kappa mirror: ui + q closures (2357 objects, blake3-addressed) - U3 (part 5)

.gitattributes

@@ -104,3 +104,4 @@ b/4ad638420430db1bdd3051864a434b18e6fbc40cd6feb91ec48c873b6c23e82c filter=lfs di
 b/50cc95e131bb26b0837a6bfa44a62aff84fefcc21fb94118b099be12846fb87a filter=lfs diff=lfs merge=lfs -text
 b/6f89df7ac143f7be87409587aa86fdf9640c28f743871f15954544dda360c16c filter=lfs diff=lfs merge=lfs -text
 b/765a9f4b7f4975d323b6d2b03fc85c6240e533f89188b5c9c3712c774efd3a29 filter=lfs diff=lfs merge=lfs -text
+b/8c43519c6f672c286fcde80cb884165030ce3a62171181416642e24ca4462ab6 filter=lfs diff=lfs merge=lfs -text

b/7c94194f6ae258e7962b9038fde33f9ea83436fef34a9b6f2bd0aeb9a71832f9

@@ -0,0 +1,59 @@
+// holo-lora.mjs — a LoRA adapter as a κ-object + a deterministic test adapter shared by the GPU runtime
+// and the CPU witness. An adapter is the learned delta y += scale·B·(A·x) on top of a base linear; it is
+// content (per-layer A,B matrices) → content-addressed (its κ), shareable as a link, applied on-device.
+// genTestAdapter produces a small reproducible adapter (seeded LCG, identical in Node + browser) so the
+// GPU forward and the CPU oracle apply the SAME delta — proving adapter-inference parity.
+
+import { readHolo, writeHoloArchive } from "../holo-archive.mjs";
+
+const lcg = (seed) => { let s = (seed >>> 0) || 1; return () => { s = (Math.imul(s, 1103515245) + 12345) >>> 0; return (s / 4294967296 - 0.5) * 2; }; };
+
+// Open a LoRA adapter sealed as a .holo (writeHoloArchive): per-layer A/B loaded BY κ with per-body L5 +
+// footer L5 (a tampered body is REFUSED). Same rails as a model (readHolo store). Returns {meta, layers, footer}.
+export function openAdapterHolo(bytes) {
+  const h = readHolo(bytes);                              // footer L5 + per-body L5 store + meta
+  const m = h.meta, byName = new Map(m.order.map((o) => [o.name, o.kappa]));
+  const f32 = (name) => { const c = h.store.get(byName.get(name)).slice(); return new Float32Array(c.buffer, c.byteOffset, c.byteLength / 4); };  // each body re-derives its κ (L5) on get
+  const layers = [];
+  for (let L = 0; L < m.nLayer; L++) layers.push({ A: f32("blk." + L + ".A"), B: f32("blk." + L + ".B") });
+  return { meta: m, target: m.target, scale: m.scale, r: m.r, inn: m.inn, out: m.out, nLayer: m.nLayer, layers, footer: h.footer };
+}
+
+// adapter for ONE target module (e.g. attn_q) across all layers: layers[L] = {A:[r×inn], B:[out×r]}.
+export function genTestAdapter({ seed = 1, inn, out, r, nLayer, scale = 1.0, amp = 0.05 }) {
+  const layers = [];
+  for (let L = 0; L < nLayer; L++) {
+    const ra = lcg(seed * 100003 + L * 2 + 1), rb = lcg(seed * 100003 + L * 2 + 2);
+    const A = new Float32Array(r * inn); for (let i = 0; i < A.length; i++) A[i] = ra() * amp;
+    const B = new Float32Array(out * r); for (let i = 0; i < B.length; i++) B[i] = rb() * amp;
+    layers.push({ A, B });
+  }
+  return { target: "attn_q", scale, inn, out, r, nLayer, layers };
+}
+
+// Seal an adapter (genTestAdapter / a trained checkpoint) as a .holo that openAdapterHolo reads back byte-for-byte:
+// each per-layer A/B is a content body keyed by sha256(bytes) (L5 on get), meta carries {target,scale,r,inn,out,
+// nLayer,order}. Footer = sha256(everything) = the adapter's shareable did:holo (a tampered body is REFUSED on open).
+// sha256hex is injected (Node: holo-uor; browser: a hex-sha) so this stays DOM-free + dependency-free like the rest.
+export function sealAdapterHolo(ad, sha256hex) {
+  if (!ad || !ad.layers || !ad.nLayer) throw new Error("sealAdapterHolo: not an adapter");
+  const order = [], bodies = [];
+  const push = (name, f32) => {
+    const u8 = new Uint8Array(f32.buffer, f32.byteOffset, f32.byteLength);
+    const hex = sha256hex(u8); order.push({ name, kappa: hex }); bodies.push({ kappa: hex, bytes: u8 });
+  };
+  for (let L = 0; L < ad.nLayer; L++) { push("blk." + L + ".A", ad.layers[L].A); push("blk." + L + ".B", ad.layers[L].B); }
+  const meta = { format: "holo-lora/1", target: ad.target, scale: ad.scale, r: ad.r, inn: ad.inn, out: ad.out, nLayer: ad.nLayer, order };
+  return writeHoloArchive({ meta, bodies, extKey: "holo.lora" });   // { holo, footer, bytes }
+}
+
+// raw f32 footprint of an adapter's deltas (the lower bound the seal rounds up from). Pure arithmetic, no alloc.
+export function adapterBytes(ad) { let n = 0; for (const L of ad.layers) n += L.A.byteLength + L.B.byteLength; return n; }
+
+// content identity of an adapter: sha256 over its bytes (the shareable κ). sha256hex injected (Node/browser).
+export async function adapterKappa(ad, sha256hex) {
+  const parts = [];
+  for (const L of ad.layers) { parts.push(new Uint8Array(L.A.buffer, L.A.byteOffset, L.A.byteLength), new Uint8Array(L.B.buffer, L.B.byteOffset, L.B.byteLength)); }
+  let n = 0; for (const p of parts) n += p.length; const all = new Uint8Array(n); let o = 0; for (const p of parts) { all.set(p, o); o += p.length; }
+  return "sha256:" + (await sha256hex(all));
+}

b/7ca9db9c9f90d8c0cc7be6325ed12b23f192567a6a3609415468afa325191614

@@ -0,0 +1,27 @@
+{
+  "id": "org.hologram.ui.daisyui.toast",
+  "name": "daisyui-toast",
+  "tier": "component",
+  "library": "daisyui",
+  "category": "Feedback",
+  "upstream": "https://cdn.jsdelivr.net/npm/daisyui@5.5.23/components/toast.css",
+  "docs": "https://daisyui.com/components/toast/",
+  "did": "did:holo:sha256:ed44bab433cc3e19210a3fa442774c23b5c9e8fb1c6a0795ee834a33f1d982a4",
+  "import": "holo://sha256:ed44bab433cc3e19210a3fa442774c23b5c9e8fb1c6a0795ee834a33f1d982a4",
+  "integrity": "sha256-7US6tDPMPhkhCj+kQndMI7XJ6PscageV7oNKM/HZgqQ=",
+  "kappa": "sha256:ed44bab433cc3e19210a3fa442774c23b5c9e8fb1c6a0795ee834a33f1d982a4",
+  "moduleKappa": "sha256:ed44bab433cc3e19210a3fa442774c23b5c9e8fb1c6a0795ee834a33f1d982a4",
+  "renderExport": null,
+  "format": "css",
+  "source": "components/toast.css",
+  "module": "vendor/daisyui/components/toast.css",
+  "exports": [],
+  "bytes": 5002,
+  "provenance": {
+    "package": "daisyui",
+    "version": "5.5.23",
+    "integrity": "sha512-xuheNUSL4T6ZVtWXoioqcNkjoyGX85QTDz4HTw2aBPfqk4fuMjax5HDo8qCmpV6M1YN8bGvfx5BpYCoDeRlt+A==",
+    "file": "components/toast.css"
+  },
+  "license": "MIT"
+}

b/7cab59a17fdca534668351692972c446e784840ac6a3ada4c4c2bc98b90def21

@@ -0,0 +1,20 @@
+{
+  "id": "org.hologram.ui.example.form-tanstack-demo",
+  "name": "form-tanstack-demo",
+  "tier": "example",
+  "library": "shadcn",
+  "category": "Examples",
+  "upstream": "https://ui.shadcn.com/r/styles/new-york-v4/form-tanstack-demo.json",
+  "did": "did:holo:sha256:b0a54c0c1b1be29ea699c32f5b35c6fcbac60048a13cf452493ae3288bcf4c1a",
+  "import": "holo://sha256:1d653969206b17e1278428e9d49698ec0b2b52663c75fb0c671a48775a0ae870",
+  "integrity": "sha256-HWU5aSBrF+EnhCjp1JaY7AsrUmY8dfsMZxpId1oK6HA=",
+  "kappa": "sha256:b0a54c0c1b1be29ea699c32f5b35c6fcbac60048a13cf452493ae3288bcf4c1a",
+  "moduleKappa": "sha256:1d653969206b17e1278428e9d49698ec0b2b52663c75fb0c671a48775a0ae870",
+  "renderExport": "default",
+  "source": "registry/new-york-v4/examples/form-tanstack-demo.tsx",
+  "module": "vendor/components/form-tanstack-demo.js",
+  "exports": [
+    "default"
+  ],
+  "license": "MIT"
+}

b/7d0acc4f5ee3f54576205bf024c578ed0ffacddf5ffd9d0e0e74e0c06504f61f

@@ -0,0 +1 @@
+export default {".badge":{"@layer daisyui.l1.l2.l3":{"display":"inline-flex","align-items":"center","justify-content":"center","gap":"calc(0.25rem * 2)","border-radius":"var(--radius-selector)","vertical-align":"middle","color":"var(--badge-fg)","border":"var(--border) solid var(--badge-color, var(--color-base-200))","font-size":"0.875rem","width":"fit-content","background-size":"auto, calc(var(--noise) * 100%)","background-image":"none, var(--fx-noise)","background-color":"var(--badge-bg)","--badge-bg":"var(--badge-color, var(--color-base-100))","--badge-fg":"var(--color-base-content)","--size":"calc(var(--size-selector, 0.25rem) * 6)","height":"var(--size)","padding-inline":"calc(var(--size) / 2 - var(--border))"}},".badge-outline":{"@layer daisyui.l1.l2":{"color":"var(--badge-color)","--badge-bg":"#0000","background-image":"none","border-color":"currentColor"}},".badge-dash":{"@layer daisyui.l1.l2":{"color":"var(--badge-color)","--badge-bg":"#0000","background-image":"none","border-color":"currentColor","border-style":"dashed"}},".badge-soft":{"@layer daisyui.l1.l2":{"color":"var(--badge-color, var(--color-base-content))","background-color":"color-mix( in oklab, var(--badge-color, var(--color-base-content)) 8%, var(--color-base-100) )","border-color":"color-mix( in oklab, var(--badge-color, var(--color-base-content)) 10%, var(--color-base-100) )","background-image":"none"}},".badge-primary":{"@layer daisyui.l1.l2":{"--badge-color":"var(--color-primary)","--badge-fg":"var(--color-primary-content)"}},".badge-secondary":{"@layer daisyui.l1.l2":{"--badge-color":"var(--color-secondary)","--badge-fg":"var(--color-secondary-content)"}},".badge-accent":{"@layer daisyui.l1.l2":{"--badge-color":"var(--color-accent)","--badge-fg":"var(--color-accent-content)"}},".badge-neutral":{"@layer daisyui.l1.l2":{"--badge-color":"var(--color-neutral)","--badge-fg":"var(--color-neutral-content)"}},".badge-info":{"@layer daisyui.l1.l2":{"--badge-color":"var(--color-info)","--badge-fg":"var(--color-info-content)"}},".badge-success":{"@layer daisyui.l1.l2":{"--badge-color":"var(--color-success)","--badge-fg":"var(--color-success-content)"}},".badge-warning":{"@layer daisyui.l1.l2":{"--badge-color":"var(--color-warning)","--badge-fg":"var(--color-warning-content)"}},".badge-error":{"@layer daisyui.l1.l2":{"--badge-color":"var(--color-error)","--badge-fg":"var(--color-error-content)"}},".badge-ghost":{"@layer daisyui.l1.l2":{"border-color":"var(--color-base-200)","background-color":"var(--color-base-200)","color":"var(--color-base-content)","background-image":"none"}},".badge-xs":{"@layer daisyui.l1.l2":{"--size":"calc(var(--size-selector, 0.25rem) * 4)","font-size":"0.625rem"}},".badge-sm":{"@layer daisyui.l1.l2":{"--size":"calc(var(--size-selector, 0.25rem) * 5)","font-size":"0.75rem"}},".badge-md":{"@layer daisyui.l1.l2":{"--size":"calc(var(--size-selector, 0.25rem) * 6)","font-size":"0.875rem"}},".badge-lg":{"@layer daisyui.l1.l2":{"--size":"calc(var(--size-selector, 0.25rem) * 7)","font-size":"1rem"}},".badge-xl":{"@layer daisyui.l1.l2":{"--size":"calc(var(--size-selector, 0.25rem) * 8)","font-size":"1.125rem"}}};

b/7d2373b0423832c322df6e168c8f24f3d11b543644f9a348fc3bce587be41132

@@ -0,0 +1,20 @@
+{
+  "id": "org.hologram.ui.example.button-size",
+  "name": "button-size",
+  "tier": "example",
+  "library": "shadcn",
+  "category": "Examples",
+  "upstream": "https://ui.shadcn.com/r/styles/new-york-v4/button-size.json",
+  "did": "did:holo:sha256:bab639686b0e35b601d5a9917383a8a6c12bdc20ceed1a1ffd131d269b0d12c7",
+  "import": "holo://sha256:de054f7449af17466a7c252eaa8b8bdbbb88ef836b69e566eefd5e51528a0e9a",
+  "integrity": "sha256-3gVPdEmvF0ZqfCUuqouL27uI74NraeVm7v1eUVKKDpo=",
+  "kappa": "sha256:bab639686b0e35b601d5a9917383a8a6c12bdc20ceed1a1ffd131d269b0d12c7",
+  "moduleKappa": "sha256:de054f7449af17466a7c252eaa8b8bdbbb88ef836b69e566eefd5e51528a0e9a",
+  "renderExport": "default",
+  "source": "registry/new-york-v4/examples/button-size.tsx",
+  "module": "vendor/components/button-size.js",
+  "exports": [
+    "default"
+  ],
+  "license": "MIT"
+}

b/7d36638ce776a6d44cea84846d1d498e7ae257f789ae7d542f3922f540a3ec27

@@ -0,0 +1,94 @@
+"use client"
+
+import { Bar, BarChart, XAxis } from "recharts"
+
+import {
+  Card,
+  CardContent,
+  CardDescription,
+  CardHeader,
+  CardTitle,
+} from "@/registry/new-york-v4/ui/card"
+import {
+  ChartContainer,
+  ChartTooltip,
+  ChartTooltipContent,
+  type ChartConfig,
+} from "@/registry/new-york-v4/ui/chart"
+
+export const description = "A stacked bar chart with a legend"
+
+const chartData = [
+  { date: "2024-07-15", running: 450, swimming: 300 },
+  { date: "2024-07-16", running: 380, swimming: 420 },
+  { date: "2024-07-17", running: 520, swimming: 120 },
+  { date: "2024-07-18", running: 140, swimming: 550 },
+  { date: "2024-07-19", running: 600, swimming: 350 },
+  { date: "2024-07-20", running: 480, swimming: 400 },
+]
+
+const chartConfig = {
+  running: {
+    label: "Running",
+    color: "var(--chart-1)",
+  },
+  swimming: {
+    label: "Swimming",
+    color: "var(--chart-2)",
+  },
+} satisfies ChartConfig
+
+export function ChartTooltipLabelFormatter() {
+  return (
+    <Card>
+      <CardHeader>
+        <CardTitle>Tooltip - Label Formatter</CardTitle>
+        <CardDescription>Tooltip with label formatter.</CardDescription>
+      </CardHeader>
+      <CardContent>
+        <ChartContainer config={chartConfig}>
+          <BarChart accessibilityLayer data={chartData}>
+            <XAxis
+              dataKey="date"
+              tickLine={false}
+              tickMargin={10}
+              axisLine={false}
+              tickFormatter={(value) => {
+                return new Date(value).toLocaleDateString("en-US", {
+                  weekday: "short",
+                })
+              }}
+            />
+            <Bar
+              dataKey="running"
+              stackId="a"
+              fill="var(--color-running)"
+              radius={[0, 0, 4, 4]}
+            />
+            <Bar
+              dataKey="swimming"
+              stackId="a"
+              fill="var(--color-swimming)"
+              radius={[4, 4, 0, 0]}
+            />
+            <ChartTooltip
+              content={
+                <ChartTooltipContent
+                  labelFormatter={(value) => {
+                    return new Date(value).toLocaleDateString("en-US", {
+                      day: "numeric",
+                      month: "long",
+                      year: "numeric",
+                    })
+                  }}
+                />
+              }
+              cursor={false}
+              defaultIndex={1}
+            />
+          </BarChart>
+        </ChartContainer>
+      </CardContent>
+    </Card>
+  )
+}

b/7d465442a594e690fcadfee764aba9e1c5e4d75f83a1e9166d08c71aeeae16c7

@@ -0,0 +1,20 @@
+{
+  "id": "org.hologram.ui.example.toggle-group-single",
+  "name": "toggle-group-single",
+  "tier": "example",
+  "library": "shadcn",
+  "category": "Examples",
+  "upstream": "https://ui.shadcn.com/r/styles/new-york-v4/toggle-group-single.json",
+  "did": "did:holo:sha256:38866c073dd15ceab478c25fcb9c0686840e60643356ff073328cc731858d1fc",
+  "import": "holo://sha256:7f2fe19b817da06e49bef5df3e04f6ce1f045923e495fd9b44925216b0fd0a0e",
+  "integrity": "sha256-fy/hm4F9oG5JvvXfPgT2zh8EWSPklf2bRJJSFrD9Cg4=",
+  "kappa": "sha256:38866c073dd15ceab478c25fcb9c0686840e60643356ff073328cc731858d1fc",
+  "moduleKappa": "sha256:7f2fe19b817da06e49bef5df3e04f6ce1f045923e495fd9b44925216b0fd0a0e",
+  "renderExport": "default",
+  "source": "registry/new-york-v4/examples/toggle-group-single.tsx",
+  "module": "vendor/components/toggle-group-single.js",
+  "exports": [
+    "default"
+  ],
+  "license": "MIT"
+}

