{ "schema_version": 2, "title": "Reproduction: Optimal structure learning and conditional independence testing", "emoji": "🎯", "space_id": "rcgp/repro-optimal-structure-learning-and-conditional-independence-testing", "paper": null, "tags": [ "icml2026-repro", "paper-21061" ], "updated_at": "2026-07-23T14:08:13+00:00", "root": { "slug": "index", "title": "Reproduction: Optimal structure learning and conditional independence testing", "file": "pages/index.md", "children": [ { "slug": "executive-summary", "title": "Executive Summary", "file": "pages/executive-summary/page.md", "children": [] }, { "slug": "claim-1-theorem-3-1-ci-testing-and-structure-learning-connection", "title": "Claim 1: Theorem 3.1 - CI Testing and Structure Learning Connection", "file": "pages/claim-1-theorem-3-1-ci-testing-and-structure-learning-connection/page.md", "children": [] }, { "slug": "claim-2-theorem-4-1-4-2-bernoulli-and-gaussian-models", "title": "Claim 2: Theorem 4.1/4.2 - Bernoulli and Gaussian Models", "file": "pages/claim-2-theorem-4-1-4-2-bernoulli-and-gaussian-models/page.md", "children": [] }, { "slug": "claim-3-theorem-5-1-nonparametric-models", "title": "Claim 3: Theorem 5.1 - Nonparametric Models", "file": "pages/claim-3-theorem-5-1-nonparametric-models/page.md", "children": [] }, { "slug": "claim-4-algorithm-1-pc-tree-algorithm-efficiency", "title": "Claim 4: Algorithm 1 - PC-tree Algorithm Efficiency", "file": "pages/claim-4-algorithm-1-pc-tree-algorithm-efficiency/page.md", "children": [] }, { "slug": "conclusion", "title": "Conclusion", "file": "pages/conclusion/page.md", "children": [] } ] }, "traces": [], "workspace": { "file": "workspace.json", "file_count": 0, "total_size": 0, "bucket_id": null }, "agent_view_tokens": 1397, "trace_view_tokens": 10, "workspace_view_tokens": 8, "revision": "cd3a7ea9ee578c36c4c9" }