{ "schema_version": 1, "title": "Reproduction: Learning Randomized Reductions", "emoji": "🎯", "space_id": "Alogotron/repro-learning-randomized-reductions", "paper": { "arxiv_id": "2412.18134" }, "tags": [ "icml2026-repro", "paper-hCAEcqig2C" ], "updated_at": "2026-07-22T09:42:07+00:00", "root": { "slug": "index", "title": "Reproduction: Learning Randomized Reductions", "file": "pages/index.md", "children": [ { "slug": "executive-summary", "title": "Executive summary", "file": "pages/executive-summary/page.md", "children": [] }, { "slug": "claim-1-vanilla-bitween-discovers-rsrs-for-43-of-80-functions-54-in-rsr-bench-including-first-known-reduction-for-sigmoid", "title": "Claim 1: Vanilla Bitween discovers RSRs for 43 of 80 functions (54%) in RSR-Bench, including first known reduction for sigmoid", "file": "pages/claim-1-vanilla-bitween-discovers-rsrs-for-43-of-80-functions-54-in-rsr-bench-including-first-known-reduction-for-sigmoid/page.md", "children": [] }, { "slug": "claim-2-agentic-bitween-neuro-symbolic-approach-with-llm-agents-discovers-rsrs-for-64-of-80-functions-80", "title": "Claim 2: Agentic Bitween neuro-symbolic approach with LLM agents discovers RSRs for 64 of 80 functions (80%)", "file": "pages/claim-2-agentic-bitween-neuro-symbolic-approach-with-llm-agents-discovers-rsrs-for-64-of-80-functions-80/page.md", "children": [] }, { "slug": "claim-3-agentic-bitween-outperforms-pure-neural-baselines-in-both-rsr-discovery-and-verification-accuracy", "title": "Claim 3: Agentic Bitween outperforms pure neural baselines in both RSR discovery and verification accuracy", "file": "pages/claim-3-agentic-bitween-outperforms-pure-neural-baselines-in-both-rsr-discovery-and-verification-accuracy/page.md", "children": [] }, { "slug": "conclusion", "title": "Conclusion", "file": "pages/conclusion/page.md", "children": [] } ] }, "agent_view_tokens": 3853, "revision": "1784713327685251102" }