{"as_of":"2026-08-18T00:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:18fe45ad3cbe00acb8352c794f871502350462d968e03274e157db5b328fa031","coverage":[{"denominator":30,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":30,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T13:39:50.822455Z","state":"measured"},{"denominator":33,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":33,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T18:04:28.716353Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-21T22:05:41.449490Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models","version":1},"cited_work":{"arxiv_id":"2501.16247","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.16247","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Zero-shot decision tree construction via large language models","venue":null,"work_id":"4b86190e-d988-43c5-87d0-f82f6078059a","year":2025},"citing_paper":{"arxiv_id":"2509.21465","last_updated":"2026-05-15T11:35:18Z","snapshot_observed_at":"2026-08-16T23:38:46.600327Z","submitted_at":"2025-09-25T19:30:39Z","title":"Talking Trees: Reasoning-Assisted Induction of Decision Trees for Tabular Data","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-21T22:05:11.146329Z"},"links":{"cited_paper":"/paper/2501.16247","citing_paper":"/paper/2509.21465"},"observation_digest":"sha256:7ffd7830887433d8c20dd0453838697c3daff9953c11e080b14516a12118322c","observation_id":"9391711a-460a-420f-ae54-fe6c106fea8d","resolution":{"observed_at":"2026-05-21T22:05:41.452969Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.16247","snapshot_observed_at":"2026-08-03T18:04:28.716353Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2512.07246","last_updated":"2026-07-29T04:24:14Z","snapshot_observed_at":"2026-08-17T01:25:29.084642Z","submitted_at":"2025-12-08T07:40:48Z","title":"Ensembling LLM-Induced Decision Trees for Explainable and Robust Error Detection","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-03T18:04:28.716353Z"},"links":{"cited_paper":"/paper/2501.16247","citing_paper":"/paper/2512.07246"},"observation_digest":"sha256:3dc853260cb6dcdbaaf41374b46b3a819f02ca8170efe7afd4db125abea2ed63","observation_id":"13542a8d-b16b-4046-b924-b5aea35947d2","resolution":{"observed_at":"2026-08-03T18:04:28.716353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models","version":1},"cited_work":{"arxiv_id":"2501.16247","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.16247","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Zero-shot decision tree construction via large language models","venue":null,"work_id":"4b86190e-d988-43c5-87d0-f82f6078059a","year":2025},"citing_paper":{"arxiv_id":"2604.09418","last_updated":"2026-04-10T15:28:05Z","snapshot_observed_at":"2026-08-14T23:52:57.839575Z","submitted_at":"2026-04-10T15:28:05Z","title":"Automated Instruction Revision (AIR): A Structured Comparison of Task Adaptation Strategies for LLM","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-10T17:27:37.081594Z"},"links":{"cited_paper":"/paper/2501.16247","citing_paper":"/paper/2604.09418"},"observation_digest":"sha256:eba0339c09421dbf0e9f63bc38779e3171fad4a299d63d30eaa0874e686bdedf","observation_id":"389d308c-f986-4f57-ab31-73bc04b2ea99","resolution":{"observed_at":"2026-05-11T06:46:30.414405Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2501.16247/citation-record","integrity":"/paper/2501.16247/integrity","json":"/paper/2501.16247/citation-record.json","paper":"/paper/2501.16247"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T13:39:51.174405Z","title":null,"venue":null,"work_id":"711f2d0b-5109-482f-866e-22cea55cf376","year":2021},"citing_paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T13:39:50.715365Z"},"links":{"citing_paper":"/paper/2501.16247"},"observation_digest":"sha256:7dcf157dd090edaaf22ab44cd745588e62f152822231283581f46f9fd8d99212","observation_id":"03bea95a-652a-4d7f-9d0b-f96e223a405f","resolution":{"observed_at":"2026-08-10T13:39:51.178112Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T13:39:51.110390Z","title":"Advances in Neural Information Processing Systems 35 (2022), 11763–11784","venue":null,"work_id":"1cea27d4-6057-4c03-8e65-d20fe0376712","year":2022},"citing_paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T13:39:50.747575Z"},"links":{"citing_paper":"/paper/2501.16247"},"observation_digest":"sha256:cb59487fde5280d7651db55d1c8b2a1cee3fba030a424200e6415d2ed30c06d2","observation_id":"e58c9d9e-6890-4390-84fd-facc7381270f","resolution":{"observed_at":"2026-08-10T13:39:51.113750Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T13:39:51.100373Z","title":"[Hegselmann et al.