{"as_of":"2026-08-08T16:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:18d1610940ba2d8bb9050877428dbe36cc8834599f7c12ea5c13d6bbffa5877d","coverage":[{"denominator":44,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":44,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T17:03:20.702442Z","state":"measured"},{"denominator":44,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":44,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2512.11081/citation-record","integrity":"/paper/2512.11081/integrity","json":"/paper/2512.11081/citation-record.json","paper":"/paper/2512.11081"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1186/1471-2105-10-13","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"MegaSNPHunter: A learning approach to detect disease predisposition SNPs and high level interactions in 27 REFERENCES REFERENCES genome wide association study,","venue":"BMC Bioinformatics","work_id":"54fe7414-e8d8-4417-ba79-68e479f51b36","year":2009},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:16.207195Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:1e3561a3181ae47e9335310d30ab7e4a575b776660bbdebd699f006454d18a23","observation_id":"c3807b95-0706-4fe4-90ef-62c4fcc7c874","resolution":{"observed_at":"2026-08-03T17:09:20.012235Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-03T17:03:16.317531Z","title":"SNPInterForest: A new method for detecting epistatic interactions,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:16.317531Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:cc69ac2b0707b7e7d3756a9e4a7eabf75fcc07c30da3fd1f5c74cb75bc4af118","observation_id":"29377725-9915-4c1e-9914-198bdbb5cadb","resolution":{"observed_at":"2026-08-03T17:03:16.317531Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-03T17:03:16.442429Z","title":"Random forests,","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:16.442429Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:267c3ce73da3ed6d17a5366ecbfe9f1ef1ab5e5c6474e6a1f5591da0489f7e9b","observation_id":"27b71205-a338-4b9d-8384-694a30bab977","resolution":{"observed_at":"2026-08-03T17:03:16.442429Z","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":"10.1073/pnas.1711236115","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Iterative random forests to discover predictive and stable high-order interactions,","venue":"Proceedings of the National Academy of Sciences","work_id":"ce591081-e1c9-4c2f-b1b7-d26dbc626134","year":1943},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:16.544969Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:978f7eb5f07249159d0f1066d08e39eaf3fdf2ee29c19bf4d034732699fc6181","observation_id":"9fb9c5a7-a56d-4372-a690-9dd0d1779b07","resolution":{"observed_at":"2026-08-03T17:09:19.771581Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1101/467498","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Kumbier, S","venue":"bioRxiv (Cold Spring Harbor Laboratory)","work_id":"cd778d88-169b-49c7-b38c-1772b3563579","year":2018},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:16.674475Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:1efb800daed15d87d1111112c41586fed14eb522fe69ceeb3e3f5a0df191daf4","observation_id":"3b6e82b8-dee9-4f34-99c0-59a5f4c79fa9","resolution":{"observed_at":"2026-08-03T17:09:19.601117Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1371/journal.pone.0298906","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Learning epistatic polygenic phenotypes with Boolean interactions,","venue":"PLoS ONE","work_id":"31bf4bf8-f2c0-45b8-ad3d-7ab415d3a0ba","year":2024},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:16.721855Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:d2c62c2542579b7067b3593617733883d7458b88896995d56f6620ce9259e46e","observation_id":"a2649e95-9b22-4e50-8b13-d473a1a5c141","resolution":{"observed_at":"2026-08-03T17:09:19.393049Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s44161-025-","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T17:09:18.921203Z","title":"Epistasis regulates genetic control of cardiac hypertrophy,","venue":null,"work_id":"889ac25f-0572-44ce-9581-cfc42b6def0f","year":2025},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:16.787024Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:1c54caf37121641530d03e245107696323739da6e7fa994ca85049d5403bdcf1","observation_id":"0717c48e-46f2-4ec7-8046-f69c47fb7d67","resolution":{"observed_at":"2026-08-03T17:09:19.085470Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1073/pnas.2118636119","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Provable Boolean interaction recovery from tree ensemble