{"as_of":"2026-08-10T05:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fe6406dc2902123559d7e530d68100c61b68353d8e9313fb8e4d9e45a7bbe66f","coverage":[{"denominator":37,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":37,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T05:32:59.830298Z","state":"measured"},{"denominator":37,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":37,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2602.02025/citation-record","integrity":"/paper/2602.02025/integrity","json":"/paper/2602.02025/citation-record.json","paper":"/paper/2602.02025"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T05:32:55.073187Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:55.073187Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:6f951c6d07532c25eab79de80e4731c9d1c6c5f7e2f67f6e1b222770c220636a","observation_id":"da957803-02ba-47fc-8211-99b511a2ac0d","resolution":{"observed_at":"2026-08-03T05:32:55.073187Z","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":"2026-08-03T05:32:55.173925Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:55.173925Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:0191e55302f96949e04cb41ec0f2b080fedead04d32814b1b404a1c5fdb13d51","observation_id":"da26ff8b-fc5c-4547-beda-af35c72ae7ac","resolution":{"observed_at":"2026-08-03T05:32:55.173925Z","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":"2026-08-03T05:32:55.290614Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:55.290614Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:78cc7834d39354d1dcec9a40a7a3023cc89bbbc4921a57e6bc49b5e9e19a8f9d","observation_id":"a14d15ca-a051-4b4e-b7fa-e0be875bdd89","resolution":{"observed_at":"2026-08-03T05:32:55.290614Z","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":"2026-08-03T05:32:55.449346Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:55.449346Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:8c15a64f455c06c77a6c21e1925cf34c1e1e53b77f9a876dde68937fe8e93d82","observation_id":"cf247fd4-64fc-40b2-a9da-c43be164f62a","resolution":{"observed_at":"2026-08-03T05:32:55.449346Z","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":"2026-08-03T05:32:55.563312Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:55.563312Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:35370f38196c57e7b31870882c080a389b6c370eccd38d121d44a89be000beca","observation_id":"7f59575e-796e-4aad-934b-033d22511597","resolution":{"observed_at":"2026-08-03T05:32:55.563312Z","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":"2026-08-03T05:32:55.708183Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:55.708183Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:ffe7cf88768a78c4122c7165f40d6865fb2a4cc8774acf62794bd62c29bf0a53","observation_id":"7daa1231-6a4e-4aeb-a090-844121ffdf8c","resolution":{"observed_at":"2026-08-03T05:32:55.708183Z","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":"2026-08-03T05:32:55.903592Z","title":"Dyer and Camille F","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:55.903592Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:f89843950422915a0e7c43fc3b3584b87f133f02e5d90f0a62fd20af93189b71","observation_id":"073ea468-408d-488f-85ec-cbc29296f57e","resolution":{"observed_at":"2026-08-03T05:32:55.903592Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2003.06505","last_updated":"2020-03-13T23:10:39Z","snapshot_observed_at":"2026-07-06T09:04:37.917150Z","submitted_at":"2020-03-13T23:10:39Z","title":"AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.06505","snapshot_observed_at":"2026-08-03T05:32:56.009367Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:56.009367Z"},"links":{"cited_paper":"/paper/2003.06505","citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:a8c414af11b15bb5b44a89ee31a32eeaf4ba2f038e35648803fbb07fb9f09ea5","observation_id":"37a03155-bea4-45c0-b0d9-35a0cdb0a484","resolution":{"observed_at":"2026-08-03T05:32:56.009367Z","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":"2026-08-03T05:32:56.189625Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:56.189625Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:c7d290151134849d1de5067451e461a718b79c776f62b9b78b5c042a199e2b7d","observation_id":"812559f8-c3e4-40e4-8d10-c37574bee531","resolution":{"observed_at":"2026-08-03T05:32:56.189625Z","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":"2026-08-03T05:32:56.335954Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:56.335954Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:e08b97bf2f49760d584345f895b415c2dae7f8dbc3aeec3035e03383ce676e5c","observation_id":"34a3409c-281f-4da1-b8c7-b785f8a1ac74","resolution":{"observed_at":"2026-08-03T05:32:56.335954Z","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":"2026-08-03T05:32:56.534444Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:56.534444Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:2355a89cb5fa00bea8935c3637767a07c60a6e1ae257d166cdeadd82bd5702e6","observation_id":"3748bb2a-5c12-40a2-b142-217dd5f6baa5","resolution":{"observed_at":"2026-08-03T05:32:56.534444Z","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":"2026-08-03T05:32:56.652200Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:56.652200Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:c2d56da6a27795fbdc5df969ad5d2773d23136d865a54ad32fcbc123e085f19b","observation_id":"5c7f0710-866c-48dd-8b0c-32cde8ff6de7","resolution":{"observed_at":"2026-08-03T05:32:56.652200Z","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":"2026-08-03T05:32