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Update logbook: Repro - Janus-LoRA: A Balanced Low-Rank Adaptation for Continual Learning
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{
"schema_version": 1,
"title": "Repro - Janus-LoRA: A Balanced Low-Rank Adaptation for Continual Learning",
"emoji": "⚖️",
"space_id": "txus/repro-janus-lora-continual-learning",
"paper": {
"arxiv_id": "2605.28495"
},
"tags": [
"icml2026-repro",
"paper-XJ5r19iN9G"
],
"updated_at": "2026-07-17T00:37:45+00:00",
"root": {
"slug": "index",
"title": "Repro - Janus-LoRA: A Balanced Low-Rank Adaptation for Continual Learning",
"file": "pages/index.md",
"children": [
{
"slug": "claim-1-theorem-3-1-safe-gradient-projection",
"title": "Claim 1: Theorem 3.1 (Safe Gradient Projection)",
"file": "pages/claim-1-theorem-3-1-safe-gradient-projection/page.md",
"children": []
},
{
"slug": "claim-5-online-estimation-orthonormal-basis-k-50",
"title": "Claim 5: Online Estimation (orthonormal basis, k=50)",
"file": "pages/claim-5-online-estimation-orthonormal-basis-k-50/page.md",
"children": []
},
{
"slug": "claim-6-efficiency-identical-inference-flops",
"title": "Claim 6: Efficiency (identical inference FLOPs)",
"file": "pages/claim-6-efficiency-identical-inference-flops/page.md",
"children": []
},
{
"slug": "claims-2-4-imagenet-r-accuracy-bwt-ablation",
"title": "Claims 2-4: ImageNet-R accuracy, BWT & ablation",
"file": "pages/claims-2-4-imagenet-r-accuracy-bwt-ablation/page.md",
"children": []
},
{
"slug": "conclusion",
"title": "Conclusion",
"file": "pages/conclusion/page.md",
"children": []
}
]
},
"agent_view_tokens": 5212,
"revision": "1784248665510564000"
}