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"schema_version": 1,
"title": "Repro - Balancing Learning Rates Across Layers",
"emoji": "🎯",
"space_id": "DineshAI/4vztmTrGhd",
"paper": {
"arxiv_id": "2606.00340",
"openreview_id": "4vztmTrGhd"
},
"tags": [
"icml2026-repro",
"paper-4vztmTrGhd"
],
"updated_at": "2026-07-18T09:00:58+00:00",
"root": {
"slug": "index",
"title": "Repro - Balancing Learning Rates Across Layers",
"file": "pages/index.md",
"children": [
{
"slug": "claim-1-asymmetry-then-balance",
"title": "Claim 1 — asymmetry then balance",
"file": "pages/claim-1-asymmetry-then-balance/page.md",
"children": []
},
{
"slug": "claim-2-exact-gradients-and-losses",
"title": "Claim 2 — exact gradients and losses",
"file": "pages/claim-2-exact-gradients-and-losses/page.md",
"children": []
},
{
"slug": "methods-environment",
"title": "Methods & environment",
"file": "pages/methods-environment/page.md",
"children": []
},
{
"slug": "negative-controls-falsification",
"title": "Negative controls & falsification",
"file": "pages/negative-controls-falsification/page.md",
"children": []
},
{
"slug": "conclusion",
"title": "Conclusion",
"file": "pages/conclusion/page.md",
"children": []
}
]
},
"agent_view_tokens": 2956,
"revision": "1784365258453726731"
} |