{"as_of":"2026-08-12T13:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:85a31775fcd4e4e860011c676ed458b70b07940a5f35e5abeca79d9dad414f58","coverage":[{"denominator":32,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":32,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T23:04:31.689533Z","state":"measured"},{"denominator":35,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":35,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-13T18:52:41.486444Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-06-30T13:24:40.749775Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.02900","snapshot_observed_at":"2026-07-13T18:52:41.486444Z","title":"Vigneshwaran, E","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.24388","last_updated":"2026-06-05T20:33:44Z","snapshot_observed_at":"2026-08-09T13:49:57.562783Z","submitted_at":"2026-03-25T15:04:53Z","title":"Causal Transfer in Medical Image Analysis","version":2},"reference_index":164,"source":"pdf_text","source_observed_at":"2026-07-13T18:52:41.486444Z"},"links":{"cited_paper":"/paper/2412.02900","citing_paper":"/paper/2603.24388"},"observation_digest":"sha256:b50e80374c9571e4e26fa6406aabf2cb6fb71f7c7e2bdd6536708e46e53cffb8","observation_id":"7e5908ee-8708-4d59-a560-d246230937a3","resolution":{"observed_at":"2026-07-13T18:52:41.486444Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"cited_work":{"arxiv_id":"2412.02900","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.02900","snapshot_observed_at":"2026-07-22T00:22:11.139703Z","title":"Macaw: A causal generative model for medical imaging","venue":null,"work_id":"f0247ddc-6ef2-4d35-ad5f-7ca60788a467","year":2024},"citing_paper":{"arxiv_id":"2605.04108","last_updated":"2026-05-04T16:43:22Z","snapshot_observed_at":"2026-07-06T23:16:54.673178Z","submitted_at":"2026-05-04T16:43:22Z","title":"MuCALD-SplitFed: Causal-Latent Diffusion for Privacy-Preserving Multi-Task Split-Federated Medical Image Segmentation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-08T18:44:45.397374Z"},"links":{"cited_paper":"/paper/2412.02900","citing_paper":"/paper/2605.04108"},"observation_digest":"sha256:cc9c848ccbdd86eaa19b80b923b344bf0c8e87035d64aa992cc279dd524aac7d","observation_id":"10766b8f-cf9c-49f5-ac3c-109e17571f12","resolution":{"observed_at":"2026-07-22T00:22:11.139703Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"cited_work":{"arxiv_id":"2412.02900","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.02900","snapshot_observed_at":"2026-07-22T00:22:11.139703Z","title":"Macaw: A causal generative model for medical imaging","venue":null,"work_id":"f0247ddc-6ef2-4d35-ad5f-7ca60788a467","year":2024},"citing_paper":{"arxiv_id":"2606.28684","last_updated":"2026-06-27T01:54:46Z","snapshot_observed_at":"2026-08-07T23:01:38.868590Z","submitted_at":"2026-06-27T01:54:46Z","title":"A Neuroimaging Simulation Framework for Developing and Evaluating Causal AI","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-30T09:09:30.695363Z"},"links":{"cited_paper":"/paper/2412.02900","citing_paper":"/paper/2606.28684"},"observation_digest":"sha256:a8d234b5634f83716f557b51c2a77752f1f07ff6015dceb5e4c61051086c09bc","observation_id":"12ee191f-efb7-4384-8368-9a1706501b78","resolution":{"observed_at":"2026-07-22T00:22:11.139703Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2412.02900/citation-record","integrity":"/paper/2412.02900/integrity","json":"/paper/2412.02900/citation-record.json","paper":"/paper/2412.02900"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1139/gen-2020-0131","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:04:31.888303Z","title":null,"venue":null,"work_id":"c5053d8e-3651-440c-8681-96058e20b8b1","year":2021},"citing_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T23:04:31.529311Z"},"links":{"citing_paper":"/paper/2412.02900"},"observation_digest":"sha256:4946f7a2467dcda9ca01b76ef125c69695379b04fc5161ae1919c6954718e5be","observation_id":"bec2d093-35fb-4b48-99ac-cec0428b7772","resolution":{"observed_at":"2026-08-11T23:04:31.893703Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T23:04:32.703661Z","title":null,"venue":null,"work_id":"75eba7f8-1b5c-4cef-b829-8da1f20eae7b","year":2024},"citing_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