{"as_of":"2026-08-18T07:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1565d3d01860f83a87a33f016a463122c8c1f33c2088ca577658ecd366892dbd","coverage":[{"denominator":53,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":53,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T20:28:55.913147Z","state":"measured"},{"denominator":55,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":55,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T18:25:05.689149Z","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":"2026-08-12T06:16:15.957210Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.13072","snapshot_observed_at":"2026-08-15T18:25:05.689149Z","title":"Orthogonal sur- vival learners for estimating heterogeneous treatment eﬀec ts from time-to-event data,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.17686","last_updated":"2025-09-03T03:13:44Z","snapshot_observed_at":"2026-08-18T01:52:45.948914Z","submitted_at":"2025-07-23T16:51:09Z","title":"Debiased maximum-likelihood estimators for hazard ratios under kernel-based machine-learning adjustment","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T18:25:05.689149Z"},"links":{"cited_paper":"/paper/2505.13072","citing_paper":"/paper/2507.17686"},"observation_digest":"sha256:c8a828b3aabc487f17cbd45593236ef438fbc9001ce66b72510ea503a123352e","observation_id":"d6897e84-08a0-4fcd-ae6a-77e0f084960a","resolution":{"observed_at":"2026-08-15T18:25:05.689149Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"cited_work":{"arxiv_id":"2505.13072","doi":"10.48550/arxiv.2505.13072","metadata_source":"pith","pith_arxiv_id":"2505.13072","snapshot_observed_at":"2026-08-12T06:16:15.957210Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","venue":"cs.LG","work_id":"e511158a-d736-4867-ba81-94590775aef9","year":2025},"citing_paper":{"arxiv_id":"2608.07841","last_updated":"2026-08-08T00:48:59Z","snapshot_observed_at":"2026-08-14T01:29:58.717786Z","submitted_at":"2026-08-08T00:48:59Z","title":"Debiased Machine Learning for Partially Linear Accelerated Failure Time Models","version":1},"reference_index":172,"source":"arxiv_source","source_observed_at":"2026-08-12T00:57:13.473018Z"},"links":{"cited_paper":"/paper/2505.13072","citing_paper":"/paper/2608.07841"},"observation_digest":"sha256:0acd353f4ee91794cd95a73d3b9972fd60ec15df45a212f39aeb92a844d24052","observation_id":"b9c96ff3-fd4d-48d2-8ab0-efe29b4dfa11","resolution":{"observed_at":"2026-08-12T00:58:45.474727Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-14T20:38:24.011518+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-14T20:38:24.011518+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.13072/citation-record","integrity":"/paper/2505.13072/integrity","json":"/paper/2505.13072/citation-record.json","paper":"/paper/2505.13072"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:28:56.555363Z","title":"Conformal meta-learners for predictive inference of individual treatment effects","venue":null,"work_id":"7257c23e-88ea-490b-8326-9d1a900487d2","year":2023},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.686026Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:468fd12ea2af3bfa333115606dffd393e61ba87203bf9c9c0a19421832e86ce8","observation_id":"a3f8e2c1-d359-4b8a-9fc8-06a3a6902009","resolution":{"observed_at":"2026-08-15T20:28:56.560627Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:28:55.691153Z","title":"Policy learning with observational data","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.691153Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:2a3939465ccad2f81a6f6ed25cbd4b364b6c94eeb7a9b9462d47887b77238124","observation_id":"5bfc7c88-7cc1-4385-88d4-57901cfb1364","resolution":{"observed_at":"2026-08-15T20:28:55.691153Z","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":"2026-08-15T20:28:56.531925Z","title":"Doubly robust estimation in missing data and causal inference models","venue":null,"work_id":"bcdd7cec-8e0e-4774-b0b8-a129bfc95e44","year":2005},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.695452Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:8d639e93d08021c843f591923311759e184d4962b4680ad444db39bd6040c72a","observation_id":"5182b25c-897e-473a-8b16-0f87a8687d32","resolution":{"observed_at":"2026-08-15T20:28:56.537372Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:28:56.517772Z","title":"One-step targeted maximum likelihood for time-to- event