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"schema_version": 1,
"title": "Repro - A Theoretical Framework for Statistical Evaluability of Generative Models",
"emoji": "🎯",
"space_id": "rdubwiley/a-theoretical-framework-for-statistical-repro",
"paper": {
"arxiv_id": "2604.05324"
},
"tags": [
"icml2026-repro",
"paper-A8AxU1GUUl"
],
"updated_at": "2026-07-19T02:44:07+00:00",
"root": {
"slug": "index",
"title": "Repro - A Theoretical Framework for Statistical Evaluability of Generative Models",
"file": "pages/index.md",
"children": [
{
"slug": "claim-1-integral-probability-metrics-ipms-with-bounded-test-class-can-be-evaluated-from-finite-samples-with-multiplicative-and",
"title": "Claim 1: Integral probability metrics (IPMs) with bounded test class can be evaluated from finite samples with multiplicative and",
"file": "pages/claim-1-integral-probability-metrics-ipms-with-bounded-test-class-can-be-evaluated-from-finite-samples-with-multiplicative-and/page.md",
"children": []
},
{
"slug": "claim-2-ipms-with-finite-fat-shattering-dimension-can-be-evaluated-with-arbitrary-precision",
"title": "Claim 2: IPMs with finite fat-shattering dimension can be evaluated with arbitrary precision",
"file": "pages/claim-2-ipms-with-finite-fat-shattering-dimension-can-be-evaluated-with-arbitrary-precision/page.md",
"children": []
},
{
"slug": "claim-3-r-nyi-and-kl-divergences-are-not-evaluable-from-finite-samples-as-their-values-are-critically-determined-by-rare-events",
"title": "Claim 3: Rényi and KL divergences are not evaluable from finite samples as their values are critically determined by rare events",
"file": "pages/claim-3-r-nyi-and-kl-divergences-are-not-evaluable-from-finite-samples-as-their-values-are-critically-determined-by-rare-events/page.md",
"children": []
},
{
"slug": "conclusion",
"title": "Conclusion",
"file": "pages/conclusion/page.md",
"children": []
}
]
},
"agent_view_tokens": 5165,
"revision": "1784429047339112716"
} |