{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:EO43TWHTTAGYAVBNU5F22MVRXX","short_pith_number":"pith:EO43TWHT","canonical_record":{"source":{"id":"1905.03735","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2019-05-09T16:26:40Z","cross_cats_sorted":["stat.TH"],"title_canon_sha256":"fc893b274b6c1761d921305b7d2b41d58910468a2a39ceceba899430eaed9ad7","abstract_canon_sha256":"8d5b8a99008cf149d7a0bb20f235e38232a25192d5a376cd97089c66fb8199ce"},"schema_version":"1.0"},"canonical_sha256":"23b9b9d8f3980d80542da74bad32b1bdfe23893d3621e9e57426987d20686d4a","source":{"kind":"arxiv","id":"1905.03735","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.03735","created_at":"2026-05-17T23:46:36Z"},{"alias_kind":"arxiv_version","alias_value":"1905.03735v1","created_at":"2026-05-17T23:46:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.03735","created_at":"2026-05-17T23:46:36Z"},{"alias_kind":"pith_short_12","alias_value":"EO43TWHTTAGY","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"EO43TWHTTAGYAVBN","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"EO43TWHT","created_at":"2026-05-18T12:33:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:EO43TWHTTAGYAVBNU5F22MVRXX","target":"record","payload":{"canonical_record":{"source":{"id":"1905.03735","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2019-05-09T16:26:40Z","cross_cats_sorted":["stat.TH"],"title_canon_sha256":"fc893b274b6c1761d921305b7d2b41d58910468a2a39ceceba899430eaed9ad7","abstract_canon_sha256":"8d5b8a99008cf149d7a0bb20f235e38232a25192d5a376cd97089c66fb8199ce"},"schema_version":"1.0"},"canonical_sha256":"23b9b9d8f3980d80542da74bad32b1bdfe23893d3621e9e57426987d20686d4a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:46:36.816843Z","signature_b64":"NozPhCiG+tOo4rXig2uKLFSone/e67POKXDVEVMz2SxF/Jno5qniaEXX5sT1eAe26DAk8nUPXf6w3mBiD54yCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"23b9b9d8f3980d80542da74bad32b1bdfe23893d3621e9e57426987d20686d4a","last_reissued_at":"2026-05-17T23:46:36.816131Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:46:36.816131Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1905.03735","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":"2026-05-17T23:46:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WVNit1hg0LzjLtThcD6n11SzPYGob2TEQgLKZRZVfwR6pZng+nCMrWqGQkaUbl33S91gc1ki5w62jofVgryOBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T11:23:49.525472Z"},"content_sha256":"fea5d31a97c623d0ba0f46acd1162a74954a76579ad3d96d311d2c373dbe50cb","schema_version":"1.0","event_id":"sha256:fea5d31a97c623d0ba0f46acd1162a74954a76579ad3d96d311d2c373dbe50cb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:EO43TWHTTAGYAVBNU5F22MVRXX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"On Semi-parametric Bernstein-von Mises Theorems for BART","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.TH"],"primary_cat":"math.ST","authors_text":"Veronika Rockova","submitted_at":"2019-05-09T16:26:40Z","abstract_excerpt":"Few methods in Bayesian non-parametric statistics/ machine learning have received as much attention as Bayesian Additive Regression Trees (BART). While BART is now routinely performed for prediction tasks, its theoretical properties began to be understood only very recently. In this work, we continue the theoretical investigation of BART initiated by Rockova and van der Pas (2017). In particular, we study the Bernstein-von Mises (BvM) phenomenon (i.e. asymptotic normality) for smooth linear functionals of the regression surface within the framework of non-parametric regression with fixed covar"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.03735","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":""},"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":"2026-05-17T23:46:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VgG94MrA1s2siy2QI4FI6HEwlI6lD6vptTdwj/exCbqMVNJDDl/k0EHIbb09V5Dg1kEGZoe5itRATayGTLbLDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T11:23:49.525821Z"},"content_sha256":"f235b92326a758cc9c2ff09c57c5731ef0adb31aeeb76740b6d2d81af1b3ef00","schema_version":"1.0","event_id":"sha256:f235b92326a758cc9c2ff09c57c5731ef0adb31aeeb76740b6d2d81af1b3ef00"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EO43TWHTTAGYAVBNU5F22MVRXX/bundle.json","state_url":"https