b/7d75cd08318bc3da6ef6e01d223d2aa5e9bd402960c894937cb908939978ddf1

@@ -0,0 +1,64 @@
+import * as React from "react"
+import { cva, type VariantProps } from "class-variance-authority"
+import { Slot } from "radix-ui"
+
+import { cn } from "@/lib/utils"
+
+const buttonVariants = cva(
+  "inline-flex shrink-0 items-center justify-center gap-2 rounded-md text-sm font-medium whitespace-nowrap transition-all outline-none focus-visible:border-ring focus-visible:ring-[3px] focus-visible:ring-ring/50 disabled:pointer-events-none disabled:opacity-50 aria-invalid:border-destructive aria-invalid:ring-destructive/20 dark:aria-invalid:ring-destructive/40 [&_svg]:pointer-events-none [&_svg]:shrink-0 [&_svg:not([class*='size-'])]:size-4",
+  {
+    variants: {
+      variant: {
+        default: "bg-primary text-primary-foreground hover:bg-primary/90",
+        destructive:
+          "bg-destructive text-white hover:bg-destructive/90 focus-visible:ring-destructive/20 dark:bg-destructive/60 dark:focus-visible:ring-destructive/40",
+        outline:
+          "border bg-background shadow-xs hover:bg-accent hover:text-accent-foreground dark:border-input dark:bg-input/30 dark:hover:bg-input/50",
+        secondary:
+          "bg-secondary text-secondary-foreground hover:bg-secondary/80",
+        ghost:
+          "hover:bg-accent hover:text-accent-foreground dark:hover:bg-accent/50",
+        link: "text-primary underline-offset-4 hover:underline",
+      },
+      size: {
+        default: "h-9 px-4 py-2 has-[>svg]:px-3",
+        xs: "h-6 gap-1 rounded-md px-2 text-xs has-[>svg]:px-1.5 [&_svg:not([class*='size-'])]:size-3",
+        sm: "h-8 gap-1.5 rounded-md px-3 has-[>svg]:px-2.5",
+        lg: "h-10 rounded-md px-6 has-[>svg]:px-4",
+        icon: "size-9",
+        "icon-xs": "size-6 rounded-md [&_svg:not([class*='size-'])]:size-3",
+        "icon-sm": "size-8",
+        "icon-lg": "size-10",
+      },
+    },
+    defaultVariants: {
+      variant: "default",
+      size: "default",
+    },
+  }
+)
+
+function Button({
+  className,
+  variant = "default",
+  size = "default",
+  asChild = false,
+  ...props
+}: React.ComponentProps<"button"> &
+  VariantProps<typeof buttonVariants> & {
+    asChild?: boolean
+  }) {
+  const Comp = asChild ? Slot.Root : "button"
+
+  return (
+    <Comp
+      data-slot="button"
+      data-variant={variant}
+      data-size={size}
+      className={cn(buttonVariants({ variant, size, className }))}
+      {...props}
+    />
+  )
+}
+
+export { Button, buttonVariants }

b/7d7e23cb1a98743e844e2c81ff60f53a0722fbc729a5771eb1941d47464867b3

@@ -0,0 +1,7 @@
+import table from './object.js';
+import { addPrefix } from '../../functions/addPrefix.js';
+
+export default ({ addComponents, prefix = '' }) => {
+  const prefixedtable = addPrefix(table, prefix);
+  addComponents({ ...prefixedtable });
+};

b/7d9f323cce0ac6bfd8632416fa50954d5ffb775b9e6f177989b26a15513cac07

@@ -0,0 +1,7 @@
+import loading from './object.js';
+import { addPrefix } from '../../functions/addPrefix.js';
+
+export default ({ addComponents, prefix = '' }) => {
+  const prefixedloading = addPrefix(loading, prefix);
+  addComponents({ ...prefixedloading });
+};

b/7dc50be3dfe0ebc2d723c2776efe39b4aec0b229ca831504e7a51a8f0f8fa545

@@ -0,0 +1,67 @@
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Ya=Co(zo);function qe(...e){return Ya(Fe(e))}var et=e=>typeof e=="boolean"?`${e}`:e===0?"0":e,at=Fe,tt=(e,t)=>a=>{var o;if(t?.variants==null)return at(e,a?.class,a?.className);let{variants:r,defaultVariants:l}=t,u=Object.keys(r).map(d=>{let p=a?.[d],m=l?.[d];if(p===null)return null;let g=et(p)||et(m);return r[d][g]}),s=a&&Object.entries(a).reduce((d,p)=>{let[m,g]=p;return g===void 0||(d[m]=g),d},{}),n=t==null||(o=t.compoundVariants)===null||o===void 0?void 0:o.reduce((d,p)=>{let{class:m,className:g,...h}=p;return Object.entries(h).every(k=>{let[C,I]=k;return Array.isArray(I)?I.includes({...l,...s}[C]):{...l,...s}[C]===I})?[...d,m,g]:d},[]);return at(e,u,n,a?.class,a?.className)};import{jsx as xl}from"react/jsx-runtime";var ot=tt("inline-flex items-center justify-center gap-2 rounded-md text-sm font-medium whitespace-nowrap transition-[color,box-shadow] outline-none hover:bg-muted hover:text-muted-foreground focus-visible:border-ring focus-visible:ring-[3px] focus-visible:ring-ring/50 disabled:pointer-events-none disabled:opacity-50 aria-invalid:border-destructive aria-invalid:ring-destructive/20 data-[state=on]:bg-accent data-[state=on]:text-accent-foreground dark:aria-invalid:ring-destructive/40 [&_svg]:pointer-events-none [&_svg]:shrink-0 [&_svg:not([class*='size-'])]:size-4",{variants:{variant:{default:"bg-transparent",outline:"border border-input bg-transparent shadow-xs hover:bg-accent hover:text-accent-foreground"},size:{default:"h-9 min-w-9 px-2",sm:"h-8 min-w-8 px-1.5",lg:"h-10 min-w-10 px-2.5"}},defaultVariants:{variant:"default",size:"default"}});import{jsx as Ye}from"react/jsx-runtime";var rt=Oe.createContext({size:"default",variant:"default",spacing:0});function lt({className:e,variant:t,size:a,spacing:o=0,children:r,...l}){return Ye(me.Root,{"data-slot":"toggle-group","data-variant":t,"data-size":a,"data-spacing":o,style:{"--gap":o},className:qe("group/toggle-group flex w-fit items-center gap-[--spacing(var(--gap))] rounded-md data-[spacing=default]:data-[variant=outline]:shadow-xs",e),...l,children:Ye(rt.Provider,{value:{variant:t,size:a,spacing:o},children:r})})}function Ue({className:e,children:t,variant:a,size:o,...r}){let l=Oe.useContext(rt);return Ye(me.Item,{"data-slot":"toggle-group-item","data-variant":l.variant||a,"data-size":l.size||o,"data-spacing":l.spacing,className:qe(ot({variant:l.variant||a,size:l.size||o}),"w-auto min-w-0 shrink-0 px-3 focus:z-10 focus-visible:z-10","data-[spacing=0]:rounded-none data-[spacing=0]:shadow-none data-[spacing=0]:first:rounded-l-md data-[spacing=0]:last:rounded-r-md data-[spacing=0]:data-[variant=outline]:border-l-0 data-[spacing=0]:data-[variant=outline]:first:border-l",e),...r,children:t})}import{jsx as se,jsxs as Wo}from"react/jsx-runtime";function Vo(){return Wo(lt,{type:"single",size:"sm",children:[se(Ue,{value:"bold","aria-label":"Toggle bold",children:se(fe,{className:"h-4 w-4"})}),se(Ue,{value:"italic","aria-label":"Toggle italic",children:se(ie,{className:"h-4 w-4"})}),se(Ue,{value:"strikethrough","aria-label":"Toggle strikethrough",children:se(ne,{className:"h-4 w-4"})})]})}export{Vo as default};
+/*! Bundled license information:
+
+lucide-react/dist/esm/shared/src/utils.js:
+  (**
+   * @license lucide-react v0.456.0 - ISC
+   *
+   * This source code is licensed under the ISC license.
+   * See the LICENSE file in the root directory of this source tree.
+   *)
+
+lucide-react/dist/esm/defaultAttributes.js:
+  (**
+   * @license lucide-react v0.456.0 - ISC
+   *
+   * This source code is licensed under the ISC license.
+   * See the LICENSE file in the root directory of this source tree.
+   *)
+
+lucide-react/dist/esm/Icon.js:
+  (**
+   * @license lucide-react v0.456.0 - ISC
+   *
+   * This source code is licensed under the ISC license.
+   * See the LICENSE file in the root directory of this source tree.
+   *)
+
+lucide-react/dist/esm/createLucideIcon.js:
+  (**
+   * @license lucide-react v0.456.0 - ISC
+   *
+   * This source code is licensed under the ISC license.
+   * See the LICENSE file in the root directory of this source tree.
+   *)
+
+lucide-react/dist/esm/icons/bold.js:
+  (**
+   * @license lucide-react v0.456.0 - ISC
+   *
+   * This source code is licensed under the ISC license.
+   * See the LICENSE file in the root directory of this source tree.
+   *)
+
+lucide-react/dist/esm/icons/italic.js:
+  (**
+   * @license lucide-react v0.456.0 - ISC
+   *
+   * This source code is licensed under the ISC license.
+   * See the LICENSE file in the root directory of this source tree.
+   *)
+
+lucide-react/dist/esm/icons/underline.js:
+  (**
+   * @license lucide-react v0.456.0 - ISC
+   *
+   * This source code is licensed under the ISC license.
+   * See the LICENSE file in the root directory of this source tree.
+   *)
+
+lucide-react/dist/esm/lucide-react.js:
+  (**
+   * @license lucide-react v0.456.0 - ISC
+   *
+   * This source code is licensed under the ISC license.
+   * See the LICENSE file in the root directory of this source tree.
+   *)
+*/

b/7de0257cdb542f26c13df7d2618952a0eceee269bb39112913cd9e119e81e9aa

@@ -0,0 +1,38 @@
+import {
+  NativeSelect,
+  NativeSelectOptGroup,
+  NativeSelectOption,
+} from "@/registry/new-york-v4/ui/native-select"
+
+export default function NativeSelectGroups() {
+  return (
+    <NativeSelect>
+      <NativeSelectOption value="">Select department</NativeSelectOption>
+      <NativeSelectOptGroup label="Engineering">
+        <NativeSelectOption value="frontend">Frontend</NativeSelectOption>
+        <NativeSelectOption value="backend">Backend</NativeSelectOption>
+        <NativeSelectOption value="devops">DevOps</NativeSelectOption>
+      </NativeSelectOptGroup>
+      <NativeSelectOptGroup label="Sales">
+        <NativeSelectOption value="sales-rep">Sales Rep</NativeSelectOption>
+        <NativeSelectOption value="account-manager">
+          Account Manager
+        </NativeSelectOption>
+        <NativeSelectOption value="sales-director">
+          Sales Director
+        </NativeSelectOption>
+      </NativeSelectOptGroup>
+      <NativeSelectOptGroup label="Operations">
+        <NativeSelectOption value="support">
+          Customer Support
+        </NativeSelectOption>
+        <NativeSelectOption value="product-manager">
+          Product Manager
+        </NativeSelectOption>
+        <NativeSelectOption value="ops-manager">
+          Operations Manager
+        </NativeSelectOption>
+      </NativeSelectOptGroup>
+    </NativeSelect>
+  )
+}

b/7dec6f767bc56b6ca4d8a9b1466668b610487ddadbffd8af1ad3e207ec69de75

@@ -0,0 +1,138 @@
+// Warm residency + multi-source witness (S4 of sparse expert streaming).
+// Using the per-expert κ directory + a resident multi-source store, prove the three
+// honest regimes: COLD (first forward fetches routed experts from a source, verified),
+// WARM (a second forward of the same prompt fetches ZERO blocks — served from L3
+// residency), and HOT-SET (an overlapping prompt fetches ONLY the newly-routed experts,
+// strictly fewer than a cold load). Plus multi-source: a corrupt source is refused by
+// re-derivation and the next source serves the block; if every source is corrupt the
+// load fails closed. Logits are identical across every regime (residency is memoization).
+
+import assert from "node:assert";
+import { forgeGguf, mapStore, loadByKappa } from "./gguf-forge.mjs";
+import { synthesizeGraph } from "./gguf-forge-graph.mjs";
+import { forward } from "./gguf-forge-exec.mjs";
+import { GGML } from "./gguf-forge-dequant.mjs";
+import { buildExpertDirectory, expertKappa } from "./gguf-forge-expert-dir.mjs";
+import { makeResidentStore, asSource } from "./gguf-forge-kstore.mjs";
+import { sha256hex } from "../../../../holo-os/system/os/usr/lib/holo/holo-uor.mjs";
+
+let pass = 0, fail = 0;
+const t = (name, fn) => { try { fn(); pass++; console.log("  ok  " + name); } catch (e) { fail++; console.log("FAIL  " + name + "\n      " + e.message); } };
+
+const D = 8, NH = 2, NHKV = 1, HD = 4, FF = 6, VOCAB = 5, E = 4, USED = 2, EPS = 1e-6, FREQ = 10000;
+const QD = NH * HD, KV = NHKV * HD;
+const hexOf = (k) => String(k).split(":").pop();
+function prng(seed) { let s = seed >>> 0; return () => { s = (s * 1664525 + 1013904223) >>> 0; return (s / 4294967296) * 2 - 1; }; }
+const randF = (r, n, scale = 0.3) => { const a = new Float32Array(n); for (let i = 0; i < n; i++) a[i] = r() * scale; return a; };
+const f32bytes = (arr) => new Uint8Array(arr.buffer.slice(arr.byteOffset, arr.byteOffset + arr.byteLength));
+
+function buildGguf(meta, tensors) {
+  const ALIGN = 32; let off = 0;
+  const infos = tensors.map((tn) => { const o = off; off = Math.ceil((o + tn.bytes.length) / ALIGN) * ALIGN; return { ...tn, offset: o }; });
+  let parts = [], len = 0; const push = (b) => { parts.push(b); len += b.length; };
+  const u32 = (v) => { const b = new Uint8Array(4); new DataView(b.buffer).setUint32(0, v >>> 0, true); push(b); };
+  const f32 = (v) => { const b = new Uint8Array(4); new DataView(b.buffer).setFloat32(0, v, true); push(b); };
+  const u64 = (v) => { const b = new Uint8Array(8); const dv = new DataView(b.buffer); dv.setUint32(0, v >>> 0, true); dv.setUint32(4, Math.floor(v / 4294967296), true); push(b); };
+  const str = (s) => { const e = new TextEncoder().encode(s); u64(e.length); push(e); };
+  push(new TextEncoder().encode("GGUF")); u32(3); u64(tensors.length); u64(Object.keys(meta).length);
+  for (const [k, val] of Object.entries(meta)) { str(k); if (typeof val === "string") { u32(8); str(val); } else if (Number.isInteger(val) && val >= 0 && val < 4294967296) { u32(4); u32(val); } else { u32(6); f32(val); } }
+  for (const ti of infos) { str(ti.name); u32(ti.dims.length); for (const d of ti.dims) u64(d); u32(ti.type); u64(ti.offset); }
+  if (len % ALIGN) push(new Uint8Array(ALIGN - (len % ALIGN)));
+  const dataStart = len;
+  for (const ti of infos) { while (len < dataStart + ti.offset) push(new Uint8Array(1)); push(ti.bytes); }
+  const out = new Uint8Array(len); let o = 0; for (const p of parts) { out.set(p, o); o += p.length; } return out;
+}
+function forgeMoe() {
+  const r = prng(7);
+  const w = {
+    tok_embd: randF(r, VOCAB * D), output_norm: randF(r, D).map((x) => Math.abs(x) + 0.5), output: randF(r, VOCAB * D),
+    attn_norm: randF(r, D).map((x) => Math.abs(x) + 0.5), ffn_norm: randF(r, D).map((x) => Math.abs(x) + 0.5),
+    wq: randF(r, QD * D), wk: randF(r, KV * D), wv: randF(r, KV * D), wo: randF(r, D * QD),
+    gate_inp: randF(r, E * D), gate_exps: randF(r, E * FF * D), up_exps: randF(r, E * FF * D), down_exps: randF(r, E * D * FF),
+  };
+  const meta = {
+    "general.architecture": "llama", "llama.block_count": 1, "llama.embedding_length": D,
+    "llama.attention.head_count": NH, "llama.attention.head_count_kv": NHKV, "llama.attention.key_length": HD,
+    "llama.feed_forward_length": FF, "llama.expert_count": E, "llama.expert_used_count": USED,
+    "llama.expert_feed_forward_length": FF, "llama.rope.freq_base": FREQ, "llama.attention.layer_norm_rms_epsilon": EPS,
+  };
+  const T = [
+    ["token_embd.weight", [D, VOCAB], w.tok_embd], ["output_norm.weight", [D], w.output_norm], ["output.weight", [D, VOCAB], w.output],
+    ["blk.0.attn_norm.weight", [D], w.attn_norm], ["blk.0.attn_q.weight", [D, QD], w.wq], ["blk.0.attn_k.weight", [D, KV], w.wk],
+    ["blk.0.attn_v.weight", [D, KV], w.wv], ["blk.0.attn_output.weight", [QD, D], w.wo], ["blk.0.ffn_norm.weight", [D], w.ffn_norm],
+    ["blk.0.ffn_gate_inp.weight", [D, E], w.gate_inp],
+    ["blk.0.ffn_gate_exps.weight", [D, FF, E], w.gate_exps], ["blk.0.ffn_up_exps.weight", [D, FF, E], w.up_exps], ["blk.0.ffn_down_exps.weight", [FF, D, E], w.down_exps],
+  ];
+  return forgeGguf(buildGguf(meta, T.map(([name, dims, arr]) => ({ name, type: GGML.F32, dims, bytes: f32bytes(arr) }))));
+}
+
+// shared fixture: forge + graph + dir + a "peer" source holding every block.
+function fixture() {
+  const forge = forgeMoe();
+  const graph = synthesizeGraph(forge.plan);
+  const { dir, expertBlocks } = buildExpertDirectory(forge);
+  const peer = new Map([...forge.blocks, ...expertBlocks]);     // a remote source with all blocks
+  const ref = forward(forge.plan, graph, mapStore(peer), [1]);  // whole-stack reference logits for [1]
+  return { forge, graph, dir, peer, ref };
+}
+const run = (f, store, tokens) => forward(f.forge.plan, f.graph, store, tokens, { expertDir: f.dir });
+const sameLogits = (a, b) => { assert.strictEqual(a.length, b.length); for (let i = 0; i < a.length; i++) assert.strictEqual(a[i], b[i], `logit ${i}`); };
+
+t("COLD then WARM: a second forward of the same prompt fetches ZERO blocks (L3)", () => {
+  const f = fixture();
+  const resident = new Map();
+  const cold = makeResidentStore({ sources: [asSource(f.peer)], resident });
+  const lc = run(f, cold, [1]);
+  assert.ok(cold.stats.fetched > 0 && cold.stats.refused === 0, "cold fetched + verified from peer");
+  assert.strictEqual(cold.stats.verified, cold.stats.fetched, "every fetched block re-derived");
+
+  const warm = makeResidentStore({ sources: [asSource(f.peer)], resident });  // SAME resident Map
+  const lw = run(f, warm, [1]);
+  assert.strictEqual(warm.stats.fetched, 0, "warm: zero source fetches");
+  assert.ok(warm.stats.hits > 0, "served entirely from residency");
+  sameLogits(lc, lw); sameLogits(lc, f.ref);
+  console.log(`      regimes: cold fetched ${cold.stats.fetched} blocks · warm fetched 0`);
+});
+
+t("HOT-SET: an overlapping prompt fetches ONLY the newly-routed experts (< cold)", () => {
+  const f = fixture();
+  // cold load of prompt [2] from scratch — the baseline to beat
+  const coldP2 = makeResidentStore({ sources: [asSource(f.peer)], resident: new Map() });
+  run(f, coldP2, [2]);
+
+  // warm on [1], then run overlapping [2] against the warmed residency
+  const resident = new Map();
+  run(f, makeResidentStore({ sources: [asSource(f.peer)], resident }), [1]);
+  const before = resident.size;
+  const hot = makeResidentStore({ sources: [asSource(f.peer)], resident });
+  run(f, hot, [2]);
+  const growth = resident.size - before;
+  assert.strictEqual(hot.stats.fetched, growth, "fetched exactly the blocks newly added to residency");
+  assert.ok(hot.stats.fetched < coldP2.stats.fetched, `hot ${hot.stats.fetched} < cold ${coldP2.stats.fetched} (shared trunk + experts)`);
+  console.log(`      regimes: cold[2] ${coldP2.stats.fetched} · hot[2 after 1] ${hot.stats.fetched}`);
+});
+
+t("MULTI-SOURCE: a corrupt source is refused by re-derivation; the next source serves it", () => {
+  const f = fixture();
+  // learn which expert [1] routes, then corrupt that expert's gate slice on source 0
+  let sel = null;
+  forward(f.forge.plan, f.graph, mapStore(f.peer), [1], { expertDir: f.dir, onExpertSelect: (_k, s) => { sel = s.slice(); } });
+  const targetHex = hexOf(expertKappa(f.dir, "blk.0.ffn_gate_exps.weight", sel[0]));
+  const corrupt = (src, hex) => { const m = new Map(src); const bad = m.get(hex).slice(); bad[0] ^= 0xff; m.set(hex, bad); return m; };
+
+  const src0 = corrupt(f.peer, targetHex);                        // everything right except the target block
+  const src1 = f.peer;                                            // correct fallback
+  const store = makeResidentStore({ sources: [asSource(src0), asSource(src1)], resident: new Map() });
+  const l = run(f, store, [1]);
+  sameLogits(l, f.ref);                                           // correct result despite a bad source
+  assert.ok(store.stats.refused >= 1, "the corrupt block was refused");
+  assert.ok(store.stats.perSource[1] >= 1, "the target was served from the fallback source");
+
+  // if EVERY source is corrupt for a needed block, the load fails closed
+  const allBad0 = corrupt(f.peer, targetHex), allBad1 = corrupt(f.peer, targetHex);
+  const store2 = makeResidentStore({ sources: [asSource(allBad0), asSource(allBad1)], resident: new Map() });
+  assert.throws(() => run(f, store2, [1]), /not found/, "no good source → fail closed");
+});
+
+console.log(`\n${pass} passed, ${fail} failed`);
+process.exit(fail ? 1 : 0);

