{"as_of":"2026-08-07T18:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7641b71fd2f1a4b54e66361da5216b4a7f21c98cc6e80d46ec8dabdcbd92cd73","coverage":[{"denominator":79,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":79,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T06:06:21.038207Z","state":"measured"},{"denominator":79,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":79,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2506.06108/citation-record","integrity":"/paper/2506.06108/integrity","json":"/paper/2506.06108/citation-record.json","paper":"/paper/2506.06108"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:29.022117Z","title":"Abadi, A","venue":null,"work_id":"44c81392-4d05-4ef2-97dc-c17933d9b2ba","year":2016},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.794832Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:c5c58f7beca7c5c4d86fa34c01829df8bb31b4dda95f290eeb7d67e7c4e3eea8","observation_id":"a5fb9563-f69a-4fba-9eac-cd48fa9bdc37","resolution":{"observed_at":"2026-08-07T06:06:29.107331Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"cond-mat/0106096","last_updated":"2001-06-06T15:57:02Z","snapshot_observed_at":"2026-08-03T09:59:43.540699Z","submitted_at":"2001-06-06T15:57:02Z","title":"Statistical mechanics of complex networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"cond-mat/0106096","snapshot_observed_at":"2026-08-07T06:06:20.798558Z","title":"Albert and A","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.798558Z"},"links":{"cited_paper":"/paper/cond-mat/0106096","citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:5ef582b36eb450048508385ef47a6c62e721d27531459cb9f235e680ee2bd544","observation_id":"40819470-6a4f-44e0-bfd7-dd1eda0f508f","resolution":{"observed_at":"2026-08-07T06:06:20.798558Z","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":"2026-08-07T06:06:28.933673Z","title":"what do you want from theory alone?","venue":null,"work_id":"869733bf-f737-46e7-8af8-23e44b623ba4","year":2024},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.801984Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:13ebbf8c5a2c8cdc88f1dfe80f507a887d5bd21667b38433c74da0e3a280dc15","observation_id":"bc11157b-a53e-4776-9b2c-6b168d790f35","resolution":{"observed_at":"2026-08-07T06:06:28.973432Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:28.820395Z","title":"Aydöre, W","venue":null,"work_id":"3c6af5d3-8ba9-45ac-856f-ea0c45147f9c","year":2021},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.805402Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:4b14f801bf8c1572dbbd6feca732a20e19807a7aee889f5b81a0bf764479500a","observation_id":"6b19d5b0-8e47-4bf5-80de-d727beeee52b","resolution":{"observed_at":"2026-08-07T06:06:28.886040Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:28.707566Z","title":null,"venue":null,"work_id":"489a8881-5d93-4925-8c20-0f82802caf6c","year":2022},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.808834Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:cb7b3537c46ad894b869d6a7de2bf8e9e283b43f5e1ecaca9a2308719850cf55","observation_id":"8c747839-9d00-4b39-939c-4a436bfa5e7c","resolution":{"observed_at":"2026-08-07T06:06:28.773276Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:28.568446Z","title":null,"venue":null,"work_id":"96a900d7-6696-4985-a6c7-55980492f4e5","year":2025},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.812238Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:e973c6e902974bf64efad21248ae813511bb2d03041cf04ea4c77be6a040ce22","observation_id":"686a312d-bf23-41ca-8cc6-cc6f618b2d07","resolution":{"observed_at":"2026-08-07T06:06:28.656938Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.06280","last_updated":"2023-04-22T10:03:23Z","snapshot_observed_at":"2026-08-04T17:31:19.505383Z","submitted_at":"2022-10-12T15:03:28Z","title":"Language Models are Realistic Tabular Data Generators","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.06280","snapshot_observed_at":"2026-08-07T06:06:20.817056Z","title":"Borisov, K","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.817056Z"},"links":{"cited_paper":"/paper/2210.06280","citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:bcee348215c0da78bee43a47eba316a1db51bdce96db95ffeed03a56e42b6fdc","observation_id":"cdb2f15d-e0d9-4589-a18b-5728699c9709","resolution":{"observed_at":"2026-08-07T06:06:20.817056Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1106.1813","last_updated":"2011-06-09T13:53:42Z","snapshot_observed_at":"2026-08-02T09:14:51.557501Z","submitted_at":"2011-06-09T13:53:42Z","title":"SMOTE: Synthetic Minority Over-sampling Technique","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1106.1813","snapshot_observed_at":"2026-08-07T06:06:20.820633Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.820633Z"},"links":{"cited_paper":"/paper/1106.1813","citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:1f0d85698121c0861de8541f0a5db3d49c3ea34ed8fff97735a1c6a4a7a7b003","observation_id":"d7f262db-1a1d-48cb-a02b-994ee835b6d2","resolution":{"observed_at":"2026-08-07T06:06:20.820633Z","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":"2026-08-07T06:06:28.435452Z","title":"Bun and