{"as_of":"2026-08-10T23:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:264c566b5efedba813e6916626d5c985141c6c81487fee9485b86d38646a6cc0","coverage":[{"denominator":17,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":17,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:14:31.571573Z","state":"measured"},{"denominator":17,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":17,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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/2505.22322/citation-record","integrity":"/paper/2505.22322/integrity","json":"/paper/2505.22322/citation-record.json","paper":"/paper/2505.22322"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2412.11044","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:14:32.720267Z","title":"Understanding and mitigating memorization in diffusion models for tabular data","venue":null,"work_id":"e17c2158-0768-40ec-8477-a5b4820aac84","year":null},"citing_paper":{"arxiv_id":"2505.22322","last_updated":"2026-05-25T15:16:30Z","snapshot_observed_at":"2026-08-10T01:04:43.856283Z","submitted_at":"2025-05-28T13:06:00Z","title":"A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T13:14:30.052262Z"},"links":{"citing_paper":"/paper/2505.22322"},"observation_digest":"sha256:3d2ebff483429778af16d561c1138a222c2198cd5bfed64090974213524cb7e0","observation_id":"35ba8f03-8e64-4486-abbf-4d1448be8bed","resolution":{"observed_at":"2026-08-07T13:14:32.868561Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:14:33.383927Z","title":"too close","venue":null,"work_id":"4c6b07bc-8108-4b27-b45c-7cdacfc54758","year":1994},"citing_paper":{"arxiv_id":"2505.22322","last_updated":"2026-05-25T15:16:30Z","snapshot_observed_at":"2026-08-10T01:04:43.856283Z","submitted_at":"2025-05-28T13:06:00Z","title":"A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T13:14:31.571573Z"},"links":{"citing_paper":"/paper/2505.22322"},"observation_digest":"sha256:83d4111996ab9d606321e21733141b6a33807dd1c2e04b88e764efd6ecbf6fbd","observation_id":"c6bda6fc-2241-49f1-bb30-e0bd3392ba2d","resolution":{"observed_at":"2026-08-07T13:14:33.534878Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.17817","last_updated":"2024-07-25T07:10:31Z","snapshot_observed_at":"2026-08-10T10:57:57.685067Z","submitted_at":"2024-07-25T07:10:31Z","title":"Demystifying Verbatim Memorization in Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.17817","snapshot_observed_at":"2026-08-07T13:14:30.342248Z","title":"Demystifying verbatim memorization in large language models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22322","last_updated":"2026-05-25T15:16:30Z","snapshot_observed_at":"2026-08-10T01:04:43.856283Z","submitted_at":"2025-05-28T13:06:00Z","title":"A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T13:14:30.342248Z"},"links":{"cited_paper":"/paper/2407.17817","citing_paper":"/paper/2505.22322"},"observation_digest":"sha256:d3f566bb9ef8dfa34f239b5c97ca84b14c0f4932401b64b59147439ffac4abea","observation_id":"9242110b-a14b-461d-b47f-30e556f7696c","resolution":{"observed_at":"2026-08-07T13:14:30.342248Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1312.6114","last_updated":"2022-12-10T21:04:00Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2013-12-20T20:58:10Z","title":"Auto-Encoding Variational Bayes","version":11},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.6114","snapshot_observed_at":"2026-08-07T13:14:30.457356Z","title":"Auto-encoding variational bayes","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22322","last_updated":"2026-05-25T15:16:30Z","snapshot_observed_at":"2026-08-10T01:04:43.856283Z","submitted_at":"2025-05-28T13:06:00Z","title":"A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T13:14:30.457356Z"},"links":{"cited_paper":"/paper/1312.6114","citing_paper":"/paper/2505.22322"},"observation_digest":"sha256:6f4c226a75561fe4a0cb68dc5d8945340cd4c51c08dbd4370e5b1279b77fbe5d","observation_id":"da1a6876-282e-4722-a0d8-7645826449a1","resolution":{"observed_at":"2026-08-07T13:14:30.457356Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.05216","last_updated":"2024-06-07T18:59:37Z","snapshot_observed_at":"2026-08-04T10:26:49.355032Z","submitted_at":"2024-06-07T18:59:37Z","title":"TabPFGen -- Tabular Data Generation with TabPFN","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.05216","snapshot_observed_at":"2026-08-07T13:14:30.571717Z","title":"Noseong Park, Mahmoud Mohammadi, Kshitij Gorde, Sushil Jajodia, Hongkyu Park, and Youngmin Kim","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22322","last_updated":"2026-05-25T15:16:30Z","snapshot_observed_at":"2026-08-10T01:04:43.856283Z","submitted_at":"2025-05-28T13:06:00Z","title":"A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T13:14:30.571717Z"},"links":{"cited_paper":"/paper/2406.05216","citing_paper":"/paper/2505.22322"},"observation_digest":"sha256:3250afbc07afb11b22a7c2e8022428b7808758a9c17610daa27c3e51962e443e","observation_id":"b3fa2ae1-0b87-486a-ad0a-4f88df916777","resolution":{"observed_at":"2026-08-07T13:14:30.571717Z","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":"2026-08-07T13:14:34.283423Z","title":"Diffusion probabilistic models generalize when they fail to memorize","venue":null,"work_id":"0e7946c7-8437-4bd5-b470-e7cf5f1d57b6","year":2023},"citing_paper":{"arxiv_id":"2505.22322","last_updated":"2026-05-25T15:16:30Z","snapshot_observed_at":"2026-08-10T01:04:43.856283Z","submitted_at":"2025-05-28T13:06:00Z","title":"A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T13:14:31.061047Z"},"links":{"citing_paper":"/paper/2505.22322"},"observation_digest":"sha256:a53a0ee9402ffc9ba954d455066adfc8425f190184b50739815741df478644f0","observation_id":"ca4a0109-a16e-4fde-a179-da5d57b08df5","resolution":{"observed_at":"2026-08-07T13:14:34.373610Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.09656","last_updated":"2024-05-11T06:07:42Z","snapshot_observed_at":"2026-08-09T01:13:31.046902Z","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":"2026-08-07T13:14:31.113728Z","title":"Mixed-type tabular data synthesis with score- based diffusion in latent space","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22322","last_updated":"2026-05-25T15:16:30Z","snapshot_observed_at":"2026-08-10T01:04:43.856283Z","submitted_at":"2025-05-28T13:06:00Z","title":"A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T13:14:31.113728Z"},"links":{"cited_paper":"/paper/2310.09656","citing_paper":"/paper/2505.22322"},"observation_digest":"sha256:552e3614594524df3c038b004f128d52f3c2c8e9f93a16d81f35a57ef6e06e07","observation_id":"db262540-2f65-4b61-818e-e787fdbaaaa5","resolution":{"observed_at":"2026-08-07T13:14:31.113728Z","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":"2026-08-07T13:14:34.031996Z","title":"Zaidi, Jiahui Zhou, and Gang Li","venue":null,"work_id":"57125247-af0c-4df9-8103-55280d761be0","year":2021},"citing_paper":{"arxiv_id":"2505.22322","last_updated":"2026-05-25T15:16:30Z","snapshot_observed_at":"2026-08-10T01:04:43.856283Z","submitted_at":"2025-05-28T13:06:00Z","title":"A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T13:14:31.266771Z"},"links":{"citing_paper":"/paper/2505.22322"},"observation_digest":"sha256:f9dcd2c6df38835ea7a998dabc53ba28479c7901359dfa23c6308a5ee241bc58","observation_id":"cfc66e2b-4a25-44b2-9602-2941acc3ce6a","resolution":{"observed_at":"2026-08-07T13:14:34.164052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T13:14:33.735492Z","title":"TCMP first performs feature clustering based on domain-relevant correlation metrics to identify groups of highly related features","venue":null,"work_id":"5f65e07b-3c5d-4c95-b16b-2f0a97842690","year":2019},"citing_paper":{"arxiv_id":"2505.22322","last_updated":"2026-05-25T15:16:30Z","snapshot_observed_at":"2026-08-10T01:04:43.856283Z","submitted_at":"2025-05-28T13:06:00Z","title":"A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T13:14:31.460647Z"},"links":{"citing_paper":"/paper/2505.22322"},"observation_digest":"sha256:38ee346f16b27d8c0e0942b7c9ef2ebd9644e349aa42742fa76fcd929bfd9dc1","observation_id":"c74cc119-1e49-44ab-8009-6cfca7758c00","resolution":{"observed_at":"2026-08-07T13:14:33.836545Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"1751.32317","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:14:32.215340Z","title":"doi: 