{"as_of":"2026-08-04T18:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a747bae5149678292900ff725cc0566263f09a67a632ca20636bf60edabe535d","coverage":[{"denominator":43,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":43,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-18T22:21:54.822901Z","state":"measured"},{"denominator":43,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":43,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2508.14936/citation-record","integrity":"/paper/2508.14936/integrity","json":"/paper/2508.14936/citation-record.json","paper":"/paper/2508.14936"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"HIPAA privacy rule and public health; guidance from CDC and the U.S","venue":null,"work_id":"df0a0895-a94a-401e-86a0-5ce3f128fb5d","year":2003},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:62d0396935a0742f8d08d57d71d3a201c97f7201417b7f0aff564f05323f952b","observation_id":"fa2a4360-3894-4a36-8097-41be5b46526e","resolution":{"observed_at":"2026-05-18T22:22:52.354082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Regulation (EU) 2016/679 of the European Parliament and of the Council","venue":null,"work_id":"fc2cc58b-596d-480d-a58b-be91b0a6379d","year":2016},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:9e19e921f9ea55cacfcb923af9f009ff8ade45b47166b5901fffcb6264f2c08f","observation_id":"58e0062e-8e17-49c7-98ee-b82e7a035f7d","resolution":{"observed_at":"2026-05-18T22:22:52.344255Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Generative deep learning","venue":null,"work_id":"e9c1ce66-7a03-4d06-99cb-e860facc12a3","year":2022},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:07e2bf5749dd636e13bee838db6909f9f4616bfb37db8516952e55cd6263f2e1","observation_id":"488939b2-8f31-4f2b-a869-8735cae35521","resolution":{"observed_at":"2026-05-18T22:22:52.347289Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"f7473855-44c5-4a4b-a2d8-7f82e542a671","year":2025},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:dd6a6dc1220f7005e9bc17c799ae698758035a36069672c3e97b14917f3765d0","observation_id":"8e2ff683-0bfa-4aa6-a71f-a3fa54bdb807","resolution":{"observed_at":"2026-05-18T22:22:52.356998Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"8216b8e6-d64e-428a-902a-0c70a92dc338","year":2025},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:f9697381397de0b2f7f2e3dc6526c62335854934d6e37d1fb1c19ebaae416f3a","observation_id":"1bbe2bcf-9d8e-44c8-8974-88b253d514b1","resolution":{"observed_at":"2026-05-18T22:22:52.370246Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Synthetic data in biomedicine via generative artificial intelligence","venue":null,"work_id":"2111df55-8e55-44fa-9ce5-060b441ddab5","year":2024},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:286b944590772713218c07dcec5b47aa3dc2f36d7707994bdcd176aa1e6da47c","observation_id":"b515ac8a-4df1-4808-8b4f-8b734d4d6e62","resolution":{"observed_at":"2026-05-18T22:22:52.317563Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Synthetic data—what, why and how? Royal Society","venue":null,"work_id":"c66d15ef-c220-49c9-b0cd-282e809ff07f","year":null},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:6d9fe8425e9c3aa892ca1333853536671af152971a66561c4fbf694f91997338","observation_id":"1570b76d-7b78-47c5-b672-d1585dcd047f","resolution":{"observed_at":"2026-05-18T22:22:52.339897Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"968d330b-8a37-419b-9525-a43d7aa66550","year":2025},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:0f81424d2ffafaf2a6cfe9fb66537beef08a95b89bc8132b60564419f2ccd03a","observation_id":"f45d539a-8194-409b-b46c-dac93fed54ab","resolution":{"observed_at":"2026-05-18T22:22:52.317881Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Sys- tematic review of generative adversarial networks (GANs) for medical image classification and