{ "schema_version": 1, "title": "Repro - FiBeR DP-Noise Attenuation (uMdZHVXdOL)", "emoji": "🔇", "space_id": "DineshAI/uMdZHVXdOL", "paper": { "arxiv_id": "2605.03425", "openreview_id": "uMdZHVXdOL", "title": "FiBeR: A Differentially Private Optimizer with Filter-Aware Innovation Bias Correction" }, "tags": [ "icml2026-repro", "paper-uMdZHVXdOL", "google-colab-g4", "gpu-rtx-pro-6000-blackwell" ], "updated_at": "2026-07-23T03:08:48+00:00", "root": { "slug": "index", "title": "Repro - FiBeR DP-Noise Attenuation (uMdZHVXdOL)", "file": "pages/index.md", "children": [ { "slug": "claim-attenuation", "title": "Claim 1 — Attenuation identity", "file": "pages/claim-attenuation/page.md", "children": [] }, { "slug": "methods-environment", "title": "Methods & hardware — CPU C1 + Colab G4 training", "file": "pages/methods-environment/page.md", "children": [] }, { "slug": "negative-controls", "title": "Negative controls", "file": "pages/negative-controls/page.md", "children": [] }, { "slug": "claim-2-dp-training-comparison", "title": "Claim 2 — prior reduced-scale MNIST comparison", "file": "pages/claim-2-dp-training-comparison/page.md", "children": [] }, { "slug": "claim-3-literal-attribution", "title": "Claim 3 — literal numeric-attribution audit", "file": "pages/claim-3-literal-attribution/page.md", "children": [] }, { "slug": "claim-2-cifar10-g4", "title": "Claim 2 — CNN5/CIFAR-10 G4 campaign", "file": "pages/claim-2-cifar10-g4/page.md", "children": [] }, { "slug": "claim-3-cifar100-g4", "title": "Claim 3 — WideResNet/CIFAR-100 G4 campaign", "file": "pages/claim-3-cifar100-g4/page.md", "children": [] }, { "slug": "claim-5-matched-compute-g4", "title": "Claim 5 — matched compute G4 campaign", "file": "pages/claim-5-matched-compute-g4/page.md", "children": [] }, { "slug": "claim-6-filter-ablation-g4", "title": "Claim 6 — filter ablation and omega sweep", "file": "pages/claim-6-filter-ablation-g4/page.md", "children": [] }, { "slug": "conclusion", "title": "Conclusion", "file": "pages/conclusion/page.md", "children": [] } ] }, "agent_view_tokens": 8000, "revision": "1784776128000000000" }