{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:ZPBKRRO3OSAF5H3JGUNSJ5TYR5","short_pith_number":"pith:ZPBKRRO3","schema_version":"1.0","canonical_sha256":"cbc2a8c5db74805e9f69351b24f6788f46b12de5f3e467d1b722e03e0a3f6974","source":{"kind":"arxiv","id":"2011.04773","version":3},"attestation_state":"computed","paper":{"title":"Summations of large logarithms by parton showers","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"hep-ph","authors_text":"Davison E. Soper, Zoltan Nagy","submitted_at":"2020-11-09T21:19:06Z","abstract_excerpt":"We propose a method to examine how a parton shower sums large logarithms. In this method, one works with an appropriate integral transform of the distribution for the observable of interest. Then, one reformulates the parton shower so as to obtain the transformed distribution as an exponential for which one can compute the terms in the perturbative expansion of the exponent. We apply this general program to the thrust distribution in electron-positron annihilation, using several shower algorithms. Of the approaches that we use, the most generally applicable is to compute some of the perturbati"},"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":"2011.04773","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ph","submitted_at":"2020-11-09T21:19:06Z","cross_cats_sorted":[],"title_canon_sha256":"ece0cf5d45e8440aa1d2baa820ee9ac10e96b43801284e9bf4e13917994b1ee4","abstract_canon_sha256":"953df01cb007830203a81e1844e6419061c6c8af51daff6cfe45b42106615211"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:19:02.623468Z","signature_b64":"CBXf+Qi+fts/PBBYgIb6rZ/e0db1TQUH+cImhAn29a7vcOR0Sc3+FB6HR7nYyuaUzDSDGDpsLSJ+JtlhN397CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cbc2a8c5db74805e9f69351b24f6788f46b12de5f3e467d1b722e03e0a3f6974","last_reissued_at":"2026-07-05T03:19:02.622961Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:19:02.622961Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Summations of large logarithms by parton showers","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"hep-ph","authors_text":"Davison E. Soper, Zoltan Nagy","submitted_at":"2020-11-09T21:19:06Z","abstract_excerpt":"We propose a method to examine how a parton shower sums large logarithms. In this method, one works with an appropriate integral transform of the distribution for the observable of interest. Then, one reformulates the parton shower so as to obtain the transformed distribution as an exponential for which one can compute the terms in the perturbative expansion of the exponent. We apply this general program to the thrust distribution in electron-positron annihilation, using several shower algorithms. Of the approaches that we use, the most generally applicable is to compute some of the perturbati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.04773","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2011.04773/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2011.04773","created_at":"2026-07-05T03:19:02.623019+00:00"},{"alias_kind":"arxiv_version","alias_value":"2011.04773v3","created_at":"2026-07-05T03:19:02.623019+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.04773","created_at":"2026-07-05T03:19:02.623019+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZPBKRRO3OSAF","created_at":"2026-07-05T03:19:02.623019+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZPBKRRO3OSAF5H3J","created_at":"2026-07-05T03:19:02.623019+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZPBKRRO3","created_at":"2026-07-05T03:19:02.623019+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":5,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2511.19633","citing_title":"An NLO-Matched Initial and Final State Parton Shower on a GPU","ref_index":49,"is_internal_anchor":false},{"citing_arxiv_id":"2605.18360","citing_title":"Nested-GPT for variable-multiplicity parton showers: A case study in the resummation of non-global logarithms","ref_index":38,"is_internal_anchor":false},{"citing_arxiv_id":"2605.18360","citing_title":"Nested-GPT for variable-multiplicity parton showers: A case study in the resummation of non-global logarithms","ref_index":36,"is_internal_anchor":false},{"citing_arxiv_id":"2511.19633","citing_title":"An NLO-Matched Initial and Final State Parton Shower on a GPU","ref_index":49,"is_internal_anchor":false},{"citing_arxiv_id":"2203.11601","citing_title":"A comprehensive guide to the physics and usage of PYTHIA 8.3","ref_index":60,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/ZPBKRRO3OSAF5H3JGUNSJ5TYR5","json":"https://pith.science/pith/ZPBKRRO3OSAF5H3JGUNSJ5TYR5.json","graph_json":"https://pith.science/api/pith-number/ZPBKRRO3OSAF5H3JGUNSJ5TYR5/graph.json","events_json":"https://pith.science/api/pith-number/ZPBKRRO3OSAF5H3JGUNSJ5TYR5/events.json","paper":"https://pith.science/paper/ZPBKRRO3"},"agent_actions":{"view_html":"https://pith.science/pith/ZPBKRRO3OSAF5H3JGUNSJ5TYR5","download_json":"https://pith.science/pith/ZPBKRRO3OSAF5H3JGUNSJ5TYR5.json","view_paper":"https://pith.science/paper/ZPBKRRO3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2011.04773&json=true","fetch_graph":"https://pith.science/api/pith-number/ZPBKRRO3OSAF5H3JGUNSJ5TYR5/graph.json","fetch_events":"https://pith.science/api/pith-number/ZPBKRRO3OSAF5H3JGUNSJ5TYR5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZPBKRRO3OSAF5H3JGUNSJ5TYR5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZPBKRRO3OSAF5H3JGUNSJ5TYR5/action/storage_attestation","attest_author":"https://pith.science/pith/ZPBKRRO3OSAF5H3JGUNSJ5TYR5/action/author_attestation","sign_citation":"https://pith.science/pith/ZPBKRRO3OSAF5H3JGUNSJ5TYR5/action/citation_signature","submit_replication":"https://pith.science/pith/ZPBKRRO3OSAF5H3JGUNSJ5TYR5/action/replication_record"}},"created_at":"2026-07-05T03:19:02.623019+00:00","updated_at":"2026-07-05T03:19:02.623019+00:00"}