edf54e-1c14-4eb8-870c-696bc4a598e6","resolution":{"observed_at":"2026-08-15T17:25:12.911015Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:25:11.814784Z","title":", author Chernozhukov, V","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.814784Z"},"links":{"citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:58064628177e8fbbb6000fc09b775700b05784e6f9c5ebb19b38b9263794b0c1","observation_id":"264daa3e-20a8-409c-80e7-51aa1883e18e","resolution":{"observed_at":"2026-08-15T17:25:11.814784Z","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":"2026-08-15T17:25:12.889565Z","title":", author Liu, R","venue":null,"work_id":"866a628b-45a9-4cd6-bc70-b1194a315fd6","year":2024},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.819423Z"},"links":{"citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:d73e7b0b958d3517c195d0208d368a7a33fb2bac634ebf43d013f1a0bef8e7a7","observation_id":"45a4085d-fcab-4043-932d-8bd190b7aaf7","resolution":{"observed_at":"2026-08-15T17:25:12.894364Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3982/ecta21442","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:25:12.188885Z","title":", author Liu, R","venue":null,"work_id":"140a29b4-7e16-41ad-a9da-c360fe8a3121","year":2025},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.823975Z"},"links":{"citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:47995bd01190dc2b52ee2e3a8cd59849f8e1da3001a48b987e8788a0b5a48f16","observation_id":"49ac7beb-6ce3-4131-a225-baa3f20a2817","resolution":{"observed_at":"2026-08-15T17:25:12.193502Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:25:11.828809Z","title":", author Chetverikov, D","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.828809Z"},"links":{"citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:4be3c6ea1df0ca7b786cff2b337c27dfaebd1952de989efa88af9fbedc163546","observation_id":"7bbe7908-c0df-4254-a824-0b2247bfe95f","resolution":{"observed_at":"2026-08-15T17:25:11.828809Z","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":"2026-08-15T17:25:11.833469Z","title":", author Contreras-Loya, D","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.833469Z"},"links":{"citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:41e92d0f6e5fe90611fec95d1a2fd253b5fad01a4e7d75b7d0c7cd0e04a0c073","observation_id":"ac18de9b-ed20-4fcb-aae7-c92e5f0bdf08","resolution":{"observed_at":"2026-08-15T17:25:11.833469Z","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":"2026-08-15T17:25:11.838643Z","title":", author Courtemanche, C","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.838643Z"},"links":{"citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:8e256198b96d67d4b2463c5fd47ba7f797515911dd3a5719d6e04e1a2b067332","observation_id":"ae0df21d-4a05-4b63-8cba-16628a3cdc4a","resolution":{"observed_at":"2026-08-15T17:25:11.838643Z","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":"10.1257/aer.20220582","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:25:12.155181Z","title":", year 2024","venue":null,"work_id":"fb677183-1be5-4f99-bd8c-40511e9fe09d","year":2024},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.843239Z"},"links":{"citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:acb913aa6f467ca601671beb125a4bcefc7c721fdf8965c2f8540c6c0a49b28b","observation_id":"279837b5-7b6a-4411-bba5-26a26077bbdb","resolution":{"observed_at":"2026-08-15T17:25:12.160085Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:25:11.848185Z","title":", author Jacobs, J","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.848185Z"},"links":{"citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:79eae75de3fc46a3f6aa6afebffdc559efa09007ebe1a7a58ab58b33f5c045c6","observation_id":"3b142502-84d0-4741-8133-9b32bbd74e25","resolution":{"observed_at":"2026-08-15T17:25:11.848185Z","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":"2026-08-15T17:25:12.874362Z","title":", author Dupas, P","venue":null,"work_id":"31381d74-5743-4280-95c7-23adc9487d7b","year":2021},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.852678Z"},"links":{"citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:7d1cfceb9671eca461cf7fbcedf46e97980e512beaf6a36291a702ecda0fd00e","observation_id":"4076b6e0-c23e-4854-b0e4-c199d7a652a2","resolution":{"observed_at":"2026-08-15T17:25:12.879223Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:25:11.857211Z","title":", author Moakler, R","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.857211Z"},"links":{"citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:8f60b8aa5ba69e0afea6302a4976204a6bd5e5af9aafa84882f3e1147a969493","observation_id":"54f6959a-21da-4e0a-8f13-f660667e7dc1","resolution":{"observed_at":"2026-08-15T17:25:11.857211Z","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":"10.1214/16-ba1044.full","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:25:12.130950Z","title":", author Carvalho, C.M","venue":null,"work_id":"9aca889d-6052-4156-a8fd-0a25c90a08da","year":2018},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.861570Z"},"links":{"citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:e69b4d30d7fafb6782ff97b1dd1eec47b4401297926e64e271af05a189f1e59c","observation_id":"e4102c8e-6952-4468-9b90-c09325f52d85","resolution":{"observed_at":"2026-08-15T17:25:12.135502Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1214/19-ba1195.full","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:25:12.115016Z","title":", author