{"as_of":"2026-08-23T07:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e76eb56a6bc59c35c1f455f692c9719ff593dde258025221728f05beac3cea6f","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":"2026-08-23T06:30:58.430688+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":"2026-08-21T19:08:48.043607Z","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":"sha256:32a017f05e2e7dd33648d872e31c973b3f0c19a67dd24e58e9e90a366eeee6c9","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"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":"2026-08-21T19:08:48.043607Z","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":"sha256:1a7975fdaff6b615a918cc358b29c1a4209fce59f41d6140297efe04a4a5284d","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":"2026-08-21T19:08:48.043607Z","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:db95c4dfd48c4a86512a5fb7fe3dd1de12da4f7815c6d43f1ed051f5f632db49","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:28.820395Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:8e3548c140c67c56fdf1a917f8017f2c7a96b748f14cdc50c068bdd80f0dfcda","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:28.707566Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:445e390b9da38e25369015ea3c56dd6972ff00fe5ba9e6914bbb1e0a2e1e1a81","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:28.568446Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:3bf805fe2bb457be7da589d6b560c2d5ba17760766c96cb6e938de0ac6629885","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.06280","last_updated":"2023-04-22T10:03:23Z","snapshot_observed_at":"2026-08-16T16:24:48.218411Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:441014c8de9a182d9247236dc1f8d5d6249219c2a0b98460094f16d0203179a6","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":"2026-08-15T04:44:20.293253Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:72a2340e98f93a75236bfdba3ad4331c920710a0c38a619eefb45392c049acdd","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":"2026-08-21T19:08:48.043607Z","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":"sha256:409d2fb64a4b21dda8755caad32573cee9e4e07a562fda0992d7de3d167d50fb","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:28.297985Z","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":"2026-08-21T19:08:48.043607Z","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:df67488be915580e06ccf857455c3b2645697524c23411882f648055bc2ebf19","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:28.124326Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:4417c61bd5a06b82cea1fa1791d1b7f33dd4a125ef52eaf364d081b76096d2aa","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:27.959211Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:79d475b3160a700443a2f87610c633ac31016b034edd3a0690154787736c14d3","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"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":"2026-08-21T19:08:48.043607Z","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:a1df0b9dad68a831a441703ec608f6900e10896a049f86e3e154da94886e0950","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:27.781431Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:32ed60a61f7f4bc76d6d60eaa376a08674ea4c8212a5b0aa0f71b238fad0436d","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:27.665242Z","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":"2026-08-21T19:08:48.043607Z","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:bcd090d5deaf758afd86716051d9303e2e73f0790322fb2b67d4c81b0b47cb11","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:27.499272Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:2b71b256b8df21ee42f5a0818ddfbeca03b9a2b91c5816867522ecb20bb38c6a","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:27.342511Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:82deffbd280f85a00f28cb43f048c901cadc34e2390687eacff89aab989b54ba","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:27.153835Z","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":"2026-08-21T19:08:48.043607Z","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:f12b3381630fa63b3bacdc5c1bb54625500eb18dfc25cf330978e16309dc0262","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:26.950766Z","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":"2026-08-21T19:08:48.043607Z","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:a9c9ffd373e5ffa6f35fde1ae83c47f3d675a16359b830c0addacb2a58d3caca","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:26.765092Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:6347f7c1375afbafe42c225afe5f2ff87c5ac12e93a60fd1ba3fea214019c031","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:26.556711Z","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":"2026-08-21T19:08:48.043607Z","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:ed29d4dda6d62e3337058dddc2309f785d59abb20dbcff66f64a67816bcbc9b1","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:26.351382Z","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":"2026-08-21T19:08:48.043607Z","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:d7e3a4bea1cac9aabaa1ecd4ed72c37483d3fb744737d96406df2745b0b12b7f","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:26.170719Z","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":"2026-08-21T19:08:48.043607Z","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:cc4085af18f1a8fe2535b62c98f047b8d8ae5d54cd643bbada69f9f9496ee010","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:26.006396Z","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":"2026-08-21T19:08:48.043607Z","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:ac29ad312e1c51598727ebee0dadccec2679729f7623c0bc40c17d502c6fc771","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:25.846486Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:03d4669953f26f4c56e5f8c4d0a48cd3bc129c2758987bd11566f8dbb15d5686","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:25.671644Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:7f34f51569914286b57a27fe6492d321655ccf9d3c85f66bfd15c7bee4e3a007","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:25.529430Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:4cdda1c377260a22324922ea1cfc925ae7c9f2c49b305e03e2cfe4a1f6105b94","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:25.393606Z","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":"