outcomes","venue":null,"work_id":"0afc2721-8f0c-461a-98fb-bd1cfd913a67","year":2020},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.700836Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:ff6840c4845813f3aa5c9b88d4187774810841e2d5cc4811cd360d7764143f5c","observation_id":"56505f40-6e08-4189-8f6d-3ef52a49337b","resolution":{"observed_at":"2026-08-15T20:28:56.522397Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:28:55.705149Z","title":"Double/debiased machine learning for treatment and structural parameters","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.705149Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:ae84a79c7566985836680d74bc6f76e9d729ba68fc1fa52ca072cc40b9514e99","observation_id":"e627ae8b-ee94-4e3c-94ca-e6bb69f7312e","resolution":{"observed_at":"2026-08-15T20:28:55.705149Z","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":"2026-08-15T20:28:56.497636Z","title":"Counterfactual predic- tions under runtime confounding","venue":null,"work_id":"7fa155cf-a83b-4d83-bc06-5a0fe0928ffd","year":2020},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.710001Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:4a3812c5223c5d342284a6cbcd607eb242d3ae93c1b56c793182499166de1938","observation_id":"4156dd05-60be-49e0-8285-5337f959c49b","resolution":{"observed_at":"2026-08-15T20:28:56.501827Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:28:56.485451Z","title":"Estimating heterogeneous treatment effects with right-censored data via causal survival forests","venue":null,"work_id":"b919ab96-5c37-428f-aa50-5d448eda471b","year":2023},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.714935Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:0ca7f2b012454c528fffa9993106d347aa6df06ed0cb5201c777c91b3cbdb31b","observation_id":"011fa200-b081-49a2-93f8-09495a5f307b","resolution":{"observed_at":"2026-08-15T20:28:56.489681Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:28:56.473066Z","title":"SurvITE: Learning heterogeneous treatment effects from time-to-event data","venue":null,"work_id":"b5308477-5a4d-4755-9ab3-f28b0ce45b06","year":2021},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.719206Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:05e8a27889aa542facfeac3dde8ca279ba072b6f81f927f3c4373941fba38552","observation_id":"e97de616-73ba-42d0-8f51-35b16dde85c0","resolution":{"observed_at":"2026-08-15T20:28:56.477641Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:28:55.723371Z","title":"Nonparametric estimation of heterogeneous treat- ment effects: From theory to learning algorithms","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.723371Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:09c485556b68170925b4fe64b124850bc7df77357a4783bfa695f70123ef73d3","observation_id":"75ac44b0-7aca-4672-8390-17213b57975c","resolution":{"observed_at":"2026-08-15T20:28:55.723371Z","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":"2026-08-15T20:28:55.728114Z","title":"Causal machine learning for predicting treatment outcomes","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.728114Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:dd30ed19ad1432ce52eed7390e9c6d6d586b541f8222f8adf1b2eb3bfc3e893a","observation_id":"8c7a2c1a-9e4f-448f-b5c8-f25b3ed2fef7","resolution":{"observed_at":"2026-08-15T20:28:55.728114Z","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":"2026-08-15T20:28:55.732648Z","title":"Orthogonal statistical learning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.732648Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:7c376073410ab1ad70a312e1e462834a58682cf1381762bb08598433f36e5ad6","observation_id":"56fbe8b5-712f-4ee1-82d4-b8c36b9c59b8","resolution":{"observed_at":"2026-08-15T20:28:55.732648Z","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":"2026-08-15T20:28:56.438574Z","title":"Estimating individual treatment effects under unob- served confounding using binary instruments","venue":null,"work_id":"9cbe5f2f-bee2-4234-b6c2-e1d9215936be","year":2023},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.736894Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:2546653b769ea7b11704ee6d87c1bd7e9affb9540b68d8eb6092421dc861d35a","observation_id":"9e4e34c1-4412-44e9-b902-09d257ad951a","resolution":{"observed_at":"2026-08-15T20:28:56.443094Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:28:55.741400Z","title":"Model-agnostic meta-learners for estimating heterogeneous treatment effects over