{ "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" }