T","venue":null,"work_id":"ae107f3f-d53a-48ff-9c5f-f0130636076b","year":2016},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.824737Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:544f26ed306ab6c17658a4953b3ba9b4d2aa7ecf97cace70b1e5b9fe6b3c0119","observation_id":"f50f2814-238c-4ce0-bd6e-6286fb671a07","resolution":{"observed_at":"2026-08-07T06:06:28.479907Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:28.297985Z","title":null,"venue":null,"work_id":"c24dc44e-87f6-4d0c-9da3-99a7ba0ed6f2","year":2021},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.828479Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:92801effb2f3d754e488d0ef7c284443652431bc88960e1a084ab3fd120eac02","observation_id":"145cdfa3-6ec4-4376-a4b9-8b03becfba78","resolution":{"observed_at":"2026-08-07T06:06:28.387380Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:28.124326Z","title":null,"venue":null,"work_id":"7643580e-6834-4bb5-a415-0eecaa868031","year":2023},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.831626Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:223a95f9774c853a28f722fb07b92f7b6190c0bc6f71509e705c79cee321a604","observation_id":"452cece5-22d2-404b-b62e-b6203f54d3b5","resolution":{"observed_at":"2026-08-07T06:06:28.202592Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:27.959211Z","title":"Carlini, S","venue":null,"work_id":"028207e3-0364-4787-a229-b774a67190b1","year":2022},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.835251Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:dfc28ff7b1e43e76d3ea9a4d5a06e0aa16797402bd87a708036bd519da357e83","observation_id":"d2f5782a-36d6-4417-b40b-b202c1a77bae","resolution":{"observed_at":"2026-08-07T06:06:28.047895Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2504.14061","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:21.370295Z","title":null,"venue":null,"work_id":"abdf9455-8bd6-4b10-b325-d38f0b8bf390","year":2025},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.838671Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:3202006098298af1d7259b3f08641712c1bb949fbdfa1ba72c63eaf67272a8cf","observation_id":"997a2150-24fd-4da3-badd-7bdfa4872485","resolution":{"observed_at":"2026-08-07T06:06:21.380316Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:27.781431Z","title":"Chow and C","venue":null,"work_id":"4de40bbb-3221-4e72-9dea-9e40e103e619","year":1968},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.841860Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:fbd25f1539ae141ecf844ac38613ffc0e400ff693e7c21722579a7997c1a4171","observation_id":"4897141d-8ddc-4543-8577-574db2959f42","resolution":{"observed_at":"2026-08-07T06:06:27.863502Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:27.665242Z","title":"Clifton and T","venue":null,"work_id":"9aa161eb-b12b-4559-8a20-caa84524d69e","year":2013},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.845127Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:866af878a27b343c274649705c4cafce9ce8ecdd5c98326c26ee3436f16ba2c7","observation_id":"be995b48-073b-47d9-bc41-083b5392cc57","resolution":{"observed_at":"2026-08-07T06:06:27.709158Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:27.499272Z","title":"Dalenius and S","venue":null,"work_id":"83565720-0f0e-4457-91eb-9dfda160ab37","year":1982},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.848127Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:378afa2d28b009e07b180f80aeb9161aba2de89741314fa88fd3ed1e1fd1dd41","observation_id":"13da1000-b2e5-481a-9bc5-e18efa713176","resolution":{"observed_at":"2026-08-07T06:06:27.575017Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:27.342511Z","title":"Dhariwal and A","venue":null,"work_id":"9e9f081e-d5b8-4f9f-bc8e-2180fc3636f2","year":2021},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.851451Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:4eabfd0db14407f4a4ac3e9c22b25ebfabf6b7621e729c770f3853d702bff2d2","observation_id":"74fa17f9-9e6a-41cb-832e-3903b1a4f6d0","resolution":{"observed_at":"2026-08-07T06:06:27.430115Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:27.153835Z","title":"Dwork and A","venue":null,"work_id":"4f25452b-205b-4b9c-b9e3-4b114648d4b9","year":2014},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.854416Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:73162c7b1db27b08b87bb27c22ba70f9ef7438aa5a4e1d53d5ca5dbfdbb8e64a","observation_id":"e225ee20-84d8-4960-8da2-1e3ae41d3885","resolution":{"observed_at":"2026-08-07T06:06:27.247520Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:26.950766Z","title":null,"venue":null,"work_id":"b8afbb88-5701-4059-8df4-2022b512a4fc","year":2022},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.857596Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:e823cebaf2930c35aacbc0205d7b516ba8bae25ac5dcdb37a808df7dcf38b907","observation_id":"f3832b78-9c1f-42ba-92aa-d5a9ed8f6344","resolution":{"observed_at":"2026-08-07T06:06:27.029411Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:26.765092Z","title":null,"venue":null,"work_id":"eb876505-1ae0-4fec-9674-ae38ef0391c1","year":2004},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.861082Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:95008ffa7bfc28abbb273c5404dad45b20c32685637fd738364d3a49e34cd8cd","observation_id":"23b81769-c316-4c58-8ba6-9fd2453e0a38","resolution":{"observed_at":"2026-08-07T06:06:26.849337Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:26.556711Z","title":"Fuentes, B","venue":null,"work_id":"cf229132-a76a-4