:56.841434Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:56.841434Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:0fcf950c5fd4a2a24d841d53e812cb3fd73df0e0166ed928c911b3fb30475263","observation_id":"7f204fc6-5563-4ba5-8cae-e8f2d4ed672a","resolution":{"observed_at":"2026-08-03T05:32:56.841434Z","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":"2026-08-03T05:32:56.974976Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:56.974976Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:0f8df382ee45408512617965bd632c6e9226bcbaded3aab7ae912f89b35d8bb0","observation_id":"49a0f8a8-8931-4105-9379-18a0c55a50c3","resolution":{"observed_at":"2026-08-03T05:32:56.974976Z","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":"2026-08-03T05:32:57.108551Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:57.108551Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:53a01b788cf9e29580074c26a8d981ff0c5cd4404605d74f63250cf03c1d5443","observation_id":"dc455c08-4e67-42a6-9e09-9c6c417b3bee","resolution":{"observed_at":"2026-08-03T05:32:57.108551Z","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":"2026-08-03T05:32:57.381543Z","title":"Jeong, Zachary Chase Lipton, and Pradeep Kumar Ravikumar","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:57.381543Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:cf954c5081be80beccb7fe6db2cb8927ece558f806a33d2ddc44eaad63ae4e51","observation_id":"589d0036-5827-4fb2-a404-164c2a5cece1","resolution":{"observed_at":"2026-08-03T05:32:57.381543Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.08516","last_updated":"2025-08-27T16:33:34Z","snapshot_observed_at":"2026-08-06T07:44:37.605211Z","submitted_at":"2024-12-11T16:28:18Z","title":"SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.08516","snapshot_observed_at":"2026-08-03T05:32:57.543993Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:57.543993Z"},"links":{"cited_paper":"/paper/2412.08516","citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:54a3c0aa557d7056ee90e1c186b53ab5de76bc23a28a41dbd4e6ca2331dc8ca1","observation_id":"029203a4-5f88-434c-8549-5e12bcd893dd","resolution":{"observed_at":"2026-08-03T05:32:57.543993Z","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":"2026-08-03T05:32:57.759000Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:57.759000Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:395dd55e14a87281e7078c8b6aba97c4fa9fa3471e5258d8fc7e8fe57db45e1e","observation_id":"ca525313-d46f-4a4c-903c-6ef1c95ab955","resolution":{"observed_at":"2026-08-03T05:32:57.759000Z","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":"2026-08-03T05:32:57.936355Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:57.936355Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:d90c4f8ade03ed817b0ac943eb24e7a701139b880e20de42ec61944a30817e8f","observation_id":"617ca679-449b-451f-a8e4-4f6ffdb69850","resolution":{"observed_at":"2026-08-03T05:32:57.936355Z","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":"2026-08-03T05:32:58.140706Z","title":"Miller, and Mirek Riedewald","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:58.140706Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:74a5a66d116fec7dab41f65d5da0550af04c4df723b7eaf15c73c6062fa1744a","observation_id":"3e428fa0-0d3c-4772-8c45-c061b8c71cd2","resolution":{"observed_at":"2026-08-03T05:32:58.140706Z","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":"2026-08-03T05:32:58.286979Z","title":"Naughton, Jignesh M","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:58.286979Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:a0e5dea18e890e82d02861275bd9ad7218d0cc83ad46eca1a95fccc7ba060afb","observation_id":"1a0c0b8d-c05c-4757-b66b-707f3de1e359","resolution":{"observed_at":"2026-08-03T05:32:58.286979Z","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":"2026-08-03T05:32:58.478999Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:58.478999Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:4fb357657194637d93f597f966e2d4cc58ce9ee8bbda4ba3aa70800fa2ffd532","observation_id":"7ea8a0ed-af35-4972-9426-fbcbae47a7d9","resolution":{"observed_at":"2026-08-03T05:32:58.478999Z","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":"2026-08-03T05:32:58.654916Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:58.654916Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:3e18a61f188d7b8304dc19c7f24938b40cc7e1d542af5aa497e00642b456fd04","observation_id":"525eaf8d-9437-47ca-9ebc-97f5347adaf0","resolution":{"observed_at":"2026-08-03T05:32:58.654916Z","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":"2026-08-03T05:32:58.756941Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:58.756941Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:1d3c827519039b62e8a2f6044366ad071cf256aa9c6327f63e128af8f23834e9","observation_id":"45ffe852-cdc7-4994-a0f5-7a0a18f5a321","resolution":{"observed_at":"2026-08-03T05:32:58.756941Z","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":"2026-08-03T05:32:58.905913Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:58.905913Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:06cabc04b46280711704c09ef966b5fa99818feaafd842570ed0ff09bfa55215","observation_id":"b2634cce-743a-4313-bcd0-86645abd5c81","resolution":{"observed_at":"2026-08-03T05:32:58.905913Z","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":"2026-08-03T05:32:59.082814Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:59.082814Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:3a20e33df386f43a23704316ec834d24006c644