The stochastic approach for anomalies in supersymmetric theories

[2603.29816] The stochastic approach for anomalies in supersymmetric theories Skip to main content Search Submit Donate Log in High Energy Physics - Theory arXiv:2603.29816 (hep-th) [Submitted on 31 Mar 2026 ( v1 ), last revised 9 Jul 2026 (this version, v2)] Title: The stochastic approach for anomalies in supersymmetric theories Authors: Stam Nicolis View PDF HTML (experimental) Abstract: We discuss how the stochastic approach for supersymmetric theories leads to new ways of characterizing anomalies in how supersymmetry can be broken. Comments: 10 pages LaTeX, uses this http URL and this http URL . Written contribution to the Proceedings of the Corfu Summer Institute 2025 "School and Workshops on Elementary Particle Physics and Gravity" (CORFU2025),27 April - 28 September, 2025, Corfu, Greece Subjects: High Energy Physics - Theory (hep-th) Cite as: arXiv:2603.29816 [hep-th] (or arXiv:2603.29816v2 [hep-th] for this version) https://doi.org/10.48550/arXiv.2603.29816 Focus to learn more arXiv-issued DOI via DataCite Journal reference: PoS(CORFU2025)116 Related DOI : https://doi.org/10.22323/1.509.0116 Focus to learn more DOI(s) linking to related resources Submission history From: Stam Nicolis [ view email ] [v1] Tue, 31 Mar 2026 14:43:06 UTC (34 KB) [v2] Thu, 9 Jul 2026 14:41:07 UTC (38 KB) Full-text links: Access Paper: View PDF HTML (experimental) TeX Source view license Current browse context: hep-th < prev | next > new | recent | 2026-03 References & Citations INSPIRE HEP SciX Google Scholar Semantic Scholar export BibTeX citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) IArxiv recommender toggle IArxiv Recommender ( What is IArxiv? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab)

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