segmentation","venue":null,"work_id":"cbba1498-1896-4e4a-9ddb-e597d70cc16f","year":2022},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:9ff29fe5d2ae2e0d33438b33947fec13a2b5b30037c7d534dcdf37bc9da05678","observation_id":"6bb3e197-89cb-4e86-a2e9-24bda2c0373d","resolution":{"observed_at":"2026-05-18T22:22:52.361094Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Diffusion models in medical imaging: a comprehensive survey","venue":null,"work_id":"c6626ccd-bfc8-4211-a488-ae7ef3b555f1","year":2023},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:1928178e777082d1265b6b0a43d9f100fe52f4bc312b89e00f095fb014bf2d21","observation_id":"60498fae-6b1b-44b1-924d-a732728c6899","resolution":{"observed_at":"2026-05-18T22:22:52.342522Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Navigating tabular data synthesis research understanding user needs and tool capabilities","venue":null,"work_id":"39e33750-5147-4a74-aa8e-8dee7364abc8","year":2025},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:aba868ee42770d27ebcfea9549ca1df4723cdc8f30fcaa2d01c697cae9eec444","observation_id":"4e8b1b65-3005-40f6-a2d6-fa24555557a7","resolution":{"observed_at":"2026-05-18T22:22:52.320990Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"An evaluation of synthetic data generators implemented in the python library synthcity","venue":null,"work_id":"46984179-70b5-4d3c-90da-b3c147596f47","year":2024},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:dfb7bda1c1e910849b307376c1da94f6135d77d20d6c4ddc22c463e9346f5764","observation_id":"6b72f910-f1ca-4fae-a9f4-1e75fa15fc28","resolution":{"observed_at":"2026-05-18T22:22:52.274903Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"A note on the evaluation of generative models","venue":null,"work_id":"037b4841-522a-420a-b45d-dfe35a486189","year":2016},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:2476303ad80aa06e89de9974c1561820438d5e8a0afd76e7fc9662ec5145297d","observation_id":"db42bbdb-869e-4096-8ea8-34aa03f2edc1","resolution":{"observed_at":"2026-05-18T22:22:52.287327Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Tabular data generation: can we fool XGBoost? NeurIPS 2022 First Table Representation Workshop","venue":null,"work_id":"4d93ba42-9678-4a2a-9764-e2823a55122e","year":2022},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:8ee3ebedd5a063e42e3197093430ab1cd5828f242613578618a8b6d2ae98746a","observation_id":"3233e69e-11e1-4e76-890e-d14746f7d6f3","resolution":{"observed_at":"2026-05-18T22:22:52.290297Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Synthetic data generation for a longitudinal cohort study—evaluation, method extension and reproduction of published data analysis results","venue":null,"work_id":"e3d21a65-240a-4e5b-9113-007644319a7c","year":2024},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:26f3bee8053c849f18021f407aabe1d77223da142f108207f6e3900a3cd1717c","observation_id":"d9d22047-d95a-42c8-8c09-ccb3764920a1","resolution":{"observed_at":"2026-05-18T22:22:52.309356Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"An evaluation of the replicability of analyses using synthetic health data","venue":null,"work_id":"5913a2ca-0d40-4578-b887-b24b5850fbc2","year":2024},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:3c04de3f39095f0ed8b71078d2f891ab508d586f8f890b11f29fb1b67c35ee54","observation_id":"1bece553-7ef1-4f48-94fc-9e3f666705aa","resolution":{"observed_at":"2026-05-18T22:22:52.351593Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Adversarial random forests for density estimation and generative modeling","venue":null,"work_id":"0e5f9396-5881-452f-adac-cbee60b035f4","year":2023},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:b634cabca835561ad1566c62bd37d4e66c1fc81ab9672c883222e7a68dc0342c","observation_id":"d1c31071-049d-4e5a-b914-99ee22c58511","resolution":{"observed_at":"2026-05-18T22:22:52.378933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Wright, David