e8e-b8a3-b42033029330","year":2024},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.864067Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:9a290dc3709c4db59fe50146535c82793898bff9f93d5e0e79c5b53cea8b4fbe","observation_id":"cfb1f76b-d9ef-4e64-b5b9-71a50452931e","resolution":{"observed_at":"2026-08-07T06:06:26.674518Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:26.351382Z","title":"Ganev, K","venue":null,"work_id":"8a8aaa91-fa0b-42c9-b589-a8c39bd2cdca","year":2024},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.867110Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:61ff36a183fab81a4e00dd4bb7dc04a1a4df1f580a7203eea8a6e5f9cdb28067","observation_id":"3d603d63-934b-4eda-83f0-185f039c4e24","resolution":{"observed_at":"2026-08-07T06:06:26.435707Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:26.170719Z","title":null,"venue":null,"work_id":"4af64c2b-3ca8-40c1-a911-992f9c13cb57","year":2024},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.870079Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:8ab7d24bd1c65e3a07a5a6f3004d9eae6305189e3870f7ef875865812a42c7c1","observation_id":"aefbc387-58c8-42a0-8cb4-14474c3fb875","resolution":{"observed_at":"2026-08-07T06:06:26.256520Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:26.006396Z","title":null,"venue":null,"work_id":"b9d4583e-5322-4f6d-8d85-49816ee5826a","year":2014},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.873158Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:768606059ac6d178dadf8c3d6866cf0d788a9bd98006e03e58a5f81781f789b3","observation_id":"8b3a8f6e-bce3-4768-b00e-0b993f794a90","resolution":{"observed_at":"2026-08-07T06:06:26.082326Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:25.846486Z","title":"Gretal.AI SDK, 2020","venue":null,"work_id":"a9ea7158-d958-4dc0-9f79-29cc6d0a3fb9","year":2020},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.876326Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:deafa6cbb3e42680c2c427b2c681a9a197ecb3a994bfff5c830a6a3cbefee769","observation_id":"3d3838d9-48e6-4b94-b00f-8bebe887a770","resolution":{"observed_at":"2026-08-07T06:06:25.932945Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:25.671644Z","title":"Harder, K","venue":null,"work_id":"fbbed3a1-c037-4ab4-bbce-04db1b33b056","year":2021},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.879396Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:68a1a84cda3f6a097af0b89650e104ac6b7bb8eb886117eebfad8baa8b8f7c91","observation_id":"a539ceea-2233-409a-a826-eae88f632fa2","resolution":{"observed_at":"2026-08-07T06:06:25.751865Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:25.529430Z","title":"Hardt, K","venue":null,"work_id":"1c6ade2d-e548-4f88-aa4b-159dd7efd9dc","year":2012},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.882423Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:ef9c2463c1fbedb611b9b20f23e2c2dc2cf9d3d7f9db2bfe6b5d624fe494e1ec","observation_id":"52edc744-8ff5-493c-8c6d-93eff0b57d1f","resolution":{"observed_at":"2026-08-07T06:06:25.596611Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:25.393606Z","title":"Hardt and G","venue":null,"work_id":"7ae52078-cdfc-4561-bb1e-c32570348a0b","year":2010},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.885605Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:51132ccbafea207ed623ea941b740bc0ab0e725041a471d6e01cf444ac2137fc","observation_id":"7ea8ec63-d47b-46de-88c7-f5c0b8cd5226","resolution":{"observed_at":"2026-08-07T06:06:25.455778Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1705.07663","last_updated":"2018-08-21T13:24:17Z","snapshot_observed_at":"2026-08-05T09:53:41.639197Z","submitted_at":"2017-05-22T11:05:06Z","title":"LOGAN: Membership Inference Attacks Against Generative Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1705.07663","snapshot_observed_at":"2026-08-07T06:06:20.888546Z","title":"Hayes, L","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.888546Z"},"links":{"cited_paper":"/paper/1705.07663","citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:4db505a037d6297d3e1a3a1c264115306316bdf1ce0a33044ce7356235beb5e4","observation_id":"fb89ffb8-aaa8-4514-8484-bd26aaead4da","resolution":{"observed_at":"2026-08-07T06:06:20.888546Z","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":"2026-08-07T06:06:25.265605Z","title":"Hilprecht, M","venue":null,"work_id":"08311946-b921-4ae6-b12a-4140e12b28ea","year":2019},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.891789Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:c7c9b47e0fccabb67611d180996c7e9cb475d82bae76c154197b233e54a431be","observation_id":"99a011b8-9a1a-48ed-a316-0bebe04de7f5","resolution":{"observed_at":"2026-08-07T06:06:25.326092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:25.151748Z","title":null,"venue":null,"work_id":"a0398477-7602-4b34-b26f-c909c38458bc","year":2020},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.894795Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:997451aa8d612b142778455037acbbe32932d701e2a457f221660d079260cb64","observation_id":"092d5e7c-ab47-474e-8383-9932b2bd8665","resolution":{"observed_at":"2026-08-07T06:06:25.223211Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.00267","last_updated":"2025-02-25T20:31:22Z","snapshot_observed_at":"2026-08-05T17:00:32.828234Z","submitted_at":"2024-05-01T01:20:25Z","title":"Differentially