time","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.741400Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:4ea6d8a24e8316885663f7f9adefe7424284003a6d8f18c6e39e3681d97542fe","observation_id":"2a47d3ef-57b9-46ff-b2a5-6c7bb7908a9a","resolution":{"observed_at":"2026-08-15T20:28:55.741400Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.04277","last_updated":"2022-01-27T11:30:49Z","snapshot_observed_at":"2026-08-18T06:03:15.595838Z","submitted_at":"2021-03-07T05:40:53Z","title":"Estimating Heterogeneous Treatment Effects for General Responses","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.04277","snapshot_observed_at":"2026-08-15T20:28:55.745530Z","title":"Estimating Heterogeneous Treatment Effects for General Responses","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.745530Z"},"links":{"cited_paper":"/paper/2103.04277","citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:d62082bac4ac7752ee9be45c671e0d2007d40b21a7cc0aac5a4aeeb80fb26b6b","observation_id":"6d2559b8-fd96-4b06-9a0a-e79377d04b4b","resolution":{"observed_at":"2026-08-15T20:28:55.745530Z","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":"2026-08-15T20:28:55.750268Z","title":"Causal inference in public health","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.750268Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:da1c583c8e723f9ab8c31b3f41550b96f9e656746b6e63a86e24248f8b6f7da4","observation_id":"85ce5c92-f9b0-4a1c-a644-abc5b04b2234","resolution":{"observed_at":"2026-08-15T20:28:55.750268Z","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":"2026-08-15T20:28:56.410189Z","title":"Individualized treatment effects with censored data via fully nonparametric Bayesian accelerated failure time models","venue":null,"work_id":"8c5552c4-b730-4507-b72e-57be091f3fbb","year":2020},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.754299Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:1aa6d940916155717a5628343a50974b071d8d0fb86e840141a8fde568bc4c8b","observation_id":"43e0b6cb-39e9-46a9-a59d-aca9f6233091","resolution":{"observed_at":"2026-08-15T20:28:56.414483Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:28:55.758391Z","title":"Bayesian nonparametric modeling for causal inference","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.758391Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:cfff6a285fa9c2e0c20bd3e221e49189e7063581a7d0938d425ca642851b30a1","observation_id":"e942422a-c3af-4779-ab7d-da3d2d9f1d32","resolution":{"observed_at":"2026-08-15T20:28:55.758391Z","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":"2026-08-15T20:28:56.390129Z","title":"Estimating heterogeneous survival treatment effect in observational data using machine learning","venue":null,"work_id":"271d476d-160d-4094-b755-03eed65f2b8a","year":2021},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.762376Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:d2feba5afbef94e6d7a4227f8e58087d3b1487054e06c55eccd0c2461c9f3299","observation_id":"dfaaa3bd-1757-4201-8f10-16ded0b7678c","resolution":{"observed_at":"2026-08-15T20:28:56.394406Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:28:56.377454Z","title":"Identification and estimation of local average treatment effects","venue":null,"work_id":"186d0aa2-797a-4136-af1b-757782b77424","year":1994},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.766492Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:51a8ce728935d3f4c1acb6db1fe6d6ad4d6172d79f4962d82db4ab817a3d30f9","observation_id":"de91cc3c-8e4d-4685-aeb7-c61ec9321ac4","resolution":{"observed_at":"2026-08-15T20:28:56.381820Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:28:55.770895Z","title":"More efficient policy learning via optimal retargeting","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.770895Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:7421a1fa8a808fe536003428887f0bcdabedec09ad17eb80d507b5828523bd50","observation_id":"e80ba415-1752-4d61-a180-fa43aab2f75f","resolution":{"observed_at":"2026-08-15T20:28:55.770895Z","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":"2026-08-15T20:28:56.357117Z","title":"DeepSurv: Personalized treatment recommender system using a Cox proportional hazards deep neural network","venue":null,"work_id":"97e29e46-f876-4465-a6aa-358f62b41e7f","year":2018},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.774728Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:0ff98bee05e6d1e0b8dc4051b435d6cda97e19cd5739df0e0fb80151c119e10b","observation_id":"cc4b32b8-c8da-4537-8bd9-6b52247ee68a","resolution":{"observed_at":"2026-08-15T20:28:56.361522Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:28:56.343799Z","title":"Semiparametric