{"paper":{"title":"Computing Tools for Effective Field Theories","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["hep-ex"],"primary_cat":"hep-ph","authors_text":"Amon Ilakovac, Anders Eller Thomsen, Angelica Goncalves, Athanasios Dedes, Avelino Vicente, Dominik St\\\"ockinger, Herm\\`es B\\'elusca-Ma\\\"ito, Ignacy Na\\l\\c{e}cz, Janusz Rosiek, Jason Aebischer, Javier Fuentes-Mart\\'in, Javier Virto, Jorge de Blas, Jos\\'e Santiago, Juan Carlos Criado, Laura Reina, Luca Silvestrini, Lukas Allwicher, Marija Ma{\\dj}or-Bo\\v{z}inovi\\'c, Matteo Fael, Matthias K\\\"onig, Matthias Wei{\\ss}wange, M\\'eril Reboud, Michal Ryczkowski, Mikael Chala, Miko{\\l}aj Misiak, Paul K\\\"uhler, Peter Stangl, Peter Stoffer, Renato M. Fonseca, Sunando Kumar Patra, Supratim Das Bakshi, V\\'ictor Miralles","submitted_at":"2023-07-17T18:00:03Z","abstract_excerpt":"In recent years, theoretical and phenomenological studies with effective field theories have become a trending and prolific line of research in the field of high-energy physics. In order to discuss present and future prospects concerning automated tools in this field, the SMEFT-Tools 2022 workshop was held at the University of Zurich from 14th-16th September 2022. The current document collects and summarizes the content of this workshop."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.08745","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2307.08745/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"}