10.14778/3231751.3231757","venue":null,"work_id":"3c160d8f-d4ab-48b9-8b50-f25ed2e9fb48","year":null},"citing_paper":{"arxiv_id":"2505.22322","last_updated":"2026-05-25T15:16:30Z","snapshot_observed_at":"2026-08-10T01:04:43.856283Z","submitted_at":"2025-05-28T13:06:00Z","title":"A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective","version":3},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-07T13:14:30.653607Z"},"links":{"citing_paper":"/paper/2505.22322"},"observation_digest":"sha256:529ef5d5745ac2f1fe9907943783a813247563b0942e1b1dc44dd0538338c1b8","observation_id":"22068f20-5e51-411c-8c96-2cf18ddc19f8","resolution":{"observed_at":"2026-08-07T13:14:32.297812Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.08254","last_updated":"2025-03-04T07:39:04Z","snapshot_observed_at":"2026-08-10T01:04:14.003836Z","submitted_at":"2024-04-12T06:08:43Z","title":"Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.08254","snapshot_observed_at":"2026-08-07T13:14:30.936682Z","title":"Balanced mixed-type tabular data synthesis with diffusion models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22322","last_updated":"2026-05-25T15:16:30Z","snapshot_observed_at":"2026-08-10T01:04:43.856283Z","submitted_at":"2025-05-28T13:06:00Z","title":"A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective","version":3},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-07T13:14:30.936682Z"},"links":{"cited_paper":"/paper/2404.08254","citing_paper":"/paper/2505.22322"},"observation_digest":"sha256:796585f6ed93d86b48cde48cab878288e19e2c6bbee55c79df7e73d1daccf824","observation_id":"e36a09c2-c71f-4faf-8b3b-f979813aafab","resolution":{"observed_at":"2026-08-07T13:14:30.936682Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02664","last_updated":"2025-02-20T06:17:25Z","snapshot_observed_at":"2026-08-05T08:58:57.183527Z","submitted_at":"2023-10-04T09:04:20Z","title":"On Memorization in Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.02664","snapshot_observed_at":"2026-08-07T13:14:30.126590Z","title":"On memorization in diffusion models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22322","last_updated":"2026-05-25T15:16:30Z","snapshot_observed_at":"2026-08-10T01:04:43.856283Z","submitted_at":"2025-05-28T13:06:00Z","title":"A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective","version":3},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-07T13:14:30.126590Z"},"links":{"cited_paper":"/paper/2310.02664","citing_paper":"/paper/2505.22322"},"observation_digest":"sha256:e47148360c159f00e95c3fee967b7a4f048e2a08b9ea40b02ec3100dcda7541e","observation_id":"86b55146-3473-454e-885f-66cd99bf597a","resolution":{"observed_at":"2026-08-07T13:14:30.126590Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:14:31.365370Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.22322","last_updated":"2026-05-25T15:16:30Z","snapshot_observed_at":"2026-08-10T01:04:43.856283Z","submitted_at":"2025-05-28T13:06:00Z","title":"A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective","version":3},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-07T13:14:31.365370Z"},"links":{"citing_paper":"/paper/2505.22322"},"observation_digest":"sha256:900c9acfcbbe93537633529ce28278f50dbc0664d3ea1adc1043ace25c2a0a9c","observation_id":"6379201b-7a87-4690-b30b-0f439f4ea27b","resolution":{"observed_at":"2026-08-07T13:14:31.365370Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:14:30.747527Z","title":"Does generation require mem- orization? creative diffusion models using ambient