://pith.science/pith/EO43TWHTTAGYAVBNU5F22MVRXX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EO43TWHTTAGYAVBNU5F22MVRXX/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":"2026-06-01T11:23:49Z","links":{"resolver":"https://pith.science/pith/EO43TWHTTAGYAVBNU5F22MVRXX","bundle":"https://pith.science/pith/EO43TWHTTAGYAVBNU5F22MVRXX/bundle.json","state":"https://pith.science/pith/EO43TWHTTAGYAVBNU5F22MVRXX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EO43TWHTTAGYAVBNU5F22MVRXX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:EO43TWHTTAGYAVBNU5F22MVRXX","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":"8d5b8a99008cf149d7a0bb20f235e38232a25192d5a376cd97089c66fb8199ce","cross_cats_sorted":["stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2019-05-09T16:26:40Z","title_canon_sha256":"fc893b274b6c1761d921305b7d2b41d58910468a2a39ceceba899430eaed9ad7"},"schema_version":"1.0","source":{"id":"1905.03735","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.03735","created_at":"2026-05-17T23:46:36Z"},{"alias_kind":"arxiv_version","alias_value":"1905.03735v1","created_at":"2026-05-17T23:46:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.03735","created_at":"2026-05-17T23:46:36Z"},{"alias_kind":"pith_short_12","alias_value":"EO43TWHTTAGY","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"EO43TWHTTAGYAVBN","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"EO43TWHT","created_at":"2026-05-18T12:33:15Z"}],"graph_snapshots":[{"event_id":"sha256:f235b92326a758cc9c2ff09c57c5731ef0adb31aeeb76740b6d2d81af1b3ef00","target":"graph","created_at":"2026-05-17T23:46:36Z","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"},"paper":{"abstract_excerpt":"Few methods in Bayesian non-parametric statistics/ machine learning have received as much attention as Bayesian Additive Regression Trees (BART). While BART is now routinely performed for prediction tasks, its theoretical properties began to be understood only very recently. In this work, we continue the theoretical investigation of BART initiated by Rockova and van der Pas (2017). In particular, we study the Bernstein-von Mises (BvM) phenomenon (i.e. asymptotic normality) for smooth linear functionals of the regression surface within the framework of non-parametric regression with fixed covar","authors_text":"Veronika Rockova","cross_cats":["stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2019-05-09T16:26:40Z","title":"On Semi-parametric Bernstein-von Mises Theorems for BART"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.03735","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:fea5d31a97c623d0ba0f46acd1162a74954a76579ad3d96d311d2c373dbe50cb","target":"record","created_at":"2026-05-17T23:46:36Z","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":"8d5b8a99008cf149d7a0bb20f235e38232a25192d5a376cd97089c66fb8199ce","cross_cats_sorted":["stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2019-05-09T16:26:40Z","title_canon_sha256":"fc893b274b6c1761d921305b7d2b41d58910468a2a39ceceba899430eaed9ad7"},"schema_version":"1.0","source":{"id":"1905.03735","kind":"arxiv","version":1}},"canonical_sha256":"23b9b9d8f3980d80542da74bad32b1bdfe23893d3621e9e57426987d20686d4a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"23b9b9d8f3980d80542da74bad32b1bdfe23893d3621e9e57426987d20686d4a","first_computed_at":"2026-05-17T23:46:36.816131Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:46:36.816131Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NozPhCiG+tOo4rXig2uKLFSone/e67POKXDVEVMz2SxF/Jno5qniaEXX5sT1eAe26DAk8nUPXf6w3mBiD54yCA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:46:36.816843Z","signed_message":"canonical_sha256_bytes"},"source_id":"1905.03735","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fea5d31a97c623d0ba0f46acd1162a74954a76579ad3d96d311d2c373dbe50cb","sha256:f235b92326a758cc9c2ff09c57c5731ef0adb31aeeb76740b6d2d81af1b3ef00"],"state_sha256":"dfac5f2e670b61606a9f5b1bf2577d4e4b78578db85e830a8a190bf2dd5f8663"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lJWse9m52SiMt+qKshXaXNcWbcJ+JT/uW72Bdj4e9aqGcbp26TQgm8lSOvKDuu8k0tQM0LKVCWc3jennY0j9Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T11:23:49.527703Z","bundle_sha256":"0d56ef46850ed25e3a3274f696b5095c041d7eebaf920befa22188a77c4ecd1c"}}