Inventing Adaptive Risk-weighted Gasless Sponsorship: Reliability, Abuse Resistance, and Budget-safe Cost Models

Inventing Adaptive Risk-weighted Gasless Sponsorship: Reliability, Abuse Resistance, and Budget-safe Cost Models | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Inventing Adaptive Risk-weighted Gasless Sponsorship: Reliability, Abuse Resistance, and Budget-safe Cost Models Anton Malinovskiy This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8919478/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Gasless micro-transactions reduce friction in live streaming, but they also introduce new operational risks: reliability under load, abuse amplification, and cost volatility. This paper introduces a novel invention candidate—an Adaptive Risk-Weighted Gasless Sponsorship controller that dynamically sets sponsorship caps, quotas, and acceptance probabilities based on fee percentiles, budget slope, and real-time abuse signals.We formalize reliability and abuse-resistance metrics, derive budget-safe cost models tied to fee markets, and propose a multi-timescale policy that preserves user experience while preventing budget exhaustion. Using simulated data with realistic parameters and real-world fee anchors, we quantify success rates, blocked rates, and budget depletion.We provide reproducible code snippets for enforcement logic. The results show how quota design and relay capacity govern both user experience and cost, and how adaptive risk-weighted sponsorship can stabilize gasless systems at scale. Systems and Networking gasless transactions paymaster micro-payments abuse resistance cost modeling live streaming Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-8919478","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":594040290,"identity":"de0aadcb-b6c9-499e-b643-d7402cc89f7a","order_by":0,"name":"Anton Malinovskiy","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA9klEQVRIiWNgGAWjYLCCBwYgko3hAEOFBJFaEuBazhCthQGihYGxjQjV/A3ciR8SCu7IGZw/lniYd56FHD97A+Pjil+4tUgc4N0skWDwzNjgRtqBw7zbJIwlew4wG57tw2PNAd4NQC2HE2fOYG8AaUnccCOBTbKxB7cOeaAtP8Ba+o8DtcyRqN9//wF+LQYHgCaDtPQzgBzWAGRLMLBJNvzArcUQ6BgLoBZjfom0hINzjkkYzjiT2GzY2IBbi9zx3s03Pvw5LMfGf8z4w5uaOnn+9sMHHzb8weN9ZiQ2Ew+YYmwgLoLAahE+wGfLKBgFo2AUjDQAAFf2VVWJp6ZMAAAAAElFTkSuQmCC","orcid":"https://orcid.org/0009-0008-9064-6003","institution":"","correspondingAuthor":true,"prefix":"","firstName":"Anton","middleName":"","lastName":"Malinovskiy","suffix":""}],"badges":[],"createdAt":"2026-02-19 16:49:22","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-8919478/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8919478/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":103504429,"identity":"c23ed682-f8ac-46d0-9daf-29d29b5b3ab9","added_by":"auto","created_at":"2026-02-26 13:19:51","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":248974,"visible":true,"origin":"","legend":"","description":"","filename":"INVENTINGADAPTIVERISKWEIGHTEDGASLESSSPONSORSHIP.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8919478/v1_covered_9268680e-1c4d-4041-8f2d-493c8588e15a.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003eInventing Adaptive Risk-weighted Gasless Sponsorship: Reliability, Abuse Resistance, and Budget-safe Cost Models\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"gasless transactions, paymaster, micro-payments, abuse resistance, cost modeling, live streaming","lastPublishedDoi":"10.21203/rs.3.rs-8919478/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8919478/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eGasless micro-transactions reduce friction in live streaming, but they also introduce new operational risks: reliability under load, abuse amplification, and cost volatility. 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