S","venue":null,"work_id":"df99c436-f4e8-47f0-901b-e5dd572b95b9","year":null},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:47ae244bcb36c126e5bde7d87aafe1a5f1ec65a9d389d029b74e9f5ee9da55f3","observation_id":"0c0558a2-7a6e-491d-92b4-75af65002fdd","resolution":{"observed_at":"2026-05-18T22:22:52.332405Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"39f59c48-660c-4fcf-9c6f-27a1a8d5c563","year":2025},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:89809b0f77c7718eb075d92ac5e3e7ae13e17c502cea3f0b08c302687b9006b1","observation_id":"806e43fb-c9ce-425a-81ee-73c10d20f233","resolution":{"observed_at":"2026-05-18T22:22:52.329696Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Synthcity: a benchmark framework for diverse use cases of tabular synthetic data","venue":null,"work_id":"47bb054c-e7c1-4835-b55b-2594772185ca","year":2023},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:6e12dab5331eff3f5ff980fe18d0b0525bd35bf962fb3682f4c221b4364510d5","observation_id":"63c444dd-f121-4e0c-9081-789ac1f1e707","resolution":{"observed_at":"2026-05-18T22:22:52.335157Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"dada7de5-c25d-442e-84ae-d9c46acb537f","year":2020},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:335aae557c100c64c8a262940c8183d8a286956724abb6a684d1e17fd8330da7","observation_id":"198f5ee6-5eac-4afa-bf4a-f179404bc452","resolution":{"observed_at":"2026-05-18T22:22:52.348560Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Anthropometrische Messungen in der NAKO Gesundheitsstudie—mehr als nur Gr ¨oße und Gewicht [Anthropometric measures in the German Na- tional Cohort—more than weight and height]","venue":null,"work_id":"9ada2cd8-bbf1-46a3-bb8b-cf600292d4f8","year":2020},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:24189f10c923ee563ec2ec2dcfba2a6916250b6f8facc5d297924bd8ac23f410","observation_id":"75767896-4d36-4846-b7c0-d7252488ba21","resolution":{"observed_at":"2026-05-18T22:22:52.306417Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Lifestyle and metabolic risk factors in patients with early-onset myocardial infarction: a case-control study","venue":null,"work_id":"3af43b66-8d47-4dd3-a118-7747e87496dd","year":2076},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:ce4090241626f667d70b701a92411bdc0a3e55c2c83b23880f941f901eaf5900","observation_id":"cfc9cb54-f27c-4dac-8623-a4ae24407a22","resolution":{"observed_at":"2026-05-18T22:22:52.328680Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"ActiGraph cutpoints impact physical activity and sedentary behavior outcomes in young children","venue":null,"work_id":"5ea1f21f-e7ea-4e36-ac5a-96341816d4a2","year":2022},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:c50fc425a3da06b0b5c363ce1f67d752cfd5de83d58d03eb7a9f3ad5e23d8373","observation_id":"327cac9b-95c9-4893-b5e5-6723b472c6aa","resolution":{"observed_at":"2026-05-18T22:22:52.323079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"a7f50683-067a-4049-a295-d94ff7c971ab","year":2021},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:728e2caa28f43808270541cd380d6f33d412bbc7536bce460734ec8ac9a48a84","observation_id":"e2aed3f5-17ea-40c9-a57b-f6a7cbde7a67","resolution":{"observed_at":"2026-05-18T22:22:52.303643Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Birth order, caesarean section, or daycare attendance in relation to child-and adult-onset type 1 diabetes: results from the German National Cohort","venue":null,"work_id":"975c6123-af0d-4a59-b26a-3f5d3b9e5a7d","year":2022},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:61343b1d27ee30d44ea672f629e0059332213d29ab958712c79eed6b66964803","observation_id":"2321d80f-6186-48e1-87df-da2384c27879","resolution":{"observed_at":"2026-05-18T22:22:52.364313Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Framework and baseline examination of the German National Cohort (NAKO)","venue":null,"work_id":"1d73c952-305c-41f2-8122-772b393fdb3a","year":2022},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:d188b1e768a69b288d83bbce4b6e986dc86945c3b40de332aa27605c750285a9","observation_id":"c956de69-864d-4302-a8f1-9968e288cee5","resolution":{"observed_at":"2026-05-18T22:22:52.301343Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Guelph