{"as_of":"2026-08-15T16:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:904a44166d0434630f2c56eaddfdac585cca565ec4624150fd8bee4ede73dd88","coverage":[{"denominator":25,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":25,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-26T18:07:54.436008Z","state":"measured"},{"denominator":25,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":25,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+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/2606.19827/citation-record","integrity":"/paper/2606.19827/integrity","json":"/paper/2606.19827/citation-record.json","paper":"/paper/2606.19827"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T18:07:54.436008Z","title":"personalized","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2606.19827","last_updated":"2026-06-18T06:11:58Z","snapshot_observed_at":"2026-08-08T01:36:20.585388Z","submitted_at":"2026-06-18T06:11:58Z","title":"When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-26T18:07:54.436008Z"},"links":{"citing_paper":"/paper/2606.19827"},"observation_digest":"sha256:1c248013bcc418b0a31923a890420098b20dba80c689edad027ce4e56fef0629","observation_id":"0cd86806-85d9-4a0d-afe3-3d1da06ea271","resolution":{"observed_at":"2026-06-26T18:07:54.436008Z","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":"2026-06-26T18:07:54.436008Z","title":"In: Pro- ceedings of the AAAI conference on artificial intelligence","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.19827","last_updated":"2026-06-18T06:11:58Z","snapshot_observed_at":"2026-08-08T01:36:20.585388Z","submitted_at":"2026-06-18T06:11:58Z","title":"When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-26T18:07:54.436008Z"},"links":{"citing_paper":"/paper/2606.19827"},"observation_digest":"sha256:119dd74684a0a9326ca76dca7558c62eb12fecb86474111b862fb1b17e0489d5","observation_id":"5cbf2c02-e5c7-46d1-80f9-f29631511205","resolution":{"observed_at":"2026-06-26T18:07:54.436008Z","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":"2026-06-26T18:07:54.436008Z","title":"In: Pro- ceedings ofthe 26thannualinternational conference on machine learning.pp","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2606.19827","last_updated":"2026-06-18T06:11:58Z","snapshot_observed_at":"2026-08-08T01:36:20.585388Z","submitted_at":"2026-06-18T06:11:58Z","title":"When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-26T18:07:54.436008Z"},"links":{"citing_paper":"/paper/2606.19827"},"observation_digest":"sha256:f381e2e3cb2edeb0ab0ec65843e86219d5f03d02d417de0afa30b05ad8900782","observation_id":"25f688ab-13d6-4b2e-9c03-d041b1141e6a","resolution":{"observed_at":"2026-06-26T18:07:54.436008Z","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":"2026-06-26T18:07:54.436008Z","title":"IEEE transactions on neural networks and learning systems35(6), 7499–7519 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.19827","last_updated":"2026-06-18T06:11:58Z","snapshot_observed_at":"2026-08-08T01:36:20.585388Z","submitted_at":"2026-06-18T06:11:58Z","title":"When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-26T18:07:54.436008Z"},"links":{"citing_paper":"/paper/2606.19827"},"observation_digest":"sha256:954979c6e751a1ecc01a60effa5246bdd4415d366db46ba8e12133f41e8fbf67","observation_id":"18b78deb-8937-4971-a122-b3d831da7799","resolution":{"observed_at":"2026-06-26T18:07:54.436008Z","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":"2026-06-26T18:07:54.436008Z","title":"Chapman and Hall/CRC (2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2606.19827","last_updated":"2026-06-18T06:11:58Z","snapshot_observed_at":"2026-08-08T01:36:20.585388Z","submitted_at":"2026-06-18T06:11:58Z","title":"When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-26T18:07:54.436008Z"},"links":{"citing_paper":"/paper/2606.19827"},"observation_digest":"sha256:b3470b6a7648252e60fe10ea81b53c8858d3597d0fc20a54ec3c0f599650a883","observation_id":"d61f629f-dc69-43c5-acdd-0e97bcc3e7b2","resolution":{"observed_at":"2026-06-26T18:07:54.436008Z","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":"2026-06-26T18:07:54.436008Z","title":"In: Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2606.19827","last_updated":"2026-06-18T06:11:58Z","snapshot_observed_at":"2026-08-08T01:36:20.585388Z","submitted_at":"2026-06-18T06:11:58Z","title":"When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-26T18:07:54.436008Z"},"links":{"citing_paper":"/paper/2606.19827"},"observation_digest":"sha256:92adeeef9421dd2b636af5c1815c0d1f231c7753349c3152ad9f48947f3ad120","observation_id":"083306b7-8f32-4f09-9b80-7ce9f78a286f","resolution":{"observed_at":"2026-06-26T18:07:54.436008Z","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":"2026-06-26T18:07:54.436008Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.19827","last_updated":"2026-06-18T06:11:58Z","snapshot_observed_at":"2026-08-08T01:36:20.585388Z","submitted_at":"2026-06-18T06:11:58Z","title":"When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-26T18:07:54.436008Z"},"links":{"citing_paper":"/paper/2606.19827"},"observation_digest":"sha256:3940541832e9c6cabba481df5ed952fb1f68262043ba3b640925aacf4da72637","observation_id":"e3286303-7580-4ea8-88f6-f2fa50e1e685","resolution":{"observed_at":"2026-06-26T18:07:54.436008Z","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":"2026-06-26T18:07:54.436008Z","title":"Nature medicine25(1), 24–29 (2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.19827","last_updated":"2026-06-18T06:11:58Z","snapshot_observed_at":"2026-08-08T01:36:20.585388Z","submitted_at":"2026-06-18T06:11:58Z","title":"When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-26T18:07:54.436008Z"},"links":{"citing_paper":"/paper/2606.19827"},"observation_digest":"sha256:6e88701514e1a255b40475bde91c2c4c784b37f22d0ac2ffcdbcfe658e0a4a24","observation_id":"0c712183-bde9-4337-ad0b-0e8736ce5447","resolution":{"observed_at":"2026-06-26T18:07:54.436008Z","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":"2026-06-26T18:07:54.436008Z","title":"Advances in Neural Information Processing Systems35, 24991–25004 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.19827","last_updated":"2026-06-18T06:11:58Z","snapshot_observed_at":"2026-08-08T01:36:20.585388Z","submitted_at":"2026-06-18T06:11:58Z","title":"When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-26T18:07:54.436008Z"},"links":{"citing_paper":"/paper/2606.19827"},"observation_digest":"sha256:a8835087a9af601aaf6ae8fede67882764eee7d8373d2eb6d2289de64d0987f2","observation_id":"26d9b22e-47e6-44e0-b9a0-d4e1c0c38c0f","resolution":{"observed_at":"2026-06-26T18:07:54.436008Z","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":"2026-06-26T18:07:54.436008Z","title":"Advances in neural information processing systems34, 18932–18943 (2021) 10 D","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.19827","last_updated":"2026-06-18T06:11:58Z","snapshot_observed_at":"2026-08-08T01:36:20.585388Z","submitted_at":"2026-06-18T06:11:58Z","title":"When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-26T18:07:54.436008Z"},"links":{"citing_paper":"/paper/2606.19827"},"observation_digest":"sha256:73d468dc8e85a83166faa8dc513ffab87d187fcd046b4c75c1264d11c2763b17","observation_id":"51b14e61-aa16-4bd1-a108-2fe6f7d98899","resolution":{"observed_at":"2026-06-26T18:07:54.436008Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.08815","last_updated":"2022-07-18T08:36:08Z","snapshot_observed_at":"2026-08-14T00:00:41.234762Z","submitted_at":"2022-07-18T08:36:08Z","title":"Why do tree-based models