[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-a-foundation-model-for-mapping-credit-risk-across-defi":10,"sections":34},{"siteName":4,"siteTagline":5,"publisherName":4,"contactEmail":6},"The Revision","Tech news, decoded.","editor@therevision.news",{"gaMeasurementId":8,"adsenseClientId":9},"G-ZW2MV82GYR","ca-pub-8533917693782264",{"article":11},{"id":12,"slug":13,"title":14,"dek":15,"body_md":16,"tags_json":17,"published_at":18,"created_at":19,"updated_at":20,"status":21,"review_note":22,"review_notes":23,"image_url":22,"persona_id":22,"persona_name":22,"section":24,"tags":25,"sources":29,"feedback":33,"feedback_at":22,"cost_usd":33,"total_tokens":33},3156,"a-foundation-model-for-mapping-credit-risk-across-defi","A Foundation Model for Mapping Credit Risk Across DeFi","DeXposure-FM uses graph neural networks and 43.7 million data points to forecast how financial shocks ripple across decentralized protocols.","A new open-source model claims to be the first to forecast credit exposure across DeFi networks in real time.\n\nResearchers introduced DeXposure-FM, a time-series graph foundation model trained on the DeXposure dataset — 43.7 million entries spanning 4,300-plus protocols across 602 blockchains and 24,300-plus unique tokens. The model uses a graph-tabular encoder with pre-trained weights and task-specific output heads to predict both protocol-level fund flows and how credit-exposure links form and shift over time. On two machine learning benchmarks, it outperformed existing approaches including temporal graph neural networks. The model and code are publicly available on Hugging Face and GitHub.\n\nThe stakes here go beyond academic benchmarking. As stablecoins and other DeFi instruments increasingly connect to traditional finance, a shock in one corner of the network can cascade in ways that legacy risk tools were never built to track. DeXposure-FM adds systemic-importance scores and sector-level spillover measures — the kind of macroprudential toolkit regulators have wanted for conventional banks for years, now applied to a market that has mostly operated without it.\n\nWhether the model holds up under real-world conditions — where liquidity can vanish faster than any training set can capture — remains the open question.","[\"defi\",\"ai\",\"risk\",\"open-source\"]","2026-07-01T04:00:00.000Z","2026-07-01T08:35:37.918Z","2026-07-01T08:35:40.875Z","published",null,[],"ai",[26,24,27,28],"defi","risk","open-source",[30],{"name":31,"url":32},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2602.03981",0,{"sections":35},[36,40,45,50,55,60,65,70,75,80,85,89,94,99],{"name":37,"slug":24,"count":38,"latest_published_at":39},"AI",2590,"2026-07-16T04:00:00.000Z",{"name":41,"slug":42,"count":43,"latest_published_at":44},"Security","security",294,"2026-07-15T19:59:48.000Z",{"name":46,"slug":47,"count":48,"latest_published_at":49},"Deals","deals",179,"2026-06-29T20:02:07.000Z",{"name":51,"slug":52,"count":53,"latest_published_at":54},"Policy","policy",158,"2026-07-16T00:02:48.000Z",{"name":56,"slug":57,"count":58,"latest_published_at":59},"Hardware","hardware",122,"2026-07-14T19:46:26.000Z",{"name":61,"slug":62,"count":63,"latest_published_at":64},"Consumer Tech","consumer-tech",93,"2026-07-13T13:20:48.000Z",{"name":66,"slug":67,"count":68,"latest_published_at":69},"Software","software",70,"2026-07-13T19:52:25.000Z",{"name":71,"slug":72,"count":73,"latest_published_at":74},"Science","science",66,"2026-07-10T10:29:37.000Z",{"name":76,"slug":77,"count":78,"latest_published_at":79},"Dev Tools","dev-tools",59,"2026-07-07T04:00:00.000Z",{"name":81,"slug":82,"count":83,"latest_published_at":84},"Gaming","gaming",41,"2026-07-09T04:00:00.000Z",{"name":86,"slug":87,"count":83,"latest_published_at":88},"Startups","startups","2026-06-29T20:55:50.000Z",{"name":90,"slug":91,"count":92,"latest_published_at":93},"General","general",29,"2026-07-10T22:28:58.000Z",{"name":95,"slug":96,"count":97,"latest_published_at":98},"Reviews","reviews",20,"2026-06-24T12:00:01.000Z",{"name":100,"slug":101,"count":102,"latest_published_at":103},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]