{
  "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"
}