{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2012:IAKZLDWPKALMURP5CJATAQYYB2","short_pith_number":"pith:IAKZLDWP","schema_version":"1.0","canonical_sha256":"4015958ecf5016ca45fd12413043180eb5634d2f82e32092408f082d065c2fbb","source":{"kind":"arxiv","id":"1211.5467","version":2},"attestation_state":"computed","paper":{"title":"Controlling inclusive cross sections in parton shower + matrix element merging","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"hep-ph","authors_text":"Simon Platzer","submitted_at":"2012-11-23T11:00:59Z","abstract_excerpt":"We propose an extension of matrix element plus parton shower merging at tree level to preserve inclusive cross sections obtained from the merged and showered sample. Implementing this constraint generates approximate next-to-leading order (NLO) contributions similar to the LoopSim approach. We then show how full NLO, or in principle even higher order, corrections can be added consistently, including constraints on inclusive cross sections to account for yet missing parton shower accuracy at higher logarithmic order. We also show how NLO accuracy below the merging scale can be obtained."},"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":"1211.5467","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ph","submitted_at":"2012-11-23T11:00:59Z","cross_cats_sorted":[],"title_canon_sha256":"23c1215e89cd6abe1cb287db1da55be36dd0f48f32aa27d8d2f9094d4aeca20a","abstract_canon_sha256":"cd77f392f7a3a44843f4f635a4749a8aa6e08a05d909adc22199330309c330ad"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:53:01.195674Z","signature_b64":"kfTUKH58WeMTxLjpIJQYdx1IXZp887PC+FRPs3jWeEoZ66HA68OV8Xwezs+Yu2xr9OzWmYCNvm2X5Nd09XmjBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4015958ecf5016ca45fd12413043180eb5634d2f82e32092408f082d065c2fbb","last_reissued_at":"2026-05-18T01:53:01.195013Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:53:01.195013Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Controlling inclusive cross sections in parton shower + matrix element merging","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"hep-ph","authors_text":"Simon Platzer","submitted_at":"2012-11-23T11:00:59Z","abstract_excerpt":"We propose an extension of matrix element plus parton shower merging at tree level to preserve inclusive cross sections obtained from the merged and showered sample. Implementing this constraint generates approximate next-to-leading order (NLO) contributions similar to the LoopSim approach. We then show how full NLO, or in principle even higher order, corrections can be added consistently, including constraints on inclusive cross sections to account for yet missing parton shower accuracy at higher logarithmic order. We also show how NLO accuracy below the merging scale can be obtained."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1211.5467","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":"1211.5467","created_at":"2026-05-18T01:53:01.195113+00:00"},{"alias_kind":"arxiv_version","alias_value":"1211.5467v2","created_at":"2026-05-18T01:53:01.195113+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1211.5467","created_at":"2026-05-18T01:53:01.195113+00:00"},{"alias_kind":"pith_short_12","alias_value":"IAKZLDWPKALM","created_at":"2026-05-18T12:27:09.501522+00:00"},{"alias_kind":"pith_short_16","alias_value":"IAKZLDWPKALMURP5","created_at":"2026-05-18T12:27:09.501522+00:00"},{"alias_kind":"pith_short_8","alias_value":"IAKZLDWP","created_at":"2026-05-18T12:27:09.501522+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":4,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2406.08026","citing_title":"Photoproduction in general-purpose event generators","ref_index":38,"is_internal_anchor":true},{"citing_arxiv_id":"2203.11601","citing_title":"A comprehensive guide to the physics and usage of PYTHIA 8.3","ref_index":166,"is_internal_anchor":false},{"citing_arxiv_id":"1410.3012","citing_title":"An Introduction to PYTHIA 8.2","ref_index":86,"is_internal_anchor":false},{"citing_arxiv_id":"1405.0301","citing_title":"The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations","ref_index":203,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/IAKZLDWPKALMURP5CJATAQYYB2","json":"https://pith.science/pith/IAKZLDWPKALMURP5CJATAQYYB2.json","graph_json":"https://pith.science/api/pith-number/IAKZLDWPKALMURP5CJATAQYYB2/graph.json","events_json":"https://pith.science/api/pith-number/IAKZLDWPKALMURP5CJATAQYYB2/events.json","paper":"https://pith.science/paper/IAKZLDWP"},"agent_actions":{"view_html":"https://pith.science/pith/IAKZLDWPKALMURP5CJATAQYYB2","download_json":"https://pith.science/pith/IAKZLDWPKALMURP5CJATAQYYB2.json","view_paper":"https://pith.science/paper/IAKZLDWP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1211.5467&json=true","fetch_graph":"https://pith.science/api/pith-number/IAKZLDWPKALMURP5CJATAQYYB2/graph.json","fetch_events":"https://pith.science/api/pith-number/IAKZLDWPKALMURP5CJATAQYYB2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/IAKZLDWPKALMURP5CJATAQYYB2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/IAKZLDWPKALMURP5CJATAQYYB2/action/storage_attestation","attest_author":"https://pith.science/pith/IAKZLDWPKALMURP5CJATAQYYB2/action/author_attestation","sign_citation":"https://pith.science/pith/IAKZLDWPKALMURP5CJATAQYYB2/action/citation_signature","submit_replication":"https://pith.science/pith/IAKZLDWPKALMURP5CJATAQYYB2/action/replication_record"}},"created_at":"2026-05-18T01:53:01.195113+00:00","updated_at":"2026-05-18T01:53:01.195113+00:00"}