doubly robust targeted double machine learning: A review","venue":null,"work_id":"7757bb00-f72f-44b1-bf0f-02289fd95071","year":2022},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.778465Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:c81c56cc0aefef0028135b594351c958d02da48c4d27f57cb6c1b7eed18ae57b","observation_id":"7c1fba73-d801-4978-84ea-c36c6aea96ef","resolution":{"observed_at":"2026-08-15T20:28:56.348718Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:28:55.782615Z","title":"Towards optimal doubly robust estimation of heterogeneous causal effects","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.782615Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:dcb4a14b8b2cd79121a50ae0a55c2aad2c1ac8ced0df0aa3374d2f0973297b73","observation_id":"9cb3b495-0bc8-4157-b591-7104060d5a5d","resolution":{"observed_at":"2026-08-15T20:28:55.782615Z","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":"2026-08-15T20:28:56.322983Z","title":"Real-world progression, treatment, and survival outcomes during rapid adoption of immunotherapy for advanced non–small cell lung cancer","venue":null,"work_id":"42d5be80-f31f-4adc-8887-17847b1bda78","year":2019},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.786637Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:e518432f5945cfb09f43b18fbd28095d31c0de0e9d6e76287b1f739b8fa629e2","observation_id":"4012872c-fe6f-41fd-8fcb-3eb602331cef","resolution":{"observed_at":"2026-08-15T20:28:56.327398Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:28:56.310489Z","title":"Klein and Melvin L","venue":null,"work_id":"1158aaab-c321-4389-ad2d-538dcff3a2b6","year":2003},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.791063Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:874a9211777cd544a7c45eb7c750e3dc4f097a0e897db1039287b35a55eedbd0","observation_id":"4931467a-6da5-4332-9f97-42df7c0b0d02","resolution":{"observed_at":"2026-08-15T20:28:56.314632Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:28:56.297795Z","title":"Prediction from randomly right censored data","venue":null,"work_id":"3c82d90a-6e9c-46bc-a1cd-4d6f97454bf0","year":2002},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.795528Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:5d0d4accbf41ec948e8db266d8e273838b8a9458af17f7962ba5210974b575fc","observation_id":"601d643f-bace-44e2-95f9-4373cbb465e8","resolution":{"observed_at":"2026-08-15T20:28:56.301930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:28:55.799618Z","title":"Metalearners for estimating heterogeneous treatment effects using machine learning","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.799618Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:1366f15d1aed30403e25fa980d9f386d22425f33ce2512b76951c97c6b182429","observation_id":"cc6fceee-68db-44de-bb21-f6efe40c192f","resolution":{"observed_at":"2026-08-15T20:28:55.799618Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.04699","last_updated":"2025-04-26T20:49:30Z","snapshot_observed_at":"2026-08-08T21:46:54.601108Z","submitted_at":"2025-02-07T07:04:37Z","title":"A Meta-learner for Heterogeneous Effects in Difference-in-Differences","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.04699","snapshot_observed_at":"2026-08-15T20:28:55.804420Z","title":"A meta-learner for heterogeneous effects in difference-in-differences","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.804420Z"},"links":{"cited_paper":"/paper/2502.04699","citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:be8554cf064e3583d930f23467605d69b377ac47f80816c4ffd154c10e0884bb","observation_id":"cbc41364-ab7e-45a6-8938-b198d8d35df5","resolution":{"observed_at":"2026-08-15T20:28:55.804420Z","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":"2026-08-15T20:28:56.277743Z","title":"Causal effect inference with deep latent-variable models","venue":null,"work_id":"b6cf2763-f0ef-4d3f-a1eb-5a71e26be33a","year":2017},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.808841Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:adf6e6d44e72d387d225a3810383848aa998214909392bb84b7fbd6cf1f15741","observation_id":"00ef4ccf-678d-489a-b581-6728a9c32e05","resolution":{"observed_at":"2026-08-15T20:28:56.281915Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.12687","last_updated":"2024-06-01T00:38:53Z","snapshot_observed_at":"2026-08-16T15:46:10.944588Z","submitted_at":"2023-03-22T16:35:19Z","title":"On