Family Health Study: pilot study of a home- based obesity prevention intervention","venue":null,"work_id":"7578e48a-f2f5-48ff-a123-f61c06accc18","year":2018},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:0b2c3874355bd8096d5b7d8b37ef749d70dc908ff600d3d2da898ce09e119c16","observation_id":"2f64936f-9da2-4cf1-b932-2b0fb01dabfb","resolution":{"observed_at":"2026-05-18T22:22:52.373072Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Deep neural networks and tabular data: a survey","venue":null,"work_id":"ecf519c8-73ee-441e-9469-efa55c176811","year":2022},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:50dc15c057a85c590406595682ef7fb773668d734e1ac938dae671244bec3244","observation_id":"e81c00c5-46b5-463f-bc24-1cd0a491e75a","resolution":{"observed_at":"2026-05-18T22:22:52.367106Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Generating synthetic data is complicated: know your data and know your generator","venue":null,"work_id":"578d5a58-c4b5-4129-a9ad-74412dcb28c0","year":2024},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:762958c254523dc7566d5500b906deec40552ac55c32fb255dfa688fdd54d925","observation_id":"237bf35d-bade-42c3-bcb1-3133fbc9c772","resolution":{"observed_at":"2026-05-18T22:22:52.345400Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Ross Quinlan","venue":null,"work_id":"f4e71e12-ef50-484d-b0a1-efa52a8b4e4f","year":1986},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:b821cfb8df5154fe4d7a01a54f126a53288a7ddc1ff935b15385d69cca9daa94","observation_id":"ef3d02ec-13d7-40b5-8e94-19af0f588315","resolution":{"observed_at":"2026-05-18T22:22:52.311223Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Why do tree-based models still outperform deep learning on typical tabular data? Adv Neural Inf Process Syst, 35:507–520","venue":null,"work_id":"ee895cdd-58ee-476f-be01-7d11cc7c691e","year":2022},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:1c67cea1df96c0aad7763a85ec316f8b0183d3dc9a2cec18aa93e987aca2658b","observation_id":"d44b1e7b-5ca6-48be-be61-ce6c4cd784a0","resolution":{"observed_at":"2026-05-18T22:22:52.336533Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"An empirical evaluation of easily implemented, nonparametric methods for generating synthetic datasets","venue":null,"work_id":"020cebc1-5b69-4555-978d-886d90b8052a","year":2011},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:daf2d97e4a626252e4ecb2badc2fe5bfd1666d29b33294954b025db6fb5757a7","observation_id":"10804af7-664c-4fe9-817a-e28d53f70f07","resolution":{"observed_at":"2026-05-18T22:22:52.331245Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Random forests","venue":null,"work_id":"4fe30398-6491-40c9-b6c2-89d7100c0f65","year":2001},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:c6648b07797ca37bcf47195399ec56dca896d3f64149b360efd134db11c8653a","observation_id":"5d5c5bce-ab0c-4b62-b4d6-f775c3eb12e6","resolution":{"observed_at":"2026-05-18T22:22:52.311752Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Mixture of distributions","venue":null,"work_id":"f0be0a3a-7385-4788-b100-4e877186fb11","year":1948},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:1d880cc50dd331da00835c204b2070444336e62f66cd9b5269883d3e6c4a4ab9","observation_id":"a1577f8a-ab84-411b-aa2f-df7987d5faf7","resolution":{"observed_at":"2026-05-18T22:22:52.292713Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"An introduction to the bootstrap","venue":null,"work_id":"8ff2ff07-caf0-4151-973d-bbf970b0bfa1","year":1994},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:11554b9283ab93920424dbdafeafe388ec85dfc3823bb6ede0753b2812b9ca3d","observation_id":"76248da4-3b2e-4f87-9856-6ceb6f0ff266","resolution":{"observed_at":"2026-05-18T22:22:52.295461Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"The PHQ-9: validity of a brief depression severity