File size: 2,199 Bytes
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"schema_version": 1,
"title": "Reproduction: Learning When to Attend: Conditional Memory Access for Long-Context LLMs",
"emoji": "🎯",
"space_id": "keepsloading/repro-learning-when-to-attend-conditional-memory-access-for-long-context-llms",
"paper": {
"arxiv_id": "2603.17484"
},
"tags": [
"icml2026-repro",
"paper-UcGwFXWnbn",
"toy-scale-verified"
],
"updated_at": "2026-07-19T12:04:31+00:00",
"root": {
"slug": "index",
"title": "Reproduction: Learning When to Attend: Conditional Memory Access for Long-Context LLMs",
"file": "pages/index.md",
"children": [
{
"slug": "executive-summary",
"title": "executive-summary",
"file": "pages/executive-summary/page.md",
"children": []
},
{
"slug": "claim-1-l2a-preserves-quality-at-toy-scale-1-7b-model-8k-context",
"title": "Claim 1: L2A preserves quality at toy scale (1.7B model, 8K context)",
"file": "pages/claim-1-l2a-preserves-quality-at-toy-scale-1-7b-model-8k-context/page.md",
"children": []
},
{
"slug": "claim-2-algorithmic-verification-of-l2a-gating-logic",
"title": "Claim 2: Algorithmic verification of L2A gating logic",
"file": "pages/claim-2-algorithmic-verification-of-l2a-gating-logic/page.md",
"children": []
},
{
"slug": "claim-3-l2a-skips-global-attention-for-80-of-tokens",
"title": "Claim 3: L2A skips global attention for ~80% of tokens",
"file": "pages/claim-3-l2a-skips-global-attention-for-80-of-tokens/page.md",
"children": []
},
{
"slug": "claim-4-sparse-attention-pruning-reduces-kv-cache-by-50",
"title": "Claim 4: Sparse attention pruning reduces KV-cache by 50%",
"file": "pages/claim-4-sparse-attention-pruning-reduces-kv-cache-by-50/page.md",
"children": []
},
{
"slug": "conclusion",
"title": "Conclusion",
"file": "pages/conclusion/page.md",
"children": []
}
]
},
"agent_view_tokens": 3338,
"revision": "1784462671297273900"
} |