| { | |
| "schema_version": 2, | |
| "title": "Reproduction: Constrained Adaptive Rejection Sampling", | |
| "emoji": "🎯", | |
| "space_id": "algorise/repro-constrained-adaptive-rejection-sampling", | |
| "paper": { | |
| "arxiv_id": "2510.01902" | |
| }, | |
| "tags": [ | |
| "icml2026-repro", | |
| "paper-gLRqqQOM9K" | |
| ], | |
| "updated_at": "2026-08-03T07:34:32+00:00", | |
| "root": { | |
| "slug": "index", | |
| "title": "Reproduction: Constrained Adaptive Rejection Sampling", | |
| "file": "pages/index.md", | |
| "children": [ | |
| { | |
| "slug": "executive-summary", | |
| "title": "Executive summary", | |
| "file": "pages/executive-summary/page.md", | |
| "children": [] | |
| }, | |
| { | |
| "slug": "claim-1", | |
| "title": "Claim 1: Constrained Adaptive Rejection Sampling (CARS) strictly improves sample-efficiency of rejection sampling without distributional distortion", | |
| "file": "pages/claim-1/page.md", | |
| "children": [] | |
| }, | |
| { | |
| "slug": "claim-2", | |
| "title": "Claim 2: Adaptively rules out constraint-violating continuations via trie-based recording and probability subtraction", | |
| "file": "pages/claim-2/page.md", | |
| "children": [] | |
| }, | |
| { | |
| "slug": "claim-3", | |
| "title": "Claim 3: Ensures acceptance rates improve monotonically with samples exactly following constrained distribution", | |
| "file": "pages/claim-3/page.md", | |
| "children": [] | |
| }, | |
| { | |
| "slug": "conclusion", | |
| "title": "Conclusion", | |
| "file": "pages/conclusion/page.md", | |
| "children": [] | |
| } | |
| ] | |
| }, | |
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