diffusion","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22322","last_updated":"2026-05-25T15:16:30Z","snapshot_observed_at":"2026-08-10T01:04:43.856283Z","submitted_at":"2025-05-28T13:06:00Z","title":"A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective","version":3},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-07T13:14:30.747527Z"},"links":{"citing_paper":"/paper/2505.22322"},"observation_digest":"sha256:3111af4bbc9e67ddd56923f3a2f46db64e82094da55e6252ccdab25c5589f418","observation_id":"33eea1ac-952b-41d6-a312-98a0570f3a0f","resolution":{"observed_at":"2026-08-07T13:14:30.747527Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.10209","last_updated":"2024-11-02T23:19:18Z","snapshot_observed_at":"2026-08-05T02:50:00.813169Z","submitted_at":"2024-06-14T17:44:22Z","title":"Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.10209","snapshot_observed_at":"2026-08-07T13:14:30.256538Z","title":"Be like a goldfish, don’t memorize! mitigating memorization in generative llms","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22322","last_updated":"2026-05-25T15:16:30Z","snapshot_observed_at":"2026-08-10T01:04:43.856283Z","submitted_at":"2025-05-28T13:06:00Z","title":"A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective","version":3},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T13:14:30.256538Z"},"links":{"cited_paper":"/paper/2406.10209","citing_paper":"/paper/2505.22322"},"observation_digest":"sha256:2d8c6ae94c82c269496fc25da640898eeef3be12c5052f3755943a695041d825","observation_id":"de5322d4-4907-4baf-90bd-73a5bbd51b6b","resolution":{"observed_at":"2026-08-07T13:14:30.256538Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.08434","last_updated":"2024-11-14T09:11:26Z","snapshot_observed_at":"2026-07-06T17:59:21.208430Z","submitted_at":"2024-04-12T12:31:06Z","title":"An improved tabular data generator with VAE-GMM integration","version":2},"cited_work":{"arxiv_id":"2404.08434","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.08434","snapshot_observed_at":"2026-08-07T13:14:33.048771Z","title":"An improved tabular data generator with VAE-GMM integration","venue":"cs.LG","work_id":"a427b4c1-26d3-4c31-9065-8bc8c9999165","year":2024},"citing_paper":{"arxiv_id":"2505.22322","last_updated":"2026-05-25T15:16:30Z","snapshot_observed_at":"2026-08-10T01:04:43.856283Z","submitted_at":"2025-05-28T13:06:00Z","title":"A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective","version":3},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T13:14:29.961810Z"},"links":{"cited_paper":"/paper/2404.08434","citing_paper":"/paper/2505.22322"},"observation_digest":"sha256:a925cb5a6a8792bee5113282fee8ef88a8c919c5de5684ade003842975148028","observation_id":"53dda4cd-ce36-43cd-821d-bbe4bcc0c975","resolution":{"observed_at":"2026-08-07T13:14:33.195343Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.20626","last_updated":"2025-02-16T06:46:06Z","snapshot_observed_at":"2026-07-06T19:40:30.194147Z","submitted_at":"2024-10-27T22:58:47Z","title":"TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.20626","snapshot_observed_at":"2026-08-07T13:14:30.823674Z","title":"Gowthami Somepalli, Vasu Singla, Micah Goldblum, Jonas Geiping, and Tom Goldstein","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22322","last_updated":"2026-05-25T15:16:30Z","snapshot_observed_at":"2026-08-10T01:04:43.856283Z","submitted_at":"2025-05-28T13:06:00Z","title":"A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective","version":3},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-07T13:14:30.823674Z"},"links":{"cited_paper":"/paper/2410.20626","citing_paper":"/paper/2505.22322"},"observation_digest":"sha256:3d23ec01fe1e9161643a8dbae66f66517c7687fac5470b3e76a9d1b74e226735","observation_id":"a9f47209-e52d-45a1-9bb0-1f7cc4e61f7f","resolution":{"observed_at":"2026-08-07T13:14:30.823674Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.22322","last_updated":"2026-05-25T15:16:30Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-10T01:04:43.856283Z","submitted_at":"2025-05-28T13:06:00Z","title":"A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective"},"reference_resolution":{"displayed":17,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":10,"verified_exact":1,"verified_fuzzy":4},"total_outbound_references":17},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2505.22322."}