2026-08-21T19:08:48.043607Z","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:a6d9435488fd7c749cd5b0b9dd44e33a8988725b5fbc7d0e3a1a588c0ab699f5","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1705.07663","last_updated":"2018-08-21T13:24:17Z","snapshot_observed_at":"2026-08-16T22:35:56.125619Z","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":"2026-08-21T19:08:48.043607Z","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:e0046a156892eea1b5662b0ead28dcc1178a17f9e78faf6fcf4acd750b12ed54","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":"2026-08-21T19:08:48.043607Z","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":"sha256:5eed295291e4dcb2ae52ab08959c035fe70c5584921fa2d779d8835a6a5eca4b","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:25.151748Z","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":"2026-08-21T19:08:48.043607Z","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:b63ca9edebb93b14c0a055db4a61208cb9a8e97548d00cb9a42f51af8c3d37e5","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.00267","last_updated":"2025-02-25T20:31:22Z","snapshot_observed_at":"2026-08-17T22:12:32.852361Z","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":"2026-08-21T19:08:48.043607Z","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:f406c8b30ca0ea6be367cd51170b45a388b95372838077b367cf6ea1511202a7","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":"2026-08-20T13:06:39.551944Z","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":"2026-08-21T19:08:48.043607Z","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:d148ccc8d27a25a54ab3297f1ebe11fd90591b78a7a154c2f690c98088a78b35","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":"2026-08-21T19:08:48.043607Z","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":"sha256:9897f741f4636a577c2ca439efeecedbf2bfcd405a89bd064c2b36f7f19e316a","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:24.842264Z","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":"2026-08-21T19:08:48.043607Z","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:a2917fec292d97c5d9098797a00873dc3a37771d28894e696d4c0ad73c86093a","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:24.683209Z","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":"2026-08-21T19:08:48.043607Z","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:ab06580f363beef91d09b29463832811ddd558ffaa7664c8e87311e0d0b9529e","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:24.550343Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:9739d38b1c86434b2867117737ec8276db2b1b93e3b58ecde81cbcb39f90da51","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:24.399320Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:98f4903c43c6868c079704825d2a31b49165ca92b6c891c57237b88dc46a86d0","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:24.234962Z","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":"2026-08-21T19:08:48.043607Z","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:c992d751330e738fb7a2522738b07c909e86563f00d0118770677ce584596c93","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:24.079059Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:1217b83955e87362a03a11e86048cc68e9e6738fbbbfa0e90355ce739a15ba2e","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:23.895915Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:73c130aeb4669fab6832a230db81f09d759336d508bfd3263e7ccf68cbfc2f19","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:23.749049Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:1bf2585db014abe381d29c185e8c4e925defc596ecd1682aceb9b4ade4e9cf30","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:23.659074Z","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":"2026-08-21T19:08:48.043607Z","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:e42842910fba5de7a9c4164f50ab162d94591066060049f45a5cad704e6a059d","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:23.496587Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:217dbc6c6c71143cba3fd980eec0a4b1ea20a1a0ab52c6d2740d244726d96ce3","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:23.411756Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:77109054523d1bcecf6b81c765f7e220a262542ab8bdb40d60adea4c3ca4e49f","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:23.273871Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:4c7dcc80929bce0695b1c650246e80c106164d8067d70da47ba28ce0e1fd6197","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.10987","last_updated":"2025-04-15T08:59:03Z","snapshot_observed_at":"2026-08-20T11:17:43.697967Z","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":"2026-08-21T19:08:48.043607Z","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:edfd062f39f134a8888c8b120c02d0a19dfb3e2d565f559dd77d46118a9131e5","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:23.107239Z","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":"2026-08-21T19:08:48.043607Z","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:c1307c9074fa65db48c6ba2712b26abde5bec70250185ec95d969a5f44810dd4","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.04978","last_updated":"2021-08-11T00:49:48Z","snapshot_observed_at":"2026-08-19T22:35:00.300034Z","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":"2026-08-21T19:08:48.043607Z","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:ce956e2b1c028e4d9d2c635e144b3a29bc3661cba2ea74d48cee54e5c0de9e17","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":"2026-08-21T19:08:48.043607Z","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:b7643f8f01803294a6128b906c5ca7e670436c415b8772e2c59f938c17c09d4f","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:22.779394Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:2a13b925258fab153918483b3d4904d9d9e64bebc79c2f004702a70127732760","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:22.669413Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:6aa4e745ec9d615be36fe3933e74cb14f106b24c66db40255e3251fa45f1fd11","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:22.526244Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:5235c85881ee5a890e8beb294200d41b6c3fd7853f6c82be1e281673ff60499d","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"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":"2026-08-21T19:08:48.043607Z","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":"sha