b/7df3f984b8b390d4f7bd37919880eb578b768135c6e28febc7cf0c7e12db34c0

@@ -0,0 +1 @@
+import{jsx as a}from"react/jsx-runtime";function l(){return a("small",{className:"text-sm leading-none font-medium",children:"Email address"})}export{l as default};

b/7df7b2aed777965801d0c53ccc30aebe168222d4dc7f9655cfab4c0f42304cd7

@@ -0,0 +1,7 @@
+import collapse from './object.js';
+import { addPrefix } from '../../functions/addPrefix.js';
+
+export default ({ addComponents, prefix = '' }) => {
+  const prefixedcollapse = addPrefix(collapse, prefix);
+  addComponents({ ...prefixedcollapse });
+};

b/7e15964d1bb887e39bb9edebbdcdee192d9b938a8782a8183d07c373034b150b

@@ -0,0 +1,27 @@
+{
+  "id": "org.hologram.ui.daisyui.radio",
+  "name": "daisyui-radio",
+  "tier": "component",
+  "library": "daisyui",
+  "category": "Forms & Inputs",
+  "upstream": "https://cdn.jsdelivr.net/npm/daisyui@5.5.23/components/radio.css",
+  "docs": "https://daisyui.com/components/radio/",
+  "did": "did:holo:sha256:54ef8eb5f6cacfa5c4b0cf7660d9f1f21394dbbbbc6dfe9f4c45721328bbcea4",
+  "import": "holo://sha256:54ef8eb5f6cacfa5c4b0cf7660d9f1f21394dbbbbc6dfe9f4c45721328bbcea4",
+  "integrity": "sha256-VO+OtfbKz6XEsM92YNnx8hOU27u8bf6fTEVyEyi7zqQ=",
+  "kappa": "sha256:54ef8eb5f6cacfa5c4b0cf7660d9f1f21394dbbbbc6dfe9f4c45721328bbcea4",
+  "moduleKappa": "sha256:54ef8eb5f6cacfa5c4b0cf7660d9f1f21394dbbbbc6dfe9f4c45721328bbcea4",
+  "renderExport": null,
+  "format": "css",
+  "source": "components/radio.css",
+  "module": "vendor/daisyui/components/radio.css",
+  "exports": [],
+  "bytes": 15238,
+  "provenance": {
+    "package": "daisyui",
+    "version": "5.5.23",
+    "integrity": "sha512-xuheNUSL4T6ZVtWXoioqcNkjoyGX85QTDz4HTw2aBPfqk4fuMjax5HDo8qCmpV6M1YN8bGvfx5BpYCoDeRlt+A==",
+    "file": "components/radio.css"
+  },
+  "license": "MIT"
+}

b/7e162b2333a13ef1e22b36859b603ed1bea97583111d54f8ec369b06d3ca912c

@@ -0,0 +1,5 @@
+import { Input } from "@/registry/new-york-v4/ui/input"
+
+export default function InputDisabled() {
+  return <Input disabled type="email" placeholder="Email" />
+}

b/7e432d6657c8cfc407353bc200cd6e6f83e64941f4ba7d2a35a6ab5c7399cb2e

@@ -0,0 +1,88 @@
+"use client"
+
+import { TrendingUp } from "lucide-react"
+import { RadialBar, RadialBarChart } from "recharts"
+
+import {
+  Card,
+  CardContent,
+  CardDescription,
+  CardFooter,
+  CardHeader,
+  CardTitle,
+} from "@/registry/new-york-v4/ui/card"
+import {
+  ChartContainer,
+  ChartTooltip,
+  ChartTooltipContent,
+  type ChartConfig,
+} from "@/registry/new-york-v4/ui/chart"
+
+export const description = "A radial chart"
+
+const chartData = [
+  { browser: "chrome", visitors: 275, fill: "var(--color-chrome)" },
+  { browser: "safari", visitors: 200, fill: "var(--color-safari)" },
+  { browser: "firefox", visitors: 187, fill: "var(--color-firefox)" },
+  { browser: "edge", visitors: 173, fill: "var(--color-edge)" },
+  { browser: "other", visitors: 90, fill: "var(--color-other)" },
+]
+
+const chartConfig = {
+  visitors: {
+    label: "Visitors",
+  },
+  chrome: {
+    label: "Chrome",
+    color: "var(--chart-1)",
+  },
+  safari: {
+    label: "Safari",
+    color: "var(--chart-2)",
+  },
+  firefox: {
+    label: "Firefox",
+    color: "var(--chart-3)",
+  },
+  edge: {
+    label: "Edge",
+    color: "var(--chart-4)",
+  },
+  other: {
+    label: "Other",
+    color: "var(--chart-5)",
+  },
+} satisfies ChartConfig
+
+export function ChartRadialSimple() {
+  return (
+    <Card className="flex flex-col">
+      <CardHeader className="items-center pb-0">
+        <CardTitle>Radial Chart</CardTitle>
+        <CardDescription>January - June 2024</CardDescription>
+      </CardHeader>
+      <CardContent className="flex-1 pb-0">
+        <ChartContainer
+          config={chartConfig}
+          className="mx-auto aspect-square max-h-[250px]"
+        >
+          <RadialBarChart data={chartData} innerRadius={30} outerRadius={110}>
+            <ChartTooltip
+              cursor={false}
+              content={<ChartTooltipContent hideLabel nameKey="browser" />}
+            />
+            <RadialBar dataKey="visitors" background />
+          </RadialBarChart>
+        </ChartContainer>
+      </CardContent>
+      <CardFooter className="flex-col gap-2 text-sm">
+        <div className="flex items-center gap-2 leading-none font-medium">
+          Trending up by 5.2% this month <TrendingUp className="h-4 w-4" />
+        </div>
+        <div className="leading-none text-muted-foreground">
+          Showing total visitors for the last 6 months
+        </div>
+      </CardFooter>
+    </Card>
+  )
+}

b/7e438a060057b1fe1e317554a97135e7733066c0f3f59ab8dad43a2f8c8437fc

@@ -0,0 +1,60 @@
+<!doctype html><meta charset=utf-8><title>TurboQuant KV-plane GPU decode witness</title>
+<body><pre id=log>loading…</pre><script type=module>
+// WGSL TurboQuant KV-plane DECODE (PQ4_0, d=128): per block, dequant (codebook×norm) →
+// inverse Hadamard rotation (Fast Walsh-Hadamard in workgroup shared mem + ×signs/√d) =
+// tq_inverse_inplace. Witnessed vs the CPU oracle tqDecodeKV. The novel GPU piece is the
+// in-shader FHT (one workgroup per block, log2(d) butterfly passes with barriers).
+const log = (m) => document.getElementById("log").textContent = m;
+(async () => {
+  const { d, nb, n, total, bytes, signs, expected } = await (await fetch("./_turbokv_data.json")).json();
+  const dev = await (await navigator.gpu.requestAdapter()).requestDevice();
+  const pad = new Uint8Array(Math.ceil(bytes.length / 4) * 4); pad.set(bytes);
+  const bIn = dev.createBuffer({ size: pad.byteLength, usage: GPUBufferUsage.STORAGE | GPUBufferUsage.COPY_DST }); dev.queue.writeBuffer(bIn, 0, new Uint32Array(pad.buffer));
+  const sg = new Float32Array(signs); const bSg = dev.createBuffer({ size: sg.byteLength, usage: GPUBufferUsage.STORAGE | GPUBufferUsage.COPY_DST }); dev.queue.writeBuffer(bSg, 0, sg);
+  const bOut = dev.createBuffer({ size: n * 4, usage: GPUBufferUsage.STORAGE | GPUBufferUsage.COPY_SRC });
+  const rd = dev.createBuffer({ size: n * 4, usage: GPUBufferUsage.MAP_READ | GPUBufferUsage.COPY_DST });
+
+  const WGSL = `
+const CB = array<f32,16>(
+  -0.23762692286887249, -0.18079342531272283, -0.14176134070424901, -0.11024676790280842,
+  -0.08279230816984559, -0.05774433563409530, -0.03413390187425037, -0.01129645493594766,
+   0.01129645493594766,  0.03413390187425037,  0.05774433563409530,  0.08279230816984559,
+   0.11024676790280842,  0.14176134070424901,  0.18079342531272283,  0.23762692286887249);
+const D : u32 = ${d}u; const STRIDE : u32 = ${total}u; const INV_SQRT_D : f32 = ${1 / Math.sqrt(d)};
+@group(0) @binding(0) var<storage, read> blk : array<u32>;
+@group(0) @binding(1) var<storage, read> signs : array<f32>;
+@group(0) @binding(2) var<storage, read_write> outp : array<f32>;
+var<workgroup> sh : array<f32, ${d}>;
+fn gb(b : u32) -> u32 { let w = blk[b >> 2u]; return (w >> ((b & 3u) * 8u)) & 0xffu; }
+@compute @workgroup_size(${d})
+fn main(@builtin(workgroup_id) wid : vec3<u32>, @builtin(local_invocation_id) lid : vec3<u32>) {
+  let blkIdx = wid.x; let o = lid.x; let base = blkIdx * STRIDE;
+  // 1) dequant element o: nibble idx → codebook × norm(f16 @ offset D/2)
+  let d16 = gb(base + (D >> 1u)) | (gb(base + (D >> 1u) + 1u) << 8u);
+  let nrm = unpack2x16float(d16).x;
+  let byte = gb(base + (o >> 1u));
+  let idx = select(byte >> 4u, byte & 0xfu, (o & 1u) == 0u);
+  sh[o] = CB[idx] * nrm;
+  workgroupBarrier();
+  // 2) Fast Walsh-Hadamard (tq_fht): log2(D) butterfly passes; left thread writes both
+  var len : u32 = 1u;
+  loop {
+    if (len >= D) { break; }
+    if ((o & len) == 0u) { let a = sh[o]; let b = sh[o + len]; sh[o] = a + b; sh[o + len] = a - b; }
+    workgroupBarrier();
+    len = len << 1u;
+  }
+  // 3) ×signs/√d  (tq_inverse_inplace tail)
+  outp[base / STRIDE * D + o] = sh[o] * signs[o] * INV_SQRT_D;
+}`;
+  const pipe = dev.createComputePipeline({ layout: "auto", compute: { module: dev.createShaderModule({ code: WGSL }), entryPoint: "main" } });
+  const bg = dev.createBindGroup({ layout: pipe.getBindGroupLayout(0), entries: [{ binding: 0, resource: { buffer: bIn } }, { binding: 1, resource: { buffer: bSg } }, { binding: 2, resource: { buffer: bOut } }] });
+  const enc = dev.createCommandEncoder(); const p = enc.beginComputePass(); p.setPipeline(pipe); p.setBindGroup(0, bg); p.dispatchWorkgroups(nb); p.end();
+  enc.copyBufferToBuffer(bOut, 0, rd, 0, n * 4); dev.queue.submit([enc.finish()]);
+  await rd.mapAsync(GPUMapMode.READ); const got = new Float32Array(rd.getMappedRange().slice(0));
+  let dot = 0, na = 0, nb2 = 0, maxAbs = 0; for (let i = 0; i < n; i++) { const a = got[i], b = expected[i]; dot += a * b; na += a * a; nb2 += b * b; maxAbs = Math.max(maxAbs, Math.abs(a - b)); }
+  const cosine = dot / (Math.sqrt(na) * Math.sqrt(nb2) || 1), ok = cosine > 0.999999 && maxAbs < 1e-4;
+  window.__turbokv = { ok, cosine: +cosine.toFixed(9), maxAbs: +maxAbs.toExponential(2), n, nb };
+  log(`TurboQuant KV decode (PQ4_0): ${ok ? "PASS" : "FAIL"}  cosine=${cosine.toFixed(9)} maxAbs=${maxAbs.toExponential(2)} (${n} vals)`);
+})().catch((e) => { window.__turbokv = { ok: false, err: String(e) }; log("ERR " + e); });
+</script>

