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"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": []
}
]
},
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"revision": "1784234887582626392"
} |