256:135705c7ab00c2c0033623737ddaf6baebe10cf8f59e35a5b42d0052f7eabce8","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":"2026-08-21T19:08:48.043607Z","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":"sha256:07495cd7737c2e1d314ab20327b50a524aa0b92a63f96818145f9576659e8f7d","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.08614","last_updated":"2024-06-08T17:07:35Z","snapshot_observed_at":"2026-08-16T14:18:54.488012Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:2c0f41b9112aba5528a90017f2310010da35666d3410165c45faa3987e574a98","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.07332","last_updated":"2022-10-28T18:28:48Z","snapshot_observed_at":"2026-08-16T16:24:20.445433Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:451210eae48e5b29ce6a6864d77a4d3f67468e8dd40289300d003e080ec639fc","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:22.191377Z","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":"2026-08-21T19:08:48.043607Z","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:cdb1b035254ccbeb20d17ddd90660a4e10c13e6d8bfd3966e40953d401baadf0","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:22.081350Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:5d561905e36369c19c39a60b1c3e47e2414f205618147afad351e2303f9134c7","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.04803","last_updated":"2023-06-07T21:53:14Z","snapshot_observed_at":"2026-08-18T17:15:10.595740Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:02e5caa916b049f3975b9fffb5df1ddde255895712f5538b800e7ab559ceb094","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:21.885910Z","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":"2026-08-21T19:08:48.043607Z","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:bfc862a9dd8d1e713701fb603ba17f00f82d792de7c43268103248f9088e2ca3","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:21.770214Z","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":"2026-08-21T19:08:48.043607Z","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:f895b3d8ac9f4618e3541df91ef6a4710f04b8c6b7929e640fd14ab9f764ca4f","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:21.594407Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:570b3931123bdbebb320e458bc9c4b9f834eb12fdc284979f41d89aef899c72b","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:21.576168Z","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":"2026-08-21T19:08:48.043607Z","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:eaaeb2afa8b35f842e6cc70a97f121f2ee33aa37dbd33767e85ea10f88c46094","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:21.559083Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:967cf950292f282329129b10ab7fa413fcf2ae2ee9f8d5292e6cdb8c50d4b980","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:21.541767Z","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":"2026-08-21T19:08:48.043607Z","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:a8121ab9a7b890ec4dab740a5ac7d1013a7a1a079a90ba4d736160d31cc6ff6f","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.01376","last_updated":"2022-04-04T10:48:32Z","snapshot_observed_at":"2026-08-16T17:09:31.100908Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:42e8899c0ecf0e13d6b00d756884f44ab1c9d0eed22c8b759832ec5c404ffbd8","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":"2026-08-17T01:30:22.234712Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:0979fcf6b4668b7405372b6725ae06b46ebf63554918bd88ef47cc91049f107e","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":"2026-08-18T14:09:38.356685Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:7dfd8d8a2debbdec6cc617023261253e02175486d3a055bb9ebdfa014237d2ee","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":"2026-08-21T19:08:48.043607Z","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:de8efd5251d5df44407305253d305d97b4520092dabb213a9127f9a0d8fd7b0b","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.08440","last_updated":"2022-04-11T09:23:43Z","snapshot_observed_at":"2026-08-18T20:02:37.684810Z","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":"2026-08-21T19:08:48.043607Z","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:a064cb35d9f745733caf7f2418ed281773e6365e93452fb831aaf4b575bd5373","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":"2026-08-21T19:08:48.043607Z","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":"sha256:688e9b2994a1496a6075cec860d6463a9a836b896b4f0d192e2deaa709c389db","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:21.491759Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:3543c56798b4edfdbe52bd55616993c9ecf42820f2677935ac6302322278b8d8","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:21.475763Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:3ce82605aac8b592c1d40d8ad595cbb5ef1219fa944369d70cce7d59e4ae93ca","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.03262","last_updated":"2024-06-12T09:02:47Z","snapshot_observed_at":"2026-08-21T23:27:57.099434Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:68f5597c8f83a0708a6a34e9bbe5b090a4929a897c62ecf8e6f0ca3c074c8565","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":"2026-08-16T14:52:06.438161Z","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":"2026-08-21T19:08:48.043607Z","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:b309c68ab1467d5973e440805622c11c031984e97b6122c5669afc52a5ae636d","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":"2026-08-21T19:08:48.043607Z","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":"sha256:87a8be69f422d40a0ce5a04dfc45cc0bfe24b67b88806e146a8afac70aeba034","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:21.438986Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:0b9f847095fa83d6d8dfef2e896352f2197e66e342b0cff90b7f656628a943a2","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:06:21.420361Z","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":"2026-08-21T19:08:48.043607Z","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":"sha256:78f206ca3773fe2826f1634f02f3897d1f6e5285e2c9e1b00e8b64bc23ac7846","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 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-21T19:08:48.043607Z","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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 0 inbound Pith citation observations for arXiv:2506.06108."}