Private Release of Israel's National Registry of Live Births","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.00267","snapshot_observed_at":"2026-08-07T06:06:20.897539Z","title":"Hod and R","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.897539Z"},"links":{"cited_paper":"/paper/2405.00267","citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:c2ef6a15b5fdc4d52ad693ef3dc2cc2f75d2c59d66670182c4d12b0b3196890c","observation_id":"7b91a0b3-f1e9-458d-a9ee-3355b37288a8","resolution":{"observed_at":"2026-08-07T06:06:20.897539Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.06550","last_updated":"2022-11-12T02:26:54Z","snapshot_observed_at":"2026-07-06T14:17:23.153337Z","submitted_at":"2022-11-12T02:26:54Z","title":"TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.06550","snapshot_observed_at":"2026-08-07T06:06:20.900778Z","title":"Houssiau, J","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.900778Z"},"links":{"cited_paper":"/paper/2211.06550","citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:97f97411b2f11df3ceeea4b1ce0e45557cdd1832e3b6a5dcd28ae6911184fc34","observation_id":"7bee1e78-a766-48fa-a485-0b4413e8895f","resolution":{"observed_at":"2026-08-07T06:06:20.900778Z","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":"2026-08-07T06:06:24.991392Z","title":"Jordon, J","venue":null,"work_id":"a3a11e63-9274-4958-ae5f-e7fdbc427e3f","year":2018},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.903979Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:04fa177c624f0a73da9578f506d28887626dcd777aa6636c0477297ed79d8b49","observation_id":"30abdd36-acb5-4fcd-93c1-e7fed5b08062","resolution":{"observed_at":"2026-08-07T06:06:25.064745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:24.842264Z","title":"Kairouz, H","venue":null,"work_id":"7d8a4ff6-fa75-4740-ad09-afdc5070b09d","year":2021},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.906997Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:45c5f7111f9c916ea20fea873c404727d25c45a2300d7ec48cf4a89f65e7e091","observation_id":"2b57f659-7801-4a40-bb69-afe85d6c919f","resolution":{"observed_at":"2026-08-07T06:06:24.914985Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:24.683209Z","title":"Kairouz, S","venue":null,"work_id":"ecfd362f-445a-462e-8d22-df977fc0d281","year":2015},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.910112Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:b5aba14b2c8db491edc17ea948065effd6d43905a40d8c13ae3b47ffa85b38c9","observation_id":"38907e1d-09f3-474a-b480-b2ca6d4b7b79","resolution":{"observed_at":"2026-08-07T06:06:24.752403Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:24.550343Z","title":null,"venue":null,"work_id":"c6f6a02d-fc35-4cf6-81c8-4ae75a3b94a6","year":2011},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.913120Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:67df98df3ca3c1d06b01a09ebfc01d2b7a23bf137569764cb543a74e0b1d54da","observation_id":"deb19d51-8001-4b49-b29a-98e5c1f229ba","resolution":{"observed_at":"2026-08-07T06:06:24.619508Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:24.399320Z","title":"Koller and N","venue":null,"work_id":"ba4203e6-46e6-4cd9-a98f-cdd06c287abf","year":2009},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.915911Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:b9930242fdaa0f702227aedfc64ab07a90b6e6699220414ccd23a93dbb2b2f81","observation_id":"1548b37a-ca3c-40a5-b76f-4e5f54edc83f","resolution":{"observed_at":"2026-08-07T06:06:24.470392Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:24.234962Z","title":null,"venue":null,"work_id":"2c3b44aa-9001-4079-accf-741b56c7e266","year":2021},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.918706Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:2449240d58da21d4694fb2b8e760dbc89d0059a945c63125378403b238d4ff88","observation_id":"9163dcd7-a825-4ed4-a8c9-40d81094eebb","resolution":{"observed_at":"2026-08-07T06:06:24.312287Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:24.079059Z","title":"Kotelnikov, D","venue":null,"work_id":"876ce439-6588-4e73-8473-1cbba4040bfe","year":2023},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.921774Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:f598361b2b51ac54064803d5a01205913a959180fcc8824c978482658570850c","observation_id":"9540018c-c384-4009-9a13-2a9e0032cfca","resolution":{"observed_at":"2026-08-07T06:06:24.149802Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:23.895915Z","title":null,"venue":null,"work_id":"4e1c3003-06b3-4231-920f-49ae70dba0d9","year":2025},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.924787Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:d931a9152cf563ef58b814a646e269373a9c3bc622bd9b129ac1fc00bb83f877","observation_id":"9308730d-ac8d-40a4-af86-b2205dadf340","resolution":{"observed_at":"2026-08-07T06:06:23.964817Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:23.749049Z","title":null,"venue":null,"work_id":"7820a71b-1a1e-437b-a6dd-9b863eab7369","year":2023},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.927545Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:15c19d2f7f9a9283659a3b5e0cbc486171142e50073fd0e752d82660ca04899f","observation_id":"e6f1cf9e-8548-4762-a90c-43f43d4ba429","resolution":{"observed_at":"2026-08-07T06:06:23.820110Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