(2023)] Stefan Hegselmann, Alejandro Buendia, Hunter Lang, Monica Agrawal, Xiaoyi Jiang, and David Sontag","venue":null,"work_id":"848676a4-31f8-43bf-a286-89092f6b03e3","year":2022},"citing_paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T13:39:50.751006Z"},"links":{"citing_paper":"/paper/2501.16247"},"observation_digest":"sha256:29ddd85cdaf120b21ab5e787ad11e24e9872d1544faa9033682a1fd46d97799d","observation_id":"96084827-8423-4a05-aaae-1b2e780adfca","resolution":{"observed_at":"2026-08-10T13:39:51.103843Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T13:39:51.090419Z","title":"In International Conference on Artificial Intelligence and Statistics","venue":null,"work_id":"42324c47-a538-4599-9586-32e19d22b893","year":2022},"citing_paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T13:39:50.754445Z"},"links":{"citing_paper":"/paper/2501.16247"},"observation_digest":"sha256:d7d0c603da890d6772c459e2237579f5ae1d0f7ee1631626987a278066cd1259","observation_id":"56b9d623-9f21-4487-ad97-8831bcccf264","resolution":{"observed_at":"2026-08-10T13:39:51.093824Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2207.01848","last_updated":"2023-09-16T09:33:32Z","snapshot_observed_at":"2026-08-16T22:29:42.020081Z","submitted_at":"2022-07-05T07:17:43Z","title":"TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.01848","snapshot_observed_at":"2026-08-10T13:39:50.757845Z","title":"arXiv preprint arXiv:2207.01848 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T13:39:50.757845Z"},"links":{"cited_paper":"/paper/2207.01848","citing_paper":"/paper/2501.16247"},"observation_digest":"sha256:ee981d2b9a7bcd278d849f0e44ff9cf2701c9c80de46a1776bae5ddd433e152e","observation_id":"0ea8caa9-92f7-41de-86b5-a004610c381b","resolution":{"observed_at":"2026-08-10T13:39:50.757845Z","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":"2026-08-10T13:39:51.079568Z","title":"Advances in neural information processing systems 30 (2017)","venue":null,"work_id":"d568d995-7308-4d9f-a943-0401f09d97f3","year":2017},"citing_paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T13:39:50.761626Z"},"links":{"citing_paper":"/paper/2501.16247"},"observation_digest":"sha256:9e694b504299e60de438e35d7ca2352af050d029475356678adb5fc527cf85a7","observation_id":"bcf187da-3e8c-4d7d-ab72-2e492c381035","resolution":{"observed_at":"2026-08-10T13:39:51.083461Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T13:39:51.045756Z","title":"ACM computing surveys (CSUR) 54, 6 (2021), 1–35","venue":null,"work_id":"f517be24-d794-4882-a89b-0bf67481b952","year":2021},"citing_paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T13:39:50.772423Z"},"links":{"citing_paper":"/paper/2501.16247"},"observation_digest":"sha256:873387c36fcb2b095643e152fe58086ede9aa9fd5cb63847fa82763ac98fc959","observation_id":"6fe14198-7b5c-42f5-9994-d67e39e24817","resolution":{"observed_at":"2026-08-10T13:39:51.049435Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T13:39:51.034228Z","title":null,"venue":null,"work_id":"fbdb2779-3236-4a8f-9402-10f52d1e826b","year":2012},"citing_paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T13:39:50.775959Z"},"links":{"citing_paper":"/paper/2501.16247"},"observation_digest":"sha256:79ae3cca3cba5078447dbf515b3ca53b51e76646960f30964881521701ff6e39","observation_id":"a360067e-fc2a-4246-8ff9-48a384c4d07c","resolution":{"observed_at":"2026-08-10T13:39:51.038029Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T13:39:51.010881Z","title":"Journal of machine learning research21, 140 (2020), 1–67","venue":null,"work_id":"9db0485f-62b0-4537-87ed-f988481fe983","year":2020},"citing_paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T13:39:50.786520Z"},"links":{"citing_paper":"/paper/2501.16247"},"observation_digest":"sha256:dd048eb030511e1011d3359e3727f12f337ba0405238136feb13aa430772cbbf","observation_id":"24641b65-4304-4de5-9d88-69b9b9bdf5f1","resolution":{"observed_at":"2026-08-10T13:39:51.014850Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T13:39:50.998251Z","title":"In International Conference on Learning