b/7e502c71cf1bc0c41721f5c03dddc4992da176836b898283c983368a161b7068

@@ -0,0 +1,864 @@
+import { useEffect, useRef, useState } from "react"
+import type { CSSProperties, HTMLAttributes } from "react"
+
+import { cn } from "@/lib/utils"
+
+const ANIMATION_DURATION_SECONDS = 15
+const GRID_HEIGHT_RATIO = 3
+const GRID_LINE_ALIGNMENT_OFFSET_PX = 0.5
+const GRID_LINE_ANTIALIAS_MULTIPLIER = 0.9
+const GRID_LINE_WIDTH_PX = 0.92
+const GRID_START_OFFSET_RATIO = -0.5
+const GRID_WIDTH_RATIO = 6
+const GRID_X_OFFSET_RATIO = -2
+const MAX_ANGLE = 89
+const MAX_DEVICE_PIXEL_RATIO = 2
+const MIN_ANGLE = 1
+const PERSPECTIVE_PX = 200
+const FALLBACK_ANIMATION_NAME = "retro-grid-fallback-scroll"
+const FALLBACK_STYLES = `
+@keyframes ${FALLBACK_ANIMATION_NAME} {
+  from {
+    transform: translateY(-50%);
+  }
+
+  to {
+    transform: translateY(0);
+  }
+}
+
+@media (prefers-reduced-motion: reduce) {
+  [data-retro-grid-scroll="true"] {
+    animation: none !important;
+    transform: translateY(-50%) !important;
+  }
+}
+`
+
+const VERTEX_SHADER_SOURCE = `
+attribute vec2 a_position;
+
+void main() {
+  gl_Position = vec4(a_position, 0.0, 1.0);
+}
+`
+
+const FRAGMENT_SHADER_SOURCE = `
+#extension GL_OES_standard_derivatives : enable
+precision highp float;
+
+uniform vec2 u_container_size;
+uniform vec2 u_viewport_size;
+uniform vec4 u_line_color;
+uniform float u_angle;
+uniform float u_cell_size;
+uniform float u_device_pixel_ratio;
+uniform float u_time;
+
+const float animationDurationSeconds = ${ANIMATION_DURATION_SECONDS.toFixed(1)};
+const float gridHeightRatio = ${GRID_HEIGHT_RATIO.toFixed(1)};
+const float gridStartOffsetRatio = ${GRID_START_OFFSET_RATIO.toFixed(1)};
+const float gridWidthRatio = ${GRID_WIDTH_RATIO.toFixed(1)};
+const float gridXOffsetRatio = ${GRID_X_OFFSET_RATIO.toFixed(1)};
+const float gridLineAlignmentOffsetPx = ${GRID_LINE_ALIGNMENT_OFFSET_PX.toFixed(1)};
+const float gridLineAntialiasMultiplier = ${GRID_LINE_ANTIALIAS_MULTIPLIER.toFixed(1)};
+const float horizontalLodLevelOneEndPx = 5.6;
+const float horizontalLodLevelOneStartPx = 2.8;
+const float horizontalLodLevelTwoEndPx = 3.0;
+const float horizontalLodLevelTwoStartPx = 1.4;
+const float horizontalCompressionEndPx = 2.8;
+const float horizontalCompressionStartPx = 1.2;
+const float lineWidthPx = ${GRID_LINE_WIDTH_PX.toFixed(2)};
+const float perspectivePx = ${PERSPECTIVE_PX.toFixed(1)};
+const float gridTravelRatio = 0.5;
+const float verticalCompressionEndPx = 2.6;
+const float verticalCompressionStartPx = 1.0;
+const float verticalEdgeCompressionEnd = 0.95;
+const float verticalEdgeCompressionStart = 0.45;
+const float verticalLodLevelEnd = 0.64;
+const float verticalLodLevelStart = 0.22;
+const float verticalTopCompressionEndCells = 6.0;
+const float verticalTopCompressionStartCells = 2.0;
+
+float renderGridLine(
+  float wrappedCoord,
+  float antiAliasWidth,
+  float softnessBoost
+) {
+  return 1.0 - smoothstep(
+    lineWidthPx,
+    lineWidthPx + (antiAliasWidth * (1.5 + softnessBoost)),
+    wrappedCoord
+  );
+}
+
+void main() {
+  float angle = radians(clamp(u_angle, 1.0, 89.0));
+  float sinAngle = sin(angle);
+  float cosAngle = cos(angle);
+  vec2 screen = vec2(
+    (gl_FragCoord.x / u_device_pixel_ratio) - (u_container_size.x * 0.5),
+    (u_container_size.y * 0.5) - (gl_FragCoord.y / u_device_pixel_ratio)
+  );
+
+  vec3 rayOrigin = vec3(0.0, 0.0, perspectivePx);
+  vec3 rayDirection = normalize(vec3(screen, -perspectivePx));
+  vec3 planeXAxis = vec3(1.0, 0.0, 0.0);
+  vec3 planeYAxis = vec3(0.0, cosAngle, sinAngle);
+  vec3 planeNormal = normalize(cross(planeXAxis, planeYAxis));
+  float denominator = dot(rayDirection, planeNormal);
+
+  if (abs(denominator) < 0.0001) {
+    discard;
+  }
+
+  float distanceToPlane = dot(-rayOrigin, planeNormal) / denominator;
+
+  if (distanceToPlane <= 0.0) {
+    discard;
+  }
+
+  vec3 hitPoint = rayOrigin + (rayDirection * distanceToPlane);
+  float localX = hitPoint.x;
+  float localY = dot(hitPoint, planeYAxis);
+  float gridWidth = u_viewport_size.x * gridWidthRatio;
+  float gridHeight = u_viewport_size.y * gridHeightRatio;
+  float gridScrollSpeed = (gridHeight * gridTravelRatio) / animationDurationSeconds;
+  float patternOffsetY = u_time * gridScrollSpeed;
+  float gridLeft = (-0.5 * u_container_size.x) + (gridXOffsetRatio * u_container_size.x);
+  float gridTop = (-0.5 * u_container_size.y) + (gridStartOffsetRatio * gridHeight);
+  vec2 planePosition = vec2(localX - gridLeft, localY - gridTop);
+
+  if (
+    planePosition.x < 0.0 ||
+    planePosition.y < 0.0 ||
+    planePosition.x > gridWidth ||
+    planePosition.y > gridHeight
+  ) {
+    discard;
+  }
+
+  vec2 patternPosition = vec2(planePosition.x, planePosition.y - patternOffsetY);
+  vec2 wrapped = mod(
+    patternPosition + vec2(gridLineAlignmentOffsetPx),
+    u_cell_size
+  );
+  vec2 patternDerivative = max(fwidth(patternPosition), vec2(0.0001));
+  vec2 antiAliasWidth = patternDerivative * gridLineAntialiasMultiplier;
+  float horizontalCellSpanPx = u_cell_size / patternDerivative.y;
+  float horizontalCompression = 1.0 - smoothstep(
+    horizontalCompressionStartPx,
+    horizontalCompressionEndPx,
+    horizontalCellSpanPx
+  );
+  float verticalCellSpanPx = u_cell_size / patternDerivative.x;
+  float sideDistance = abs((planePosition.x / gridWidth) * 2.0 - 1.0);
+  float verticalEdgeCompression = smoothstep(
+    verticalEdgeCompressionStart,
+    verticalEdgeCompressionEnd,
+    sideDistance
+  );
+  float verticalTopCompression = 1.0 - smoothstep(
+    u_cell_size * verticalTopCompressionStartCells,
+    u_cell_size * verticalTopCompressionEndCells,
+    planePosition.y
+  );
+  float verticalCompression =
+    (1.0 - smoothstep(
+      verticalCompressionStartPx,
+      verticalCompressionEndPx,
+      verticalCellSpanPx
+    )) * verticalEdgeCompression * verticalTopCompression;
+  float horizontalSoftnessBoost = 1.0 + (horizontalCompression * 3.0);
+  float verticalSoftnessBoost = 1.0 + (verticalCompression * 3.5);
+  float verticalLod = smoothstep(
+    verticalLodLevelStart,
+    verticalLodLevelEnd,
+    verticalCompression
+  );
+  float verticalLineFine = renderGridLine(
+    wrapped.x,
+    antiAliasWidth.x,
+    verticalSoftnessBoost
+  );
+  float verticalWrappedLod = mod(
+    patternPosition.x + gridLineAlignmentOffsetPx,
+    u_cell_size * 2.0
+  );
+  float verticalLineCoarse = renderGridLine(
+    verticalWrappedLod,
+    antiAliasWidth.x,
+    verticalSoftnessBoost + verticalLod
+  );
+  float verticalLine = max(
+    verticalLineFine * (1.0 - verticalLod),
+    verticalLineCoarse * verticalLod
+  );
+  float horizontalLodLevelOne = 1.0 - smoothstep(
+    horizontalLodLevelOneStartPx,
+    horizontalLodLevelOneEndPx,
+    horizontalCellSpanPx
+  );
+  float horizontalLodLevelTwo = 1.0 - smoothstep(
+    horizontalLodLevelTwoStartPx,
+    horizontalLodLevelTwoEndPx,
+    horizontalCellSpanPx
+  );
+  float horizontalLineFine = renderGridLine(
+    wrapped.y,
+    antiAliasWidth.y,
+    horizontalSoftnessBoost
+  );
+  float horizontalWrappedLodOne = mod(
+    patternPosition.y + gridLineAlignmentOffsetPx,
+    u_cell_size * 2.0
+  );
+  float horizontalWrappedLodTwo = mod(
+    patternPosition.y + gridLineAlignmentOffsetPx,
+    u_cell_size * 4.0
+  );
+  float horizontalLineCoarse = renderGridLine(
+    horizontalWrappedLodOne,
+    antiAliasWidth.y,
+    horizontalSoftnessBoost + horizontalLodLevelOne
+  );
+  float horizontalLineExtraCoarse = renderGridLine(
+    horizontalWrappedLodTwo,
+    antiAliasWidth.y,
+    horizontalSoftnessBoost + horizontalLodLevelOne + horizontalLodLevelTwo
+  );
+  float horizontalLineReduced = max(
+    horizontalLineFine * (1.0 - horizontalLodLevelOne),
+    horizontalLineCoarse * horizontalLodLevelOne
+  );
+  float horizontalLine = max(
+    horizontalLineReduced * (1.0 - horizontalLodLevelTwo),
+    horizontalLineExtraCoarse * horizontalLodLevelTwo
+  );
+  float line = max(verticalLine, horizontalLine);
+
+  if (line <= 0.001) {
+    discard;
+  }
+
+  float alpha = u_line_color.a * line;
+  gl_FragColor = vec4(u_line_color.rgb * alpha, alpha);
+}
+`
+
+interface RetroGridProps extends HTMLAttributes<HTMLDivElement> {
+  /**
+   * Additional CSS classes to apply to the grid container
+   */
+  className?: string
+  /**
+   * Rotation angle of the grid in degrees
+   * @default 65
+   */
+  angle?: number
+  /**
+   * Grid cell size in pixels
+   * @default 60
+   */
+  cellSize?: number
+  /**
+   * Grid opacity value between 0 and 1
+   * @default 0.5
+   */
+  opacity?: number
+  /**
+   * Grid line color in light mode
+   * @default "gray"
+   */
+  lightLineColor?: string
+  /**
+   * Grid line color in dark mode
+   * @default "gray"
+   */
+  darkLineColor?: string
+}
+
+interface ProgramInfo {
+  attributeLocation: number
+  program: WebGLProgram
+  uniforms: {
+    angle: WebGLUniformLocation
+    cellSize: WebGLUniformLocation
+    containerSize: WebGLUniformLocation
+    devicePixelRatio: WebGLUniformLocation
+    lineColor: WebGLUniformLocation
+    time: WebGLUniformLocation
+    viewportSize: WebGLUniformLocation
+  }
+}
+
+let colorResolveContext: CanvasRenderingContext2D | null | undefined
+
+function clamp(value: number, min: number, max: number) {
+  return Math.min(Math.max(value, min), max)
+}
+
+function createShader(gl: WebGLRenderingContext, type: number, source: string) {
+  const shader = gl.createShader(type)
+
+  if (!shader) {
+    return null
+  }
+
+  gl.shaderSource(shader, source)
+  gl.compileShader(shader)
+
+  if (gl.getShaderParameter(shader, gl.COMPILE_STATUS)) {
+    return shader
+  }
+
+  gl.deleteShader(shader)
+  return null
+}
+
+function createProgram(gl: WebGLRenderingContext) {
+  const vertexShader = createShader(gl, gl.VERTEX_SHADER, VERTEX_SHADER_SOURCE)
+  const fragmentShader = createShader(
+    gl,
+    gl.FRAGMENT_SHADER,
+    FRAGMENT_SHADER_SOURCE
+  )
+
+  if (!vertexShader || !fragmentShader) {
+    return null
+  }
+
+  const program = gl.createProgram()
+
+  if (!program) {
+    gl.deleteShader(vertexShader)
+    gl.deleteShader(fragmentShader)
+    return null
+  }
+
+  gl.attachShader(program, vertexShader)
+  gl.attachShader(program, fragmentShader)
+  gl.linkProgram(program)
+  gl.deleteShader(vertexShader)
+  gl.deleteShader(fragmentShader)
+
+  if (gl.getProgramParameter(program, gl.LINK_STATUS)) {
+    return program
+  }
+
+  gl.deleteProgram(program)
+  return null
+}
+
+function getProgramInfo(
+  gl: WebGLRenderingContext,
+  program: WebGLProgram
+): ProgramInfo | null {
+  const attributeLocation = gl.getAttribLocation(program, "a_position")
+  const angle = gl.getUniformLocation(program, "u_angle")
+  const cellSize = gl.getUniformLocation(program, "u_cell_size")
+  const containerSize = gl.getUniformLocation(program, "u_container_size")
+  const devicePixelRatio = gl.getUniformLocation(
+    program,
+    "u_device_pixel_ratio"
+  )
+  const lineColor = gl.getUniformLocation(program, "u_line_color")
+  const time = gl.getUniformLocation(program, "u_time")
+  const viewportSize = gl.getUniformLocation(program, "u_viewport_size")
+
+  if (
+    attributeLocation < 0 ||
+    !angle ||
+    !cellSize ||
+    !containerSize ||
+    !devicePixelRatio ||
+    !lineColor ||
+    !time ||
+    !viewportSize
+  ) {
+    return null
+  }
+
+  return {
+    attributeLocation,
+    program,
+    uniforms: {
+      angle,
+      cellSize,
+      containerSize,
+      devicePixelRatio,
+      lineColor,
+      time,
+      viewportSize,
+    },
+  }
+}
+
+function isDarkMode(colorScheme: MediaQueryList) {
+  const root = document.documentElement
+
+  if (root.classList.contains("dark")) {
+    return true
+  }
+
+  if (root.classList.contains("light")) {
+    return false
+  }
+
+  return colorScheme.matches
+}
+
+function getColorResolveContext() {
+  if (colorResolveContext !== undefined) {
+    return colorResolveContext
+  }
+
+  const canvas = document.createElement("canvas")
+  canvas.width = 1
+  canvas.height = 1
+  colorResolveContext = canvas.getContext("2d", {
+    willReadFrequently: true,
+  })
+
+  return colorResolveContext
+}
+
+function resolveLineColor(color: string, element: HTMLElement) {
+  const resolver = document.createElement("span")
+  resolver.style.color = color
+  resolver.style.opacity = "0"
+  resolver.style.pointerEvents = "none"
+  resolver.style.position = "absolute"
+  element.appendChild(resolver)
+
+  const resolvedColor = getComputedStyle(resolver).color
+  resolver.remove()
+  const context = getColorResolveContext()
+
+  if (!context) {
+    return new Float32Array([0.5, 0.5, 0.5, 1])
+  }
+
+  context.clearRect(0, 0, 1, 1)
+  context.fillStyle = resolvedColor
+  context.fillRect(0, 0, 1, 1)
+  const pixel = context.getImageData(0, 0, 1, 1).data
+
+  return new Float32Array([
+    pixel[0] / 255,
+    pixel[1] / 255,
+    pixel[2] / 255,
+    pixel[3] / 255,
+  ])
+}
+
+function createFallbackGridStyle(
+  cellSize: number,
+  lineColor: string
+): CSSProperties {
+  return {
+    animation: `${FALLBACK_ANIMATION_NAME} ${ANIMATION_DURATION_SECONDS}s linear infinite`,
+    backgroundImage: `linear-gradient(to right, ${lineColor} 1px, transparent 0), linear-gradient(to bottom, ${lineColor} 1px, transparent 0)`,
+    backgroundRepeat: "repeat",
+    backgroundSize: `${cellSize}px ${cellSize}px`,
+    transform: "translateY(-50%)",
+  }
+}
+
+export function RetroGrid({
+  className,
+  angle = 65,
+  cellSize = 60,
+  opacity = 0.5,
+  lightLineColor = "gray",
+  darkLineColor = "gray",
+  style,
+  ...props
+}: RetroGridProps) {
+  const canvasRef = useRef<HTMLCanvasElement>(null)
+  const containerRef = useRef<HTMLDivElement>(null)
+  const [isWebGlReady, setIsWebGlReady] = useState(false)
+  const angleRef = useRef(angle)
+  const cellSizeRef = useRef(cellSize)
+  const darkLineColorRef = useRef(darkLineColor)
+  const lightLineColorRef = useRef(lightLineColor)
+  const syncSceneRef = useRef<(() => void) | null>(null)
+
+  useEffect(() => {
+    angleRef.current = angle
+    cellSizeRef.current = cellSize
+    darkLineColorRef.current = darkLineColor
+    lightLineColorRef.current = lightLineColor
+    syncSceneRef.current?.()
+  }, [angle, cellSize, darkLineColor, lightLineColor])
+
+  useEffect(() => {
+    const canvas = canvasRef.current
+    const container = containerRef.current
+
+    if (!canvas || !container) {
+      return
+    }
+
+    const reducedMotion = window.matchMedia("(prefers-reduced-motion: reduce)")
+    const colorScheme = window.matchMedia("(prefers-color-scheme: dark)")
+
+    let animationFrameId: number | null = null
+    let currentWidth = 0
+    let currentHeight = 0
+    let currentDevicePixelRatio = 1
+    let gl: WebGLRenderingContext | null = null
+    let isVisible = true
+    let isContextLost = false
+    let lineColor = resolveLineColor(lightLineColorRef.current, container)
+    let positionBuffer: WebGLBuffer | null = null
+    let programInfo: ProgramInfo | null = null
+
+    const getContext = () => {
+      const nextGl = canvas.getContext("webgl", {
+        alpha: true,
+        antialias: true,
+        premultipliedAlpha: true,
+      })
+
+      if (!nextGl || !nextGl.getExtension("OES_standard_derivatives")) {
+        return null
+      }
+
+      return nextGl
+    }
+
+    const releasePipeline = (shouldDeleteResources: boolean) => {
+      if (shouldDeleteResources && gl) {
+        if (positionBuffer) {
+          gl.deleteBuffer(positionBuffer)
+        }
+
+        if (programInfo) {
+          gl.deleteProgram(programInfo.program)
+        }
+      }
+
+      positionBuffer = null
+      programInfo = null
+
+      if (shouldDeleteResources) {
+        gl = null
+      }
+    }
+
+    const initializePipeline = () => {
+      const nextGl = getContext()
+
+      if (!nextGl) {
+        releasePipeline(false)
+        return false
+      }
+
+      gl = nextGl
+      releasePipeline(true)
+      gl = nextGl
+
+      const program = createProgram(nextGl)
+
+      if (!program) {
+        return false
+      }
+
+      const nextProgramInfo = getProgramInfo(nextGl, program)
+
+      if (!nextProgramInfo) {
+        nextGl.deleteProgram(program)
+        return false
+      }
+
+      const nextPositionBuffer = nextGl.createBuffer()
+
+      if (!nextPositionBuffer) {
+        nextGl.deleteProgram(program)
+        return false
+      }
+
+      nextGl.bindBuffer(nextGl.ARRAY_BUFFER, nextPositionBuffer)
+      nextGl.bufferData(
+        nextGl.ARRAY_BUFFER,
+        new Float32Array([-1, -1, 3, -1, -1, 3]),
+        nextGl.STATIC_DRAW
+      )
+
+      positionBuffer = nextPositionBuffer
+      programInfo = nextProgramInfo
+
+      return true
+    }
+
+    const updateLineColor = () => {
+      const activeColor = isDarkMode(colorScheme)
+        ? darkLineColorRef.current
+        : lightLineColorRef.current
+      lineColor = resolveLineColor(activeColor, container)
+    }
+
+    const resizeCanvas = () => {
+      currentWidth = Math.floor(container.clientWidth)
+      currentHeight = Math.floor(container.clientHeight)
+
+      if (currentWidth === 0 || currentHeight === 0 || !gl) {
+        return
+      }
+
+      currentDevicePixelRatio = Math.min(
+        window.devicePixelRatio || 1,
+        MAX_DEVICE_PIXEL_RATIO
+      )
+
+      canvas.width = Math.floor(currentWidth * currentDevicePixelRatio)
+      canvas.height = Math.floor(currentHeight * currentDevicePixelRatio)
+      canvas.style.width = `${currentWidth}px`
+      canvas.style.height = `${currentHeight}px`
+      gl.viewport(0, 0, canvas.width, canvas.height)
+    }
+
+    const draw = (timestamp: number) => {
+      if (
+        currentWidth === 0 ||
+        currentHeight === 0 ||
+        !gl ||
+        !positionBuffer ||
+        !programInfo ||
+        isContextLost
+      ) {
+        return
+      }
+
+      gl.useProgram(programInfo.program)
+      gl.bindBuffer(gl.ARRAY_BUFFER, positionBuffer)
+      gl.enableVertexAttribArray(programInfo.attributeLocation)
+      gl.vertexAttribPointer(
+        programInfo.attributeLocation,
+        2,
+        gl.FLOAT,
+        false,
+        0,
+        0
+      )
+      gl.clearColor(0, 0, 0, 0)
+      gl.clear(gl.COLOR_BUFFER_BIT)
+      gl.uniform1f(
+        programInfo.uniforms.angle,
+        clamp(angleRef.current, MIN_ANGLE, MAX_ANGLE)
+      )
+      gl.uniform1f(
+        programInfo.uniforms.cellSize,
+        Math.max(cellSizeRef.current, 1)
+      )
+      gl.uniform2f(
+        programInfo.uniforms.containerSize,
+        currentWidth,
+        currentHeight
+      )
+      gl.uniform1f(
+        programInfo.uniforms.devicePixelRatio,
+        currentDevicePixelRatio
+      )
+      gl.uniform4fv(programInfo.uniforms.lineColor, lineColor)
+      gl.uniform1f(
+        programInfo.uniforms.time,
+        reducedMotion.matches ? 0 : timestamp / 1000
+      )
+      gl.uniform2f(
+        programInfo.uniforms.viewportSize,
+        window.innerWidth,
+        window.innerHeight
+      )
+      gl.drawArrays(gl.TRIANGLES, 0, 3)
+    }
+
+    const stopAnimation = () => {
+      if (animationFrameId !== null) {
+        cancelAnimationFrame(animationFrameId)
+        animationFrameId = null
+      }
+    }
+
+    const frame = (timestamp: number) => {
+      draw(timestamp)
+
+      if (!reducedMotion.matches && isVisible) {
+        animationFrameId = requestAnimationFrame(frame)
+        return
+      }
+
+      animationFrameId = null
+    }
+
+    const syncScene = () => {
+      if (isContextLost) {
+        stopAnimation()
+        setIsWebGlReady(false)
+        return
+      }
+
+      if (!gl || !positionBuffer || !programInfo) {
+        if (!initializePipeline()) {
+          stopAnimation()
+          setIsWebGlReady(false)
+          return
+        }
+      }
+
+      resizeCanvas()
+
+      if (currentWidth === 0 || currentHeight === 0) {
+        stopAnimation()
+        return
+      }
+
+      updateLineColor()
+      draw(performance.now())
+      setIsWebGlReady(true)
+
+      if (reducedMotion.matches || !isVisible) {
+        stopAnimation()
+        return
+      }
+
+      if (animationFrameId === null) {
+        animationFrameId = requestAnimationFrame(frame)
+      }
+    }
+
+    syncSceneRef.current = syncScene
+
+    const resizeObserver = new ResizeObserver(() => {
+      syncScene()
+    })
+    resizeObserver.observe(container)
+
+    const handleWindowResize = () => {
+      syncScene()
+    }
+
+    const intersectionObserver = new IntersectionObserver(([entry]) => {
+      isVisible = entry?.isIntersecting ?? false
+
+      if (isVisible) {
+        syncScene()
+        return
+      }
+
+      stopAnimation()
+    })
+    intersectionObserver.observe(container)
+
+    const themeObserver = new MutationObserver(() => {
+      syncScene()
+    })
+    themeObserver.observe(document.documentElement, {
+      attributeFilter: ["class"],
+      attributes: true,
+    })
+
+    const handleMotionChange = () => {
+      syncScene()
+    }
+
+    const handleColorSchemeChange = () => {
+      syncScene()
+    }
+
+    const handleContextLost = (event: Event) => {
+      event.preventDefault()
+      isContextLost = true
+      stopAnimation()
+      releasePipeline(false)
+      setIsWebGlReady(false)
+    }
+
+    const handleContextRestored = () => {
+      isContextLost = false
+      syncScene()
+    }
+
+    reducedMotion.addEventListener("change", handleMotionChange)
+    colorScheme.addEventListener("change", handleColorSchemeChange)
+    window.addEventListener("resize", handleWindowResize)
+    canvas.addEventListener("webglcontextlost", handleContextLost)
+    canvas.addEventListener("webglcontextrestored", handleContextRestored)
+
+    syncScene()
+
+    return () => {
+      stopAnimation()
+      resizeObserver.disconnect()
+      intersectionObserver.disconnect()
+      themeObserver.disconnect()
+      reducedMotion.removeEventListener("change", handleMotionChange)
+      colorScheme.removeEventListener("change", handleColorSchemeChange)
+      window.removeEventListener("resize", handleWindowResize)
+      canvas.removeEventListener("webglcontextlost", handleContextLost)
+      canvas.removeEventListener("webglcontextrestored", handleContextRestored)
+      syncSceneRef.current = null
+      releasePipeline(!isContextLost)
+    }
+  }, [])
+
+  const gridStyles = {
+    ...style,
+    opacity,
+  } as CSSProperties
+  const normalizedAngle = clamp(angle, MIN_ANGLE, MAX_ANGLE)
+  const normalizedCellSize = Math.max(cellSize, 1)
+  const fallbackProjectionStyles = {
+    perspective: `${PERSPECTIVE_PX}px`,
+  } as CSSProperties
+  const fallbackRotationStyles = {
+    transform: `rotateX(${normalizedAngle}deg)`,
+  } as CSSProperties
+  const lightFallbackGridStyles = createFallbackGridStyle(
+    normalizedCellSize,
+    lightLineColor
+  )
+  const darkFallbackGridStyles = createFallbackGridStyle(
+    normalizedCellSize,
+    darkLineColor
+  )
+
+  return (
+    <div
+      ref={containerRef}
+      className={cn(
+        "pointer-events-none absolute size-full overflow-hidden",
+        className
+      )}
+      style={gridStyles}
+      {...props}
+    >
+      <style>{FALLBACK_STYLES}</style>
+      {!isWebGlReady ? (
+        <div className="absolute inset-0" style={fallbackProjectionStyles}>
+          <div className="absolute inset-0" style={fallbackRotationStyles}>
+            <div
+              data-retro-grid-scroll="true"
+              className="absolute inset-[0%_0px] ml-[-200%] h-[300vh] w-[600vw] origin-[100%_0_0] dark:hidden"
+              style={lightFallbackGridStyles}
+            />
+            <div
+              data-retro-grid-scroll="true"
+              className="absolute inset-[0%_0px] ml-[-200%] hidden h-[300vh] w-[600vw] origin-[100%_0_0] dark:block"
+              style={darkFallbackGridStyles}
+            />
+          </div>
+        </div>
+      ) : null}
+      <canvas
+        ref={canvasRef}
+        className={cn(
+          "absolute inset-0 size-full",
+          isWebGlReady ? "opacity-100" : "opacity-0"
+        )}
+      />
+      <div className="absolute inset-0 bg-linear-to-t from-white to-transparent to-90% dark:from-black" />
+    </div>
+  )
+}

