{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:PAVGUPG7QLJHXRQLHDCOUXPR7M","short_pith_number":"pith:PAVGUPG7","canonical_record":{"source":{"id":"1403.1692","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-03-07T09:14:20Z","cross_cats_sorted":[],"title_canon_sha256":"3fd3f5e1465139d686c77071dbe5aaf39608625713345c10a25ecbfa38b89e28","abstract_canon_sha256":"b89031116f82dd480a751df1f26214d649ece116b0a0da7d542f33554554890f"},"schema_version":"1.0"},"canonical_sha256":"782a6a3cdf82d27bc60b38c4ea5df1fb23e4ac92e118c3f7f24bf01bc44ab8cb","source":{"kind":"arxiv","id":"1403.1692","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1403.1692","created_at":"2026-05-18T02:34:52Z"},{"alias_kind":"arxiv_version","alias_value":"1403.1692v3","created_at":"2026-05-18T02:34:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1403.1692","created_at":"2026-05-18T02:34:52Z"},{"alias_kind":"pith_short_12","alias_value":"PAVGUPG7QLJH","created_at":"2026-05-18T12:28:43Z"},{"alias_kind":"pith_short_16","alias_value":"PAVGUPG7QLJHXRQL","created_at":"2026-05-18T12:28:43Z"},{"alias_kind":"pith_short_8","alias_value":"PAVGUPG7","created_at":"2026-05-18T12:28:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:PAVGUPG7QLJHXRQLHDCOUXPR7M","target":"record","payload":{"canonical_record":{"source":{"id":"1403.1692","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-03-07T09:14:20Z","cross_cats_sorted":[],"title_canon_sha256":"3fd3f5e1465139d686c77071dbe5aaf39608625713345c10a25ecbfa38b89e28","abstract_canon_sha256":"b89031116f82dd480a751df1f26214d649ece116b0a0da7d542f33554554890f"},"schema_version":"1.0"},"canonical_sha256":"782a6a3cdf82d27bc60b38c4ea5df1fb23e4ac92e118c3f7f24bf01bc44ab8cb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:34:52.452305Z","signature_b64":"hKHHEsmX+Dc4pVjlsD7/IK4unULakzIMwC0JF03NyocQRBXVrQB1vqTH5cWsZAWIJOuvUx3Uv4lNWAri3VVdCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"782a6a3cdf82d27bc60b38c4ea5df1fb23e4ac92e118c3f7f24bf01bc44ab8cb","last_reissued_at":"2026-05-18T02:34:52.451928Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:34:52.451928Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1403.1692","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:34:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"h2PY2/d64Q7lKYOo4quq1XUwtI0g5CPVYGU0Z2JfZ+m51RrW/5s6F+GDum3YY5YCxOFmI1LZfLS4Z9de9H8bDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-12T06:38:37.268720Z"},"content_sha256":"dfa4b7db69f26445f979c067a584deae30d7982f27d181fc0f6c5ed8e3e304ef","schema_version":"1.0","event_id":"sha256:dfa4b7db69f26445f979c067a584deae30d7982f27d181fc0f6c5ed8e3e304ef"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:PAVGUPG7QLJHXRQLHDCOUXPR7M","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Extending Statistical Boosting - An Overview of Recent Methodological Developments","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Andreas Mayr, Harald Binder, Matthias Schmid, Olaf Gefeller","submitted_at":"2014-03-07T09:14:20Z","abstract_excerpt":"Boosting algorithms to simultaneously estimate and select predictor effects in statistical models have gained substantial interest during the last decade. This review article aims to highlight recent methodological developments regarding boosting algorithms for statistical modelling especially focusing on topics relevant for biomedical research. We suggest a unified framework for gradient boosting and likelihood-based boosting (statistical boosting) which have been addressed strictly separated in the literature up to now. Statistical boosting algorithms have been adapted to carry out unbiased "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1403.1692","kind":"arxiv","version":3},"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":"2026-05-18T02:34:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gE+/Cbay1jvY98ELEqYJ4MtMe506OMq1T7ZZO7jDgvspPxZYlcAgSpig3KFTqVamC20SCqhQsOE7MnYquvglAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-12T06:38:37.269063Z"},"content_sha256":"7fb71893f81ef0c167ea59fb5dede03e7825548dcda57215c0266ac6e795d04f","schema_version":"1.0","event_id":"sha256:7fb71893f81ef0c167ea59fb5dede03e7825548dcda57215c0266ac6e795d04f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PAVGUPG7QLJHXRQLHDCOUXPR7M/bundle.json","state_url":"https://pith.science