| { |
| "schema_version": 1, |
| "title": "Reproduction: Certificate-Guided Pruning for Stochastic Lipschitz Optimization", |
| "emoji": "🎯", |
| "space_id": "SabaPivot/repro-certificate-guided-pruning-for-stochastic-lipschitz-optimization", |
| "paper": { |
| "arxiv_id": "2601.20231" |
| }, |
| "tags": [ |
| "icml2026-repro", |
| "paper-9CqZoRWpoc" |
| ], |
| "updated_at": "2026-07-29T03:33:14.822635+00:00", |
| "root": { |
| "slug": "index", |
| "title": "Reproduction: Certificate-Guided Pruning for Stochastic Lipschitz Optimization", |
| "file": "pages/index.md", |
| "children": [ |
| { |
| "slug": "executive-summary", |
| "title": "Executive summary", |
| "file": "pages/executive-summary/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "claim-1-section-3-certificate-guided-pruning-maintains-explicit", |
| "title": "Claim 1: Section 3: Certificate-Guided Pruning maintains explicit", |
| "file": "pages/claim-1-section-3-certificate-guided-pruning-maintains-explicit/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "claim-2-theorem-4-6-margin-condition-near-optimality-dimension", |
| "title": "Claim 2: Theorem 4.6: margin condition near-optimality dimension", |
| "file": "pages/claim-2-theorem-4-6-margin-condition-near-optimality-dimension/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "claim-3-theorem-4-8-cgp-achieves-optimality-probability-least", |
| "title": "Claim 3: Theorem 4.8: CGP achieves -optimality probability least", |
| "file": "pages/claim-3-theorem-4-8-cgp-achieves-optimality-probability-least/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "claim-4-theorem-4-9-matching-lower-bound-algorithm-requires", |
| "title": "Claim 4: Theorem 4.9: matching lower bound algorithm requires", |
| "file": "pages/claim-4-theorem-4-9-matching-lower-bound-algorithm-requires/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "claim-5-theorem-5-1-cgp-adaptive-learns-lipschitz-constant", |
| "title": "Claim 5: Theorem 5.1: CGP-Adaptive learns Lipschitz constant", |
| "file": "pages/claim-5-theorem-5-1-cgp-adaptive-learns-lipschitz-constant/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "claim-6-theorem-6-1-cgp-tr-trust-region-variant-scales-dimension", |
| "title": "Claim 6: Theorem 6.1: CGP-TR trust-region variant scales dimension", |
| "file": "pages/claim-6-theorem-6-1-cgp-tr-trust-region-variant-scales-dimension/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "conclusion", |
| "title": "Conclusion", |
| "file": "pages/conclusion/page.md", |
| "children": [] |
| } |
| ] |
| }, |
| "agent_view_tokens": 11584, |
| "revision": "1784967890430892930" |
| } |
|
|