obtained via random forests,","venue":"Proceedings of the National Academy of Sciences","work_id":"a0500e4c-a973-42ee-a010-43e56ed77feb","year":2022},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:16.857052Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:367dfc6ec482e9ae8f016fb5958c335c5ac075602e8f64045c66aae72a472b66","observation_id":"33877f77-b509-4e02-b984-3f1530006540","resolution":{"observed_at":"2026-08-03T17:09:18.753633Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-03T17:03:16.925155Z","title":"Representation Properties of Networks: Kolmogorov’s Theorem Is Irrelevant,","venue":null,"work_id":null,"year":1989},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:16.925155Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:e7809ea528f9724f9ce13b352936e471601d04a940e1eea1b0e0ac526472002e","observation_id":"b828ec0b-9aab-4ebe-ac33-6e17cdc24eb2","resolution":{"observed_at":"2026-08-03T17:03:16.925155Z","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":"2026-08-03T17:03:16.986191Z","title":"“Why Should I Trust You?","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:16.986191Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:03a4a854af453bbc90812e6b974e49aa0ca9841a1f97f05eef634487f235271d","observation_id":"c5cf2469-f443-430a-9c29-a0f8db8cc9c9","resolution":{"observed_at":"2026-08-03T17:03:16.986191Z","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":"2026-08-03T17:03:17.074753Z","title":"Analysis of regression in game theory approach,","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:17.074753Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:2bba3edbf768f937835239966322c84cbfb85fcd409204a98595b5d3d97dd381","observation_id":"3637f546-2532-40e9-a31f-24ede5ca6989","resolution":{"observed_at":"2026-08-03T17:03:17.074753Z","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":"2026-08-03T17:03:17.135644Z","title":"Explaining prediction models and individual predic- tions with feature contributions,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:17.135644Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:ee07b12724e0eba82325c57db1ec2f14965ec821c567c083b5dddda2c09853d8","observation_id":"e4123282-87f1-4cd5-8ad6-fcc9b85c446c","resolution":{"observed_at":"2026-08-03T17:03:17.135644Z","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":"2026-08-03T17:03:17.208990Z","title":"A unified approach to interpreting model predictions,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:17.208990Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:7d5a4b6d11c401693ae6ae0c0c97f6803104a5fff853be72383bff121f699e6a","observation_id":"c4b00a0c-1b7a-45f8-9728-bfd8b573f813","resolution":{"observed_at":"2026-08-03T17:03:17.208990Z","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":"2026-08-03T17:03:17.288811Z","title":"An axiomatic approach to the concept of interaction among players in cooperative games,","venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:17.288811Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:39134f451e3a62813b103b0124e416c935ea939fb9294592a7fb024eb68e37d6","observation_id":"24f7618d-e157-4997-a143-b0639d622a66","resolution":{"observed_at":"2026-08-03T17:03:17.288811Z","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":"2026-08-03T17:03:17.356379Z","title":"The Shapley Taylor Interaction Index,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:17.356379Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:85792ac71d182f3b57bc0f63d8923224e1b94fda7b99bd36451634f7b7bd41e5","observation_id":"7cd81b9b-6c04-403e-b924-c8cf5d699756","resolution":{"observed_at":"2026-08-03T17:03:17.356379Z","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":"2026-08-03T17:03:17.382103Z","title":"From Shapley Values to Generalized Additive Models and back,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:17.382103Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:c14dffb9b8f011a5e66f16449adf2816cb2c5d79e10d7e6fc5d596f91bc659e3","observation_id":"de7124b9-0406-4bf1-ace3-3fc9a0400121","resolution":{"observed_at":"2026-08-03T17:03:17.382103Z","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":"2026-08-03T17:03:17.461371Z","title":"Faith-Shap: The Faithful Shapley Interaction Index,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:17.461371Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:63de9868fff1d32f1bb9a567f995753ab6ff1c95a461917590aeed1205519103","observation_id":"8904adf5-3507-4114-992b-4bc131c63178","resolution":{"observed_at":"2026-08-03T17:03:17.461371Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.08928","last_updated":"2026-05-27T15:47:04Z","snapshot_observed_at":"2026-08-07T04:56:35.582873Z","submitted_at":"2025-06-10T15:51:27Z","title":"Local