Representations","venue":null,"work_id":"4c93fde2-7bbd-42a9-a4d8-ca03a57c4288","year":2022},"citing_paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T13:39:50.790029Z"},"links":{"citing_paper":"/paper/2501.16247"},"observation_digest":"sha256:2249b4bc4d46c49a71f8d3e5452b70b5d2b94f84a223c18dbd95730277fa35c9","observation_id":"b5bf3f58-502b-4716-bb9b-75da6936b721","resolution":{"observed_at":"2026-08-10T13:39:51.002708Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T13:39:50.985559Z","title":"Information Fusion 81 (2022), 84–90","venue":null,"work_id":"96f247c4-2292-4fac-bdeb-01ac4b309483","year":2022},"citing_paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T13:39:50.793890Z"},"links":{"citing_paper":"/paper/2501.16247"},"observation_digest":"sha256:b748ff21115d7c98e08d103fc60436231e46f9d818cdbc7d04f355a07e11676d","observation_id":"a31de9df-f577-40db-ac8a-d7b6cf461b09","resolution":{"observed_at":"2026-08-10T13:39:50.989323Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.01342","last_updated":"2021-06-02T17:51:05Z","snapshot_observed_at":"2026-08-16T18:20:11.383711Z","submitted_at":"2021-06-02T17:51:05Z","title":"SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.01342","snapshot_observed_at":"2026-08-10T13:39:50.797465Z","title":"arXiv preprint arXiv:2106.01342 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T13:39:50.797465Z"},"links":{"cited_paper":"/paper/2106.01342","citing_paper":"/paper/2501.16247"},"observation_digest":"sha256:cf58503fe759d65f28a0aa5bfe1999e4d7df14b7f6c7a7eaa9f4d7158a3967e5","observation_id":"1fae379f-3456-483c-b208-0c70f38309a2","resolution":{"observed_at":"2026-08-10T13:39:50.797465Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.02059","last_updated":"2024-11-07T03:32:44Z","snapshot_observed_at":"2026-08-16T13:03:12.263330Z","submitted_at":"2024-11-04T13:03:13Z","title":"TableGPT2: A Large Multimodal Model with Tabular Data Integration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.02059","snapshot_observed_at":"2026-08-10T13:39:50.801231Z","title":"arXiv preprint arXiv:2411.02059 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T13:39:50.801231Z"},"links":{"cited_paper":"/paper/2411.02059","citing_paper":"/paper/2501.16247"},"observation_digest":"sha256:03f28bcebe6e7fbbd08c9f7d1e8156fab6941327dda6dbb15dd3874b2406ac4b","observation_id":"68980f3f-f440-4dab-a922-599858ec497d","resolution":{"observed_at":"2026-08-10T13:39:50.801231Z","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":"2026-08-10T13:39:50.973513Z","title":"Advances in Neural Information Processing Systems (2017)","venue":null,"work_id":"c585d98d-8122-4386-8353-505848496ddf","year":2017},"citing_paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T13:39:50.805160Z"},"links":{"citing_paper":"/paper/2501.16247"},"observation_digest":"sha256:f54bfc9f8533025ddc5ee917c27424360ab22e03b576abb2d387259da4a00aa5","observation_id":"10042a09-67ca-4cf7-a44b-52f2bf0727b4","resolution":{"observed_at":"2026-08-10T13:39:50.977480Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T13:39:50.960894Z","title":"Advances in Neural Information Processing Systems 35 (2022), 2902–2915","venue":null,"work_id":"ff00ad87-4fd2-44d3-91dd-5e65850604ad","year":2022},"citing_paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T13:39:50.808734Z"},"links":{"citing_paper":"/paper/2501.16247"},"observation_digest":"sha256:c4029f6a0f60790887ff02e22af75b58580e1f55743e4c410825bc7908206a3e","observation_id":"85c6d445-a48f-4be3-9923-9a135d1bb499","resolution":{"observed_at":"2026-08-10T13:39:50.964958Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T13:39:50.949196Z","title":"In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","venue":null,"work_id":"a71b5555-15ad-40c8-a887-4f5146f9f55a","year":2024},"citing_paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T13:39:50.812439Z"},"links":{"citing_paper":"/paper/2501.16247"},"observation_digest":"sha256:f8877b8444c41f09e74d1d1f6c19dc7f5e310dd7337004240b4c8aaf87b0fc94","observation_id":"01dcc3c8-745a-416d-ac01-fabc9887030d","resolution":{"observed_at":"2026-08-10T13:39:50.952875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T13:39:50.936558Z","title":"In The Twelfth International Conference on Learning Representations","venue":null,"work_id":"8037ce3a-8649-47d3-aeb6-d94e036a32f0","year":2020},"citing_paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T13:39:50.815886Z"},"links":{"citing_paper":"/paper/2501.16247"},"observation_digest":"sha256:beae25924e2dface9578cfad876118929642ba35d84956bac29210fa8233b085","observation_id":"651135a8-4947-4da4-bc74-32a705b70cd0","resolution":{"observed_at":"2026-08-10T13:39:50.941699Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.09696","last_updated":"2023-05-16T06:37:38Z","snapshot_observed_at":"2026-08-17T15:05:14.044644Z","submitted_at":"2023-05-16T06:37:38Z","title":"Generative