Murray, J.S","venue":null,"work_id":"340f44fe-a713-4bf0-963e-054d944e29ad","year":2020},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.866163Z"},"links":{"citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:239d67ce493fc286dcc15e5a4627b10c85e73d7a50e3b34935a64f5f3bb877f3","observation_id":"b535866b-5f6f-43bd-901f-c79748604df3","resolution":{"observed_at":"2026-08-15T17:25:12.119799Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:25:11.870673Z","title":", author Lopes, H.F","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.870673Z"},"links":{"citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:5c5f58cb36b83f78f8d82800343d900f7b3f8a0f4ade9f800b3e3fb3e20a353b","observation_id":"26a56bb5-8776-4549-b9b4-5b9e33d2cd17","resolution":{"observed_at":"2026-08-15T17:25:11.870673Z","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":"10.1257/aer.20211616","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:25:12.099507Z","title":", author Kelley, E.M","venue":null,"work_id":"99ae09e1-18a0-4e9e-a10d-8ef75ee15540","year":2022},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.875342Z"},"links":{"citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:a096ad25d26eb3a30062763d1beb8f79d8681889d295fa7d00dc31de2171f708","observation_id":"f68389d4-1be8-4f6e-943b-982b8160d353","resolution":{"observed_at":"2026-08-15T17:25:12.104435Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.02299","last_updated":"2026-05-13T14:27:49Z","snapshot_observed_at":"2026-08-17T11:15:24.558258Z","submitted_at":"2023-11-04T02:03:48Z","title":"The Fragility of Sparsity","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.02299","snapshot_observed_at":"2026-08-15T17:25:11.879808Z","title":", author Müller, U.K","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.879808Z"},"links":{"cited_paper":"/paper/2311.02299","citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:b1c14cec912aa8e5e652f7956bb666824c75c1ac01077ac90735a7509975e661","observation_id":"eff6ba72-77d9-49d7-b5ef-af940d2e9d9f","resolution":{"observed_at":"2026-08-15T17:25:11.879808Z","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":"2026-08-15T17:25:11.884866Z","title":", author Ding, P","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.884866Z"},"links":{"citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:bb67033d2dd9ed6bf2abd3dd382d5ab0719984ff14e48c1b37ffb935cec3fb73","observation_id":"4f23f1e2-b7ad-4374-985d-6d6cfe1d8246","resolution":{"observed_at":"2026-08-15T17:25:11.884866Z","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":"2026-08-15T17:25:11.889510Z","title":", year 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.889510Z"},"links":{"citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:1e4556285f276718cdbed9ba4d40dd499ee109ddfb246469177cc4045e641c60","observation_id":"9b151993-5c88-49ef-b9d5-7d3ab9cb6a10","resolution":{"observed_at":"2026-08-15T17:25:11.889510Z","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":"2026-08-15T17:25:11.894150Z","title":", author Antonelli, J.L","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.894150Z"},"links":{"citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:eb3601d50998bf26da50bb43f4be0a16874b445c2b5b61a20a437c72f0a0d435","observation_id":"68202909-ee1e-4a3a-879e-61d80056e5dc","resolution":{"observed_at":"2026-08-15T17:25:11.894150Z","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":"10.1016/j.jspi.2022.12.005","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:25:12.058998Z","title":", author Graham, D.J","venue":null,"work_id":"6dba6d0b-56aa-4e79-80bc-67fea6469af8","year":2023},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.899274Z"},"links":{"citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:ae099b4908f838b7377212aea508a0b8c6ab12d0aef017f3dc30271a78775c42","observation_id":"eca1b5bf-de1b-4591-be30-a44cc987a9f3","resolution":{"observed_at":"2026-08-15T17:25:12.063536Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1214/19-aos1919.full","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:25:12.044439Z","title":", author Van Der Vaart, A","venue":null,"work_id":"4f277ddb-6d3c-4336-8e15-44bc01fc5573","year":2020},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.903880Z"},"links":{"citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:49100907880f29e56781b070a6d8031796fd0051b88257b54106ecb1000eeacd","observation_id":"b62dea36-fa77-4587-adc5-72182b5450ce","resolution":{"observed_at":"2026-08-15T17:25:12.048991Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/biomet/asw025","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:25:12.028924Z","title":", author Belzile, L.R","venue":null,"work_id":"d870497f-21ab-4ffd-a552-608fda3bdd6b","year":2016},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.909466Z"},"links":{"citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:d26cf4fd3d795f2344d7a9c49e42c810e2d867513c57985d494c7397d2c4cf10","observation_id":"8bd1044d-d0e4-4be5-b7f6-f65604e02811","resolution":{"observed_at":"2026-08-15T17:25:12.033737Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:25:12.859047Z","title":", author