T23:04:31.535156Z"},"links":{"citing_paper":"/paper/2412.02900"},"observation_digest":"sha256:457b1674e47c27e24576f975ec95f72a405c18a858ad5f2cdb781780b1a589e9","observation_id":"4d8e0fae-bf91-4ef1-bce7-c842eed7d7ba","resolution":{"observed_at":"2026-08-11T23:04:32.708903Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T23:04:31.540552Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T23:04:31.540552Z"},"links":{"citing_paper":"/paper/2412.02900"},"observation_digest":"sha256:05c347b586264cb05817b6ed524749584bdb21f64f2815b5d4a80262717e62c3","observation_id":"bcf4508f-4a70-47f7-8fb9-b5ed6d88c297","resolution":{"observed_at":"2026-08-11T23:04:31.540552Z","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":"10.1088/1741-2552/abbff2","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:04:31.859900Z","title":null,"venue":null,"work_id":"2ab0486a-dc07-45e4-a485-fc147aa6d477","year":2020},"citing_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T23:04:31.545759Z"},"links":{"citing_paper":"/paper/2412.02900"},"observation_digest":"sha256:09429f9c54aa54e9ed2a4eeb0039059e8ddde5e5a32d0ef81bea601ec6788f04","observation_id":"5ba3403f-d06a-494a-af7e-797ae6387eb8","resolution":{"observed_at":"2026-08-11T23:04:31.865049Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T23:04:31.550804Z","title":"Souza, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T23:04:31.550804Z"},"links":{"citing_paper":"/paper/2412.02900"},"observation_digest":"sha256:a7dc09ed3b683fb34924e17547207c875d71e5257dfbc0583b164335ccdc4749","observation_id":"0fa18a08-0a33-4f1f-8ae2-9cd64d0493e3","resolution":{"observed_at":"2026-08-11T23:04:31.550804Z","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":"2026-08-11T23:04:31.555905Z","title":"Sanchez, J","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T23:04:31.555905Z"},"links":{"citing_paper":"/paper/2412.02900"},"observation_digest":"sha256:2cfcb87dfff3e9378c767a960d8eda1ec3cded65696e601967e8c6aae5c79691","observation_id":"86dde4d5-1b37-491d-bffd-6c088a752b20","resolution":{"observed_at":"2026-08-11T23:04:31.555905Z","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":"10.21236/ada557445","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:04:31.829258Z","title":"Pearl, The Causal Foundations of Structural Equation Mode ling:, Tech","venue":null,"work_id":"69616dd9-6df7-4d47-ad49-f8e9f4893d2f","year":2012},"citing_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T23:04:31.561464Z"},"links":{"citing_paper":"/paper/2412.02900"},"observation_digest":"sha256:6f2ab203e42d01cd2874c4c1d0c96f04e6dca2bfbf5b247a04865171492ff9bc","observation_id":"c2187d46-1899-48e0-96c6-0c0982919c2b","resolution":{"observed_at":"2026-08-11T23:04:31.835110Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T23:04:32.685704Z","title":"Pawlowski, D","venue":null,"work_id":"b83857ca-e60d-4497-997a-5471d7f38b6a","year":2020},"citing_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T23:04:31.566258Z"},"links":{"citing_paper":"/paper/2412.02900"},"observation_digest":"sha256:e4037ba5b0c4d3a81cf9fab3345dca8bd9b678f9b6857244dfb4d1a02b462dd4","observation_id":"cd8f5afc-c630-4f8f-885e-094d573c0e25","resolution":{"observed_at":"2026-08-11T23:04:32.691360Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.00793","last_updated":"2022-10-03T18:18:48Z","snapshot_observed_at":"2026-07-06T11:25:15.380607Z","submitted_at":"2021-07-02T01:55:18Z","title":"The Causal-Neural Connection: Expressiveness, Learnability, and Inference","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.00793","snapshot_observed_at":"2026-08-11T23:04:31.571079Z","title":"Xia, K.