/pith/PAVGUPG7QLJHXRQLHDCOUXPR7M/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PAVGUPG7QLJHXRQLHDCOUXPR7M/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":"2026-06-12T06:38:37Z","links":{"resolver":"https://pith.science/pith/PAVGUPG7QLJHXRQLHDCOUXPR7M","bundle":"https://pith.science/pith/PAVGUPG7QLJHXRQLHDCOUXPR7M/bundle.json","state":"https://pith.science/pith/PAVGUPG7QLJHXRQLHDCOUXPR7M/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PAVGUPG7QLJHXRQLHDCOUXPR7M/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:PAVGUPG7QLJHXRQLHDCOUXPR7M","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":"b89031116f82dd480a751df1f26214d649ece116b0a0da7d542f33554554890f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-03-07T09:14:20Z","title_canon_sha256":"3fd3f5e1465139d686c77071dbe5aaf39608625713345c10a25ecbfa38b89e28"},"schema_version":"1.0","source":{"id":"1403.1692","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1403.1692","created_at":"2026-05-18T02:34:52Z"},{"alias_kind":"arxiv_version","alias_value":"1403.1692v3","created_at":"2026-05-18T02:34:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1403.1692","created_at":"2026-05-18T02:34:52Z"},{"alias_kind":"pith_short_12","alias_value":"PAVGUPG7QLJH","created_at":"2026-05-18T12:28:43Z"},{"alias_kind":"pith_short_16","alias_value":"PAVGUPG7QLJHXRQL","created_at":"2026-05-18T12:28:43Z"},{"alias_kind":"pith_short_8","alias_value":"PAVGUPG7","created_at":"2026-05-18T12:28:43Z"}],"graph_snapshots":[{"event_id":"sha256:7fb71893f81ef0c167ea59fb5dede03e7825548dcda57215c0266ac6e795d04f","target":"graph","created_at":"2026-05-18T02:34:52Z","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":"Boosting algorithms to simultaneously estimate and select predictor effects in statistical models have gained substantial interest during the last decade. This review article aims to highlight recent methodological developments regarding boosting algorithms for statistical modelling especially focusing on topics relevant for biomedical research. We suggest a unified framework for gradient boosting and likelihood-based boosting (statistical boosting) which have been addressed strictly separated in the literature up to now. Statistical boosting algorithms have been adapted to carry out unbiased ","authors_text":"Andreas Mayr, Harald Binder, Matthias Schmid, Olaf Gefeller","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-03-07T09:14:20Z","title":"Extending Statistical Boosting - An Overview of Recent Methodological Developments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1403.1692","kind":"arxiv","version":3},"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:dfa4b7db69f26445f979c067a584deae30d7982f27d181fc0f6c5ed8e3e304ef","target":"record","created_at":"2026-05-18T02:34:52Z","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":"b89031116f82dd480a751df1f26214d649ece116b0a0da7d542f33554554890f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-03-07T09:14:20Z","title_canon_sha256":"3fd3f5e1465139d686c77071dbe5aaf39608625713345c10a25ecbfa38b89e28"},"schema_version":"1.0","source":{"id":"1403.1692","kind":"arxiv","version":3}},"canonical_sha256":"782a6a3cdf82d27bc60b38c4ea5df1fb23e4ac92e118c3f7f24bf01bc44ab8cb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"782a6a3cdf82d27bc60b38c4ea5df1fb23e4ac92e118c3f7f24bf01bc44ab8cb","first_computed_at":"2026-05-18T02:34:52.451928Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:34:52.451928Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hKHHEsmX+Dc4pVjlsD7/IK4unULakzIMwC0JF03NyocQRBXVrQB1vqTH5cWsZAWIJOuvUx3Uv4lNWAri3VVdCw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:34:52.452305Z","signed_message":"canonical_sha256_bytes"},"source_id":"1403.1692","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dfa4b7db69f26445f979c067a584deae30d7982f27d181fc0f6c5ed8e3e304ef","sha256:7fb71893f81ef0c167ea59fb5dede03e7825548dcda57215c0266ac6e795d04f"],"state_sha256":"b53fbaedad2a6baedbf660e9c18101291f3d4b237de33a94ca8243826dc8f33c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"j9Ry5owIKHKS14Vbv/TWmML8i6GBqQITGqEC9n5G3ZCmp58mNx1hnT5wHXpjPOW0Q/Ppl7VuPJISPbfqE1RxBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-12T06:38:37.271031Z","bundle_sha256":"7b65dfe43b67251dd729a9d6e9cac54a86acd48606403c6df2049110b2ca4396"}}