{ "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" }, "tags": [ "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", "children": [ { "slug": "executive-summary", "title": "Executive summary", "file": "pages/executive-summary/page.md", "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", "file": "pages/claim-6-mnist-robustness/page.md", "children": [] }, { "slug": "claim-7-methods-provenance", "title": "methods-provenance", "file": "pages/claim-7-methods-provenance/page.md", "children": [] }, { "slug": "claim-8-failure-boundaries", "title": "failure-boundaries", "file": "pages/claim-8-failure-boundaries/page.md", "children": [] }, { "slug": "conclusion", "title": "conclusion", "file": "pages/conclusion/page.md", "children": [] } ] }, "agent_view_tokens": 10591, "revision": "1785307864767950000" }