still outperform deep learning on tabular data?","version":1},"cited_work":{"arxiv_id":"2207.08815","doi":"10.48550/arxiv.2207.08815","metadata_source":"pith","pith_arxiv_id":"2207.08815","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"doi:10.48550/arXiv.2207.08815 , urldate =","venue":"cs.LG","work_id":"5571d287-82fd-45cd-a991-34c7a4f4a3ea","year":2022},"citing_paper":{"arxiv_id":"2606.19827","last_updated":"2026-06-18T06:11:58Z","snapshot_observed_at":"2026-08-08T01:36:20.585388Z","submitted_at":"2026-06-18T06:11:58Z","title":"When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-26T18:07:54.436008Z"},"links":{"cited_paper":"/paper/2207.08815","citing_paper":"/paper/2606.19827"},"observation_digest":"sha256:1f09527cb425857b1c2c713d48d638b1d845e7d174950f0a7aa974c28e6b048d","observation_id":"a6250934-2188-472e-87b1-b2bc17edd02a","resolution":{"observed_at":"2026-07-04T03:29:29.315325Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:13.693847+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:13.693847+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T18:07:54.436008Z","title":"JMIR Formative Research5(11), e33124 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.19827","last_updated":"2026-06-18T06:11:58Z","snapshot_observed_at":"2026-08-08T01:36:20.585388Z","submitted_at":"2026-06-18T06:11:58Z","title":"When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-26T18:07:54.436008Z"},"links":{"citing_paper":"/paper/2606.19827"},"observation_digest":"sha256:5d20949a58f8c5bf1daca3f420439105c6ca0773ef842ac4f1d592cc31ac114c","observation_id":"0311d5f2-a2ec-4fb6-960d-a00e3322395e","resolution":{"observed_at":"2026-06-26T18:07:54.436008Z","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":"2026-06-26T18:07:54.436008Z","title":"In: International Conference on Machine Learning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.19827","last_updated":"2026-06-18T06:11:58Z","snapshot_observed_at":"2026-08-08T01:36:20.585388Z","submitted_at":"2026-06-18T06:11:58Z","title":"When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-26T18:07:54.436008Z"},"links":{"citing_paper":"/paper/2606.19827"},"observation_digest":"sha256:22814d4586212d732d9299746e4bbf332f7a7592412ce41e7e7313a39e4237cf","observation_id":"4d96a44f-fba7-4c96-bdea-be6af245b724","resolution":{"observed_at":"2026-06-26T18:07:54.436008Z","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":"2026-06-26T18:07:54.436008Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.19827","last_updated":"2026-06-18T06:11:58Z","snapshot_observed_at":"2026-08-08T01:36:20.585388Z","submitted_at":"2026-06-18T06:11:58Z","title":"When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-26T18:07:54.436008Z"},"links":{"citing_paper":"/paper/2606.19827"},"observation_digest":"sha256:19c3fbb8922c16c4e29c7276488209aab0868336d9fa6e9c8ee4b722af3ec378","observation_id":"62797057-cabd-4cb0-a0f7-fbcacc538255","resolution":{"observed_at":"2026-06-26T18:07:54.436008Z","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":"2026-06-26T18:07:54.436008Z","title":"Australian & New Zealand Journal of Psychiatry 40(8), 616–622 (2006)","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2606.19827","last_updated":"2026-06-18T06:11:58Z","snapshot_observed_at":"2026-08-08T01:36:20.585388Z","submitted_at":"2026-06-18T06:11:58Z","title":"When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-26T18:07:54.436008Z"},"links":{"citing_paper":"/paper/2606.19827"},"observation_digest":"sha256:d9854004b7551083a453a5fe306dafd72007fb2d29a02701b6005ecf637e61f0","observation_id":"3eb75f68-dfb8-49d7-93f8-832e4228ae93","resolution":{"observed_at":"2026-06-26T18:07:54.436008Z","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":"2026-06-26T18:07:54.436008Z","title":"In: Proceedings of the