{ "schema_version": 1, "title": "Repro - MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems", "emoji": "🎯", "space_id": "ParetoOptimal/repro-memorybench", "paper": { "arxiv_id": "2510.17281" }, "tags": [ "icml2026-repro", "paper-If4X4W2HWx" ], "updated_at": "2026-07-16T20:48:07+00:00", "root": { "slug": "index", "title": "Repro - MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems", "file": "pages/index.md", "children": [ { "slug": "paper-approach", "title": "Paper & approach", "file": "pages/paper-approach/page.md", "children": [] }, { "slug": "claim-1-three-module-framework", "title": "Claim 1: three-module framework", "file": "pages/claim-1-three-module-framework/page.md", "children": [] }, { "slug": "claim-2-dataset-composition", "title": "Claim 2: dataset composition", "file": "pages/claim-2-dataset-composition/page.md", "children": [] }, { "slug": "claim-3-memory-and-feedback-taxonomy", "title": "Claim 3: memory and feedback taxonomy", "file": "pages/claim-3-memory-and-feedback-taxonomy/page.md", "children": [] }, { "slug": "claim-4-advanced-memory-vs-simple-rag", "title": "Claim 4: advanced memory vs simple RAG", "file": "pages/claim-4-advanced-memory-vs-simple-rag/page.md", "children": [] }, { "slug": "claim-6-feedback-a-b", "title": "Claim 6: feedback A/B", "file": "pages/claim-6-feedback-a-b/page.md", "children": [] }, { "slug": "claim-5-efficiency-costs", "title": "Claim 5: efficiency costs", "file": "pages/claim-5-efficiency-costs/page.md", "children": [] }, { "slug": "conclusion", "title": "Conclusion", "file": "pages/conclusion/page.md", "children": [] } ] }, "agent_view_tokens": 12424, "revision": "1784234887582626392" }