{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2011:RK42XVVAW3P2DJLABMKYOSXUO5","short_pith_number":"pith:RK42XVVA","schema_version":"1.0","canonical_sha256":"8ab9abd6a0b6dfa1a5600b15874af47743d061de7255fdc6ae274d63c77fc2a8","source":{"kind":"arxiv","id":"1101.2599","version":1},"attestation_state":"computed","paper":{"title":"General-purpose event generators for LHC physics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-ex"],"primary_cat":"hep-ph","authors_text":"Andy Buckley, Bryan Webber, David Grellscheid, Emily Nurse, Frank Krauss, Hendrik Hoeth, Jonathan Butterworth, Leif Lonnblad, Michael H. Seymour, Peter Richardson, Peter Skands, Stefan Gieseke, Stefan Hoche, Steffen Schumann, Torbjorn Sjostrand","submitted_at":"2011-01-13T15:59:32Z","abstract_excerpt":"We review the physics basis, main features and use of general-purpose Monte Carlo event generators for the simulation of proton-proton collisions at the Large Hadron Collider. Topics included are: the generation of hard-scattering matrix elements for processes of interest, at both leading and next-to-leading QCD perturbative order; their matching to approximate treatments of higher orders based on the showering approximation; the parton and dipole shower formulations; parton distribution functions for event generators; non-perturbative aspects such as soft QCD collisions, the underlying event "},"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":"1101.2599","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ph","submitted_at":"2011-01-13T15:59:32Z","cross_cats_sorted":["hep-ex"],"title_canon_sha256":"226d436cbac832dcdf78f44a9482ef0a2c1deca99b8236419da67cfc5ffe45bd","abstract_canon_sha256":"6e9f6c5f0a991ccf044d9c136f7711166fdcf85e06e1ad1a6322bfeaa5dcfce4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:03:40.393837Z","signature_b64":"TPKfK9L6Tz4WGPjyzDJ52sd8wbv2i6dwKYQU5n8HF0LxM1RRxQIO6T+51dCbywem+qn3beUej41Vj/tYaN/8AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8ab9abd6a0b6dfa1a5600b15874af47743d061de7255fdc6ae274d63c77fc2a8","last_reissued_at":"2026-05-18T02:03:40.393127Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:03:40.393127Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"General-purpose event generators for LHC physics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-ex"],"primary_cat":"hep-ph","authors_text":"Andy Buckley, Bryan Webber, David Grellscheid, Emily Nurse, Frank Krauss, Hendrik Hoeth, Jonathan Butterworth, Leif Lonnblad, Michael H. Seymour, Peter Richardson, Peter Skands, Stefan Gieseke, Stefan Hoche, Steffen Schumann, Torbjorn Sjostrand","submitted_at":"2011-01-13T15:59:32Z","abstract_excerpt":"We review the physics basis, main features and use of general-purpose Monte Carlo event generators for the simulation of proton-proton collisions at the Large Hadron Collider. Topics included are: the generation of hard-scattering matrix elements for processes of interest, at both leading and next-to-leading QCD perturbative order; their matching to approximate treatments of higher orders based on the showering approximation; the parton and dipole shower formulations; parton distribution functions for event generators; non-perturbative aspects such as soft QCD collisions, the underlying event "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1101.2599","kind":"arxiv","version":1},"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":"1101.2599","created_at":"2026-05-18T02:03:40.393246+00:00"},{"alias_kind":"arxiv_version","alias_value":"1101.2599v1","created_at":"2026-05-18T02:03:40.393246+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1101.2599","created_at":"2026-05-18T02:03:40.393246+00:00"},{"alias_kind":"pith_short_12","alias_value":"RK42XVVAW3P2","created_at":"2026-05-18T12:26:41.206345+00:00"},{"alias_kind":"pith_short_16","alias_value":"RK42XVVAW3P2DJLA","created_at":"2026-05-18T12:26:41.206345+00:00"},{"alias_kind":"pith_short_8","alias_value":"RK42XVVA","created_at":"2026-05-18T12:26:41.206345+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":8,"internal_anchor_count":5,"sample":[{"citing_arxiv_id":"2511.19633","citing_title":"An NLO-Matched Initial and Final State Parton Shower on a GPU","ref_index":33,"is_internal_anchor":true},{"citing_arxiv_id":"2601.10420","citing_title":"On the reconstruction of kinematic distributions computed with Monte Carlo methods using orthogonal basis functions","ref_index":4,"is_internal_anchor":true},{"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":27,"is_internal_anchor":true},{"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":26,"is_internal_anchor":true},{"citing_arxiv_id":"2511.19633","citing_title":"An NLO-Matched Initial and Final State Parton Shower on a GPU","ref_index":33,"is_internal_anchor":true},{"citing_arxiv_id":"2604.03511","citing_title":"Monte Carlo Event Generation with Continuous Normalizing Flows","ref_index":6,"is_internal_anchor":false},{"citing_arxiv_id":"1410.3012","citing_title":"An Introduction to PYTHIA 8.2","ref_index":70,"is_internal_anchor":false},{"citing_arxiv_id":"2605.02622","citing_title":"Studying the Infrared Behaviour of Improved Logarithmic Accuracy Parton Showers with Herwig","ref_index":1,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/RK42XVVAW3P2DJLABMKYOSXUO5","json":"https://pith.science/pith/RK42XVVAW3P2DJLABMKYOSXUO5.json","graph_json":"https://pith.science/api/pith-number/RK42XVVAW3P2DJLABMKYOSXUO5/graph.json","events_json":"https://pith.science/api/pith-number/RK42XVVAW3P2DJLABMKYOSXUO5/events.json","paper":"https://pith.science/paper/RK42XVVA"},"agent_actions":{"view_html":"https://pith.science/pith/RK42XVVAW3P2DJLABMKYOSXUO5","download_json":"https://pith.science/pith/RK42XVVAW3P2DJLABMKYOSXUO5.json","view_paper":"https://pith.science/paper/RK42XVVA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1101.2599&json=true","fetch_graph":"https://pith.science/api/pith-number/RK42XVVAW3P2DJLABMKYOSXUO5/graph.json","fetch_events":"https://pith.science/api/pith-number/RK42XVVAW3P2DJLABMKYOSXUO5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/RK42XVVAW3P2DJLABMKYOSXUO5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/RK42XVVAW3P2DJLABMKYOSXUO5/action/storage_attestation","attest_author":"https://pith.science/pith/RK42XVVAW3P2DJLABMKYOSXUO5/action/author_attestation","sign_citation":"https://pith.science/pith/RK42XVVAW3P2DJLABMKYOSXUO5/action/citation_signature","submit_replication":"https://pith.science/pith/RK42XVVAW3P2DJLABMKYOSXUO5/action/replication_record"}},"created_at":"2026-05-18T02:03:40.393246+00:00","updated_at":"2026-05-18T02:03:40.393246+00:00"}