:23.659074Z","title":null,"venue":null,"work_id":"55021820-70de-42fd-b2a5-eb8b29381909","year":2021},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.930423Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:6059c680b88a04787a9287c04b7d4c7dd3d9ebd33557c3b741bb5057e55a9bf9","observation_id":"524766a2-701e-438d-88ba-c61efbe92f7f","resolution":{"observed_at":"2026-08-07T06:06:23.703392Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:23.496587Z","title":null,"venue":null,"work_id":"a360a6cd-883f-4be9-8ede-547cdf805d78","year":2021},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.933597Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:8f183a6886826d6ba1bc62095cf81c9193b3fccb19ed2bdfd60304517ed155a8","observation_id":"6df6cfff-3491-40b7-bfd6-b2c76e021312","resolution":{"observed_at":"2026-08-07T06:06:23.607444Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:23.411756Z","title":"Liu, C.-H","venue":null,"work_id":"cfabf498-3195-4432-88a0-5c6ab6c19fdd","year":2022},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.936630Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:01fa29bb35639d1b04cf9e4b05268d84e3776903dd9bfca66063a19239cf2914","observation_id":"0f296896-5ec6-4333-afe1-fb5c270b1157","resolution":{"observed_at":"2026-08-07T06:06:23.452999Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:23.273871Z","title":"Maddock, G","venue":null,"work_id":"18644a49-73cd-43e0-92ee-479a9c609235","year":2024},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.939463Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:6844ed0498115c1a014bcce7a20446225eee38ec88f451b1efcc165eefee2c33","observation_id":"760abd31-b5f7-4ee5-97ea-8ad0e86d9d2e","resolution":{"observed_at":"2026-08-07T06:06:23.326897Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.10987","last_updated":"2025-04-15T08:59:03Z","snapshot_observed_at":"2026-08-07T16:05:36.393016Z","submitted_at":"2025-04-15T08:59:03Z","title":"Leveraging Vertical Public-Private Split for Improved Synthetic Data Generation","version":1},"cited_work":{"arxiv_id":"2504.10987","doi":null,"metadata_source":"pith","pith_arxiv_id":"2504.10987","snapshot_observed_at":"2026-08-07T06:06:21.190318Z","title":"Leveraging Vertical Public-Private Split for Improved Synthetic Data Generation","venue":"cs.LG","work_id":"915a851b-c4bc-4b7d-9ede-16cafb84f1cb","year":2025},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.942166Z"},"links":{"cited_paper":"/paper/2504.10987","citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:125df2982cfcbdd9532464dd1e79544fa115f6ce2831c750cf46bcc60ca61f82","observation_id":"8bf51d37-c861-4ba4-959c-d96f3b8098de","resolution":{"observed_at":"2026-08-07T06:06:21.193964Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:23.107239Z","title":"McKenna, G","venue":null,"work_id":"79d83baa-fe45-4bfb-9ed6-db71408211cf","year":2021},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.945218Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:bfed1166a9310f594fd05c6072288276a3cd00f4b5d37459cbb4ef2c2bb811f1","observation_id":"be019a05-2b10-4db0-88af-527309da60bf","resolution":{"observed_at":"2026-08-07T06:06:23.191506Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.04978","last_updated":"2021-08-11T00:49:48Z","snapshot_observed_at":"2026-08-06T23:27:16.511282Z","submitted_at":"2021-08-11T00:49:48Z","title":"Winning the NIST Contest: A scalable and general approach to differentially private synthetic data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.04978","snapshot_observed_at":"2026-08-07T06:06:20.948140Z","title":"McKenna, G","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.948140Z"},"links":{"cited_paper":"/paper/2108.04978","citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:2dc9ff5ee3ddce3e546072f1bd84baa65459d6264b1c5c41e2854c3c84f031cc","observation_id":"6d8ce2af-e2e7-4cf2-9af3-ca5af42d90a2","resolution":{"observed_at":"2026-08-07T06:06:20.948140Z","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":"2026-08-07T06:06:22.955839Z","title":"McKenna, B","venue":null,"work_id":"cc8c4791-9391-462c-8330-8511ded5a8be","year":2022},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.951330Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:6dedd8882db987615a56715a08c464b6720afd6e8d678fa77f80feeafa204a9f","observation_id":"a1a00a61-d2fb-46de-a68b-4a591408d2bc","resolution":{"observed_at":"2026-08-07T06:06:23.021203Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:22.779394Z","title":"McKenna, D","venue":null,"work_id":"ca69fa62-6b62-46c3-bb81-191e8dfa1c55","year":2019},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.954059Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:38334ab0e1470b49350b6be57b106916a9e5f2d0a96df0da9a582333e6717ddc","observation_id":"56f02236-a178-4204-ac33-e967b05341db","resolution":{"observed_at":"2026-08-07T06:06:22.817806Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:22.669413Z","title":null,"venue":null,"work_id":"fa993e1f-ea6d-4185-95f2-ebc7d559d105","year":2017},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.957230Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:6946d84c128644ad94c3f694bbd80b47c94b381c0c257c27c5a4491a002609e7","observation_id":"7d508354-2ff2-49fc-a139-95dd12dbba6b","resolution":{"observed_at":"2026-08-07T06:06:22.704275Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:22.526244Z","title":"MOSTLY