measure","venue":null,"work_id":"10854364-de10-4b28-9899-662012c7eb4c","year":2001},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:f5a22f40d7449e4129523c6f6d0f691feb365213633c001d6fba7ab7c066ed37","observation_id":"ebf46c54-64a9-448b-bba3-049b854b794f","resolution":{"observed_at":"2026-05-18T22:22:52.357280Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"A brief measure for assessing generalized anxiety disorder: the GAD-7","venue":null,"work_id":"be45ab1b-04c7-4eb1-a113-527107ca3f9d","year":2006},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:7f376157e6406497b0a4d4ede0f46520e50a087b72933c9dcdaadf541c4d890c","observation_id":"60173424-046f-49ab-b30f-4a608a80ec9f","resolution":{"observed_at":"2026-05-18T22:22:52.326056Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Fairness without imputation: a decision tree approach for fair prediction with missing values","venue":null,"work_id":"e6913e74-6e71-4b3d-8d3a-9287c8a79d61","year":2022},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:4ae89ec23e32dc518fb192efabaee7cc3b00953796e5dbdccb86be552de7f13d","observation_id":"bcee16fa-da12-4465-8070-8beb095f293c","resolution":{"observed_at":"2026-05-18T22:22:52.314928Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.15681","last_updated":"2025-07-21T14:44:51Z","snapshot_observed_at":"2026-07-06T22:00:28.955116Z","submitted_at":"2025-07-21T14:44:51Z","title":"Missing value imputation with adversarial random forests -- MissARF","version":1},"cited_work":{"arxiv_id":"2507.15681","doi":"10.48550/arxiv.2507.15681","metadata_source":"arxiv_reference","pith_arxiv_id":"2507.15681","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"Missing value imputation with adversarial random forests—MissARF","venue":null,"work_id":"efe64b96-4116-4ed9-bd79-8e8359234863","year":2025},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"cited_paper":"/paper/2507.15681","citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:c0cde7ae1618850c3c1d8a3dcd08d15497dee95ccef170e7a1b03f69b3fb5a51","observation_id":"76b5236e-dbac-4358-ac88-a978da1aa266","resolution":{"observed_at":"2026-05-18T22:22:51.631224Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Countarfactuals—generating plausible model-agnostic counterfactual explanations with adversarial ran- dom forests","venue":null,"work_id":"67134073-129b-4165-85e6-b3694a965860","year":2024},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:2c72e9d8ffe1c67802f8cfb6a01ed65fa2441e7abe9869a33163dd9da40dd14d","observation_id":"b6f4c7d1-96f7-4845-9440-6ed1891ea6e5","resolution":{"observed_at":"2026-05-18T22:22:52.376151Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"ML-Doctor: holistic risk assessment of inference attacks against machine learning models","venue":null,"work_id":"3ceb5bc8-ec50-4321-875a-4a777380284b","year":2022},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:fc332d43ce131085100ec47d55db014a9a55f7a35f09dbc28a97e13f3a8fb312","observation_id":"cecdb822-9a54-4e0b-8170-2a37302a70ea","resolution":{"observed_at":"2026-05-18T22:22:52.353896Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"219e3551-36ab-4d58-84ab-a7d3d38150bf","year":2020},"citing_paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests","version":3},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-18T22:21:54.822901Z"},"links":{"citing_paper":"/paper/2508.14936"},"observation_digest":"sha256:6f106760691bb6078652038f6672e61fc565f7a4baf1f91dfd09846a33a177d7","observation_id":"a9389aad-1d28-4826-b735-525834dfb558","resolution":{"observed_at":"2026-05-18T22:22:52.338010Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.14936","last_updated":"2026-05-05T06:01:43Z","latest_version":3,"primary_category":"q-bio.QM","snapshot_observed_at":"2026-07-06T22:15:45.851720Z","submitted_at":"2025-08-19T22:51:40Z","title":"Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests"},"reference_resolution":{"displayed":43,"state_counts":{"malformed_identifier":2,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":1,"verified_fuzzy":34},"total_outbound_references":43},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2508.14936."}