b/7e530ec32c30fd622814756a82a99606dc963865c7bddfe075bfa8adc003d8bb

@@ -0,0 +1,51 @@
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+/*! Bundled license information:
+
+lucide-react/dist/esm/shared/src/utils.js:
+  (**
+   * @license lucide-react v0.456.0 - ISC
+   *
+   * This source code is licensed under the ISC license.
+   * See the LICENSE file in the root directory of this source tree.
+   *)
+
+lucide-react/dist/esm/defaultAttributes.js:
+  (**
+   * @license lucide-react v0.456.0 - ISC
+   *
+   * This source code is licensed under the ISC license.
+   * See the LICENSE file in the root directory of this source tree.
+   *)
+
+lucide-react/dist/esm/Icon.js:
+  (**
+   * @license lucide-react v0.456.0 - ISC
+   *
+   * This source code is licensed under the ISC license.
+   * See the LICENSE file in the root directory of this source tree.
+   *)
+
+lucide-react/dist/esm/createLucideIcon.js:
+  (**
+   * @license lucide-react v0.456.0 - ISC
+   *
+   * This source code is licensed under the ISC license.
+   * See the LICENSE file in the root directory of this source tree.
+   *)
+
+lucide-react/dist/esm/icons/loader-circle.js:
+  (**
+   * @license lucide-react v0.456.0 - ISC
+   *
+   * This source code is licensed under the ISC license.
+   * See the LICENSE file in the root directory of this source tree.
+   *)
+
+lucide-react/dist/esm/lucide-react.js:
+  (**
+   * @license lucide-react v0.456.0 - ISC
+   *
+   * This source code is licensed under the ISC license.
+   * See the LICENSE file in the root directory of this source tree.
+   *)
+*/

b/7e64e42a03aae2b794cc12945866d47f2832b7d36aa68f5b824feb07b99f7c9d

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+  "name": "toggle-group-outline",
+  "tier": "example",
+  "library": "shadcn",
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+  "integrity": "sha256-+cDoImrsvTIP15HxLCmPfKjSX5CN2B2ZE+KD1+rdSL0=",
+  "kappa": "sha256:ce375cf41a1125f1b6f29eb36eb1a8da6fbfe418e6fd1530dc79e6f22fe4f39d",
+  "moduleKappa": "sha256:f9c0e8226aecbd320fd791f12c298f7ca8d25f908dd81d9913e283d7eadd48bd",
+  "renderExport": "default",
+  "source": "registry/new-york-v4/examples/toggle-group-outline.tsx",
+  "module": "vendor/components/toggle-group-outline.js",
+  "exports": [
+    "default"
+  ],
+  "license": "MIT"
+}

b/7e8619577045f8535dcbcf93bd8be3c72a4e657de3605709f364a17ccd9d22d9

@@ -0,0 +1,168 @@
+// Mamba-1 end-to-end test. Build a tiny mamba with random F32 weights, forge ->
+// synthesize -> run forward, and compare logits to an INDEPENDENT float64 reference
+// that reproduces mamba.cpp / mamba-base.cpp build_mamba_layer: RMSNorm -> in_proj
+// split [x|z] -> causal conv1d(+bias,silu) with recurrent conv state -> x_proj
+// (Δt,B,C) -> dt_proj+bias -> selective scan with recurrent ssm state -> D skip ->
+// z-gate(silu) -> out_proj -> residual; no attention, no FFN. A 4-token prompt
+// exercises the recurrent state across positions (conv window fill + scan carry).
+// Plus a structural check against a real mamba header when present.
+
+import assert from "node:assert";
+import { existsSync, openSync, readSync, closeSync } from "node:fs";
+import { forgeGguf } from "./gguf-forge.mjs";
+import { synthesizeGraph } from "./gguf-forge-graph.mjs";
+import { forward } from "./gguf-forge-exec.mjs";
+import { GGML } from "./gguf-forge-dequant.mjs";
+import { parseGgufHeader } from "../qvac-ingest.mjs";
+
+let pass = 0, fail = 0;
+const t = (name, fn) => { try { fn(); pass++; console.log("  ok  " + name); } catch (e) { fail++; console.log("FAIL  " + name + "\n      " + e.message); } };
+
+// ── tiny dims ──
+const D = 8, DI = 16, DS = 4, DC = 4, DT = 3, VOCAB = 5, NL = 2, EPS = 1e-6;
+
+function prng(seed) { let s = seed >>> 0; return () => { s = (s * 1664525 + 1013904223) >>> 0; return (s / 4294967296) * 2 - 1; }; }
+const r = prng(99);
+const randF = (n, scale = 0.3) => { const a = new Float32Array(n); for (let i = 0; i < n; i++) a[i] = r() * scale; return a; };
+const normW = (n) => randF(n, 1).map((x) => Math.abs(x) + 0.5);
+
+const L = [];
+for (let il = 0; il < NL; il++) L.push({
+  attn_norm: normW(D), ssm_in: randF(2 * DI * D), conv1d: randF(DI * DC), conv1d_b: randF(DI),
+  ssm_x: randF((DT + 2 * DS) * DI), ssm_dt: randF(DI * DT), ssm_dt_b: randF(DI),
+  ssm_a: randF(DS * DI, 1).map((x) => -(Math.abs(x) + 0.1)), ssm_d: randF(DI), ssm_out: randF(D * DI),
+});
+const w = { tok_embd: randF(VOCAB * D), output_norm: normW(D) };
+
+function buildGguf(meta, tensors) {
+  const ALIGN = 32; let off = 0;
+  const infos = tensors.map((t) => { const o = off; off = Math.ceil((o + t.bytes.length) / ALIGN) * ALIGN; return { ...t, offset: o }; });
+  let parts = [], len = 0; const push = (b) => { parts.push(b); len += b.length; };
+  const u32 = (v) => { const b = new Uint8Array(4); new DataView(b.buffer).setUint32(0, v >>> 0, true); push(b); };
+  const f32 = (v) => { const b = new Uint8Array(4); new DataView(b.buffer).setFloat32(0, v, true); push(b); };
+  const u64 = (v) => { const b = new Uint8Array(8); const dv = new DataView(b.buffer); dv.setUint32(0, v >>> 0, true); dv.setUint32(4, Math.floor(v / 4294967296), true); push(b); };
+  const str = (s) => { const e = new TextEncoder().encode(s); u64(e.length); push(e); };
+  push(new TextEncoder().encode("GGUF")); u32(3); u64(tensors.length); u64(Object.keys(meta).length);
+  for (const [k, val] of Object.entries(meta)) { str(k); if (typeof val === "string") { u32(8); str(val); } else if (Number.isInteger(val) && val >= 0 && val < 4294967296) { u32(4); u32(val); } else { u32(6); f32(val); } }
+  for (const ti of infos) { str(ti.name); u32(ti.dims.length); for (const d of ti.dims) u64(d); u32(ti.type); u64(ti.offset); }
+  if (len % ALIGN) push(new Uint8Array(ALIGN - (len % ALIGN)));
+  const dataStart = len;
+  for (const ti of infos) { while (len < dataStart + ti.offset) push(new Uint8Array(1)); push(ti.bytes); }
+  const out = new Uint8Array(len); let o = 0; for (const p of parts) { out.set(p, o); o += p.length; } return out;
+}
+const f32bytes = (arr) => new Uint8Array(arr.buffer.slice(arr.byteOffset, arr.byteOffset + arr.byteLength));
+
+const meta = {
+  "general.architecture": "mamba", "mamba.block_count": NL, "mamba.embedding_length": D,
+  "mamba.ssm.conv_kernel": DC, "mamba.ssm.inner_size": DI, "mamba.ssm.state_size": DS, "mamba.ssm.time_step_rank": DT,
+  "mamba.attention.layer_norm_rms_epsilon": EPS,
+};
+const tensors = [["token_embd.weight", [D, VOCAB], w.tok_embd], ["output_norm.weight", [D], w.output_norm]];
+for (let il = 0; il < NL; il++) { const p = `blk.${il}.`, x = L[il]; tensors.push(
+  [p + "attn_norm.weight", [D], x.attn_norm], [p + "ssm_in.weight", [D, 2 * DI], x.ssm_in],
+  [p + "ssm_conv1d.weight", [DC, DI], x.conv1d], [p + "ssm_conv1d.bias", [DI], x.conv1d_b],
+  [p + "ssm_x.weight", [DI, DT + 2 * DS], x.ssm_x], [p + "ssm_dt.weight", [DT, DI], x.ssm_dt], [p + "ssm_dt.bias", [DI], x.ssm_dt_b],
+  [p + "ssm_a", [DS, DI], x.ssm_a], [p + "ssm_d", [DI], x.ssm_d], [p + "ssm_out.weight", [DI, D], x.ssm_out]);
+}
+const ggufTensors = tensors.map(([name, dims, arr]) => ({ name, type: GGML.F32, dims, bytes: f32bytes(arr) }));
+
+// ── independent float64 reference forward (reproduces build_mamba_layer) ──
+function matvecRef(W, x, K, N) { const y = new Float64Array(N); for (let n = 0; n < N; n++) { let s = 0; for (let k = 0; k < K; k++) s += W[n * K + k] * x[k]; y[n] = s; } return y; }
+function rmsRef(x, wt) { let s = 0; for (const v of x) s += v * v; const sc = 1 / Math.sqrt(s / x.length + EPS); return Array.from(x, (v, i) => v * sc * wt[i]); }
+const siluRef = (v) => v / (1 + Math.exp(-v));
+const softplusRef = (v) => (v > 20 ? v : Math.log1p(Math.exp(v)));
+const addV = (a, b) => a.map((x, i) => x + b[i]);
+
+function referenceForward(tokens) {
+  const H = tokens.map((tk) => Array.from(w.tok_embd.slice(tk * D, tk * D + D)));
+  const convSt = Array.from({ length: NL }, () => new Float64Array(DI * (DC - 1)));
+  const ssmSt = Array.from({ length: NL }, () => new Float64Array(DI * DS));
+  for (let pos = 0; pos < tokens.length; pos++) {
+    let h = H[pos];
+    for (let il = 0; il < NL; il++) {
+      const x = L[il], cs = convSt[il], ss = ssmSt[il];
+      const xn = rmsRef(h, x.attn_norm);
+      const xz = matvecRef(x.ssm_in, xn, D, 2 * DI);
+      const xin = xz.slice(0, DI), z = xz.slice(DI, 2 * DI);
+      // causal conv1d (+bias, silu), slide conv state
+      const xc = new Array(DI);
+      for (let ch = 0; ch < DI; ch++) {
+        const base = ch * (DC - 1), wb = ch * DC; let s = 0;
+        for (let k = 0; k < DC - 1; k++) s += cs[base + k] * x.conv1d[wb + k];
+        s += xin[ch] * x.conv1d[wb + DC - 1];
+        xc[ch] = siluRef(s + x.conv1d_b[ch]);
+        for (let k = 0; k < DC - 2; k++) cs[base + k] = cs[base + k + 1];
+        cs[base + DC - 2] = xin[ch];
+      }
+      const xdb = matvecRef(x.ssm_x, xc, DI, DT + 2 * DS);
+      const B = xdb.slice(DT, DT + DS), C = xdb.slice(DT + DS, DT + 2 * DS);
+      const dt = addV(Array.from(matvecRef(x.ssm_dt, xdb.slice(0, DT), DT, DI)), Array.from(x.ssm_dt_b));
+      const y = new Array(DI);
+      for (let ch = 0; ch < DI; ch++) {
+        const dtsp = softplusRef(dt[ch]), xdt = xc[ch] * dtsp, sb = ch * DS; let acc = 0;
+        for (let i0 = 0; i0 < DS; i0++) { const st = ss[sb + i0] * Math.exp(dtsp * x.ssm_a[sb + i0]) + B[i0] * xdt; acc += st * C[i0]; ss[sb + i0] = st; }
+        y[ch] = siluRef(z[ch]) * (acc + xc[ch] * x.ssm_d[ch]);
+      }
+      h = addV(Array.from(matvecRef(x.ssm_out, y, DI, D)), h); // out_proj + residual
+      H[pos] = h;
+    }
+  }
+  const fn = rmsRef(H[tokens.length - 1], w.output_norm);
+  return Array.from(matvecRef(w.tok_embd, fn, D, VOCAB)); // tied lm_head
+}
+
+const f = forgeGguf(buildGguf(meta, ggufTensors));
+const graph = synthesizeGraph(f.plan);
+const store = { get: (hex) => f.blocks.get(hex) };
+const tokens = [3, 1, 4, 2];
+
+t("graph is family=ssm, correct op count + all weights resolve", () => {
+  assert.strictEqual(graph.family, "ssm", graph.reason);
+  assert.strictEqual(graph.stats.n_layer, NL);
+  assert.deepStrictEqual([graph.stats.d_conv, graph.stats.d_inner, graph.stats.d_state, graph.stats.dt_rank], [DC, DI, DS, DT]);
+  assert.strictEqual(graph.stats.ops, 3 + 3 * NL);                  // embd + (norm+mamba+add)*L + result_norm + lm_head
+  assert.strictEqual(graph.stats.weightsUsed, tensors.length);
+  const hist = {}; for (const o of graph.ops) hist[o.op] = (hist[o.op] || 0) + 1;
+  assert.strictEqual(hist.mamba, NL);
+});
+
+t("executor logits match independent f64 reference (mamba forward, recurrent state)", () => {
+  const got = forward(f.plan, graph, store, tokens), ref = referenceForward(tokens);
+  assert.strictEqual(got.length, VOCAB);
+  for (let i = 0; i < VOCAB; i++) {
+    const rel = Math.abs(got[i] - ref[i]) / (Math.abs(ref[i]) + 1e-4);
+    assert.ok(rel < 5e-3, `logit ${i}: got ${got[i]} ref ${ref[i]} rel ${rel}`);
+  }
+  console.log(`      logits: [${Array.from(got).map((x) => x.toFixed(4)).join(", ")}]`);
+});
+
+t("argmax (greedy token) matches reference", () => {
+  const am = (a) => a.indexOf(Math.max(...a));
+  assert.strictEqual(am(Array.from(forward(f.plan, graph, store, tokens))), am(referenceForward(tokens)));
+});
+
+t("executor is deterministic", () => {
+  const a = forward(f.plan, graph, store, tokens), b = forward(f.plan, graph, store, tokens);
+  for (let i = 0; i < VOCAB; i++) assert.strictEqual(a[i], b[i]);
+});
+
+// ── structural check against a real mamba header (skipped if absent) ──
+const REALS = [
+  "C:/Users/pavel/.lmstudio/models/lmstudio-community/mamba-2.8b-GGUF/mamba-2.8b-Q4_K_M.gguf",
+  `${process.env.HOME || ""}/.cache/lm-studio/models/mamba.gguf`,
+];
+t("real mamba header: family=ssm, every tensor resolves, ssm hparams correct", () => {
+  const path = REALS.find((p) => existsSync(p));
+  if (!path) { console.log("      (skipped — no mamba model present)"); return; }
+  const fd = openSync(path, "r"); const buf = Buffer.alloc(64 * 1024 * 1024); readSync(fd, buf, 0, buf.length, 0); closeSync(fd);
+  const h = parseGgufHeader(new Uint8Array(buf));
+  const plan = { arch: h.meta["general.architecture"], meta: h.meta,
+    tensors: h.tensors.map((x) => ({ name: x.name, dims: x.dims, type: x.ggmlType, typeName: String(x.ggmlType), kappa: "sha256:" + "0".repeat(64) })) };
+  const g = synthesizeGraph(plan);
+  assert.strictEqual(g.family, "ssm", g.reason);
+  assert.strictEqual(g.stats.weightsUsed, h.tensors.length, "every tensor referenced");
+  console.log(`      ${plan.arch}: ${g.stats.n_layer}L d_inner=${g.stats.d_inner} d_state=${g.stats.d_state} d_conv=${g.stats.d_conv}, ${g.stats.weightsUsed}/${h.tensors.length} tensors`);
+});
+
+console.log(`\n${pass} passed, ${fail} failed`);
+process.exit(fail ? 1 : 0);

b/7eb1c553d98e3051cc249c3cca0f88e6f569becfdf9674316f138f3d10a1dbda

@@ -0,0 +1,20 @@
+{
+  "id": "org.hologram.ui.example.typography-lead",
+  "name": "typography-lead",
+  "tier": "example",
+  "library": "shadcn",
+  "category": "Examples",
+  "upstream": "https://ui.shadcn.com/r/styles/new-york-v4/typography-lead.json",
+  "did": "did:holo:sha256:1f26283c4d3995918549f577daa45e2ef645f4ebd1a771c2eab6e1dbc18c1c03",
+  "import": "holo://sha256:44793260d35c516f523e9628f7271d66788dc56e69a0cd20d0e9aebfa8d7d240",
+  "integrity": "sha256-RHkyYNNcUW9SPpYo9ycdZniNxW5poM0g0Omuv6jX0kA=",
+  "kappa": "sha256:1f26283c4d3995918549f577daa45e2ef645f4ebd1a771c2eab6e1dbc18c1c03",
+  "moduleKappa": "sha256:44793260d35c516f523e9628f7271d66788dc56e69a0cd20d0e9aebfa8d7d240",
+  "renderExport": "default",
+  "source": "registry/new-york-v4/examples/typography-lead.tsx",
+  "module": "vendor/components/typography-lead.js",
+  "exports": [
+    "default"
+  ],
+  "license": "MIT"
+}