MDI+: Local Feature Importances for Tree-Based Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.08928","snapshot_observed_at":"2026-08-03T17:03:17.575149Z","title":"Liang, Z","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:17.575149Z"},"links":{"cited_paper":"/paper/2506.08928","citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:b96ae0e04c6b40e6b28699534aa81dc4daaf51d7ec25570d25771efe6351576a","observation_id":"2766a61a-6007-4e2b-a00d-e1b1bee28f39","resolution":{"observed_at":"2026-08-03T17:03:17.575149Z","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":"2026-08-03T17:03:17.721381Z","title":"From local explanations to global understanding with explain- able AI for trees,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:17.721381Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:335d88121aff27ae8ec3ebd653cb6b86fb76de8a19556acdb8949b76ef7af155","observation_id":"3fcb4d43-4e76-4470-a78b-1120bf601b98","resolution":{"observed_at":"2026-08-03T17:03:17.721381Z","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":"2026-08-03T17:03:17.786202Z","title":"SHAFF: Fast and consistent SHApley eFfect estimates via random forests,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:17.786202Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:11f46de5c91d95c4cc0c3fb745c749f160063cea3dc855f32b2839857adb4a01","observation_id":"d87e52a0-1a3e-4dd4-8e24-496984479815","resolution":{"observed_at":"2026-08-03T17:03:17.786202Z","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":"2026-08-03T17:03:17.861813Z","title":"Beyond TreeSHAP: Effi- cient Computation of Any-Order Shapley Interactions for Tree Ensembles,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:17.861813Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:be9e4607b299112f5cdf054785c1bf688f198b61316059c3b65c289e63632afd","observation_id":"ff766774-0bb3-4558-a640-a1bcdf73cfc7","resolution":{"observed_at":"2026-08-03T17:03:17.861813Z","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":"2026-08-03T17:03:17.973308Z","title":"Definitions, methods, and applications in interpretable machine learning,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:17.973308Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:2573d529d4506ed860d25a12e7154c5e43bcbdb0e922e2ea7734f2214aa0f012","observation_id":"47e94cac-cdb9-4d9c-8357-7b61a9cf5d5e","resolution":{"observed_at":"2026-08-03T17:03:17.973308Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-03T17:03:18.041624Z","title":"Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:18.041624Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:7c7d8a1a3f220078e16e006dabced88c69204885f2f38261ae3e13a323a6df02","observation_id":"ec6f7613-5b27-401d-b322-46ceaf33336a","resolution":{"observed_at":"2026-08-03T17:03:18.041624Z","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":"2026-08-03T17:03:18.171117Z","title":"Interpretable Machine Learning for Discovery: Sta- tistical Challenges and Opportunities,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:18.171117Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:bb3d2138d45dceb746dd2f79576f4ca05757af1002f5a845b6fea69deedbaa59","observation_id":"d46a3209-94a4-4756-88fb-5c279d8ea6e0","resolution":{"observed_at":"2026-08-03T17:03:18.171117Z","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":"2026-08-03T17:03:18.331349Z","title":"Explaining the explainer: A first theoretical analysis of LIME,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:18.331349Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:715a874e13feb4f90bcc478c759d23b61b80afa126e3fb2a3a33481a1b009146","observation_id":"b6180a3a-fa28-41b6-98af-50680b6fbc15","resolution":{"observed_at":"2026-08-03T17:03:18.331349Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1903.05179","last_updated":"2020-03-23T19:09:03Z","snapshot_observed_at":"2026-07-06T07:38:50.575058Z","submitted_at":"2019-03-12T19:52:53Z","title":"Unbiased Measurement of Feature Importance in Tree-Based Methods","version":2},"cited_work":{"arxiv_id":"1903.05179","doi":"10.48550/arxiv.1903.05179","metadata_source":"pith","pith_arxiv_id":"1903.05179","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"Unbiased Measurement of Feature Importance in Tree-Based Methods","venue":"stat.ML","work_id":"37242241-7364-45a7-8c7d-a638d8dacc41","year":2019},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:18.454853Z"},"links":{"cited_paper":"/paper/1903.05179","citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:c04e00b94ffd863ee999458869567918e7710406e8227b996692a1eb97011bdf","observation_id":"dbbef3a2-df2a-4624-84ba-3f9c51fd2f5e","resolution":{"observed_at":"2026-08-03T17:09:18.471359Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-03T17:03:18.630610Z","title":"Unbiased