IEEE conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.19827","last_updated":"2026-06-18T06:11:58Z","snapshot_observed_at":"2026-08-08T01:36:20.585388Z","submitted_at":"2026-06-18T06:11:58Z","title":"When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-26T18:07:54.436008Z"},"links":{"citing_paper":"/paper/2606.19827"},"observation_digest":"sha256:0fcec85da457a6a168e81cbf1802fcabe374b132f29afc0c5a8444c14de9d439","observation_id":"08f3827e-f14b-466c-b6f9-ac3622f29216","resolution":{"observed_at":"2026-06-26T18:07:54.436008Z","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":"2026-06-26T18:07:54.436008Z","title":"Advances in neural information pro- cessing systems31(2018)","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.19827","last_updated":"2026-06-18T06:11:58Z","snapshot_observed_at":"2026-08-08T01:36:20.585388Z","submitted_at":"2026-06-18T06:11:58Z","title":"When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-26T18:07:54.436008Z"},"links":{"citing_paper":"/paper/2606.19827"},"observation_digest":"sha256:e1b4943131530019a88f165c7f3d54073142d8673dcb72e98138f83076fedc10","observation_id":"e118149d-a4a2-4bb2-a1ee-9e9def191492","resolution":{"observed_at":"2026-06-26T18:07:54.436008Z","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":"2026-06-26T18:07:54.436008Z","title":"In: International conference on machine learning","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.19827","last_updated":"2026-06-18T06:11:58Z","snapshot_observed_at":"2026-08-08T01:36:20.585388Z","submitted_at":"2026-06-18T06:11:58Z","title":"When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-26T18:07:54.436008Z"},"links":{"citing_paper":"/paper/2606.19827"},"observation_digest":"sha256:ea3af47c8d0f6869c330b8e5e8478485e5460c77b813993175dddff39e6d7d24","observation_id":"0c9523d8-81a9-4f44-8284-b646d39c623b","resolution":{"observed_at":"2026-06-26T18:07:54.436008Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.03208","last_updated":"2022-07-12T11:56:17Z","snapshot_observed_at":"2026-08-14T00:20:13.907631Z","submitted_at":"2022-07-07T10:29:31Z","title":"Revisiting Pretraining Objectives for Tabular Deep Learning","version":2},"cited_work":{"arxiv_id":"2207.03208","doi":null,"metadata_source":"pith","pith_arxiv_id":"2207.03208","snapshot_observed_at":"2026-07-07T14:03:48.741144Z","title":"arXiv preprint arXiv:2207.03208 , year=","venue":"cs.LG","work_id":"ffe38532-b405-4584-99b1-634c2d307431","year":2022},"citing_paper":{"arxiv_id":"2606.19827","last_updated":"2026-06-18T06:11:58Z","snapshot_observed_at":"2026-08-08T01:36:20.585388Z","submitted_at":"2026-06-18T06:11:58Z","title":"When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-26T18:07:54.436008Z"},"links":{"cited_paper":"/paper/2207.03208","citing_paper":"/paper/2606.19827"},"observation_digest":"sha256:04ccb274c5d385032ecf92e0afd6fd0245bf4d0b84e8ec01199eef66cb8edd72","observation_id":"d4aefa22-85c4-4875-83f3-dd8710c2aaff","resolution":{"observed_at":"2026-07-04T03:29:29.311836Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T18:07:54.436008Z","title":"Information Sciences329, 921–936 (2016)","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2606.19827","last_updated":"2026-06-18T06:11:58Z","snapshot_observed_at":"2026-08-08T01:36:20.585388Z","submitted_at":"2026-06-18T06:11:58Z","title":"When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-26T18:07:54.436008Z"},"links":{"citing_paper":"/paper/2606.19827"},"observation_digest":"sha256:036d0accfc8f9db95afac73ae76eb66133422c711086e94b0708200179e54aaf","observation_id":"a9280740-eebd-427c-aed1-c0dd9887e145","resolution":{"observed_at":"2026-06-26T18:07:54.436008Z","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":"2026-06-26T18:07:54.436008Z","title":"Information fusion81, 84–90 