{ "schema_version": 1, "title": "Repro - FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment", "emoji": "🎯", "space_id": "Umong/repro-flexrank-nested-matrix-theorems", "paper": { "arxiv_id": "2602.02680" }, "tags": [ "icml2026-repro", "paper-DK0kvnNelx" ], "updated_at": "2026-07-17T13:06:40+00:00", "root": { "slug": "index", "title": "Repro - FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment", "file": "pages/index.md", "children": [ { "slug": "claim-1-post-training-selection-almost-surely-misses-nested-optima", "title": "Claim 1: Post-training selection almost surely misses nested optima", "file": "pages/claim-1-post-training-selection-almost-surely-misses-nested-optima/page.md", "children": [] }, { "slug": "claim-2-nested-subspace-learning-preserves-every-rank-minimizer", "title": "Claim 2: Nested subspace learning preserves every rank minimizer", "file": "pages/claim-2-nested-subspace-learning-preserves-every-rank-minimizer/page.md", "children": [] }, { "slug": "claim-3-all-subspaces-learning-has-a-positive-submodel-gap", "title": "Claim 3: All-subspaces learning has a positive submodel gap", "file": "pages/claim-3-all-subspaces-learning-has-a-positive-submodel-gap/page.md", "children": [] }, { "slug": "sources-protocol-and-integrity", "title": "Sources, protocol, and integrity", "file": "pages/sources-protocol-and-integrity/page.md", "children": [] }, { "slug": "conclusion", "title": "Conclusion", "file": "pages/conclusion/page.md", "children": [] }, { "slug": "flexrank-65469-repro", "title": "flexrank-65469-repro", "file": "pages/flexrank-65469-repro/page.md", "children": [] } ] }, "agent_view_tokens": 2527, "revision": "1784293600992582961" }