Weighted Orthogonal Learners for Heterogeneous Treatment Effects","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.12687","snapshot_observed_at":"2026-08-15T20:28:55.813182Z","title":"On a general class of orthogonal learners for the estimation of heterogeneous treatment effects","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.813182Z"},"links":{"cited_paper":"/paper/2303.12687","citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:0dda7948ab9ae4bed389074cb8d0732aa6d851e8a1b12c39604cefe94a79aa99","observation_id":"2840ac3e-2088-45c1-bc29-b300e0172081","resolution":{"observed_at":"2026-08-15T20:28:55.813182Z","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":"2026-08-15T20:28:55.817648Z","title":"Quasi-oracle estimation of heterogeneous treatment effects","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.817648Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:f0ab6b2f621222b723841d281676472b8cf37773f3dbed44288b0ee4867b3182","observation_id":"6b20c17f-7d6a-4f1b-a227-712124d46387","resolution":{"observed_at":"2026-08-15T20:28:55.817648Z","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":"2026-08-15T20:28:56.255794Z","title":"B-learner: Quasi-oracle bounds on heterogeneous causal effects under hidden confounding","venue":null,"work_id":"f9bfe154-e29e-41ef-b40f-981a40d0ff4b","year":2023},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.821910Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:7de8efc93550fb9d3c0550f7aa3c22d43e519692d51ba4f004b2a3ba3a327351","observation_id":"f974851b-bde2-4ef9-98a2-a6f4d389c824","resolution":{"observed_at":"2026-08-15T20:28:56.260192Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:28:56.239573Z","title":"Clinical trials in older people","venue":null,"work_id":"d3585c29-7a80-4e9d-88ef-f424bd0e6035","year":2022},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.825871Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:80acdf1807719f6fa7b291e5149005886cec3b135146d8fd946d6f6ec164030f","observation_id":"de516c8d-25e1-4c61-a7d7-a6de1d4feef2","resolution":{"observed_at":"2026-08-15T20:28:56.244888Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:28:56.225778Z","title":"Robust estimation in sequentially ignorable missing data and causal inference models","venue":null,"work_id":"8b57a2b9-15bc-434e-a361-38306b28c106","year":1999},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.829997Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:71c4fc2f97d3fb5b3e479bff00831aae5821c96898fcd70206a1cdb917cf9094","observation_id":"24ceb896-03ad-4766-95e3-6987b244f366","resolution":{"observed_at":"2026-08-15T20:28:56.230564Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:28:56.212450Z","title":"Estimation of reression coefficients when some regressors are not always observed","venue":null,"work_id":"0cd52710-cab6-4780-b2db-94199cb3007d","year":1994},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.834649Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:2a75ee15aff6a84715fe692ac45595a4a99d9d2df1743e331ee7a2ff2d60e972","observation_id":"08f34282-1b9b-4467-8b0f-788dc9b1b52b","resolution":{"observed_at":"2026-08-15T20:28:56.216726Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:28:56.199042Z","title":"Doubly robust censoring unbiased transformations","venue":null,"work_id":"7f3b5717-aacf-43e3-b216-2e53cde96c32","year":2007},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.839448Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:2aec5a6b74914405e0c824f8332cb9d30427499a749f292b454724fd88e95d5c","observation_id":"30c04383-572b-4f7e-986d-0acd7c4995ef","resolution":{"observed_at":"2026-08-15T20:28:56.203433Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:28:55.843373Z","title":"Estimating causal effects of treatments in randomized and nonrandomized studies","venue":null,"work_id":null,"year":1974},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.843373Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:eeebf748691424320cde25ba267d41def7f8953cb396cee3e214c3c2d690606b","observation_id":"712ce361-72bf-4dd9-bfad-d0de9ef44bfa","resolution":{"observed_at":"2026-08-15T20:28:55.843373Z","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":"2026-08-15T20:28:56.178734Z","title":"BITES: Balanced individual