{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:2257OUNQ7WUPWOGX25SYTB2GOG","short_pith_number":"pith:2257OUNQ","schema_version":"1.0","canonical_sha256":"d6bbf751b0fda8fb38d7d76589874671940376b825f265e351ee69a31ccab3b8","source":{"kind":"arxiv","id":"1602.02286","version":2},"attestation_state":"computed","paper":{"title":"Statistical-noise reduction in correlation analysis of high-energy nuclear collisions with event-mixing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-ex"],"primary_cat":"nucl-ex","authors_text":"P. Bhattarai, R. L. Ray","submitted_at":"2016-02-06T18:15:27Z","abstract_excerpt":"The error propagation and statistical-noise reduction method of Reid and Trainor for two-point correlation applications in high-energy collisions is extended to include particle-pair references constructed by mixing two particles from all event-pair combinations within event subsets of arbitrary size. The Reid-Trainor method is also applied to other particle-pair mixing algorithms commonly used in correlation analysis of particle production from high-energy nuclear collisions. The statistical-noise reduction, inherent in the Reid-Trainor event-mixing procedure, is shown to occur for these othe"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1602.02286","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"nucl-ex","submitted_at":"2016-02-06T18:15:27Z","cross_cats_sorted":["hep-ex"],"title_canon_sha256":"a631ed0c4f19c82338e84c81e636dc21d35b052fab418d6c38543b1a895dfb33","abstract_canon_sha256":"b732a1ab40ab38d67a5d7edc6647fe639c55a2bd605e8c58cdf10550a3d1dd60"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:11:38.495717Z","signature_b64":"rcyf5RH2JY7YO2Oq8/ZUVdWRTtc7kHz4XoeA1XsehZlUyQ4WgdqI9iHfpI0RFPeujbAjB6GbmRCDU16DT2hCBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d6bbf751b0fda8fb38d7d76589874671940376b825f265e351ee69a31ccab3b8","last_reissued_at":"2026-05-18T01:11:38.495335Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:11:38.495335Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Statistical-noise reduction in correlation analysis of high-energy nuclear collisions with event-mixing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-ex"],"primary_cat":"nucl-ex","authors_text":"P. Bhattarai, R. L. Ray","submitted_at":"2016-02-06T18:15:27Z","abstract_excerpt":"The error propagation and statistical-noise reduction method of Reid and Trainor for two-point correlation applications in high-energy collisions is extended to include particle-pair references constructed by mixing two particles from all event-pair combinations within event subsets of arbitrary size. The Reid-Trainor method is also applied to other particle-pair mixing algorithms commonly used in correlation analysis of particle production from high-energy nuclear collisions. The statistical-noise reduction, inherent in the Reid-Trainor event-mixing procedure, is shown to occur for these othe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.02286","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1602.02286","created_at":"2026-05-18T01:11:38.495399+00:00"},{"alias_kind":"arxiv_version","alias_value":"1602.02286v2","created_at":"2026-05-18T01:11:38.495399+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.02286","created_at":"2026-05-18T01:11:38.495399+00:00"},{"alias_kind":"pith_short_12","alias_value":"2257OUNQ7WUP","created_at":"2026-05-18T12:29:52.810259+00:00"},{"alias_kind":"pith_short_16","alias_value":"2257OUNQ7WUPWOGX","created_at":"2026-05-18T12:29:52.810259+00:00"},{"alias_kind":"pith_short_8","alias_value":"2257OUNQ","created_at":"2026-05-18T12:29:52.810259+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/2257OUNQ7WUPWOGX25SYTB2GOG","json":"https://pith.science/pith/2257OUNQ7WUPWOGX25SYTB2GOG.json","graph_json":"https://pith.science/api/pith-number/2257OUNQ7WUPWOGX25SYTB2GOG/graph.json","events_json":"https://pith.science/api/pith-number/2257OUNQ7WUPWOGX25SYTB2GOG/events.json","paper":"https://pith.science/paper/2257OUNQ"},"agent_actions":{"view_html":"https://pith.science/pith/2257OUNQ7WUPWOGX25SYTB2GOG","download_json":"https://pith.science/pith/2257OUNQ7WUPWOGX25SYTB2GOG.json","view_paper":"https://pith.science/paper/2257OUNQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1602.02286&json=true","fetch_graph":"https://pith.science/api/pith-number/2257OUNQ7WUPWOGX25SYTB2GOG/graph.json","fetch_events":"https://pith.science/api/pith-number/2257OUNQ7WUPWOGX25SYTB2GOG/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2257OUNQ7WUPWOGX25SYTB2GOG/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2257OUNQ7WUPWOGX25SYTB2GOG/action/storage_attestation","attest_author":"https://pith.science/pith/2257OUNQ7WUPWOGX25SYTB2GOG/action/author_attestation","sign_citation":"https://pith.science/pith/2257OUNQ7WUPWOGX25SYTB2GOG/action/citation_signature","submit_replication":"https://pith.science/pith/2257OUNQ7WUPWOGX25SYTB2GOG/action/replication_record"}},"created_at":"2026-05-18T01:11:38.495399+00:00","updated_at":"2026-05-18T01:11:38.495399+00:00"}