| { |
| "schema_version": 1, |
| "title": "Efficient Stochastic Optimisation via Sequential Monte Carlo", |
| "emoji": "🎯", |
| "space_id": "SabaPivot/repro-efficient-stochastic-optimisation-via-sequential-monte-carlo", |
| "paper": { |
| "arxiv_id": "2601.22003" |
| }, |
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| "icml2026-repro", |
| "paper-hCIBCAS1Hi" |
| ], |
| "updated_at": "2026-07-29T15:23:30.020272+00:00", |
| "root": { |
| "slug": "index", |
| "title": "Efficient Stochastic Optimisation via Sequential Monte Carlo", |
| "file": "pages/index.md", |
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| { |
| "slug": "executive-summary", |
| "title": "Executive summary", |
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| "children": [] |
| }, |
| { |
| "slug": "claim-1-algorithm-1-mechanism", |
| "title": "claim-1-algorithm-1-mechanism", |
| "file": "pages/claim-1-algorithm-1-mechanism/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "claim-2-pl-convergence", |
| "title": "claim-2-pl-convergence", |
| "file": "pages/claim-2-pl-convergence/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "claim-3-ess-decay", |
| "title": "claim-3-ess-decay", |
| "file": "pages/claim-3-ess-decay/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "claim-4-langevin-reward-tuning", |
| "title": "claim-4-langevin-reward-tuning", |
| "file": "pages/claim-4-langevin-reward-tuning/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "claim-5-2d-ebm-benchmark", |
| "title": "claim-5-2d-ebm-benchmark", |
| "file": "pages/claim-5-2d-ebm-benchmark/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "claim-6-mnist-robustness", |
| "title": "claim-6-mnist-robustness", |
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| "children": [] |
| }, |
| { |
| "slug": "claim-7-methods-provenance", |
| "title": "methods-provenance", |
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| { |
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| "title": "failure-boundaries", |
| "file": "pages/claim-8-failure-boundaries/page.md", |
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| }, |
| { |
| "slug": "conclusion", |
| "title": "conclusion", |
| "file": "pages/conclusion/page.md", |
| "children": [] |
| } |
| ] |
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