treatment effect for survival data","venue":null,"work_id":"8f933cfc-1961-4237-9045-e8186b039fe3","year":2022},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.847526Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:12992d144f844077e752e5a264524bcdcd62749f1569efc65ad42f3d5a1d2c09","observation_id":"34b04e9c-ed76-4be3-85c1-a034093cba8d","resolution":{"observed_at":"2026-08-15T20:28:56.182997Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:28:56.165578Z","title":"Meta-learners for partially-identified treatment effects across multiple environments","venue":null,"work_id":"da4152b7-1a58-4923-8d31-667121fddc3f","year":2024},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.851330Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:18f0c98894dc5e63209f3db30a34b80b3336dd999f1d80cae36e2deef5f0a733","observation_id":"969da877-b1f8-429a-b7ca-c1398832aadc","resolution":{"observed_at":"2026-08-15T20:28:56.169752Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:28:55.855272Z","title":"Estimating individual treatment effect: Generalization bounds and algorithms","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.855272Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:042e76f9ac512fd2a666a5fa9ea97456b9eb35c7559717369927b15ce6636017","observation_id":"31a0919f-f20b-4d55-a827-b145a4db2728","resolution":{"observed_at":"2026-08-15T20:28:55.855272Z","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":"2026-08-15T20:28:56.146085Z","title":"Association of Patient Characteristics and Tumor Genomics with clinical outcomes among patients with non–small cell lung cancer using a clinicogenomic database","venue":null,"work_id":"d75d1888-5a53-437d-b8df-cd4b0d188b40","year":2019},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.860045Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:350ecd1527501a6203e2c2c43cef605cc5ba49efaee175ba30a0bce33164fb5a","observation_id":"09e4061b-8afe-42fb-abff-cb70728cb8e0","resolution":{"observed_at":"2026-08-15T20:28:56.150590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:28:56.132007Z","title":"Machine learning estimation of heterogeneous treatment effects with instruments","venue":null,"work_id":"02f79eb0-2df4-413b-9ee4-2ed2ad3f462f","year":2019},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.864039Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:41b20a23a3a7c7c521c13bd946fbcfe914e16ff72355d9b3c7bcdb8929097f07","observation_id":"43855b6b-8522-4e91-9bee-d1c825dc096a","resolution":{"observed_at":"2026-08-15T20:28:56.136721Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:28:56.117831Z","title":"Non-parametric individual treatment effect estimation for survival data with random forests","venue":null,"work_id":"4602ed33-b9d6-4980-85e4-7922a9713f47","year":2020},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.868158Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:e293eddb8e50fa639752afc596516ece720947ee1c036101f9ee5849cdcdd01b","observation_id":"2c2e280f-e3b4-45aa-8e7e-f952c310dd88","resolution":{"observed_at":"2026-08-15T20:28:56.122307Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:28:55.873301Z","title":"Statistical inference for variable importance","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.873301Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:673fb28cc710be8ce9345dc59ed854c1051418ceab948367c581bb0dcb7e30fc","observation_id":"0dbc5047-0260-4c38-b6b9-14798a8688de","resolution":{"observed_at":"2026-08-15T20:28:55.873301Z","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":"2026-08-15T20:28:56.094828Z","title":"van der Laan and James M","venue":null,"work_id":"7f7badf5-be95-47e2-a44e-7b77554491aa","year":2003},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.877661Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:f6a618ee801ca99490747d31e9fc59fa35649e8e7856b6564744029206497aba","observation_id":"dab77bf7-ad83-4d56-9bcc-d8d454ec5aa0","resolution":{"observed_at":"2026-08-15T20:28:56.099505Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:28:55.881995Z","title":"Targeted maximum likelihood learning","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.881995Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:1d165a2b17a10db66173ecbf84ed25233409cf94734b5a0b6ecaf0a6ba55c1ee","observation_id":"68524ebb-d428-4582-b23d-e5a1f82795ac","resolution":{"observed_at":"2026-08-15T20:28:55.881995Z","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":"2026-08-15T20:28:55.886140Z","title":"Asymptotic