variable importance for random forests,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:18.630610Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:71323e405fa6d21f62f20fb7d03dc212ecac13f7e490b38eb53d976ada2342e0","observation_id":"6932a23c-e922-4f87-8568-84429b5a6444","resolution":{"observed_at":"2026-08-03T17:03:18.630610Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/biomet/asac017","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Mean decrease accuracy for random forests: Inconsistency, and a practical solution via the Sobol-MDA,","venue":"Biometrika","work_id":"48d268d7-262c-4ffe-a7b0-a3d2b9373631","year":2022},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:18.764671Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:c42f8c22c7fef2e8b516b8e18a9a5a73ae3763ab510d43d7b2b63cfe4bdbbe4c","observation_id":"0ad123ad-b010-4be2-bf81-5bf02db9b50d","resolution":{"observed_at":"2026-08-03T17:09:18.187591Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-03T17:03:18.862588Z","title":"Statistical Inference for Variable Importance,","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:18.862588Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:cdda5008fb2871699fdbaa5db5ffb59d278c547d506278dc6b8684404927ad9f","observation_id":"bb6c7bd4-ca48-44ad-b220-468ef7928f0b","resolution":{"observed_at":"2026-08-03T17:03:18.862588Z","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":"2026-08-03T17:03:19.032584Z","title":"A General Framework for Inference on Algorithm-Agnostic Variable Importance,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:19.032584Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:7611103c86ffbca71f3a234d6f2d025da774c49ab117c5ee08dffb9e5095139a","observation_id":"1681cfe6-f49a-4f29-a919-a4cbb664b48e","resolution":{"observed_at":"2026-08-03T17:03:19.032584Z","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":"10.1007/s10994-021-06030-6","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Testing conditional independence in supervised learning algorithms,","venue":"Machine Learning","work_id":"f2c039bc-c7d8-4a10-be92-0da42d05b52c","year":2021},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:19.154097Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:d236469654a178e7322697e861838a32d7397f0857bd749a1ee9e5026b64ab71","observation_id":"45d961b5-204f-4289-9637-91b85dd9058d","resolution":{"observed_at":"2026-08-03T17:09:17.909123Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-03T17:03:19.276724Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:19.276724Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:f08ec8b89a235cfffc70af6a6875c02915df3c774edfc1c8d9add03e0d7e2ef1","observation_id":"5db4cd71-230c-4857-985d-d626b6cee7c9","resolution":{"observed_at":"2026-08-03T17:03:19.276724Z","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":"10.1214/20-ejs1792","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"SIRUS: Stable and Interpretable RUle Set for classification,","venue":"Electronic Journal of Statistics","work_id":"584575d8-1b02-47a2-bf98-250a533d40f1","year":2021},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:19.429903Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:8bdf91c977f435deeaf411cf0faaece2198167782b39962e090d9393e3ab7569","observation_id":"029da6b0-766f-4a06-93d6-0d3a2ed03283","resolution":{"observed_at":"2026-08-03T17:09:17.370457Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-03T17:03:19.593502Z","title":"Breiman, J","venue":null,"work_id":null,"year":1984},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:19.593502Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:c98ba425157265c9c3fb7ee4cf15360dbf8a03c6b275cfd17324a4b432d2a7d8","observation_id":"9baf8cdd-2937-46f5-bc03-4ae89dcc31f6","resolution":{"observed_at":"2026-08-03T17:03:19.593502Z","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":"2026-08-03T17:03:19.725706Z","title":"Large Scale Prediction with Decision Trees,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:19.725706Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:e21095ada7032c722acc59332b03356ae016abbd94186280227544ff19195ab1","observation_id":"95c671bf-4dd0-4a01-800d-c24f64b7db25","resolution":{"observed_at":"2026-08-03T17:03:19.725706Z","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":"2026-08-03T17:03:19.831964Z","title":"Analysis of a random forests