{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2010:7GIF66PHCQW2GL46VGWEE33XFM","short_pith_number":"pith:7GIF66PH","schema_version":"1.0","canonical_sha256":"f9905f79e7142da32f9ea9ac426f772b12a0fcf3f39e9e3404137ef49953c2e6","source":{"kind":"arxiv","id":"1003.0694","version":8},"attestation_state":"computed","paper":{"title":"Rivet user manual","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"hep-ph","authors_text":"Andy Buckley, David Grellscheid, Frank Siegert, Hendrik Hoeth, Holger Schulz, James Monk, Jonathan Butterworth, Leif Lonnblad","submitted_at":"2010-03-02T22:26:39Z","abstract_excerpt":"This is the manual and user guide for the Rivet system for the validation and tuning of Monte Carlo event generators for high energy physics. As well as the core Rivet library, this manual describes the usage of the rivet program and the AGILe generator interface library. The depth and level of description is chosen for users of the system, starting with the basics of using validation code written by others, and then covering sufficient details to write new Rivet analyses and calculational components."},"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":"1003.0694","kind":"arxiv","version":8},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ph","submitted_at":"2010-03-02T22:26:39Z","cross_cats_sorted":[],"title_canon_sha256":"0ab8583ca85a6bae2d5533811ef592f19447d14b12f4a65f38a5346246e4fb81","abstract_canon_sha256":"b8dc82959e5082e58031b231a9277e8d3b85822d0d5e7a834ce1100c30ce6ba4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:06:01.568856Z","signature_b64":"7EHAqbeIEpVibLSMbyU0ZJ4W/bKz+pD3RwG9eq/tjUbb6F7Yy18OzpzNaQPFhmupobOS9j1lYClq4uD/VM6HBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f9905f79e7142da32f9ea9ac426f772b12a0fcf3f39e9e3404137ef49953c2e6","last_reissued_at":"2026-07-05T02:06:01.568374Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:06:01.568374Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Rivet user manual","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"hep-ph","authors_text":"Andy Buckley, David Grellscheid, Frank Siegert, Hendrik Hoeth, Holger Schulz, James Monk, Jonathan Butterworth, Leif Lonnblad","submitted_at":"2010-03-02T22:26:39Z","abstract_excerpt":"This is the manual and user guide for the Rivet system for the validation and tuning of Monte Carlo event generators for high energy physics. As well as the core Rivet library, this manual describes the usage of the rivet program and the AGILe generator interface library. The depth and level of description is chosen for users of the system, starting with the basics of using validation code written by others, and then covering sufficient details to write new Rivet analyses and calculational components."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1003.0694","kind":"arxiv","version":8},"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/1003.0694/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":"1003.0694","created_at":"2026-07-05T02:06:01.568434+00:00"},{"alias_kind":"arxiv_version","alias_value":"1003.0694v8","created_at":"2026-07-05T02:06:01.568434+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1003.0694","created_at":"2026-07-05T02:06:01.568434+00:00"},{"alias_kind":"pith_short_12","alias_value":"7GIF66PHCQW2","created_at":"2026-07-05T02:06:01.568434+00:00"},{"alias_kind":"pith_short_16","alias_value":"7GIF66PHCQW2GL46","created_at":"2026-07-05T02:06:01.568434+00:00"},{"alias_kind":"pith_short_8","alias_value":"7GIF66PH","created_at":"2026-07-05T02:06:01.568434+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":3,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"1907.09441","citing_title":"TMD parton distributions from parton showers","ref_index":13,"is_internal_anchor":false},{"citing_arxiv_id":"2507.08927","citing_title":"Deciphering compressed electroweakino excesses with MadAnalysis 5","ref_index":15,"is_internal_anchor":false},{"citing_arxiv_id":"1410.3012","citing_title":"An Introduction to PYTHIA 8.2","ref_index":95,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/7GIF66PHCQW2GL46VGWEE33XFM","json":"https://pith.science/pith/7GIF66PHCQW2GL46VGWEE33XFM.json","graph_json":"https://pith.science/api/pith-number/7GIF66PHCQW2GL46VGWEE33XFM/graph.json","events_json":"https://pith.science/api/pith-number/7GIF66PHCQW2GL46VGWEE33XFM/events.json","paper":"https://pith.science/paper/7GIF66PH"},"agent_actions":{"view_html":"https://pith.science/pith/7GIF66PHCQW2GL46VGWEE33XFM","download_json":"https://pith.science/pith/7GIF66PHCQW2GL46VGWEE33XFM.json","view_paper":"https://pith.science/paper/7GIF66PH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1003.0694&json=true","fetch_graph":"https://pith.science/api/pith-number/7GIF66PHCQW2GL46VGWEE33XFM/graph.json","fetch_events":"https://pith.science/api/pith-number/7GIF66PHCQW2GL46VGWEE33XFM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7GIF66PHCQW2GL46VGWEE33XFM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7GIF66PHCQW2GL46VGWEE33XFM/action/storage_attestation","attest_author":"https://pith.science/pith/7GIF66PHCQW2GL46VGWEE33XFM/action/author_attestation","sign_citation":"https://pith.science/pith/7GIF66PHCQW2GL46VGWEE33XFM/action/citation_signature","submit_replication":"https://pith.science/pith/7GIF66PHCQW2GL46VGWEE33XFM/action/replication_record"}},"created_at":"2026-07-05T02:06:01.568434+00:00","updated_at":"2026-07-05T02:06:01.568434+00:00"}