Table Pre-training Empowers Models for Tabular Prediction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.09696","snapshot_observed_at":"2026-08-10T13:39:50.818838Z","title":"InProceedings of the 58th Annual Meeting of the Association for Computational Linguistics","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T13:39:50.818838Z"},"links":{"cited_paper":"/paper/2305.09696","citing_paper":"/paper/2501.16247"},"observation_digest":"sha256:83d9d4edce76aa4f134b3238ced3726a6a9623e06d3eea2c59905340b4011c80","observation_id":"95335a60-0b37-4c7b-a6dc-9a9124dc2c54","resolution":{"observed_at":"2026-08-10T13:39:50.818838Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03774","last_updated":"2024-08-23T19:56:36Z","snapshot_observed_at":"2026-08-16T14:21:07.260807Z","submitted_at":"2024-02-06T07:40:53Z","title":"Learning a Decision Tree Algorithm with Transformers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.03774","snapshot_observed_at":"2026-08-10T13:39:50.822455Z","title":"arXiv preprint arXiv:2402.03774 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T13:39:50.822455Z"},"links":{"cited_paper":"/paper/2402.03774","citing_paper":"/paper/2501.16247"},"observation_digest":"sha256:db6598a46e6ff79d26a7179ab72da2183a7a022e5402d2b9f80c2bcab1b06778","observation_id":"9e2f94d8-0254-4c06-aaf3-486d8031198a","resolution":{"observed_at":"2026-08-10T13:39:50.822455Z","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":"2026-08-10T13:39:51.163690Z","title":null,"venue":null,"work_id":"c983a50d-7c8f-4f86-b442-fb26b96e6b54","year":2021},"citing_paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T13:39:50.720101Z"},"links":{"citing_paper":"/paper/2501.16247"},"observation_digest":"sha256:b90b5563af538a04bfffc797caf1c6e7d9846e467bd579466812a01f06b5886a","observation_id":"b4f190bf-fe21-4c8c-9cd8-13100f5c7fa1","resolution":{"observed_at":"2026-08-10T13:39:51.167196Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T13:39:50.779519Z","title":"Journal of Machine Learning Research 12 (2012), 2825–2830","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models","version":1},"reference_index":2012,"source":"pdf_text","source_observed_at":"2026-08-10T13:39:50.779519Z"},"links":{"citing_paper":"/paper/2501.16247"},"observation_digest":"sha256:18044ae64426bdf73019a72d4afa054e2be18df43c9cce659a7b15c8b5ffc417","observation_id":"20541439-1375-4847-8f1d-1059a8d5e9af","resolution":{"observed_at":"2026-08-10T13:39:50.779519Z","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":"2026-08-10T13:39:51.022374Z","title":"5: programs for machine learning","venue":null,"work_id":"b01a7aa9-b76a-4b0d-89ae-e6d0e341911b","year":2020},"citing_paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models","version":1},"reference_index":2014,"source":"pdf_text","source_observed_at":"2026-08-10T13:39:50.783083Z"},"links":{"citing_paper":"/paper/2501.16247"},"observation_digest":"sha256:d39fa15f041e91d8da3998a2762245b7b787bbc5f33d452d181f97a59f606812","observation_id":"288e9819-e743-48ca-8737-119b58b1e1da","resolution":{"observed_at":"2026-08-10T13:39:51.026073Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T13:39:51.120535Z","title":"In Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining","venue":null,"work_id":"634c9297-e249-443b-93b2-c05c049a87e6","year":2022},"citing_paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models","version":1},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-10T13:39:50.743920Z"},"links":{"citing_paper":"/paper/2501.16247"},"observation_digest":"sha256:042ced4dc40f48806b8113b513482ff3b0765adbe025f34036b620129c138a8b","observation_id":"fcf50c03-59f0-44c4-bb60-cd551af40205","resolution":{"observed_at":"2026-08-10T13:39:51.123859Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T13:39:51.141797Z","title":"Routledge","venue":null,"work_id":"56d6d492-05ca-4dfa-b792-b7f3a721613a","year":2020},"citing_paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-10T13:39:50.732194Z"},"links":{"citing_paper":"/paper/2501.16247"},"observation_digest":"sha256:c0c48af158aacf5c59a033d0d1ee34581e2ee620c2a46177d68835a411466e9f","observation_id":"6123ef1f-1cc7-43b3-ae68-8f3763dfdee3","resolution":{"observed_at":"2026-08-10T13:39:51.145580Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T13:39:51.068783Z","title":"Queue 