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.19827","last_updated":"2026-06-18T06:11:58Z","snapshot_observed_at":"2026-08-08T01:36:20.585388Z","submitted_at":"2026-06-18T06:11:58Z","title":"When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-26T18:07:54.436008Z"},"links":{"citing_paper":"/paper/2606.19827"},"observation_digest":"sha256:77298a972593603c0598894616230320d24fa141996d85c720af0a58d2354923","observation_id":"b5d311d5-d2fc-47bf-9cac-0c64bd59c08c","resolution":{"observed_at":"2026-06-26T18:07:54.436008Z","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":"2026-06-26T18:07:54.436008Z","title":"NPJ digital medicine5(1), 48 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.19827","last_updated":"2026-06-18T06:11:58Z","snapshot_observed_at":"2026-08-08T01:36:20.585388Z","submitted_at":"2026-06-18T06:11:58Z","title":"When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-26T18:07:54.436008Z"},"links":{"citing_paper":"/paper/2606.19827"},"observation_digest":"sha256:dbcd4532374d5c9b3f861bacbf0419ddf18fecbf283d12ef2a91e2eb1a3010b4","observation_id":"3d506a2f-8753-49ab-a500-a2f900e4da3b","resolution":{"observed_at":"2026-06-26T18:07:54.436008Z","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":"2026-06-26T18:07:54.436008Z","title":"In: Proceedings of the 25th interna- tional conference on Machine learning","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2606.19827","last_updated":"2026-06-18T06:11:58Z","snapshot_observed_at":"2026-08-08T01:36:20.585388Z","submitted_at":"2026-06-18T06:11:58Z","title":"When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-26T18:07:54.436008Z"},"links":{"citing_paper":"/paper/2606.19827"},"observation_digest":"sha256:002994da7e95803b3c75bc7f4b8fa8fcfabce62521014e7230eac0bc6dc531b3","observation_id":"bd247e5b-24ca-4eb4-b5fd-082b6bf5d2c0","resolution":{"observed_at":"2026-06-26T18:07:54.436008Z","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":"2026-06-26T18:07:54.436008Z","title":"In: Pro- ceedings of the AAAIConference on Artificial Intelligence.vol","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.19827","last_updated":"2026-06-18T06:11:58Z","snapshot_observed_at":"2026-08-08T01:36:20.585388Z","submitted_at":"2026-06-18T06:11:58Z","title":"When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-26T18:07:54.436008Z"},"links":{"citing_paper":"/paper/2606.19827"},"observation_digest":"sha256:78954868d4c7a6a67e5ecb27d155b2f8d3241edf2b93ff6e16a9b44ff32ef410","observation_id":"d9d06f42-a8c8-4f57-ac43-56dd6a973093","resolution":{"observed_at":"2026-06-26T18:07:54.436008Z","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":"2026-06-26T18:07:54.436008Z","title":"In: Advances in Neural Information Processing Systems","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.19827","last_updated":"2026-06-18T06:11:58Z","snapshot_observed_at":"2026-08-08T01:36:20.585388Z","submitted_at":"2026-06-18T06:11:58Z","title":"When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-26T18:07:54.436008Z"},"links":{"citing_paper":"/paper/2606.19827"},"observation_digest":"sha256:6ddc4e03c3abb36166e734d37976636b659043f71ba0e3f42fa35ae0a4094316","observation_id":"868c8b5f-446b-4fbb-91e5-e2808794eae4","resolution":{"observed_at":"2026-06-26T18:07:54.436008Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2606.19827","last_updated":"2026-06-18T06:11:58Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-08T01:36:20.585388Z","submitted_at":"2026-06-18T06:11:58Z","title":"When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning"},"reference_resolution":{"displayed":25,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":23,"verified_exact":2,"verified_fuzzy":0},"total_outbound_references":25},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2606.19827."}