215155b9f022387b2b7e99908","observation_id":"4ff28d82-4c65-488d-9907-a69b20414c71","resolution":{"observed_at":"2026-08-03T05:32:59.082814Z","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":"2026-08-03T05:32:59.209647Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:59.209647Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:09e7e96dd39faa7b3c9cba138ef8bd0253a03567dc97dd36a4c0a3a9c73f2793","observation_id":"6bdc03ab-e47e-4f16-8295-fac35e992297","resolution":{"observed_at":"2026-08-03T05:32:59.209647Z","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":"2026-08-03T05:32:59.266917Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:59.266917Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:ab9623638ad2c8dc1b78319af0bf900c430b628504a455525c08ba2436b9e5f9","observation_id":"fd2a9a8f-7a08-4167-bee9-7e0b382dbb42","resolution":{"observed_at":"2026-08-03T05:32:59.266917Z","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":"2026-08-03T05:32:59.323965Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:59.323965Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:0cbafe732d7a3cddb5cde7bb85bb06e5d09ec9369a426406659a61cb22b0bee6","observation_id":"dcfbf9f1-478f-4831-aaa0-98b00d3cccb6","resolution":{"observed_at":"2026-08-03T05:32:59.323965Z","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":"2026-08-03T05:32:59.369652Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:59.369652Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:e89412c12d0877c47dad4d05baa5911618891679a13123d2b82def824bb2766c","observation_id":"cb8ec5f7-defb-495c-adda-88a17dc2d70f","resolution":{"observed_at":"2026-08-03T05:32:59.369652Z","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":"2026-08-03T05:32:59.421936Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:59.421936Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:5c369d8c6296272f035ab2d436db58ca22e12243349bac423b9766d68224d403","observation_id":"384f2c78-e9ec-43d4-ac65-4f3884474aad","resolution":{"observed_at":"2026-08-03T05:32:59.421936Z","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":"2026-08-03T05:32:59.474810Z","title":null,"venue":null,"work_id":null,"year":1981},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:59.474810Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:fecaa04f8f7a3ad1deff56c065c2bb61d2ff2ba42e1618f8dca611da4dccb863","observation_id":"c920ff48-42ec-4620-8093-c2b32f1e1160","resolution":{"observed_at":"2026-08-03T05:32:59.474810Z","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":"2026-08-03T05:32:59.526907Z","title":"Alizadeh, Kangwook Lee, Jose Blanchet, Mert Pilanci, and Robert Tibshirani","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:59.526907Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:56b6aa36bbe68a85ce1450eb64fd9a425947893c392b1d9db1fe78ac445b5480","observation_id":"423ebaa4-f8d3-4fb4-8ae8-1c191a6083a3","resolution":{"observed_at":"2026-08-03T05:32:59.526907Z","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":"2026-08-03T05:32:59.789425Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:59.789425Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:ccc7308bc905edf1441dc02ca3da39741fb2e912141ee3dc7c443fe01d9149c5","observation_id":"0fd250fd-9dec-4b07-90bd-f20ffdd67915","resolution":{"observed_at":"2026-08-03T05:32:59.789425Z","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":"2026-08-03T05:32:59.830298Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:59.830298Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:10fb54f1c41db1bd8315d00f130035936bde3ae21fb082d81f5578b0b0e82317","observation_id":"106b628a-837f-4710-93cf-ce7a432f9262","resolution":{"observed_at":"2026-08-03T05:32:59.830298Z","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":"2026-08-03T05:32:57.277291Z","title":"In40th IEEE International Conference on Data Engineering (ICDE)","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:57.277291Z"},"links":{"citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:30374528fda08954f06687afaa5624c883e7382b3f76f6207380e584f597e1d8","observation_id":"6b691f9d-fad8-44e7-85ec-b0ee46f2f4d7","resolution":{"observed_at":"2026-08-03T05:32:57.277291Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.10648","last_updated":"2025-08-12T05:59:33Z","snapshot_observed_at":"2026-08-07T18:16:27.577222Z","submitted_at":"2025-02-15T02:55:22Z","title":"LLM-Lasso: A Robust Framework for Domain-Informed Feature Selection and Regularization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.10648","snapshot_observed_at":"2026-08-03T05:32:59.672327Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","version":2},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-03T05:32:59.672327Z"},"links":{"cited_paper":"/paper/2502.10648","citing_paper":"/paper/2602.02025"},"observation_digest":"sha256:881f76385ce13f2a8a921ede2728e717494c27926f2bdcdf62fff7fec792c8b1","observation_id":"be4bbc4e-f6bb-46b6-bf79-5c962d08fbae","resolution":{"observed_at":"2026-08-03T05:32:59.672327Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2602.02025","last_updated":"2026-07-20T10:29:37Z","latest_version":2,"primary_category":"cs.DB","snapshot_observed_at":"2026-08-09T20:55:33.655825Z","submitted_at":"2026-02-02T12:21:24Z","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data"},"reference_resolution":{"displayed":37,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":37,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":37},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2602.02025."}