Xiu, D","venue":null,"work_id":"7d727c39-8861-47b5-a3d0-c7c69b9dd94d","year":2024},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.914216Z"},"links":{"citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:5ed94a196ff2867df61436bff860bfd7e362c30fbf861b8c2ac6be4a33652ca5","observation_id":"29704892-bbdd-48ea-8eb1-48c276d3451d","resolution":{"observed_at":"2026-08-15T17:25:12.863937Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:25:12.844163Z","title":", year 2012","venue":null,"work_id":"2dc05a33-7ce4-4987-8e47-a6ac45e2a3f6","year":2012},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.918739Z"},"links":{"citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:16d39534d7b6a2b090a8a2a5f40b840fa141be2fe005481c45825e436504ee60","observation_id":"7b5591dd-8038-4247-858c-f5bcdf754ed2","resolution":{"observed_at":"2026-08-15T17:25:12.848957Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.03816","last_updated":"2025-04-07T17:28:34Z","snapshot_observed_at":"2026-08-16T15:26:06.934970Z","submitted_at":"2023-06-06T16:02:22Z","title":"Parametrization, Prior Independence, and the Semiparametric Bernstein-von Mises Theorem for the Partially Linear Model","version":5},"cited_work":{"arxiv_id":"2306.03816","doi":"10.48550/arxiv.2306.03816","metadata_source":"pith","pith_arxiv_id":"2306.03816","snapshot_observed_at":"2026-08-15T18:16:14.067578Z","title":"Parametrization, Prior Independence, and the Semiparametric Bernstein-von Mises Theorem for the Partially Linear Model","venue":"math.ST","work_id":"eed76267-0fcc-413b-8ead-2ba08253b833","year":2023},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.923187Z"},"links":{"cited_paper":"/paper/2306.03816","citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:323399d8fa72d93df54ec315d74b45c32d1cc135075a540abfcd01ced7f5e58f","observation_id":"83984623-4467-498a-8135-689380c257fe","resolution":{"observed_at":"2026-08-15T17:25:12.018241Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1162/rest_a_01128","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:25:11.988998Z","title":", author Zhu, Y","venue":null,"work_id":"6a493c5b-f528-417e-a781-913999e84385","year":2023},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.928209Z"},"links":{"citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:6b7e8216693213561f1c0eeadb036386dfd6caef3639a6ddd0d7ec08c251fcc9","observation_id":"efeff801-29e6-4c1a-b411-20259ee3229b","resolution":{"observed_at":"2026-08-15T17:25:11.994773Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:25:11.932899Z","title":", author Chuang, H.C","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.932899Z"},"links":{"citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:e1537bf6df1b415f4a5aa5e221ffec4ba86e7916aa4077c5e45d8f04c9d544f1","observation_id":"20281601-e1b2-4cca-aa0c-00802c93b60d","resolution":{"observed_at":"2026-08-15T17:25:11.932899Z","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":"2026-08-15T17:25:12.829221Z","title":", year 1971","venue":null,"work_id":"ee4814d1-c635-4fe5-b9e7-2a99e5594cb8","year":1971},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.937340Z"},"links":{"citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:cc27496062b367323bf6966be3b2a6173ee15bdbab4c7c9c04e0910055afb90c","observation_id":"ac7be935-2441-422a-9049-13259105b0ba","resolution":{"observed_at":"2026-08-15T17:25:12.833891Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:25:11.942070Z","title":", author Naughton, B.P","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.942070Z"},"links":{"citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:051b4ddc5c092c5a8c665fbb0a2a9e99e2be94324428e923ca99bd944995b36f","observation_id":"499f856a-a7b6-4d4c-9ace-53d2a318080f","resolution":{"observed_at":"2026-08-15T17:25:11.942070Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1305.2015","last_updated":"2013-05-09T06:51:29Z","snapshot_observed_at":"2026-08-20T00:06:19.675498Z","submitted_at":"2013-05-09T06:51:29Z","title":"Minors of a Class of Riordan Arrays Related to Weighted Partial Motzkin Paths","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1305.2015","snapshot_observed_at":"2026-08-15T17:25:11.946871Z","title":", year 2016","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-15T17:25:11.946871Z"},"links":{"cited_paper":"/paper/1305.2015","citing_paper":"/paper/2508.12688"},"observation_digest":"sha256:5badddc60700aff745e0228d63c600ae788e0375f7c53daa0c3a27f7f9d3898c","observation_id":"55f218ec-e55a-4823-b296-1027e741c51b","resolution":{"observed_at":"2026-08-15T17:25:11.946871Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2508.12688","last_updated":"2025-08-18T07:41:06Z","latest_version":1,"primary_category":"econ.EM","snapshot_observed_at":"2026-08-20T14:50:38.111464Z","submitted_at":"2025-08-18T07:41:06Z","title":"Bayesian Double Machine Learning for Causal Inference"},"reference_resolution":{"displayed":35,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":15,"verified_exact":14,"verified_fuzzy":6},"total_outbound_references":35},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2508.12688."}