{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:YCQKTKTHF7NIAKNAQ6AWQFTI74","short_pith_number":"pith:YCQKTKTH","canonical_record":{"source":{"id":"2411.08849","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2024-11-13T18:29:58Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"65c40f48615f24f92c3611106f61fc6dd6459e7ff6dca43c955a9a14acf65841","abstract_canon_sha256":"f97095c3189953731073f420edf6aa6b4becbaf2f3aeed33bfad90db61c32980"},"schema_version":"1.0"},"canonical_sha256":"c0a0a9aa672fda8029a08781681668ff2a8b739136d48811b3b8a6c4bc9bc087","source":{"kind":"arxiv","id":"2411.08849","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.08849","created_at":"2026-07-05T09:35:03Z"},{"alias_kind":"arxiv_version","alias_value":"2411.08849v1","created_at":"2026-07-05T09:35:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.08849","created_at":"2026-07-05T09:35:03Z"},{"alias_kind":"pith_short_12","alias_value":"YCQKTKTHF7NI","created_at":"2026-07-05T09:35:03Z"},{"alias_kind":"pith_short_16","alias_value":"YCQKTKTHF7NIAKNA","created_at":"2026-07-05T09:35:03Z"},{"alias_kind":"pith_short_8","alias_value":"YCQKTKTH","created_at":"2026-07-05T09:35:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:YCQKTKTHF7NIAKNAQ6AWQFTI74","target":"record","payload":{"canonical_record":{"source":{"id":"2411.08849","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2024-11-13T18:29:58Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"65c40f48615f24f92c3611106f61fc6dd6459e7ff6dca43c955a9a14acf65841","abstract_canon_sha256":"f97095c3189953731073f420edf6aa6b4becbaf2f3aeed33bfad90db61c32980"},"schema_version":"1.0"},"canonical_sha256":"c0a0a9aa672fda8029a08781681668ff2a8b739136d48811b3b8a6c4bc9bc087","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:35:03.370616Z","signature_b64":"A2QtaGL6OaMjEEc5sfVEv0MFZkr9sakPqMY32foVyD9wLXotKygjZP1UPTOBwpAzURtSLN41VV8ZLx/lj56PAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c0a0a9aa672fda8029a08781681668ff2a8b739136d48811b3b8a6c4bc9bc087","last_reissued_at":"2026-07-05T09:35:03.370235Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:35:03.370235Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.08849","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:35:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"u7KTwON72dpXiax+7JqvvPevNDzoOepmRbKYGqsD+NTjFLPM7kygS2SkLKbPXZHjA9bnDVFpn932TyTl1DfLBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T07:19:47.323137Z"},"content_sha256":"ee5492535d508651756d86eda1ac87b3ca6ca5e37293248436a1f510e2e6ed06","schema_version":"1.0","event_id":"sha256:ee5492535d508651756d86eda1ac87b3ca6ca5e37293248436a1f510e2e6ed06"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:YCQKTKTHF7NIAKNAQ6AWQFTI74","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Oblique Bayesian additive regression trees","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Paul-Hieu V. Nguyen, Ryan Yee, Sameer K. Deshpande","submitted_at":"2024-11-13T18:29:58Z","abstract_excerpt":"Current implementations of Bayesian Additive Regression Trees (BART) are based on axis-aligned decision rules that recursively partition the feature space using a single feature at a time. Several authors have demonstrated that oblique trees, whose decision rules are based on linear combinations of features, can sometimes yield better predictions than axis-aligned trees and exhibit excellent theoretical properties. We develop an oblique version of BART that leverages a data-adaptive decision rule prior that recursively partitions the feature space along random hyperplanes. Using several synthe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.08849","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2411.08849/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:35:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"M9cocd2qY8nBiK9H9LvNKFxWyg8NiO+yz7dcaBwpCndv0lGrU+llHavyyPuM+QsJHXjsIjUiM5Ejkin8JjqIDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T07:19:47.323646Z"},"content_sha256":"449ad9ace11a86dbcf5149f4e74ca9fbd1d326030322e5e0a25092d693bba0a4","schema_version":"1.0","event_id":"sha256:449ad9ace11a86dbcf5149f4e74ca9fbd1d326030322e5e0a25092d693bba0a4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YCQKTKTHF7NIAKNAQ6AWQFTI74/bundle.json","state_url":"https://pith.