-Z","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T23:04:31.571079Z"},"links":{"cited_paper":"/paper/2107.00793","citing_paper":"/paper/2412.02900"},"observation_digest":"sha256:6c77eeaaf23245a1e47b1d204e99d073fdf7c2ce02804006deeb02382562f903","observation_id":"cef42306-da79-4cd1-ad17-6ed981e493d5","resolution":{"observed_at":"2026-08-11T23:04:31.571079Z","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":"2026-08-11T23:04:32.667242Z","title":null,"venue":null,"work_id":"e2bf9a59-729a-4b37-8dc8-962ae6922b43","year":2023},"citing_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T23:04:31.576634Z"},"links":{"citing_paper":"/paper/2412.02900"},"observation_digest":"sha256:f6ded2b81b222e1a47117e05efe476c62814c57cab78255efc51adbcef68d2cb","observation_id":"b5838070-c012-44d0-a87a-1c00b5fcb7cd","resolution":{"observed_at":"2026-08-11T23:04:32.673132Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T23:04:31.581572Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T23:04:31.581572Z"},"links":{"citing_paper":"/paper/2412.02900"},"observation_digest":"sha256:19402349e84dfb5392b960b9237b9b4d48f939fa259eea8541f5f72c0ee75d5a","observation_id":"dec5d7d8-c3c2-42a4-9f83-e4be115a5e69","resolution":{"observed_at":"2026-08-11T23:04:31.581572Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.10166","last_updated":"2022-02-21T12:23:01Z","snapshot_observed_at":"2026-08-06T14:29:01.245119Z","submitted_at":"2022-02-21T12:23:01Z","title":"Diffusion Causal Models for Counterfactual Estimation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.10166","snapshot_observed_at":"2026-08-11T23:04:31.586512Z","title":"Sanchez, S","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T23:04:31.586512Z"},"links":{"cited_paper":"/paper/2202.10166","citing_paper":"/paper/2412.02900"},"observation_digest":"sha256:ce95b2be3134ed9e2609067629284e9a1706d1d7abd619efc1c62ee6957250bc","observation_id":"e7e43782-c06c-48f6-a97d-d56ce2f9624a","resolution":{"observed_at":"2026-08-11T23:04:31.586512Z","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":"2026-08-11T23:04:31.591703Z","title":"Wilms, J","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T23:04:31.591703Z"},"links":{"citing_paper":"/paper/2412.02900"},"observation_digest":"sha256:2bda55d6228bffad2538c1e11738147e28f3e124277a6be8f51bbaaf9ef3e9c6","observation_id":"994dcc4f-9549-45aa-b8f6-880bcce7a387","resolution":{"observed_at":"2026-08-11T23:04:31.591703Z","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":"2026-08-11T23:04:31.596520Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T23:04:31.596520Z"},"links":{"citing_paper":"/paper/2412.02900"},"observation_digest":"sha256:6967ae2b58bc8ad87cec37a0b99f91b16b7d109c7b17df915f80bf8a583fb9c5","observation_id":"69f807be-c87e-44ca-8a0d-27a8e00f7207","resolution":{"observed_at":"2026-08-11T23:04:31.596520Z","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":"2026-08-11T23:04:32.648489Z","title":"Peters, D","venue":null,"work_id":"38845767-d1fb-4b46-ac7b-713ff586a5e2","year":2017},"citing_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T23:04:31.601137Z"},"links":{"citing_paper":"/paper/2412.02900"},"observation_digest":"sha256:30755c692fb0a21b7300176dfb31b3e7d8ef086f7e32e8e612df9dd2ff9e7848","observation_id":"751e33e0-0646-4506-9b90-1a6aa1d12d8e","resolution":{"observed_at":"2026-08-11T23:04:32.654125Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T23:04:32.630530Z","title":"Glymour, K","venue":null,"work_id":"f1145144-09b8-4a17-b87d-c2876598e4db","year":2019},"citing_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T23:04:31.606605Z"},"links":{"citing_paper":"/paper/2412.02900"},"observation_digest":"sha256:5eb5b371e860d7ad55b8bab5cb87903c0458a8c917bbb46981f13b5d4febe90f","observation_id":"03de8edd-8203-428d-9a00-810e2223b43f","resolution":{"observed_at":"2026-08-11T23:04:32.636372Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T23:04:31.611510Z","title":"Kobyzev, S","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T23:04:31.611510Z"},"links":{"citing_paper":"/paper/2412.02900"},"observation_digest":"sha256:843053f8f3c6916a0ed74f952873c1fb54abe9816f72320f967d712cd2537ba1","observation_id":"9e952f2d-253e-4ba3-b528-df1c7ee8190f","resolution":{"observed_at":"2026-08-11T23:04:31.611510Z","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":"2026-08-11T23:04:32.611933Z","title":"Wehenkel, G","venue":null,"work_id":"44be2e48-1457-4262-b8a1-229e43966160","year":2021},"citing_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T23:04:31.616235Z"},"links":{"citing_paper":"/paper/2412.02900"},"observation_digest":"sha256:cb5c5f9d3a13e381e0846a4a65a6b9eb0c6c5a506fba212e0e711ed4dd35c837","observation_id":"9936ee1d-cf92-4f2c-aa0a-4d2ada694c40","resolution":{"observed_at":"2026-08-11T23:04:32.617503Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T23:04:32.593035Z","title":"Khemakhem, R","venue":null,"work_id":"e5281648-fca0-4ee7-9fbf-b9d27c38cbe1","year":2021},"citing_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T23:04:31.621000Z"},"links":{"citing_paper":"/paper/2412.02900"},"observation_digest":"sha256:ad89adfb6f0b9afe32bf09cc8770739ddbbacf9aa07cc350532e6a6f4e3dbeea","observation_id":"febd433c-e3dd-4d1d-9f36-f2d21571dfa5","resolution":{"observed_at":"2026-08-11T23:04:32.599313Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T23:04:32.574307Z","title":"Germain, K","venue":null,"work_id":"53fd457e-95c0-402d-9760-5d1e3b3147a3","year":2015},"citing_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T23:04:31.626158Z"},"links":{"citing_paper":"/paper/2412.02900"},"observation_digest":"sha256:05c091d0e76ceb693fced0a4c7772f96157c13cb646fad27fffff7b98f39ef7a","observation_id":"fab7a2c7-2b74-4980-be08-00f6b8ded847","resolution":{"observed_at":"2026-08-11T23:04:32.579424Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T23:04:32.553658Z","title":"Papamakarios, T","venue":null,"work_id":"2345f120-d9d6-409f-9f60-c983069d01fb","year":2017},"citing_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T23:04:31.630964Z"},"links":{"citing_paper":"/paper/2412.02900"},"observation_digest":"sha256:86d5c1f510cbdc20e937c7e538c7ee3d1b7e97f845392584fbe7ea69b647463c","observation_id":"a3dd1257-2b47-49ad-ac75-1a19f60eabfb","resolution":{"observed_at":"2026-08-11T23:04:32.560234Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.01274","last_updated":"2023-03-02T13:59:07Z","snapshot_observed_at":"2026-08-10T22:27:11.679391Z","submitted_at":"2023-03-02T13:59:07Z","title":"Measuring axiomatic soundness of counterfactual image models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.01274","snapshot_observed_at":"2026-08-11T23:04:31.636188Z","title":"Monteiro, F","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T23:04:31.636188Z"},"links":{"cited_paper":"/paper/2303.01274","citing_paper":"/paper/2412.02900"},"observation_digest":"sha256:2db19cb9b5b7abe31188c87eb2175b8ebb7a5aebf38524bcb2f494985ab3ea71","observation_id":"f27e184b-1271-42fb-aa99-df3607b33ae1","resolution":{"observed_at":"2026-08-11T23:04:31.636188Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.20287","last_updated":"2025-01-13T13:12:17Z","snapshot_observed_at":"2026-08-07T01:16:51.567280Z","submitted_at":"2024-03-29T16:58:13Z","title":"Benchmarking Counterfactual Image Generation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.20287","snapshot_observed_at":"2026-08-11T23:04:31.642675Z","title":"Melistas, N","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T23:04:31.642675Z"},"links":{"cited_paper":"/paper/2403.20287","citing_paper":"/paper/2412.02900"},"observation_digest":"sha256:5742a2f5a89639f74df8078891b95b5d046b28f541972e21a7c0fec3320ee45c","observation_id":"4f77e066-8a78-451c-90b7-de36eca19503","resolution":{"observed_at":"2026-08-11T23:04:31.642675Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1512.00567","last_updated":"2015-12-11T20:27:50Z","snapshot_observed_at":"2026-08-06T16:02:58.892200Z","submitted_at":"2015-12-02T03:44:38Z","title":"Rethinking the Inception Architecture for Computer Vision","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1512.00567","snapshot_observed_at":"2026-08-11T23:04:31.647837Z","title":"Szegedy, V","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T23:04:31.647837Z"},"links":{"cited_paper":"/paper/1512.00567","citing_paper":"/paper/2412.02900"},"observation_digest":"sha256:8a3b7d84027535ef82af67a56ed838da2ce73f8bb72e87c0ebbd68a06dad72a3","observation_id":"7b52e595-9530-47b9-bd9b-17f7abf4b1d6","resolution":{"observed_at":"2026-08-11T23:04:31.647837Z","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":"2026-08-11T23:04:31.653142Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T23:04:31.653142Z"},"links":{"citing_paper":"/paper/2412.02900"},"observation_digest":"sha256:57495b9b39ac5338f51c50a06b9217ffe2883548374a7278036ea21f337ccf79","observation_id":"335709fd-b912-4281-ae83-289ad1c94f71","resolution":{"observed_at":"2026-08-11T23:04:31.653142Z","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":"2026-08-11T23:04:31.657848Z","title":"Rohlfing, N","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T23:04:31.657848Z"},