AI SDK, 2025","venue":null,"work_id":"5c945221-6353-4f1c-88a9-95bbe7059c68","year":2025},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.960303Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:66f328198e2dce17c4a9fd08bb2146a584c39d327d7fcdce25ddd7a4b125d64b","observation_id":"6f564c86-fd62-4d9c-98dc-3ada674cb01f","resolution":{"observed_at":"2026-08-07T06:06:22.594040Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.06435","last_updated":"2024-10-17T01:10:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-07-12T20:01:52Z","title":"A Comprehensive Overview of Large Language Models","version":10},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.06435","snapshot_observed_at":"2026-08-07T06:06:20.963036Z","title":"Naveed, A","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.963036Z"},"links":{"cited_paper":"/paper/2307.06435","citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:8b95387726d3cdd6910c3225a538ead2d7583e87c9c4a2a5c910d14db6e95e86","observation_id":"ae2f7ec9-0b09-453f-9135-fa79de4fa092","resolution":{"observed_at":"2026-08-07T06:06:20.963036Z","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":"2026-08-07T06:06:22.335498Z","title":"Patki, R","venue":null,"work_id":"209a3c6a-5642-4e62-b833-e3fcbe7eef2b","year":2016},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.966085Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:2c457ad6d39bcf93e02624eb490d34bd49fe480425457aa38cb4c58c576040dc","observation_id":"273ba89f-0588-4a0f-8af1-d4b3baa1bbbf","resolution":{"observed_at":"2026-08-07T06:06:22.450692Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.08614","last_updated":"2024-06-08T17:07:35Z","snapshot_observed_at":"2026-08-03T01:30:47.354173Z","submitted_at":"2024-02-13T17:26:32Z","title":"CaPS: Collaborative and Private Synthetic Data Generation from Distributed Sources","version":2},"cited_work":{"arxiv_id":"2402.08614","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.08614","snapshot_observed_at":"2026-08-07T06:06:21.158279Z","title":"CaPS: Collaborative and Private Synthetic Data Generation from Distributed Sources","venue":"cs.CR","work_id":"5bb5b651-5b6b-413e-ab1d-c5b40c6bf9d8","year":2024},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.968795Z"},"links":{"cited_paper":"/paper/2402.08614","citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:92169e35356284185a0f4e5a7f41fd3cb2bcdb6b20c78cde9f788eb27b79a874","observation_id":"8628c298-4ef4-46c5-a806-8aad068f020e","resolution":{"observed_at":"2026-08-07T06:06:21.161624Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.07332","last_updated":"2022-10-28T18:28:48Z","snapshot_observed_at":"2026-07-06T14:04:58.943383Z","submitted_at":"2022-10-13T20:09:17Z","title":"Secure Multiparty Computation for Synthetic Data Generation from Distributed Data","version":2},"cited_work":{"arxiv_id":"2210.07332","doi":null,"metadata_source":"pith","pith_arxiv_id":"2210.07332","snapshot_observed_at":"2026-08-07T06:06:21.144920Z","title":"Secure Multiparty Computation for Synthetic Data Generation from Distributed Data","venue":"cs.CR","work_id":"d24f73ba-c4ec-4972-a536-968f30a42f79","year":2022},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.971798Z"},"links":{"cited_paper":"/paper/2210.07332","citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:fcdc8dfb9c99e5b72895a41b52d52fe308499a5330a956b1600981d22ca3da26","observation_id":"3a0f72fa-4b6b-48c9-b543-f1d885f585cf","resolution":{"observed_at":"2026-08-07T06:06:21.148565Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:22.191377Z","title":null,"venue":null,"work_id":"15bfdbe8-0697-4517-b5b1-c61ead18913a","year":2017},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.974933Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:8d004b5c1e182251fb24dadca2d492a9896392a0638fc7935aa549099c2d81e0","observation_id":"99986fa6-9caa-4e5f-9f94-3df1db721331","resolution":{"observed_at":"2026-08-07T06:06:22.259577Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:22.081350Z","title":"Qian, B.-C","venue":null,"work_id":"890be8df-fbdb-4de0-86ee-3b921f3bbba7","year":2023},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.977738Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:5382762424f9058440b599c345257b6cf28a57fa50cdbcd8e8636e141bc25868","observation_id":"463e042b-5f4b-45a5-944a-b88317d291bd","resolution":{"observed_at":"2026-08-07T06:06:22.113597Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.04803","last_updated":"2023-06-07T21:53:14Z","snapshot_observed_at":"2026-07-06T15:40:00.975837Z","submitted_at":"2023-06-07T21:53:14Z","title":"Privately generating tabular data using language models","version":1},"cited_work":{"arxiv_id":"2306.04803","doi":null,"metadata_source":"pith","pith_arxiv_id":"2306.04803","snapshot_observed_at":"2026-08-07T06:06:21.127254Z","title":"Privately generating tabular data using language