ruvector/examples/decompiler-dashboard/package.json
rUv 36f2599774 feat(training): source map extraction + v2 model (83.67% val accuracy)
- Extract 14,198 training pairs from 6,941 source maps in node_modules
- Train v2 model (4-layer, 192-dim, 6-head transformer, 1.9M params)
- Val accuracy: 83.67% (up from 75.72%), exact match: 12.3% (up from 0.1%)
- Export weights.bin (7.3MB) for Rust runtime inference
- Add decompiler dashboard (React + Tailwind + Vite)
- Add runnable RVF (7,350 vectors, 49 segments, witness chain)
- Update evaluate-model.py to support configurable model architectures
- All 13 Rust tests pass, all 45 RVF files have valid SFVR headers

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-03 04:57:47 +00:00

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{
"name": "decompiler-dashboard",
"private": true,
"version": "1.0.0",
"type": "module",
"scripts": {
"dev": "vite",
"build": "tsc -b && vite build",
"preview": "vite preview",
"prebuild:data": "node scripts/copy-research-data.mjs"
},
"dependencies": {
"react": "^18.3.1",
"react-dom": "^18.3.1",
"react-router-dom": "^6.26.2",
"highlight.js": "^11.10.0",
"js-beautify": "^1.15.1",
"jszip": "^3.10.1",
"diff": "^7.0.0"
},
"devDependencies": {
"@types/react": "^18.3.12",
"@types/react-dom": "^18.3.1",
"@types/diff": "^6.0.0",
"@vitejs/plugin-react": "^4.3.4",
"autoprefixer": "^10.4.20",
"postcss": "^8.4.49",
"tailwindcss": "^3.4.16",
"typescript": "^5.6.3",
"vite": "^6.0.3"
}
}