b/7ebcefa0db306029a6037f2cf631157bc1d6fc18dc9f7275800b8485aaf87af5

@@ -0,0 +1,84 @@
+// holo-voice-wake.mjs — W0: "Hey Q" wake word, built on the STREAMING EAR's partials (no separate KWS model, no
+// download — the wake faculty IS the ear, so it's on-device + private by construction). Watches each rolling
+// partial for the wake phrase, matched PHONETICALLY (the ASR renders "hey q" as "hey cue"/"hey queue"/"hey kew"),
+// fires ONCE per utterance, strips the phrase, and hands the TRAILING command straight to the conversation — so
+// "Hey Q, what's the weather?" is one breath, never "say it twice".
+//
+// Pure + DOM-free; onWake injected. The phrase is just text, so ANY wake word works with no model swap.
+
+// tokenize keeping ORIGINAL tokens (casing/apostrophes for the downstream command) aligned 1:1 with a normalized
+// form used only for matching — so the trailing command is returned verbatim ("what's the weather?", not "what s …").
+function tokenize(text) {
+  const orig = String(text || "").trim().split(/\s+/).filter(Boolean);
+  const n = orig.map((w) => w.toLowerCase().replace(/[^a-z0-9']/g, ""));
+  return { orig, n };
+}
+const editDist = (a, b) => { const m = a.length, n = b.length, d = Array.from({ length: m + 1 }, (_, i) => [i, ...Array(n).fill(0)]); for (let j = 0; j <= n; j++) d[0][j] = j; for (let i = 1; i <= m; i++) for (let j = 1; j <= n; j++) d[i][j] = Math.min(d[i - 1][j] + 1, d[i][j - 1] + 1, d[i - 1][j - 1] + (a[i - 1] === b[j - 1] ? 0 : 1)); return d[m][n]; };
+
+// homophone variants for the short keywords the ASR most often mangles (single letters / names). The default
+// covers "hey q"; a custom phrase can pass its own `variants` (per-word arrays) or just rely on edit distance.
+const DEFAULT_VARIANTS = {
+  q: ["q", "cue", "queue", "kew", "kyu", "cu", "kue", "qu"],
+  hey: ["hey", "hay", "hi", "ay"],
+  ok: ["ok", "okay"],
+  computer: ["computer"],
+};
+
+function wordMatches(phraseWord, heard, variants) {
+  if (heard === phraseWord) return true;
+  const v = (variants && variants[phraseWord]) || DEFAULT_VARIANTS[phraseWord];
+  if (v && v.includes(heard)) return true;
+  return editDist(heard, phraseWord) <= Math.floor(phraseWord.length * 0.34);   // tolerant for longer words only
+}
+
+// makeWakeWord({ phrase, variants, onWake, cooldownMs, scanLead }) → { observe(partialText, atMs), reset(), armed() }
+//   phrase     : the wake phrase, e.g. "hey q" (text — any phrase, no model).
+//   variants   : optional { word: [forms] } overrides/extends the homophone map.
+//   onWake     : ({ at, tail }) — fired ONCE when the phrase is heard; `tail` = the command after the phrase.
+//   cooldownMs : ignore a re-fire within this window after a turn (debounce the growing-partial repeats / turn tail).
+//   scanLead   : allow the phrase to start within the first N words (leading "um"/"ok" filler). Default 2.
+export function makeWakeWord({ phrase = "hey q", variants = null, onWake = () => {}, cooldownMs = 1500, scanLead = 2 } = {}) {
+  const pw = tokenize(phrase).n; const P = pw.length;
+  let fired = false, lastWakeAt = -1e9;
+
+  // match the phrase starting at index `i` (over normalized tokens `n`); return the ORIGINAL tail after it, or null.
+  function matchAt(orig, n, i) {
+    if (i + P > n.length) return null;
+    for (let k = 0; k < P; k++) if (!wordMatches(pw[k], n[i + k], variants)) return null;
+    return orig.slice(i + P).join(" ");
+  }
+
+  function observe(text, atMs = 0) {
+    const { orig, n } = tokenize(text);
+    if (fired) {                                                  // already armed: keep returning the growing command tail
+      for (let i = 0; i <= Math.min(scanLead, n.length - P); i++) { const tail = matchAt(orig, n, i); if (tail != null) return { woke: false, armed: true, tail }; }
+      return { woke: false, armed: true, tail: orig.join(" ") };
+    }
+    if (atMs - lastWakeAt < cooldownMs) return { woke: false, armed: false };   // debounce
+    for (let i = 0; i <= Math.min(scanLead, Math.max(0, n.length - P)); i++) {
+      const tail = matchAt(orig, n, i);
+      if (tail != null) { fired = true; lastWakeAt = atMs; onWake({ at: atMs, tail }); return { woke: true, armed: true, tail }; }
+    }
+    return { woke: false, armed: false };
+  }
+
+  return { observe, reset() { fired = false; }, armed: () => fired };
+}
+
+// makeEchoSafeWake — W2: wrap a wake detector so Q can NEVER wake itself. While Q is speaking, its own TTS leaks
+// into the mic and the ear transcribes it — if Q's response happens to contain the wake phrase, that must NOT
+// self-wake. Gate: while speaking, only forward a partial to the wake detector when the mic energy passes the
+// echo threshold (a genuine user talking OVER Q — the same gate barge-in uses). Q's own echo is below it → no
+// self-wake. A real user over the top wakes (and the barge path stops Q). Off-speech, the wake detector is normal.
+//   observe(partialText, { micLevel, qSpeaking, qOutputLevel, atMs }) → { woke, armed?, tail?, suppressed? }
+export function makeEchoSafeWake({ wake, bargeFloor = 0.05, bargeEcho = 0.4, echoGuard = null } = {}) {
+  if (!wake) throw new Error("makeEchoSafeWake needs a wake (makeWakeWord)");
+  const isEcho = echoGuard || ((micLevel, qOutputLevel) => micLevel < Math.max(bargeFloor, (qOutputLevel || 0) * bargeEcho));
+  function observe(text, ctx = {}) {
+    if (ctx.qSpeaking && isEcho(ctx.micLevel == null ? 1 : ctx.micLevel, ctx.qOutputLevel)) return { woke: false, suppressed: true };
+    return wake.observe(text, ctx.atMs || 0);
+  }
+  return { observe, reset: () => wake.reset(), armed: () => wake.armed() };
+}
+
+export default { makeWakeWord, makeEchoSafeWake };

b/7ee16de3c3d73e5301f3c8f8f4eff9e5a934a95962ac68cb6a46bd10d38e7102

@@ -0,0 +1 @@
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Be=mo(To);function O(...e){return Be(K(e))}import{jsx as $}from"react/jsx-runtime";function Uo({className:e,...t}){return $("div",{"data-slot":"empty",className:O("flex min-w-0 flex-1 flex-col items-center justify-center gap-6 rounded-lg border-dashed p-6 text-center text-balance md:p-12",e),...t})}function Do({className:e,...t}){return $("div",{"data-slot":"empty-header",className:O("flex max-w-sm flex-col items-center gap-2 text-center",e),...t})}var Vo=we("mb-2 flex shrink-0 items-center justify-center [&_svg]:pointer-events-none [&_svg]:shrink-0",{variants:{variant:{default:"bg-transparent",icon:"flex size-10 shrink-0 items-center justify-center rounded-lg bg-muted text-foreground [&_svg:not([class*='size-'])]:size-6"}},defaultVariants:{variant:"default"}});function Yo({className:e,variant:t="default",...o}){return $("div",{"data-slot":"empty-icon","data-variant":t,className:O(Vo({variant:t,className:e})),...o})}function qo({className:e,...t}){return $("div",{"data-slot":"empty-title",className:O("text-lg font-medium tracking-tight",e),...t})}function Xo({className:e,...t}){return $("div",{"data-slot":"empty-description",className:O("text-sm/relaxed text-muted-foreground [&>a]:underline [&>a]:underline-offset-4 [&>a:hover]:text-primary",e),...t})}function Ho({className:e,...t}){return $("div",{"data-slot":"empty-content",className:O("flex w-full max-w-sm min-w-0 flex-col items-center gap-4 text-sm text-balance",e),...t})}export{Uo as Empty,Ho as EmptyContent,Xo as EmptyDescription,Do as EmptyHeader,Yo as EmptyMedia,qo as EmptyTitle};

b/7ef7c27c5e1302f62fb0d4dca0988546bc6600abb18d7313c2076fb9b1bdcb5e

@@ -0,0 +1,87 @@
+// holo-parakeet-ear.mjs — production adapter exposing the κ-native Parakeet-TDT-0.6B streaming ASR to Q's voice
+// stack, conforming EXACTLY to the holo-voice-asr.mjs knativeEar seam (so holo-voice-asr drives it unchanged):
+//   createWhisperEar({ holoUrl, upgradeUrl, kappa, release, upgradeKappa, upgradeRelease, language, … })
+//     → { load(progressCb), transcribe(pcm16k, opts) -> { text, … }, info() }
+// Mirrors holo-moonshine-ear.mjs. The encoder weights stream from the encoder .holo BY κ (streamHolo: Range →
+// release → κ-route → OPFS), the decoder (joint) streams from the joint .holo BY κ, decode is κ-native pure-JS.
+// The mel front-end (nemo128) is the one external piece (onnxruntime-web) and is injected as `toFeatures`.
+//
+// EXTRA knativeEar fields this ear understands (passed through cfg.knativeEar in holo-voice.js):
+//   jointUrl/jointKappa/jointRelease  — the joint .holo (defaults beside holoUrl)
+//   rescaleUrl/rescaleBinUrl/vocabUrl — the small encoder rescale + SentencePiece vocab (default beside holoUrl)
+//   toFeatures(pcm) -> { features, T } — mel+stem front-end; until wired, transcribe(audio) throws and
+//                                        holo-voice-asr's own fallback path (Moonshine/Whisper) handles audio.
+//
+// `deps` (last arg) is injectable for headless witnessing: { openStream, fetchBytes, hasWebGPU }. Production
+// defaults: openStream=streamHolo, fetchBytes=fetch→bytes, hasWebGPU=navigator.gpu probe.
+import { streamHolo } from "./holo-whisper-stream.mjs";
+import { createParakeetASR } from "./holo-parakeet-asr.mjs";
+import { makeMelStemFrontend } from "./holo-parakeet-frontend.mjs";
+import { createParakeetStream } from "./holo-parakeet-stream.mjs";
+import { makeEndpoint } from "./holo-voice-endpoint.mjs";
+
+// a trivial content-addressed memo for the default endpoint (identical partial text ⇒ no re-predict). Production
+// can inject the real O(1) holo-compute-memo + turn-detector via cfg.endpoint instead.
+const trivialMemo = () => ({ _c: new Map(), async compute(tag, key, fn) { const k = tag + "|" + key; if (this._c.has(k)) return { bytes: this._c.get(k), hit: true }; const b = await fn(); this._c.set(k, b); return { bytes: b, hit: false }; } });
+
+const dirOf = (u) => { const i = String(u).lastIndexOf("/"); return i >= 0 ? String(u).slice(0, i + 1) : ""; };
+
+async function defaultFetchBytes(url) { const r = await fetch(url); if (!r.ok) throw new Error("fetch " + url + " " + r.status); return new Uint8Array(await r.arrayBuffer()); }
+async function defaultHasWebGPU() { try { return !!(globalThis.navigator?.gpu && (await navigator.gpu.requestAdapter())); } catch (e) { return false; } }
+
+export function createWhisperEar(cfg = {}, deps = {}) {
+  const openStream = deps.openStream || ((url, o) => streamHolo(url, o));
+  const fetchBytes = deps.fetchBytes || defaultFetchBytes;
+  const hasWebGPU = deps.hasWebGPU || defaultHasWebGPU;
+  const base = dirOf(cfg.holoUrl || "");
+  const jointUrl = cfg.jointUrl || (base + "parakeet-tdt-0.6b-v2-joint.holo");
+  const rescaleUrl = cfg.rescaleUrl || (base + "parakeet-encoder-rescale.json");
+  const rescaleBinUrl = cfg.rescaleBinUrl || (base + "parakeet-encoder-rescale.bin");
+  const vocabUrl = cfg.vocabUrl || (base + "parakeet-vocab.txt");
+  const nemoUrl = ("nemoUrl" in cfg) ? cfg.nemoUrl : (base + "parakeet-nemo128.onnx");   // null disables the mel+stem front-end
+  let asr = null, tier = "0.6b", backend = "cpu", ready = false;
+
+  return {
+    async load(progress) {
+      const webgpu = await hasWebGPU();
+      backend = webgpu ? "gpu" : "cpu";                                 // GPU path = the proven WGSL encoder; CPU = headless/fallback
+      const encoderStream = await openStream(cfg.holoUrl, { kappa: cfg.kappa, release: cfg.release || "" });
+      const jointStream = await openStream(jointUrl, { kappa: cfg.jointKappa, release: cfg.jointRelease || "" });
+      const rescale = JSON.parse(new TextDecoder().decode(await fetchBytes(rescaleUrl)));
+      const rescaleBin = await fetchBytes(rescaleBinUrl);
+      const vocab = new TextDecoder().decode(await fetchBytes(vocabUrl)).split("\n").map((l) => l.replace(/\s+\d+$/, ""));
+      // audio front-end (mel+stem). Injected toFeatures wins; else build mel(nemo128, ort-web) → κ-native stem
+      // (the stem κs live in the encoder .holo, so reuse encoderStream.getBody). The stem is validated to the
+      // real pre_encode output (cosine 0.9987). ort-web is the one external runtime; mel is the labeled piece.
+      let toFeatures = cfg.toFeatures || deps.toFeatures || null;
+      if (!toFeatures && nemoUrl) {
+        try { toFeatures = makeMelStemFrontend({ getWeight: (k) => encoderStream.getBody(k), rescale, rescaleBin, nemoUrl, ort: deps.ort || null, backend }); }
+        catch (e) { try { console.warn("[parakeet ear] mel+stem front-end unavailable:", e && e.message || e); } catch (_) {} }
+      }
+      asr = await createParakeetASR({ encoderStream, jointStream, rescale, rescaleBin, vocab, toFeatures, backend });
+      ready = true;
+      try { progress && progress({ phase: "ready", engine: "parakeet-κ", backend, tier }); } catch (e) {}
+      return true;
+    },
+    // knativeEar contract: transcribe(pcm) → { text, … }. Full audio path needs the mel+stem front-end.
+    async transcribe(audio, opts = {}) {
+      if (!asr) await this.load();
+      const r = await asr.transcribeAudio(audio, opts);                 // throws if toFeatures (mel+stem) not wired
+      return { text: r.text, ids: r.ids, ms: r.ms, tier, backend };
+    },
+    // direct features path (the κ-native core, no mel front-end) — used by witnesses + callers that already have
+    // acoustic features. transcribe(features[T*1024], T) → { text, … }.
+    async transcribeFeatures(features, T) { if (!asr) await this.load(); const r = await asr.transcribe(features, T); return { text: r.text, ids: r.ids, ms: r.ms, tier, backend }; },
+
+    // STREAMING surface (Arc B): live mic → growing EXACT partials → instant final on MEANING. feed(pcm,atMs) as
+    // audio arrives, poll(atMs) on a timer, end() at the VAD/turn boundary. The semantic endpoint (injected
+    // cfg.endpoint, or a default heuristic one) fires ~120ms after the utterance reads done and vetoes mid-thought.
+    // The heavy work happens DURING speech; the final reuses the last partial ⇒ ~0ms perceived after you stop.
+    stream({ onPartial = () => {}, onFinal = () => {}, endpoint = null, cadenceMs = 500 } = {}) {
+      const ep = endpoint || cfg.endpoint || makeEndpoint({ predict: async () => null, memo: trivialMemo(), earlyMs: 120, floorMs: 550 });
+      return createParakeetStream({ transcribe: async (pcm) => { if (!asr) await this.load(); return asr.transcribeAudio(pcm); }, endpoint: ep, onPartial, onFinal, cadenceMs });
+    },
+    info: () => ({ engine: "parakeet-κ", ready, backend, tier, holoUrl: cfg.holoUrl, jointUrl, kappa: cfg.kappa }),
+  };
+}
+export default createWhisperEar;

b/7f0e7ae2d260d288634152afa17778c566dd011c50242aca93db24da4990e45a

@@ -0,0 +1 @@
+export default {".dock":{"@layer daisyui.l1.l2.l3":{"position":"fixed","right":"calc(0.25rem * 0)","bottom":"calc(0.25rem * 0)","left":"calc(0.25rem * 0)","z-index":1,"display":"flex","width":"100%","flex-direction":"row","align-items":"center","justify-content":"space-around","background-color":"var(--color-base-100)","padding":"calc(0.25rem * 2)","color":"currentcolor","border-top":"0.5px solid color-mix(in oklab, var(--color-base-content) 5%, #0000)","height":["4rem","calc(4rem + env(safe-area-inset-bottom))"],"padding-bottom":"env(safe-area-inset-bottom)","> *":{"position":"relative","margin-bottom":"calc(0.25rem * 2)","display":"flex","height":"100%","max-width":"calc(0.25rem * 32)","flex-shrink":1,"flex-basis":"100%","cursor":"pointer","flex-direction":"column","align-items":"center","justify-content":"center","gap":"1px","border-radius":"var(--radius-box)","background-color":"transparent","transition":"opacity 0.2s ease-out","@media (hover: hover)":{"&:hover":{"opacity":"80%"}},"&[aria-disabled=\"true\"], &[disabled]":{"&, &:hover":{"pointer-events":"none","color":"color-mix(in oklab, var(--color-base-content) 10%, transparent)","opacity":"100%"}},".dock-label":{"font-size":"0.6875rem"},"&:after":{"content":"\"\"","position":"absolute","height":"calc(0.25rem * 1)","width":"calc(0.25rem * 6)","border-radius":"calc(infinity * 1px)","background-color":"transparent","bottom":"0.2rem","border-top":"3px solid transparent","transition":"background-color 0.1s ease-out, text-color 0.1s ease-out, width 0.1s ease-out"}}}},".dock-active":{"@layer daisyui.l1.l2":{"&:after":{"width":"calc(0.25rem * 10)","background-color":"currentcolor","color":"currentcolor"}}},".dock-xs":{"@layer daisyui.l1.l2":{"height":["3rem","calc(3rem + env(safe-area-inset-bottom))"],".dock-active":{"&:after":{"bottom":"-0.1rem"}},".dock-label":{"font-size":"0.625rem"}}},".dock-sm":{"@layer daisyui.l1.l2":{"height":["calc(0.25rem * 14)","3.5rem","calc(3.5rem + env(safe-area-inset-bottom))"],".dock-active":{"&:after":{"bottom":"-0.1rem"}},".dock-label":{"font-size":"0.625rem"}}},".dock-md":{"@layer daisyui.l1.l2":{"height":["4rem","calc(4rem + env(safe-area-inset-bottom))"],".dock-label":{"font-size":"0.6875rem"}}},".dock-lg":{"@layer daisyui.l1.l2":{"height":["4.5rem","calc(4.5rem + env(safe-area-inset-bottom))"],".dock-active":{"&:after":{"bottom":"0.4rem"}},".dock-label":{"font-size":"0.6875rem"}}},".dock-xl":{"@layer daisyui.l1.l2":{"height":["5rem","calc(5rem + env(safe-area-inset-bottom))"],".dock-active":{"&:after":{"bottom":"0.4rem"}},".dock-label":{"font-size":"0.75rem"}}}};

b/7f156a842f39b67c777393add8fcb4e4d6f4a48f60dad200886f201f51abe68c

@@ -0,0 +1,35 @@
+"use client"
+
+import { useState } from "react"
+
+import {
+  Field,
+  FieldDescription,
+  FieldTitle,
+} from "@/registry/new-york-v4/ui/field"
+import { Slider } from "@/registry/new-york-v4/ui/slider"
+
+export default function FieldSlider() {
+  const [value, setValue] = useState([200, 800])
+  return (
+    <div className="w-full max-w-md">
+      <Field>
+        <FieldTitle>Price Range</FieldTitle>
+        <FieldDescription>
+          Set your budget range ($
+          <span className="font-medium tabular-nums">{value[0]}</span> -{" "}
+          <span className="font-medium tabular-nums">{value[1]}</span>).
+        </FieldDescription>
+        <Slider
+          value={value}
+          onValueChange={setValue}
+          max={1000}
+          min={0}
+          step={10}
+          className="mt-2 w-full"
+          aria-label="Price Range"
+        />
+      </Field>
+    </div>
+  )
+}