science/pith/YCQKTKTHF7NIAKNAQ6AWQFTI74/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YCQKTKTHF7NIAKNAQ6AWQFTI74/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-20T07:19:47Z","links":{"resolver":"https://pith.science/pith/YCQKTKTHF7NIAKNAQ6AWQFTI74","bundle":"https://pith.science/pith/YCQKTKTHF7NIAKNAQ6AWQFTI74/bundle.json","state":"https://pith.science/pith/YCQKTKTHF7NIAKNAQ6AWQFTI74/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YCQKTKTHF7NIAKNAQ6AWQFTI74/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:YCQKTKTHF7NIAKNAQ6AWQFTI74","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"f97095c3189953731073f420edf6aa6b4becbaf2f3aeed33bfad90db61c32980","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2024-11-13T18:29:58Z","title_canon_sha256":"65c40f48615f24f92c3611106f61fc6dd6459e7ff6dca43c955a9a14acf65841"},"schema_version":"1.0","source":{"id":"2411.08849","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.08849","created_at":"2026-07-05T09:35:03Z"},{"alias_kind":"arxiv_version","alias_value":"2411.08849v1","created_at":"2026-07-05T09:35:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.08849","created_at":"2026-07-05T09:35:03Z"},{"alias_kind":"pith_short_12","alias_value":"YCQKTKTHF7NI","created_at":"2026-07-05T09:35:03Z"},{"alias_kind":"pith_short_16","alias_value":"YCQKTKTHF7NIAKNA","created_at":"2026-07-05T09:35:03Z"},{"alias_kind":"pith_short_8","alias_value":"YCQKTKTH","created_at":"2026-07-05T09:35:03Z"}],"graph_snapshots":[{"event_id":"sha256:449ad9ace11a86dbcf5149f4e74ca9fbd1d326030322e5e0a25092d693bba0a4","target":"graph","created_at":"2026-07-05T09:35:03Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2411.08849/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Current implementations of Bayesian Additive Regression Trees (BART) are based on axis-aligned decision rules that recursively partition the feature space using a single feature at a time. Several authors have demonstrated that oblique trees, whose decision rules are based on linear combinations of features, can sometimes yield better predictions than axis-aligned trees and exhibit excellent theoretical properties. We develop an oblique version of BART that leverages a data-adaptive decision rule prior that recursively partitions the feature space along random hyperplanes. Using several synthe","authors_text":"Paul-Hieu V. Nguyen, Ryan Yee, Sameer K. Deshpande","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2024-11-13T18:29:58Z","title":"Oblique Bayesian additive regression trees"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.08849","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:ee5492535d508651756d86eda1ac87b3ca6ca5e37293248436a1f510e2e6ed06","target":"record","created_at":"2026-07-05T09:35:03Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"f97095c3189953731073f420edf6aa6b4becbaf2f3aeed33bfad90db61c32980","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2024-11-13T18:29:58Z","title_canon_sha256":"65c40f48615f24f92c3611106f61fc6dd6459e7ff6dca43c955a9a14acf65841"},"schema_version":"1.0","source":{"id":"2411.08849","kind":"arxiv","version":1}},"canonical_sha256":"c0a0a9aa672fda8029a08781681668ff2a8b739136d48811b3b8a6c4bc9bc087","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c0a0a9aa672fda8029a08781681668ff2a8b739136d48811b3b8a6c4bc9bc087","first_computed_at":"2026-07-05T09:35:03.370235Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:35:03.370235Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"A2QtaGL6OaMjEEc5sfVEv0MFZkr9sakPqMY32foVyD9wLXotKygjZP1UPTOBwpAzURtSLN41VV8ZLx/lj56PAw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:35:03.370616Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.08849","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ee5492535d508651756d86eda1ac87b3ca6ca5e37293248436a1f510e2e6ed06","sha256:449ad9ace11a86dbcf5149f4e74ca9fbd1d326030322e5e0a25092d693bba0a4"],"state_sha256":"6669d321c57260174b23d9815cf417ec41473403e55d3b63d1d60a43132ba164"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IbcvnXA6n3m5KddL4iaULDKN/LNgrmueev10ot6rRxhKWO9VHICSyfN1xXx29rkFBVsuXvKnoAKJG3lEO8zFDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T07:19:47.329388Z","bundle_sha256":"68e6b4baa51eaceb14bdfa489b99f61475aab87ba305948a9c483f83eb2001b7"}}