"links":{"citing_paper":"/paper/2412.02900"},"observation_digest":"sha256:87a9bbeff5f780590f0e839aa05c2271651c5f13c2fdf68aa3277b55e0a28913","observation_id":"cbf3db5a-8b43-40f0-94a5-b1d08e2e613d","resolution":{"observed_at":"2026-08-11T23:04:31.657848Z","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":"2026-08-11T23:04:31.662675Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T23:04:31.662675Z"},"links":{"citing_paper":"/paper/2412.02900"},"observation_digest":"sha256:151558e074e6227e837f32bf41f514e70908432f6b0e8325954b524dbf9e9d48","observation_id":"7a85abad-e23d-471b-9fd6-14b89ba40598","resolution":{"observed_at":"2026-08-11T23:04:31.662675Z","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":"10.1038/s41598-018-38239-2","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:04:31.742085Z","title":"Lotze, M","venue":null,"work_id":"d9ac9fbe-d13b-4b50-8c52-05a9391b02f5","year":2019},"citing_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T23:04:31.667694Z"},"links":{"citing_paper":"/paper/2412.02900"},"observation_digest":"sha256:7aac625583c27d12eaa37c4cece51e29af3839dc4cb55f0038f2e0f980a85687","observation_id":"311b6b70-94a5-41f2-aa66-4964f3984af2","resolution":{"observed_at":"2026-08-11T23:04:31.747084Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/hbm.25680","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:03:20.376878Z","title":null,"venue":"Human Brain Mapping","work_id":"dd58dc67-8699-4457-959a-572d9e1f4414","year":2021},"citing_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T23:04:31.673414Z"},"links":{"citing_paper":"/paper/2412.02900"},"observation_digest":"sha256:9d70d5b5ccd37929d67473dabf5e9d5d53f4ce2612ddd94b2a10204d80127c07","observation_id":"f260f05f-5bb7-440c-9e8d-138af5163e7b","resolution":{"observed_at":"2026-08-11T23:04:31.730688Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T23:04:31.678309Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T23:04:31.678309Z"},"links":{"citing_paper":"/paper/2412.02900"},"observation_digest":"sha256:3b2b961a46d2b833efa9ac5287513cf9723ce052c910483274b3052b079ee851","observation_id":"6e964f70-9ab3-4721-843a-7a6eff51ec74","resolution":{"observed_at":"2026-08-11T23:04:31.678309Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1703.06856","last_updated":"2018-03-08T11:23:13Z","snapshot_observed_at":"2026-08-02T06:05:50.560605Z","submitted_at":"2017-03-20T17:18:57Z","title":"Counterfactual Fairness","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1703.06856","snapshot_observed_at":"2026-08-11T23:04:31.683974Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T23:04:31.683974Z"},"links":{"cited_paper":"/paper/1703.06856","citing_paper":"/paper/2412.02900"},"observation_digest":"sha256:c0aab7898f223de534909ad74b86e59a53e1e8fa5a597dc2aafbfd3c06b226fe","observation_id":"d755abef-2dc6-4af2-8be9-eb0dd5fdc510","resolution":{"observed_at":"2026-08-11T23:04:31.683974Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2009.05199","last_updated":"2021-05-27T06:25:33Z","snapshot_observed_at":"2026-08-09T12:31:34.730063Z","submitted_at":"2020-09-11T02:08:19Z","title":"CounteRGAN: Generating Realistic Counterfactuals with Residual Generative Adversarial Nets","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.05199","snapshot_observed_at":"2026-08-11T23:04:31.689533Z","title":"Nemirovsky, N","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T23:04:31.689533Z"},"links":{"cited_paper":"/paper/2009.05199","citing_paper":"/paper/2412.02900"},"observation_digest":"sha256:ec4c186f84c938201b7856e8bd10900a6272d383a781494419e8aedc1c87fd06","observation_id":"23e3f773-9366-4b04-84f9-911a8bbe6200","resolution":{"observed_at":"2026-08-11T23:04:31.689533Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2412.02900","last_updated":"2024-12-03T23:05:41Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-11T22:56:39.043427Z","submitted_at":"2024-12-03T23:05:41Z","title":"MACAW: A Causal Generative Model for Medical Imaging"},"reference_resolution":{"displayed":32,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":20,"verified_exact":5,"verified_fuzzy":7},"total_outbound_references":32},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 3 inbound Pith citation observations for arXiv:2412.02900."}