16, 3 (2018), 31–57","venue":null,"work_id":"e6a0d6ea-d0c9-407f-91f3-60c891bb98c1","year":2018},"citing_paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-10T13:39:50.765171Z"},"links":{"citing_paper":"/paper/2501.16247"},"observation_digest":"sha256:b45875c57e1b12485c671f49f49dcf3b50ce2f53181bc368a89f51bccea0538b","observation_id":"b32ac3f2-bc4b-4b50-91e3-3ef8bb660c7e","resolution":{"observed_at":"2026-08-10T13:39:51.072529Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T13:39:51.130677Z","title":"Advances in neural information processing systems 33 (2020), 1877–1901","venue":null,"work_id":"f989e0d0-576c-4b35-9367-6ac51af58115","year":2020},"citing_paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-10T13:39:50.736151Z"},"links":{"citing_paper":"/paper/2501.16247"},"observation_digest":"sha256:3e9f1c69698d3302a6c7af8cbadf518a43ca8f913ca1fe0ca25238e15b7376a0","observation_id":"923b5d14-653b-46c0-9cce-4b36c66cd8e3","resolution":{"observed_at":"2026-08-10T13:39:51.134576Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.07258","last_updated":"2022-07-12T23:45:14Z","snapshot_observed_at":"2026-08-02T09:20:40.804790Z","submitted_at":"2021-08-16T17:50:08Z","title":"On the Opportunities and Risks of Foundation Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.07258","snapshot_observed_at":"2026-08-10T13:39:50.724128Z","title":"arXiv preprint arXiv:2108.07258 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-10T13:39:50.724128Z"},"links":{"cited_paper":"/paper/2108.07258","citing_paper":"/paper/2501.16247"},"observation_digest":"sha256:535cf1faa38c7989946b812afd46e5013a6c9a584941e4f6c9f02c163ee551bc","observation_id":"80491874-a32c-4835-a09e-e79e6b286a7f","resolution":{"observed_at":"2026-08-10T13:39:50.724128Z","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":"2026-08-10T13:39:51.152957Z","title":"IEEE transactions on neural networks and learning systems (2022)","venue":null,"work_id":"dce74a66-ef19-46e5-8414-73e09181f075","year":2022},"citing_paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-10T13:39:50.728455Z"},"links":{"citing_paper":"/paper/2501.16247"},"observation_digest":"sha256:bffef1528de89be6e97706ae4e2bd9ed47ad5b0dca0e178da6d69a2fb8805928","observation_id":"74924660-4be2-4fd1-b59d-2a30ede2eb98","resolution":{"observed_at":"2026-08-10T13:39:51.156648Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.02819","last_updated":"2024-07-25T22:27:56Z","snapshot_observed_at":"2026-08-16T16:03:53.780469Z","submitted_at":"2023-01-07T09:42:03Z","title":"ExcelFormer: A neural network surpassing GBDTs on tabular data","version":8},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.02819","snapshot_observed_at":"2026-08-10T13:39:50.740060Z","title":"arXiv preprint arXiv:2301.02819 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-10T13:39:50.740060Z"},"links":{"cited_paper":"/paper/2301.02819","citing_paper":"/paper/2501.16247"},"observation_digest":"sha256:3a06d0b11ad42dd1f9c62d77656ccd6146aa680cc2222f4767e40d03ad9890f5","observation_id":"9a2eba4b-1448-48ad-aa10-47fc08626592","resolution":{"observed_at":"2026-08-10T13:39:50.740060Z","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":"2026-08-10T13:39:51.057095Z","title":"[Mehrabi et al.(2021)] Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, and Aram Galstyan","venue":null,"work_id":"83e54352-485b-470f-aad3-3a023767a96f","year":2024},"citing_paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-10T13:39:50.768870Z"},"links":{"citing_paper":"/paper/2501.16247"},"observation_digest":"sha256:bf50529da4c6291dadd1e57b6342a65ef64c77fd4b51973bc22c00eee8dec9cb","observation_id":"8a36a28b-e56b-475a-be25-ceb4692baaf9","resolution":{"observed_at":"2026-08-10T13:39:51.061177Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.16247","last_updated":"2025-01-27T17:48:48Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-12T06:57:45.048089Z","submitted_at":"2025-01-27T17:48:48Z","title":"Zero-Shot Decision Tree Construction via Large Language Models"},"reference_resolution":{"displayed":30,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":0,"verified_fuzzy":19},"total_outbound_references":30},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 3 inbound Pith citation observations for arXiv:2501.16247."}