statistics","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.886140Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:d2134960e50e97a4a9069574573da054d98953984b5e162d170753f3c2a2b97e","observation_id":"0841cf6a-fffe-4bc1-806b-4f1af5eb815e","resolution":{"observed_at":"2026-08-15T20:28:55.886140Z","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":"2026-08-15T20:28:56.061932Z","title":"Inference for treatment-specific survival curves using machine learning","venue":null,"work_id":"074c50b0-a663-4432-866c-8b57eb5754a0","year":2023},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.890416Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:376f233c50fcf68cb504ae902390d190fb3223eafb4bfdbbdf7c7d84c38e07f4","observation_id":"37e80e50-0dc9-48ed-ae13-79dcf4b2047e","resolution":{"observed_at":"2026-08-15T20:28:56.066533Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:28:56.047804Z","title":"Deep Learning for Survival Analysis: A Review","venue":null,"work_id":"825d6da8-724f-42f3-be94-c02cf2d64e55","year":2024},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.894773Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:e9d828a2d569803f7495916ea902ff15855df8fe17213dca2ca5a11394fcbff1","observation_id":"4a7e967d-0208-43bf-83c1-3d777c14c401","resolution":{"observed_at":"2026-08-15T20:28:56.052219Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.11263","last_updated":"2024-09-27T13:15:36Z","snapshot_observed_at":"2026-08-18T03:00:08.556725Z","submitted_at":"2024-01-20T16:17:06Z","title":"Estimating Heterogeneous Treatment Effects on Survival Outcomes Using Counterfactual Censoring Unbiased Transformations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.11263","snapshot_observed_at":"2026-08-15T20:28:55.899542Z","title":"Estimating heterogeneous treatment effects on survival outcomes using counterfactual censoring unbiased transformations","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.899542Z"},"links":{"cited_paper":"/paper/2401.11263","citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:4d0cfa3efd22bd65bd7e4fda5dff1eddabb6e79b6317cfdd23f1c070450b144e","observation_id":"e964d60f-800e-459b-9259-26eb7286f78c","resolution":{"observed_at":"2026-08-15T20:28:55.899542Z","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":"2026-08-15T20:28:56.032746Z","title":"Treatment heterogeneity for survival outcomes","venue":null,"work_id":"31a2427d-2117-4911-a501-1f3e215160d9","year":2023},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.904235Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:0468197592bea9e7acfb8b802bb260397c208ceea97eeaef183f6e8813c8f8d6","observation_id":"e470bba1-3c64-486b-91b8-e1846801698e","resolution":{"observed_at":"2026-08-15T20:28:56.037883Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:28:56.017002Z","title":"Mining heterogeneous causal effects for personalized cancer treatment","venue":null,"work_id":"1dae2bb8-b65e-4f3e-882a-c7b44f0aea7a","year":2017},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.908835Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:a441345785e028e883569db30f0499aecd737c62d16fd2f6452be1ae6be83d4e","observation_id":"926076e3-5dae-479a-a67e-e892c9a029b4","resolution":{"observed_at":"2026-08-15T20:28:56.022391Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:28:55.999324Z","title":"Targeted estimation of heterogeneous treatment effect in ob- servational survival analysis","venue":null,"work_id":"c98a6405-a36b-4984-aead-439f143cc7ca","year":2020},"citing_paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:55.913147Z"},"links":{"citing_paper":"/paper/2505.13072"},"observation_digest":"sha256:57736a3ace58bad19e5892860d0f097a08c8f0ebecc081f90930c16fe8c3031e","observation_id":"a81e2788-0006-447a-9514-6993630cffd1","resolution":{"observed_at":"2026-08-15T20:28:56.006322Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.13072","last_updated":"2025-05-19T13:06:41Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-15T20:18:22.858091Z","submitted_at":"2025-05-19T13:06:41Z","title":"Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data"},"reference_resolution":{"displayed":53,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":21,"verified_exact":0,"verified_fuzzy":32},"total_outbound_references":53},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 2 inbound Pith citation observations for arXiv:2505.13072."}