{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:M2JZ2MBRW7COEZS27X322IBCIP","short_pith_number":"pith:M2JZ2MBR","canonical_record":{"source":{"id":"1305.7248","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"nucl-ex","submitted_at":"2013-05-30T20:28:31Z","cross_cats_sorted":["hep-ex"],"title_canon_sha256":"3959ed3fc2a3400e59b6f91e1ef79ca8354453e77da1f52780b762bcb746e51a","abstract_canon_sha256":"1161bfeb5c36a109e095eee7d5899025753af0cdf72f5373e6c9f487ae199d5e"},"schema_version":"1.0"},"canonical_sha256":"66939d3031b7c4e2665afdf7ad202243ee2a5f4d4466e611c27fde51517b87ba","source":{"kind":"arxiv","id":"1305.7248","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1305.7248","created_at":"2026-05-18T01:49:39Z"},{"alias_kind":"arxiv_version","alias_value":"1305.7248v2","created_at":"2026-05-18T01:49:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1305.7248","created_at":"2026-05-18T01:49:39Z"},{"alias_kind":"pith_short_12","alias_value":"M2JZ2MBRW7CO","created_at":"2026-05-18T12:27:51Z"},{"alias_kind":"pith_short_16","alias_value":"M2JZ2MBRW7COEZS2","created_at":"2026-05-18T12:27:51Z"},{"alias_kind":"pith_short_8","alias_value":"M2JZ2MBR","created_at":"2026-05-18T12:27:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:M2JZ2MBRW7COEZS27X322IBCIP","target":"record","payload":{"canonical_record":{"source":{"id":"1305.7248","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"nucl-ex","submitted_at":"2013-05-30T20:28:31Z","cross_cats_sorted":["hep-ex"],"title_canon_sha256":"3959ed3fc2a3400e59b6f91e1ef79ca8354453e77da1f52780b762bcb746e51a","abstract_canon_sha256":"1161bfeb5c36a109e095eee7d5899025753af0cdf72f5373e6c9f487ae199d5e"},"schema_version":"1.0"},"canonical_sha256":"66939d3031b7c4e2665afdf7ad202243ee2a5f4d4466e611c27fde51517b87ba","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:49:39.468815Z","signature_b64":"NUQqlJaLJD+dh76Hhc2FzbHtFT9rT5RzRLTGbmcQ/tHQpQ5xsoh4gQUPP8++Trs8EPz1Gvn0Q1fzKFt0zkuBDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"66939d3031b7c4e2665afdf7ad202243ee2a5f4d4466e611c27fde51517b87ba","last_reissued_at":"2026-05-18T01:49:39.468270Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:49:39.468270Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1305.7248","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:49:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9QW3OwyKftw7MoU4vk+5ZDKe9HnbuFPs+n3krY/6F9H0qhLzC09CqOWzQfF97NGQRMcxipT46lbJexRwFwWHDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T09:08:50.053397Z"},"content_sha256":"c7b11207e8626d05e10688f6d204e4c10b8351031a910f931c98dd915d0dfcd9","schema_version":"1.0","event_id":"sha256:c7b11207e8626d05e10688f6d204e4c10b8351031a910f931c98dd915d0dfcd9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:M2JZ2MBRW7COEZS27X322IBCIP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"uBoost: A boosting method for producing uniform selection efficiencies from multivariate classifiers","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-ex"],"primary_cat":"nucl-ex","authors_text":"Justin Stevens, Mike Williams","submitted_at":"2013-05-30T20:28:31Z","abstract_excerpt":"The use of multivariate classifiers, especially neural networks and decision trees, has become commonplace in particle physics. Typically, a series of classifiers is trained rather than just one to enhance the performance; this is known as boosting. This paper presents a novel method of boosting that produces a uniform selection efficiency in a user-defined multivariate space. Such a technique is ideally suited for amplitude analyses or other situations where optimizing a single integrated figure of merit is not what is desired."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1305.7248","kind":"arxiv","version":2},"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":"2026-05-18T01:49:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VBMFCl+o0g9vGNKzWOLmjLwY/VEVxl22q5gefPNyk9HJ1/M4YN8UhWVFj1qa5PE0RTxka7NMALWJgzuMdmiVCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T09:08:50.053750Z"},"content_sha256":"13530ceb547c27aca5c4755cf1d6a1c45e955ffaf021be50b3498a087a68c1c1","schema_version":"1.0","event_id":"sha256:13530ceb547c27aca5c4755cf1d6a1c45e955ffaf021be50b3498a087a68c1c1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/M2JZ2MBRW7COEZS27X322IBCIP/bundle.json","state_url":"https://pith.science/pith/M2JZ2MBRW7COEZS27X322IBCIP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/M2JZ2MBRW7COEZS27X322IBCIP/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":"2026-07-07T09:08:50Z","links":{"resolver":"https://pith.science/pith/M2JZ2MBRW7COEZS27X322IBCIP","bundle":"https://pith.science/pith/M2JZ2MBRW7COEZS27X322IBCIP/bundle.json","state":"https://pith.science/pith/M2JZ2MBRW7COEZS27X322IBCIP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/M2JZ2MBRW7COEZS27X322IBCIP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:M2JZ2MBRW7COEZS27X322IBCIP","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":"1161bfeb5c36a109e095eee7d5899025753af0cdf72f5373e6c9f487ae199d5e","cross_cats_sorted":["hep-ex"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"nucl-ex","submitted_at":"2013-05-30T20:28:31Z","title_canon_sha256":"3959ed3fc2a3400e59b6f91e1ef79ca8354453e77da1f52780b762bcb746e51a"},"schema_version":"1.0","source":{"id":"1305.7248","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1305.7248","created_at":"2026-05-18T01:49:39Z"},{"alias_kind":"arxiv_version","alias_value":"1305.7248v2","created_at":"2026-05-18T01:49:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1305.7248","created_at":"2026-05-18T01:49:39Z"},{"alias_kind":"pith_short_12","alias_value":"M2JZ2MBRW7CO","created_at":"2026-05-18T12:27:51Z"},{"alias_kind":"pith_short_16","alias_value":"M2JZ2MBRW7COEZS2","created_at":"2026-05-18T12:27:51Z"},{"alias_kind":"pith_short_8","alias_value":"M2JZ2MBR","created_at":"2026-05-18T12:27:51Z"}],"graph_snapshots":[{"event_id":"sha256:13530ceb547c27aca5c4755cf1d6a1c45e955ffaf021be50b3498a087a68c1c1","target":"graph","created_at":"2026-05-18T01:49:39Z","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":"The use of multivariate classifiers, especially neural networks and decision trees, has become commonplace in particle physics. Typically, a series of classifiers is trained rather than just one to enhance the performance; this is known as boosting. This paper presents a novel method of boosting that produces a uniform selection efficiency in a user-defined multivariate space. Such a technique is ideally suited for amplitude analyses or other situations where optimizing a single integrated figure of merit is not what is desired.","authors_text":"Justin Stevens, Mike Williams","cross_cats":["hep-ex"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"nucl-ex","submitted_at":"2013-05-30T20:28:31Z","title":"uBoost: A boosting method for producing uniform selection efficiencies from multivariate classifiers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1305.7248","kind":"arxiv","version":2},"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:c7b11207e8626d05e10688f6d204e4c10b8351031a910f931c98dd915d0dfcd9","target":"record","created_at":"2026-05-18T01:49:39Z","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":"1161bfeb5c36a109e095eee7d5899025753af0cdf72f5373e6c9f487ae199d5e","cross_cats_sorted":["hep-ex"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"nucl-ex","submitted_at":"2013-05-30T20:28:31Z","title_canon_sha256":"3959ed3fc2a3400e59b6f91e1ef79ca8354453e77da1f52780b762bcb746e51a"},"schema_version":"1.0","source":{"id":"1305.7248","kind":"arxiv","version":2}},"canonical_sha256":"66939d3031b7c4e2665afdf7ad202243ee2a5f4d4466e611c27fde51517b87ba","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"66939d3031b7c4e2665afdf7ad202243ee2a5f4d4466e611c27fde51517b87ba","first_computed_at":"2026-05-18T01:49:39.468270Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:49:39.468270Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NUQqlJaLJD+dh76Hhc2FzbHtFT9rT5RzRLTGbmcQ/tHQpQ5xsoh4gQUPP8++Trs8EPz1Gvn0Q1fzKFt0zkuBDg==","signature_status":"signed_v1","signed_at":"2026-05-18T01:49:39.468815Z","signed_message":"canonical_sha256_bytes"},"source_id":"1305.7248","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c7b11207e8626d05e10688f6d204e4c10b8351031a910f931c98dd915d0dfcd9","sha256:13530ceb547c27aca5c4755cf1d6a1c45e955ffaf021be50b3498a087a68c1c1"],"state_sha256":"90e4ee5aa36e3d8600f63d624d228b1b8e2bf8c321c999db793917e027ec388b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3HoLCaxOyDpEZn0MMeZZVM2eH0DYyoEEc2Q+QcpgKlr8XRf7VLYZRmlJfTRVGmgmD4Quy7FqI2Ticm9Zgb9JDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T09:08:50.055706Z","bundle_sha256":"df019e775272b399c698cf43a61fa333975207ddd699ddddf33b08e100239575"}}