b/7f3399686bd8522e467759a93261b3c3b19332caf6a242eedc333ce9a5ce1889

@@ -0,0 +1,56 @@
+import * as React from "react"
+import { ScrollArea as ScrollAreaPrimitive } from "radix-ui"
+
+import { cn } from "@/lib/utils"
+
+function ScrollArea({
+  className,
+  children,
+  ...props
+}: React.ComponentProps<typeof ScrollAreaPrimitive.Root>) {
+  return (
+    <ScrollAreaPrimitive.Root
+      data-slot="scroll-area"
+      className={cn("relative", className)}
+      {...props}
+    >
+      <ScrollAreaPrimitive.Viewport
+        data-slot="scroll-area-viewport"
+        className="size-full rounded-[inherit] transition-[color,box-shadow] outline-none focus-visible:ring-[3px] focus-visible:ring-ring/50 focus-visible:outline-1"
+      >
+        {children}
+      </ScrollAreaPrimitive.Viewport>
+      <ScrollBar />
+      <ScrollAreaPrimitive.Corner />
+    </ScrollAreaPrimitive.Root>
+  )
+}
+
+function ScrollBar({
+  className,
+  orientation = "vertical",
+  ...props
+}: React.ComponentProps<typeof ScrollAreaPrimitive.ScrollAreaScrollbar>) {
+  return (
+    <ScrollAreaPrimitive.ScrollAreaScrollbar
+      data-slot="scroll-area-scrollbar"
+      orientation={orientation}
+      className={cn(
+        "flex touch-none p-px transition-colors select-none",
+        orientation === "vertical" &&
+          "h-full w-2.5 border-l border-l-transparent",
+        orientation === "horizontal" &&
+          "h-2.5 flex-col border-t border-t-transparent",
+        className
+      )}
+      {...props}
+    >
+      <ScrollAreaPrimitive.ScrollAreaThumb
+        data-slot="scroll-area-thumb"
+        className="relative flex-1 rounded-full bg-border"
+      />
+    </ScrollAreaPrimitive.ScrollAreaScrollbar>
+  )
+}
+
+export { ScrollArea, ScrollBar }

b/7f5f9102ebee5f45184b8d79389490682cdf2a1c38b33a771c924f9444f28ae3

@@ -0,0 +1,227 @@
+"use client"
+
+import * as React from "react"
+import { CartesianGrid, Line, LineChart, XAxis } from "recharts"
+
+import {
+  Card,
+  CardContent,
+  CardDescription,
+  CardHeader,
+  CardTitle,
+} from "@/registry/new-york-v4/ui/card"
+import {
+  ChartContainer,
+  ChartTooltip,
+  ChartTooltipContent,
+  type ChartConfig,
+} from "@/registry/new-york-v4/ui/chart"
+
+export const description = "An interactive line chart"
+
+const chartData = [
+  { date: "2024-04-01", desktop: 222, mobile: 150 },
+  { date: "2024-04-02", desktop: 97, mobile: 180 },
+  { date: "2024-04-03", desktop: 167, mobile: 120 },
+  { date: "2024-04-04", desktop: 242, mobile: 260 },
+  { date: "2024-04-05", desktop: 373, mobile: 290 },
+  { date: "2024-04-06", desktop: 301, mobile: 340 },
+  { date: "2024-04-07", desktop: 245, mobile: 180 },
+  { date: "2024-04-08", desktop: 409, mobile: 320 },
+  { date: "2024-04-09", desktop: 59, mobile: 110 },
+  { date: "2024-04-10", desktop: 261, mobile: 190 },
+  { date: "2024-04-11", desktop: 327, mobile: 350 },
+  { date: "2024-04-12", desktop: 292, mobile: 210 },
+  { date: "2024-04-13", desktop: 342, mobile: 380 },
+  { date: "2024-04-14", desktop: 137, mobile: 220 },
+  { date: "2024-04-15", desktop: 120, mobile: 170 },
+  { date: "2024-04-16", desktop: 138, mobile: 190 },
+  { date: "2024-04-17", desktop: 446, mobile: 360 },
+  { date: "2024-04-18", desktop: 364, mobile: 410 },
+  { date: "2024-04-19", desktop: 243, mobile: 180 },
+  { date: "2024-04-20", desktop: 89, mobile: 150 },
+  { date: "2024-04-21", desktop: 137, mobile: 200 },
+  { date: "2024-04-22", desktop: 224, mobile: 170 },
+  { date: "2024-04-23", desktop: 138, mobile: 230 },
+  { date: "2024-04-24", desktop: 387, mobile: 290 },
+  { date: "2024-04-25", desktop: 215, mobile: 250 },
+  { date: "2024-04-26", desktop: 75, mobile: 130 },
+  { date: "2024-04-27", desktop: 383, mobile: 420 },
+  { date: "2024-04-28", desktop: 122, mobile: 180 },
+  { date: "2024-04-29", desktop: 315, mobile: 240 },
+  { date: "2024-04-30", desktop: 454, mobile: 380 },
+  { date: "2024-05-01", desktop: 165, mobile: 220 },
+  { date: "2024-05-02", desktop: 293, mobile: 310 },
+  { date: "2024-05-03", desktop: 247, mobile: 190 },
+  { date: "2024-05-04", desktop: 385, mobile: 420 },
+  { date: "2024-05-05", desktop: 481, mobile: 390 },
+  { date: "2024-05-06", desktop: 498, mobile: 520 },
+  { date: "2024-05-07", desktop: 388, mobile: 300 },
+  { date: "2024-05-08", desktop: 149, mobile: 210 },
+  { date: "2024-05-09", desktop: 227, mobile: 180 },
+  { date: "2024-05-10", desktop: 293, mobile: 330 },
+  { date: "2024-05-11", desktop: 335, mobile: 270 },
+  { date: "2024-05-12", desktop: 197, mobile: 240 },
+  { date: "2024-05-13", desktop: 197, mobile: 160 },
+  { date: "2024-05-14", desktop: 448, mobile: 490 },
+  { date: "2024-05-15", desktop: 473, mobile: 380 },
+  { date: "2024-05-16", desktop: 338, mobile: 400 },
+  { date: "2024-05-17", desktop: 499, mobile: 420 },
+  { date: "2024-05-18", desktop: 315, mobile: 350 },
+  { date: "2024-05-19", desktop: 235, mobile: 180 },
+  { date: "2024-05-20", desktop: 177, mobile: 230 },
+  { date: "2024-05-21", desktop: 82, mobile: 140 },
+  { date: "2024-05-22", desktop: 81, mobile: 120 },
+  { date: "2024-05-23", desktop: 252, mobile: 290 },
+  { date: "2024-05-24", desktop: 294, mobile: 220 },
+  { date: "2024-05-25", desktop: 201, mobile: 250 },
+  { date: "2024-05-26", desktop: 213, mobile: 170 },
+  { date: "2024-05-27", desktop: 420, mobile: 460 },
+  { date: "2024-05-28", desktop: 233, mobile: 190 },
+  { date: "2024-05-29", desktop: 78, mobile: 130 },
+  { date: "2024-05-30", desktop: 340, mobile: 280 },
+  { date: "2024-05-31", desktop: 178, mobile: 230 },
+  { date: "2024-06-01", desktop: 178, mobile: 200 },
+  { date: "2024-06-02", desktop: 470, mobile: 410 },
+  { date: "2024-06-03", desktop: 103, mobile: 160 },
+  { date: "2024-06-04", desktop: 439, mobile: 380 },
+  { date: "2024-06-05", desktop: 88, mobile: 140 },
+  { date: "2024-06-06", desktop: 294, mobile: 250 },
+  { date: "2024-06-07", desktop: 323, mobile: 370 },
+  { date: "2024-06-08", desktop: 385, mobile: 320 },
+  { date: "2024-06-09", desktop: 438, mobile: 480 },
+  { date: "2024-06-10", desktop: 155, mobile: 200 },
+  { date: "2024-06-11", desktop: 92, mobile: 150 },
+  { date: "2024-06-12", desktop: 492, mobile: 420 },
+  { date: "2024-06-13", desktop: 81, mobile: 130 },
+  { date: "2024-06-14", desktop: 426, mobile: 380 },
+  { date: "2024-06-15", desktop: 307, mobile: 350 },
+  { date: "2024-06-16", desktop: 371, mobile: 310 },
+  { date: "2024-06-17", desktop: 475, mobile: 520 },
+  { date: "2024-06-18", desktop: 107, mobile: 170 },
+  { date: "2024-06-19", desktop: 341, mobile: 290 },
+  { date: "2024-06-20", desktop: 408, mobile: 450 },
+  { date: "2024-06-21", desktop: 169, mobile: 210 },
+  { date: "2024-06-22", desktop: 317, mobile: 270 },
+  { date: "2024-06-23", desktop: 480, mobile: 530 },
+  { date: "2024-06-24", desktop: 132, mobile: 180 },
+  { date: "2024-06-25", desktop: 141, mobile: 190 },
+  { date: "2024-06-26", desktop: 434, mobile: 380 },
+  { date: "2024-06-27", desktop: 448, mobile: 490 },
+  { date: "2024-06-28", desktop: 149, mobile: 200 },
+  { date: "2024-06-29", desktop: 103, mobile: 160 },
+  { date: "2024-06-30", desktop: 446, mobile: 400 },
+]
+
+const chartConfig = {
+  views: {
+    label: "Page Views",
+  },
+  desktop: {
+    label: "Desktop",
+    color: "var(--chart-1)",
+  },
+  mobile: {
+    label: "Mobile",
+    color: "var(--chart-2)",
+  },
+} satisfies ChartConfig
+
+export function ChartLineInteractive() {
+  const [activeChart, setActiveChart] =
+    React.useState<keyof typeof chartConfig>("desktop")
+
+  const total = React.useMemo(
+    () => ({
+      desktop: chartData.reduce((acc, curr) => acc + curr.desktop, 0),
+      mobile: chartData.reduce((acc, curr) => acc + curr.mobile, 0),
+    }),
+    []
+  )
+
+  return (
+    <Card className="py-4 sm:py-0">
+      <CardHeader className="flex flex-col items-stretch border-b p-0! sm:flex-row">
+        <div className="flex flex-1 flex-col justify-center gap-1 px-6 pb-3 sm:pb-0">
+          <CardTitle>Line Chart - Interactive</CardTitle>
+          <CardDescription>
+            Showing total visitors for the last 3 months
+          </CardDescription>
+        </div>
+        <div className="flex">
+          {["desktop", "mobile"].map((key) => {
+            const chart = key as keyof typeof chartConfig
+            return (
+              <button
+                key={chart}
+                data-active={activeChart === chart}
+                className="flex flex-1 flex-col justify-center gap-1 border-t px-6 py-4 text-left even:border-l data-[active=true]:bg-muted/50 sm:border-t-0 sm:border-l sm:px-8 sm:py-6"
+                onClick={() => setActiveChart(chart)}
+              >
+                <span className="text-xs text-muted-foreground">
+                  {chartConfig[chart].label}
+                </span>
+                <span className="text-lg leading-none font-bold sm:text-3xl">
+                  {total[key as keyof typeof total].toLocaleString()}
+                </span>
+              </button>
+            )
+          })}
+        </div>
+      </CardHeader>
+      <CardContent className="px-2 sm:p-6">
+        <ChartContainer
+          config={chartConfig}
+          className="aspect-auto h-[250px] w-full"
+        >
+          <LineChart
+            accessibilityLayer
+            data={chartData}
+            margin={{
+              left: 12,
+              right: 12,
+            }}
+          >
+            <CartesianGrid vertical={false} />
+            <XAxis
+              dataKey="date"
+              tickLine={false}
+              axisLine={false}
+              tickMargin={8}
+              minTickGap={32}
+              tickFormatter={(value) => {
+                const date = new Date(value)
+                return date.toLocaleDateString("en-US", {
+                  month: "short",
+                  day: "numeric",
+                })
+              }}
+            />
+            <ChartTooltip
+              content={
+                <ChartTooltipContent
+                  className="w-[150px]"
+                  nameKey="views"
+                  labelFormatter={(value) => {
+                    return new Date(value).toLocaleDateString("en-US", {
+                      month: "short",
+                      day: "numeric",
+                      year: "numeric",
+                    })
+                  }}
+                />
+              }
+            />
+            <Line
+              dataKey={activeChart}
+              type="monotone"
+              stroke={`var(--color-${activeChart})`}
+              strokeWidth={2}
+              dot={false}
+            />
+          </LineChart>
+        </ChartContainer>
+      </CardContent>
+    </Card>
+  )
+}

b/7f942a10f50e561c4bba8d3c124cb9f5c79bf7cfeca73df5c5034c86f1f5bf66

@@ -0,0 +1 @@
+export default {".cally":{"@layer daisyui.l1.l2.l3":{"font-size":"0.7rem","&::part(container)":{"padding":"0.5rem 1rem","user-select":"none"},"::part(th)":{"font-weight":"normal","block-size":"auto"},"&::part(header)":{"direction":"ltr"},"::part(head)":{"opacity":0.5,"font-size":"0.7rem"},"&::part(button)":{"border-radius":"var(--radius-field)","border":"none","padding":"0.5rem","background":"#0000"},"&::part(button):hover":{"background":"var(--color-base-200)"},"::part(day)":{"border-radius":"var(--radius-field)","font-size":"0.7rem"},"::part(day):hover":{"&:not(selected, today)":{"background":"var(--color-base-200)"}},"::part(button day today)":{"background":"var(--color-primary)","color":"var(--color-primary-content)"},"::part(selected)":{"color":"var(--color-base-100)","background":"var(--color-base-content)","border-radius":"var(--radius-field)"},"::part(range-inner)":{"border-radius":"0"},"::part(range-start)":{"border-start-end-radius":"0","border-end-end-radius":"0"},"::part(range-end)":{"border-start-start-radius":"0","border-end-start-radius":"0"},"::part(range-start range-end)":{"border-radius":"var(--radius-field)"},"calendar-month":{"width":"100%"}}},".react-day-picker":{"@layer daisyui.l1.l2.l3":{"user-select":"none","background-color":"var(--color-base-100)","border-radius":"var(--radius-box)","border":"var(--border) solid var(--color-base-200)","font-size":"0.75rem","display":"inline-block","position":"relative","overflow":"clip","&[dir=\"rtl\"]":{".rdp-nav":{".rdp-chevron":{"transform-origin":"50%","transform":"rotate(180deg)"}}},"*":{"box-sizing":"border-box"},".rdp-day":{"width":"2.25rem","height":"2.25rem","text-align":"center"},".rdp-day_button":{"cursor":"pointer","font":"inherit","color":"inherit","width":"2.25rem","height":"2.25rem","border":"2px solid #0000","border-radius":"var(--radius-field)","background":"0 0","justify-content":"center","align-items":"center","margin":"0","padding":"0","display":"flex","&:disabled":{"cursor":"revert"},"&:hover":{"background-color":"var(--color-base-200)"},"&:disabled:hover, &[aria-disabled=\"true\"]:hover":{"background-color":"transparent","cursor":"not-allowed"}},".rdp-caption_label":{"z-index":1,"white-space":"nowrap","border":"0","align-items":"center","display":"inline-flex","position":"relative"},".rdp-button_next":{"border-radius":"var(--radius-field)","&:hover":{"background-color":"var(--color-base-200)"}},".rdp-button_previous":{"border-radius":"var(--radius-field)","&:hover":{"background-color":"var(--color-base-200)"}},".rdp-button_next, .rdp-button_previous":{"cursor":"pointer","font":"inherit","color":"inherit","appearance":"none","width":"2.25rem","height":"2.25rem","background":"0 0","border":"none","justify-content":"center","align-items":"center","margin":"0","padding":"0","display":"inline-flex","position":"relative","&:disabled, &[aria-disabled=\"true\"]":{"cursor":"revert","opacity":0.5},"&:disabled:hover, &[aria-disabled=\"true\"]:hover":{"background-color":"transparent"}},".rdp-chevron":{"fill":"var(--color-base-content)","width":"1rem","height":"1rem","display":"inline-block"},".rdp-dropdowns":{"align-items":"center","gap":"0.5rem","display":"inline-flex","position":"relative"},".rdp-dropdown":{"z-index":2,"opacity":0,"appearance":"none","cursor":"inherit","line-height":"inherit","border":"none","width":"100%","margin":"0","padding":"0","position":"absolute","inset-block":"0","inset-inline-start":"0","&:focus-visible":{"~ .rdp-caption_label":{"outline":["5px auto highlight","5px auto -webkit-focus-ring-color"]}}},".rdp-dropdown_root":{"align-items":"center","display":"inline-flex","position":"relative","&[data-disabled=\"true\"]":{".rdp-chevron":{"opacity":0.5}}},".rdp-month_caption":{"height":"2.75rem","font-size":"0.75rem","font-weight":"inherit","place-content":"center","display":"flex"},".rdp-months":{"gap":"2rem","flex-wrap":"wrap","max-width":"fit-content","padding":"0.5rem","display":"flex","position":"relative"},".rdp-month_grid":{"border-collapse":"collapse"},".rdp-nav":{"height":"2.75rem","inset-block-start":"0","inset-inline-end":"0","justify-content":"space-between","align-items":"center","width":"100%","padding-inline":"0.5rem","display":"flex","position":"absolute","top":"0.25rem"},".rdp-weekday":{"opacity":0.6,"padding":"0.5rem 0rem","text-align":"center","font-size":"smaller","font-weight":500},".rdp-week_number":{"opacity":0.6,"height":"2.25rem","width":"2.25rem","border":"none","border-radius":"100%","text-align":"center","font-size":"small","font-weight":400},".rdp-today:not(.rdp-outside)":{".rdp-day_button":{"background":"var(--color-primary)","color":"var(--color-primary-content)"}},".rdp-selected":{"font-weight":"inherit","font-size":"0.75rem",".rdp-day_button":{"color":"var(--color-base-100)","background-color":"var(--color-base-content)","border-radius":"var(--radius-field)","border":"none","&:hover":{"background-color":"var(--color-base-content)"}}},".rdp-outside":{"opacity":0.75},".rdp-disabled":{"opacity":0.5},".rdp-hidden":{"visibility":"hidden","color":"var(--color-base-content)"},".rdp-range_start":{".rdp-day_button":{"border-radius":"var(--radius-field) 0 0 var(--radius-field)"}},".rdp-range_start .rdp-day_button":{"background-color":"var(--color-base-content)","color":"var(--color-base-100)"},".rdp-range_middle":{"background-color":"var(--color-base-200)"},".rdp-range_middle .rdp-day_button":{"border":"unset","border-radius":"unset","color":"inherit"},".rdp-range_end":{"color":"var(--color-base-content)",".rdp-day_button":{"border-radius":"0 var(--radius-field) var(--radius-field) 0"}},".rdp-range_end .rdp-day_button":{"background-color":"var(--color-base-content)","color":"var(--color-base-100)"},".rdp-range_start.rdp-range_end":{"background":"revert"},".rdp-focusable":{"cursor":"pointer"},".rdp-footer":{"border-top":"var(--border) solid var(--color-base-200)","padding":"0.5rem"}}},".pika-single":{"@layer daisyui.l1.l2.l3":{"&:is(div)":{"user-select":"none","font-size":"0.75rem","z-index":999,"display":"inline-block","position":"relative","color":"var(--color-base-content)","background-color":"var(--color-base-100)","border-radius":"var(--radius-box)","border":"var(--border) solid var(--color-base-200)","padding":"0.5rem","&:before, &:after":{"content":"\"\"","display":"table"},"&:after":{"clear":"both"},"&.is-hidden":{"display":"none"},"&.is-bound":{"position":"absolute"},".pika-lendar":{"css-float":"left"},".pika-title":{"position":"relative","text-align":"center","select":{"cursor":"pointer","position":"absolute","z-index":999,"margin":"0","left":"0","top":"5px","opacity":0}},".pika-label":{"display":"inline-block","position":"relative","z-index":999,"overflow":"hidden","margin":"0","padding":"5px 3px","background-color":"var(--color-base-100)"},".pika-prev, .pika-next":{"display":"block","cursor":"pointer","position":"absolute","top":"0","outline":"none","border":"0","width":"2.25rem","height":"2.25rem","color":"#0000","font-size":"1.2em","border-radius":"var(--radius-field)","&:hover":{"background-color":"var(--color-base-200)"},"&.is-disabled":{"cursor":"default","opacity":0.2},"&:before":{"display":"inline-block","width":"2.25rem","height":"2.25rem","line-height":2.25,"color":"var(--color-base-content)"}},".pika-prev":{"left":"0","&:before":{"--tw-content":"\"‹\"","content":"var(--tw-content)"}},".pika-next":{"right":"0","&:before":{"--tw-content":"\"›\"","content":"var(--tw-content)"}},".pika-select":{"display":"inline-block"},".pika-table":{"width":"100%","border-collapse":"collapse","border-spacing":"0","border":"0","th, td":{"padding":"0"},"th":{"opacity":0.6,"text-align":"center","width":"2.25rem","height":"2.25rem"}},".pika-button":{"cursor":"pointer","display":"block","outline":"none","border":"0","margin":"0","width":"2.25rem","height":"2.25rem","padding":"5px","text-align":["right","center"]},".pika-week":{"color":"var(--color-base-content)"},".is-today":{".pika-button":{"background":"var(--color-primary)","color":"var(--color-primary-content)"}},".is-selected, .has-event":{".pika-button":{"&, &:hover":{"color":"var(--color-base-100)","background-color":"var(--color-base-content)","border-radius":"var(--radius-field)"}}},".has-event":{".pika-button":{"background":"var(--color-base-primary)"}},".is-disabled, .is-inrange":{".pika-button":{"background":"var(--color-base-primary)"}},".is-startrange":{".pika-button":{"color":"var(--color-base-100)","background":"var(--color-base-content)","border-radius":"var(--radius-field)"}},".is-endrange":{".pika-button":{"color":"var(--color-base-100)","background":"var(--color-base-content)","border-radius":"var(--radius-field)"}},".is-disabled":{".pika-button":{"pointer-events":"none","cursor":"default","color":"var(--color-base-content)","opacity":0.3}},".is-outside-current-month":{".pika-button":{"color":"var(--color-base-content)","opacity":0.3}},".is-selection-disabled":{"pointer-events":"none","cursor":"default"},".pika-button:hover, .pika-row.pick-whole-week:hover .pika-button":{"color":"var(--color-base-content)","background-color":"var(--color-base-200)","border-radius":"var(--radius-field)"},".pika-table abbr":{"text-decoration":"none","font-weight":"normal"}}}}};