models","venue":"cs.LG","work_id":"a50b07f1-8f6c-49f2-b4d9-848b942f3a9b","year":2023},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.980805Z"},"links":{"cited_paper":"/paper/2306.04803","citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:77c92a7b0f6548b51530f90b5677b8d4a9104439d45ddc2fcbe5dd5a3dbdb964","observation_id":"0db58092-44b9-4e38-919e-1b67f2696748","resolution":{"observed_at":"2026-08-07T06:06:21.132814Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:21.885910Z","title":"Shokri, M","venue":null,"work_id":"0a48c7e2-0982-41be-b0fc-3dfc8dc82ca4","year":2017},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.983799Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:2fc203ec1288872f876a393095f5d37389b030f0f24f34c8e9ed39b1864e2137","observation_id":"77627164-5161-4ba6-838f-7d9281925925","resolution":{"observed_at":"2026-08-07T06:06:21.966367Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:21.770214Z","title":"Sohl-Dickstein, E","venue":null,"work_id":"80929c43-6671-4d2f-882d-fb9b884dfec6","year":2015},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.986636Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:baabfdecf1e4efa28fdb590e313fbf6607bbc616573dba096796ee4db15234ea","observation_id":"0e3fba67-1f55-496d-bc30-f49e710829a0","resolution":{"observed_at":"2026-08-07T06:06:21.838722Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:21.594407Z","title":"Stadler, B","venue":null,"work_id":"0c6009d1-14cc-4bad-b36c-9fa45e14942a","year":2022},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.989505Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:018a19b9172c521e580ad5375870a83d4d3461b892c470ead6ab8b5bacb49094","observation_id":"f29d5fbe-f6d2-45da-a7f1-070dc3544f41","resolution":{"observed_at":"2026-08-07T06:06:21.638377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:21.576168Z","title":null,"venue":null,"work_id":"68741e4f-d2fe-4886-8bb2-7d417648dca2","year":2002},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.992489Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:10f799c39f20aa4cf293516dbc6bacbd1a23f9c41cdbb6eef9d3a75259c7df6a","observation_id":"10d49b00-824b-43e0-991f-16660b9e1a85","resolution":{"observed_at":"2026-08-07T06:06:21.583562Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:21.559083Z","title":null,"venue":null,"work_id":"00b29dd1-de18-4318-8e0c-60ce5250ed99","year":2022},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.995295Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:33f69f431ee0fac4907856f06e0512b2b745641fbc1b18db9543028f31c825e5","observation_id":"2d04bc68-8d1a-4f6a-b968-5a8e048ab9ef","resolution":{"observed_at":"2026-08-07T06:06:21.565905Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:21.541767Z","title":"Thanh-Tung and T","venue":null,"work_id":"188aec18-30f3-4324-9ac5-577f16c63a52","year":2020},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:20.998219Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:399fdd9d1e3de1464e22c05199c608844a8e4df41e86822b7e1c6572983ad85d","observation_id":"194e0771-bc33-4d81-a2f1-b1d0c618e974","resolution":{"observed_at":"2026-08-07T06:06:21.548705Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.01376","last_updated":"2022-04-04T10:48:32Z","snapshot_observed_at":"2026-08-04T06:34:18.195203Z","submitted_at":"2022-04-04T10:48:32Z","title":"Synthetic Graph Generation to Benchmark Graph Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.01376","snapshot_observed_at":"2026-08-07T06:06:21.001315Z","title":"Tsitsulin, B","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:21.001315Z"},"links":{"cited_paper":"/paper/2204.01376","citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:e79cfc0624501ffd0f1beb6c98f685b2b72ce40bcd3b44d839e187f82b37dfef","observation_id":"1143dec4-d952-4e27-bbbe-ab78730a698d","resolution":{"observed_at":"2026-08-07T06:06:21.001315Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.03856","last_updated":"2024-03-06T17:06:11Z","snapshot_observed_at":"2026-07-06T17:40:33.769700Z","submitted_at":"2024-03-06T17:06:11Z","title":"Public-data Assisted Private Stochastic Optimization: Power and Limitations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.03856","snapshot_observed_at":"2026-08-07T06:06:21.004854Z","title":"Ullah, M","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:21.004854Z"},"links":{"cited_paper":"/paper/2403.03856","citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:0e54d0e06fb7231d179d0cd070164d884b0546b77f139af0932a6212c7763f7d","observation_id":"5f7c86ed-e478-43a1-8120-af25ce196e35","resolution":{"observed_at":"2026-08-07T06:06:21.004854Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.12580","last_updated":"2023-02-24T11:27:39Z","snapshot_observed_at":"2026-08-02T17:31:30.856348Z","submitted_at":"2023-02-24T11:27:39Z","title":"Membership Inference Attacks against Synthetic Data through Overfitting Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.12580","snapshot_observed_at":"2026-08-07T06:06:21.007901Z","title":"Van Breugel, H","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:21.007901Z"},"links":{"cited_paper":"/paper/2302.12580","citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:8ffe5bfb8f497ea539f90dfba1fcf895b660093339fc953d693eac559844ef98","observation_id":"2ebe6f42-10b3-410f-836f-62c257cdd118","resolution":{"observed_at":"2026-08-07T06:06:21.007901Z","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":"2026-08-07T06:06:21.524536Z","title":"Vietri, C","venue":null,"work_id":"a843b725-ec80-4b7c-9d01-f4f499c8c0ba","year":2022},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:21.010902Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:6578631090e2dc7bc4759131abd6a49b3c10a218dbb30cc6868e53589b99d066","observation_id":"93f74616-8a64-4fcb-ae44-f8587a0c6c34","resolution":{"observed_at":"2026-08-07T06:06:21.531584Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.08440","last_updated":"2022-04-11T09:23:43Z","snapshot_observed_at":"2026-07-06T12:09:00.789234Z","submitted_at":"2021-11-15T12:32:20Z","title":"On