model,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:19.831964Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:b6b7b5b8c47f0ff656ffc66d4e85396ae80f12d55f80dbe3d6b492c9a452d34a","observation_id":"aea51868-f96a-4bd7-85c0-64d934ecee1d","resolution":{"observed_at":"2026-08-03T17:03:19.831964Z","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":"2026-08-03T17:03:19.974625Z","title":"Estimation and Inference of Heterogeneous Treatment Effects using Random Forests,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:19.974625Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:6548ece636a933e87f394e66edc30c1332e5a395aa03c019aff658cb566d2a30","observation_id":"63a9b4fb-974f-4bbd-ac3f-e019db18e62a","resolution":{"observed_at":"2026-08-03T17:03:19.974625Z","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":"2026-08-03T17:03:20.050642Z","title":"Scikit-learn: Machine Learning in Python,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:20.050642Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:c04674a406cf7d505e8b1500a49af9d3b9ca16f8cc7ad518837848c961bce28f","observation_id":"a352ab41-b15d-4e59-baf8-5bcc6f99798e","resolution":{"observed_at":"2026-08-03T17:03:20.050642Z","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":"2026-08-03T17:03:20.127387Z","title":"How we analyzed the COMPAS re- cidivism algorithm,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:20.127387Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:48e8cd1ddfc2dbd32742372a021758a5ef05cc605ff626fed6e269de115f26e4","observation_id":"ea3bd3ac-e372-422e-b27e-167a9541e1aa","resolution":{"observed_at":"2026-08-03T17:03:20.127387Z","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":"2026-08-03T17:03:20.190881Z","title":"All Models are Wrong, but Many are Useful: Learning a Variable’s Importance by Studying an Entire Class of Prediction Models Simultaneously,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:20.190881Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:9778535646c3cb6ce244f9da260e33bd6c57a62b9d3fb01609e7d35a31a6c302","observation_id":"54454f98-52ba-45c6-bcd3-5a026c328a80","resolution":{"observed_at":"2026-08-03T17:03:20.190881Z","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":"2026-08-03T17:03:20.360477Z","title":"Decomposing Global Feature Effects Based on Feature Interactions,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:20.360477Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:c54e6b76b72a8807246f9dbc29ba8a19c0b83e74eb20e7943c49654935d28e71","observation_id":"18898eee-6047-4f63-916b-59646f6823f9","resolution":{"observed_at":"2026-08-03T17:03:20.360477Z","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":"2026-08-03T17:03:20.546324Z","title":"ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:20.546324Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:86f09a6b45356fce5b516b89218b53787daa3de23cbca74d17b35c40b2acf2a5","observation_id":"416055c1-ad1a-40c9-bf0f-52c4b14abba0","resolution":{"observed_at":"2026-08-03T17:03:20.546324Z","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":"2026-08-03T17:03:20.702442Z","title":"Hyperparameters and tuning strategies for random forest,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:20.702442Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:540a4a3f1ee386a3979fa416ba4ec5810c8616a9a7db9dbb4732d215956f0bfb","observation_id":"b11a2feb-57c7-45aa-8a35-1e729ac9084e","resolution":{"observed_at":"2026-08-03T17:03:20.702442Z","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":"2026-08-03T17:03:20.247319Z","title":"Available:http://jmlr.org/papers/v20/18-760.html","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest","version":2},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-03T17:03:20.247319Z"},"links":{"citing_paper":"/paper/2512.11081"},"observation_digest":"sha256:b95a3060375cfd8acd63cbe67e133ed34f461e6c391ed6ead38da11554b872b0","observation_id":"4abefa79-8ba0-4a98-8d74-a2b9269498ee","resolution":{"observed_at":"2026-08-03T17:03:20.247319Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2512.11081","last_updated":"2026-06-10T08:49:38Z","latest_version":2,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-03T17:03:14.948469Z","submitted_at":"2025-12-11T19:53:15Z","title":"Provable Recovery of Locally Important Signed Features and Interactions from Random Forest"},"reference_resolution":{"displayed":44,"state_counts":{"malformed_identifier":4,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":31,"verified_exact":9,"verified_fuzzy":0},"total_outbound_references":44},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2512.11081."}