the Importance of Difficulty Calibration in Membership Inference Attacks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.08440","snapshot_observed_at":"2026-08-07T06:06:21.013927Z","title":"Watson, C","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:21.013927Z"},"links":{"cited_paper":"/paper/2111.08440","citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:2801d5ba6c19c463f62474ba1c4b8ea69a91367109a9e55fc047f6d5d107fce8","observation_id":"b4da9368-4e9a-4858-9969-649ab55f6bb0","resolution":{"observed_at":"2026-08-07T06:06:21.013927Z","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":"2026-08-07T06:06:21.507426Z","title":null,"venue":null,"work_id":"ddb73ec8-454a-42b0-b958-1ccd2f002446","year":2017},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:21.017161Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:5ad84b0cf9998cbf85448c5280f637405432d53537fd3451517290c60cf55fd3","observation_id":"751eafbb-ebd4-45a8-940e-b9af0ef828ad","resolution":{"observed_at":"2026-08-07T06:06:21.514640Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:21.491759Z","title":null,"venue":null,"work_id":"de50e23e-ed76-42d9-b104-042f5b1a7777","year":2019},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:21.020061Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:98a142548aa83227f6b8f08c3faaded76cadac2a7196713a9691c597faf381e7","observation_id":"886f1dd9-bf2f-4a48-bffb-e48d02c24e75","resolution":{"observed_at":"2026-08-07T06:06:21.497581Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:21.475763Z","title":null,"venue":null,"work_id":"388e9fb4-f302-469f-bab8-59478795c8ed","year":2022},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:21.022842Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:b6938fcdd3af1432a221a5f222a67d80a097d61dbed8442060ee4fe3a6d56533","observation_id":"14f81eb4-f4c3-4adc-b3fc-c31357de2796","resolution":{"observed_at":"2026-08-07T06:06:21.482440Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.03262","last_updated":"2024-06-12T09:02:47Z","snapshot_observed_at":"2026-08-06T10:49:48.033035Z","submitted_at":"2023-12-06T03:18:49Z","title":"Low-Cost High-Power Membership Inference Attacks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.03262","snapshot_observed_at":"2026-08-07T06:06:21.025722Z","title":"Zarifzadeh, P","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:21.025722Z"},"links":{"cited_paper":"/paper/2312.03262","citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:773be7aeb46bdb5e37a6db80e20f9f3bc501ceaed87f1bb874f684fce65073d4","observation_id":"9f129cf8-fd41-457c-a7f2-ee4b5e71fedf","resolution":{"observed_at":"2026-08-07T06:06:21.025722Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.09656","last_updated":"2024-05-11T06:07:42Z","snapshot_observed_at":"2026-07-06T16:33:07.987802Z","submitted_at":"2023-10-14T19:59:03Z","title":"Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.09656","snapshot_observed_at":"2026-08-07T06:06:21.029313Z","title":"Zhang, J","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:21.029313Z"},"links":{"cited_paper":"/paper/2310.09656","citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:9143b77ce1a76d3211634f098ecc09104adc7cce79d911855416f383db82eca2","observation_id":"15b50c94-315f-4dbe-9ae2-d226a91cbc3f","resolution":{"observed_at":"2026-08-07T06:06:21.029313Z","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":"2026-08-07T06:06:21.457266Z","title":"Zhang, G","venue":null,"work_id":"83c82b1b-5dbd-419f-b4ec-9cd709747c54","year":2017},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:21.032496Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:d38960ac6d2d0e895cd06a482225b973324afba4b78b046036afee53a7de8436","observation_id":"304b5b5f-3c19-4b4d-b57c-de36440337ec","resolution":{"observed_at":"2026-08-07T06:06:21.464896Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:21.438986Z","title":"Zhang, G","venue":null,"work_id":"78b5c9cf-4822-4e5d-a0c8-2919b1b71506","year":2017},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:21.035266Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:5893835db791092824d104f01808aafceb259f336acefdac0ea7dbe38cd96e1b","observation_id":"8a06cb1d-27bf-4ea1-a315-c1fbf576c412","resolution":{"observed_at":"2026-08-07T06:06:21.446272Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T06:06:21.420361Z","title":"Zhang, T","venue":null,"work_id":"085df587-e391-4663-ba86-c799c22149a8","year":2021},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:21.038207Z"},"links":{"citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:559c2b73e234b2174da25037699e4cfecd4f4f6dd499552b6ff0a588a0e893f6","observation_id":"2e3e78c4-3c36-4c5a-8f0d-efa42e563f9e","resolution":{"observed_at":"2026-08-07T06:06:21.427922Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses"},"reference_resolution":{"displayed":79,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":36,"verified_exact":5,"verified_fuzzy":38},"total_outbound_references":79},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 0 inbound Pith citation observations for arXiv:2506.06108."}