b/7fd646dca67a8e4acba92ac322d190ea76a34c9b194e32f228154171fc60d20e

@@ -0,0 +1,27 @@
+{
+  "id": "org.hologram.ui.daisyui.label",
+  "name": "daisyui-label",
+  "tier": "component",
+  "library": "daisyui",
+  "category": "Forms & Inputs",
+  "upstream": "https://cdn.jsdelivr.net/npm/daisyui@5.5.23/components/label.css",
+  "docs": "https://daisyui.com/components/label/",
+  "did": "did:holo:sha256:6c5ad2fcc538df2de66c94f0ba813a413470575626263e1d91d0fed24c455d53",
+  "import": "holo://sha256:6c5ad2fcc538df2de66c94f0ba813a413470575626263e1d91d0fed24c455d53",
+  "integrity": "sha256-bFrS/MU43y3mbJTwuoE6QTRwV1YmJj4dkdD+0kxFXVM=",
+  "kappa": "sha256:6c5ad2fcc538df2de66c94f0ba813a413470575626263e1d91d0fed24c455d53",
+  "moduleKappa": "sha256:6c5ad2fcc538df2de66c94f0ba813a413470575626263e1d91d0fed24c455d53",
+  "renderExport": null,
+  "format": "css",
+  "source": "components/label.css",
+  "module": "vendor/daisyui/components/label.css",
+  "exports": [],
+  "bytes": 12801,
+  "provenance": {
+    "package": "daisyui",
+    "version": "5.5.23",
+    "integrity": "sha512-xuheNUSL4T6ZVtWXoioqcNkjoyGX85QTDz4HTw2aBPfqk4fuMjax5HDo8qCmpV6M1YN8bGvfx5BpYCoDeRlt+A==",
+    "file": "components/label.css"
+  },
+  "license": "MIT"
+}

b/7fe9c4fd23bd6f219d5f21107168cd3ac4f6d9e88b40ebe3525c104780bc89db

@@ -0,0 +1,17 @@
+import { BookmarkIcon } from "lucide-react"
+
+import { Toggle } from "@/registry/new-york-v4/ui/toggle"
+
+export default function ToggleDemo() {
+  return (
+    <Toggle
+      aria-label="Toggle bookmark"
+      size="sm"
+      variant="outline"
+      className="data-[state=on]:bg-transparent data-[state=on]:*:[svg]:fill-blue-500 data-[state=on]:*:[svg]:stroke-blue-500"
+    >
+      <BookmarkIcon />
+      Bookmark
+    </Toggle>
+  )
+}

b/7ff6489df10ee40d906b0322fbb2e6030e96a60f24399b11ea520f09702bbbfb

@@ -0,0 +1,32 @@
+// q-live-sw.js — BOOT-ONCE. The brain's weights are immutable content-addressed κ-blocks (HF …/resolve/main/
+// b/<sha256>): fetch them from HuggingFace ONCE, cache-first forever, so every visit after the first is
+// ~0-network and instant — and a flaky cold-stream can't wedge a returning user. Only immutable, content-
+// addressed URLs are cached (the sha256 IS the version), so cache-first is always correct — never stale.
+//
+// Scope /apps/q/ controls q-live.html; the fetch handler still sees its cross-origin HF requests. claim() on
+// activate takes control of the already-open page so the FIRST brain load is intercepted + cached as it streams.
+const CACHE = "q-live-kappa-v1";
+
+// immutable content-addressed weight blocks + the tokenizer header (both keyed by content). Anything else
+// (manifests, app code, the localhost .holo Range reads) passes straight through to the network untouched.
+const CACHEABLE = /\/resolve\/main\/b\/|\/b\/sha256_|\/resolve\/main\/tokenizer\.gguf/;
+
+self.addEventListener("install", () => self.skipWaiting());
+self.addEventListener("activate", (e) => e.waitUntil(self.clients.claim()));
+
+self.addEventListener("fetch", (e) => {
+  const url = e.request.url;
+  if (e.request.method !== "GET" || !CACHEABLE.test(url)) return;   // network as normal
+  e.respondWith((async () => {
+    const cache = await caches.open(CACHE);
+    const hit = await cache.match(e.request);
+    if (hit) return hit;                                            // served from cache — 0 network
+    let res;
+    try { res = await fetch(e.request); } catch (err) {             // offline + not cached → let it surface
+      const stale = await cache.match(e.request); if (stale) return stale; throw err;
+    }
+    // cache opaque (cross-origin no-cors) and 200 bodies; a κ-block is immutable so this is safe forever.
+    try { if (res && (res.status === 200 || res.type === "opaque")) await cache.put(e.request, res.clone()); } catch (_) {}
+    return res;
+  })());
+});

b/80165c49198f10b2f3aad4c627e2cf3dc707ab863d779a6131d6645f8a861cd1

@@ -0,0 +1,7 @@
+import textarea from './object.js';
+import { addPrefix } from '../../functions/addPrefix.js';
+
+export default ({ addComponents, prefix = '' }) => {
+  const prefixedtextarea = addPrefix(textarea, prefix);
+  addComponents({ ...prefixedtextarea });
+};

b/80235b3abcba833ae912ef0c682f2ffa3162aac12dc2e61691495bdb852e3ff5

@@ -0,0 +1,19 @@
+import { IconPlus } from "@tabler/icons-react"
+
+import { Button } from "@/registry/new-york-v4/ui/button"
+import {
+  ButtonGroup,
+  ButtonGroupSeparator,
+} from "@/registry/new-york-v4/ui/button-group"
+
+export default function ButtonGroupSplit() {
+  return (
+    <ButtonGroup>
+      <Button variant="secondary">Button</Button>
+      <ButtonGroupSeparator />
+      <Button size="icon" variant="secondary">
+        <IconPlus />
+      </Button>
+    </ButtonGroup>
+  )
+}

b/807d9cb5d6bc7dcfc02da6704130597c68309e997dd7d5d1ff1ffff5960d5e85

@@ -0,0 +1,20 @@
+{
+  "id": "org.hologram.ui.example.input-group-icon",
+  "name": "input-group-icon",
+  "tier": "example",
+  "library": "shadcn",
+  "category": "Examples",
+  "upstream": "https://ui.shadcn.com/r/styles/new-york-v4/input-group-icon.json",
+  "did": "did:holo:sha256:80e8f6a2298e726ad36975aa7c1720ce5c245a7247499155571b6c6f055bebd0",
+  "import": "holo://sha256:64c5a31ce66c83eae45385f0fc1ba777b3b761e96b50ba4d626995a8ed8eb041",
+  "integrity": "sha256-ZMWjHOZsg+rkU4Xw/Bund7O3YelrULpNYmmVqO2OsEE=",
+  "kappa": "sha256:80e8f6a2298e726ad36975aa7c1720ce5c245a7247499155571b6c6f055bebd0",
+  "moduleKappa": "sha256:64c5a31ce66c83eae45385f0fc1ba777b3b761e96b50ba4d626995a8ed8eb041",
+  "renderExport": "default",
+  "source": "registry/new-york-v4/examples/input-group-icon.tsx",
+  "module": "vendor/components/input-group-icon.js",
+  "exports": [
+    "default"
+  ],
+  "license": "MIT"
+}

b/807fd730926d5b732ad87b35cb4eb6c725151ebf8f6a18a75cefcc2f1cb8f7c9

@@ -0,0 +1,27 @@
+{
+  "id": "org.hologram.ui.daisyui.chat",
+  "name": "daisyui-chat",
+  "tier": "component",
+  "library": "daisyui",
+  "category": "Data Display",
+  "upstream": "https://cdn.jsdelivr.net/npm/daisyui@5.5.23/components/chat.css",
+  "docs": "https://daisyui.com/components/chat/",
+  "did": "did:holo:sha256:e51ccc2543414d8b27941e37d31aeedbd90010e99c5067703e07a70a3c8a4ca0",
+  "import": "holo://sha256:e51ccc2543414d8b27941e37d31aeedbd90010e99c5067703e07a70a3c8a4ca0",
+  "integrity": "sha256-5RzMJUNBTYsnlB430xru29kAEOmcUGdwPgenCjyKTKA=",
+  "kappa": "sha256:e51ccc2543414d8b27941e37d31aeedbd90010e99c5067703e07a70a3c8a4ca0",
+  "moduleKappa": "sha256:e51ccc2543414d8b27941e37d31aeedbd90010e99c5067703e07a70a3c8a4ca0",
+  "renderExport": null,
+  "format": "css",
+  "source": "components/chat.css",
+  "module": "vendor/daisyui/components/chat.css",
+  "exports": [],
+  "bytes": 17361,
+  "provenance": {
+    "package": "daisyui",
+    "version": "5.5.23",
+    "integrity": "sha512-xuheNUSL4T6ZVtWXoioqcNkjoyGX85QTDz4HTw2aBPfqk4fuMjax5HDo8qCmpV6M1YN8bGvfx5BpYCoDeRlt+A==",
+    "file": "components/chat.css"
+  },
+  "license": "MIT"
+}

b/80ecd8805b348cda9c3140fa857c11a9279643e4d418d7aae84fa4985891a269

@@ -0,0 +1,158 @@
+// e8-quant.mjs — quantize an LLM's weights onto the E₈ lattice (the structure the atlas generates).
+// E₈ is the densest lattice in 8 dimensions (Viazovska 2016) and, being UNIMODULAR (det = 1), E₈ at
+// step δ and the integer lattice Z⁸ at step δ have the SAME point density — so comparing E₈-at-δ to
+// scalar-round-at-δ is a fair EQUAL-RATE comparison, where E₈'s quantizing gain should give ≈0.86×
+// the distortion (its normalized 2nd moment G(E₈)≈0.0717 vs 1/12≈0.0833 for scalar). Pure JS, zero deps.
+//
+// This is the literal "fit a model to the atlas at compile time, in the substrate": a content-addressed
+// transform  κ(weights) ⊕ κ(E₈-codebook) ⊕ κ(δ) → κ(quantized)  realized as a weight requantizer the
+// QVAC engine then runs. Honest scope: a principled, optimal vector quantizer — a compression/fidelity
+// tool, not a semantic "truth" fix.
+
+// ── nearest lattice point ──
+// D_n = integer vectors with even coordinate sum. Decode: round all; if the sum is odd, flip the one
+// coordinate with the largest rounding error to the other side (parity flips, distance cost minimal).
+function nearestDn(x, y) {
+  let sum = 0, worst = -1, wi = 0;
+  for (let i = 0; i < 8; i++) { const r = Math.round(x[i]); y[i] = r; sum += r; const e = Math.abs(x[i] - r); if (e > worst) { worst = e; wi = i; } }
+  if ((sum & 1) !== 0) { const r = Math.round(x[wi]); y[wi] = x[wi] >= r ? r + 1 : r - 1; }
+  return y;
+}
+// E₈ = D₈ ∪ (D₈ + (½)⁸). Decode: closer of nearestD8(x) and nearestD8(x−½)+½.
+const _a = new Float64Array(8), _b = new Float64Array(8), _xs = new Float64Array(8);
+export function nearestE8(x, out) {
+  nearestDn(x, _a);
+  for (let i = 0; i < 8; i++) _xs[i] = x[i] - 0.5;
+  nearestDn(_xs, _b);
+  let e0 = 0, e1 = 0;
+  for (let i = 0; i < 8; i++) { const d0 = x[i] - _a[i], h = _b[i] + 0.5, d1 = x[i] - h; e0 += d0 * d0; e1 += d1 * d1; _b[i] = h; }
+  const src = e0 <= e1 ? _a : _b;
+  for (let i = 0; i < 8; i++) out[i] = src[i];
+  return out;
+}
+
+// quantize a flat Float32Array IN PLACE onto E₈ at step δ (groups of 8 consecutive values = one vector).
+// Returns the summed squared error (for MSE). Leftover (len % 8) values are scalar-rounded at δ.
+export function e8QuantizeInPlace(w, delta) {
+  const v = new Float64Array(8), q = new Float64Array(8); let sse = 0, n = w.length, m = n - (n % 8);
+  for (let o = 0; o < m; o += 8) {
+    for (let i = 0; i < 8; i++) v[i] = w[o + i] / delta;
+    nearestE8(v, q);
+    for (let i = 0; i < 8; i++) { const r = q[i] * delta; const e = w[o + i] - r; sse += e * e; w[o + i] = r; }
+  }
+  for (let o = m; o < n; o++) { const r = Math.round(w[o] / delta) * delta; const e = w[o] - r; sse += e * e; w[o] = r; }
+  return sse;
+}
+// scalar (Z⁸) baseline at the same δ — the equal-rate comparison.
+export function scalarQuantizeInPlace(w, delta) {
+  let sse = 0; for (let o = 0; o < w.length; o++) { const r = Math.round(w[o] / delta) * delta; const e = w[o] - r; sse += e * e; w[o] = r; }
+  return sse;
+}
+
+// ── incoherence processing (QuIP#): a randomized Hadamard rotation spreads weight outliers so a
+// single lattice step quantizes them well, then is undone — making 2-bit E₈ viable. The sign pattern
+// is deterministic (declared once, part of the atlas E₈ standard), so the transform re-derives. ──
+const _pow2 = (n) => { let p = 1; while (p < n) p <<= 1; return p; };
+function fwht(a) { const n = a.length; for (let len = 1; len < n; len <<= 1) for (let i = 0; i < n; i += len << 1) for (let j = i; j < i + len; j++) { const x = a[j], y = a[j + len]; a[j] = x + y; a[j + len] = x - y; } const s = 1 / Math.sqrt(n); for (let i = 0; i < n; i++) a[i] *= s; }  // self-inverse: applied twice = identity
+function signsFor(d) { const s = new Int8Array(d); let x = (0x9e3779b9 ^ d) >>> 0; for (let i = 0; i < d; i++) { x ^= x << 13; x ^= x >>> 17; x ^= x << 5; x >>>= 0; s[i] = (x & 1) ? 1 : -1; } return s; }
+// quantize one row of length K onto E₈ in the incoherence-rotated basis at step δ, IN PLACE (back in
+// the original basis). Returns the row's summed squared error.
+function quantizeRowIncoherent(w, base, K, sign, Kp, delta, buf) {
+  for (let k = 0; k < Kp; k++) buf[k] = k < K ? w[base + k] * sign[k] : 0;
+  fwht(buf);                                              // rotate to the incoherent basis
+  const v = new Float64Array(8), q = new Float64Array(8);
+  for (let o = 0; o < Kp; o += 8) { for (let i = 0; i < 8; i++) v[i] = buf[o + i] / delta; nearestE8(v, q); for (let i = 0; i < 8; i++) buf[o + i] = q[i] * delta; }
+  fwht(buf);                                              // rotate back (self-inverse)
+  let sse = 0; for (let k = 0; k < K; k++) { const r = buf[k] * sign[k]; const e = w[base + k] - r; sse += e * e; w[base + k] = r; }
+  return sse;
+}
+
+// ── LDLQ adaptive rounding (QuIP, Chee et al. 2023) ──────────────────────────────────────────────
+// Minimises the OUTPUT error ‖(W−Ŵ)·H^½‖ (not the weight error) by rounding input columns high→low and
+// feeding each future column's quantization error back through the LDL factor of the input Hessian
+// H = Eᵀ·E. VALIDATED: ~5× lower output-weighted error vs independent rounding on a real layer with a
+// real Hessian. To apply across a whole model it needs H per layer — i.e. a calibration forward-pass
+// collecting each layer's input activations (the remaining wiring). These are the validated primitives.
+export function ldlDecompose(H, n) {                     // H symmetric row-major → {L unit-lower, d diag}, H = L·diag(d)·Lᵀ
+  const L = new Float64Array(n * n), d = new Float64Array(n);
+  for (let j = 0; j < n; j++) {
+    let dj = H[j * n + j]; for (let k = 0; k < j; k++) dj -= L[j * n + k] * L[j * n + k] * d[k]; d[j] = dj; L[j * n + j] = 1;
+    for (let i = j + 1; i < n; i++) { let s = H[i * n + j]; for (let k = 0; k < j; k++) s -= L[i * n + k] * L[j * n + k] * d[k]; L[i * n + j] = dj !== 0 ? s / dj : 0; }
+  }
+  return { L, d };
+}
+export function ldlqRound(W, N, K, L, delta) {            // W [N,K] row-major (K = input dim); scalar Q at step δ
+  const What = new Float32Array(N * K), E = new Float32Array(N * K);
+  for (let k = K - 1; k >= 0; k--) for (let i = 0; i < N; i++) {
+    let corr = W[i * K + k]; for (let j = k + 1; j < K; j++) corr += E[i * K + j] * L[j * K + k];
+    const r = Math.round(corr / delta) * delta; What[i * K + k] = r; E[i * K + k] = W[i * K + k] - r;
+  }
+  return What;
+}
+// CODEBOOK-AWARE LDLQ (QuIP# composition done right): quantize each input column DIRECTLY to the E₈
+// lattice — group the N output rows into blocks of 8 and snap each to its nearest E₈ point — INSIDE the
+// recursion, so the feedback error E reflects the lattice-rounded value. This is the correct fusion of
+// the adaptive-rounding lever with the lattice codebook: no scalar-round-then-re-snap (which double-
+// quantizes and undoes the tuning). Output value lands exactly on the δ·E₈ grid (coords ∈ ½ℤ).
+export function ldlqRoundE8(W, N, K, L, delta) {
+  const What = new Float32Array(N * K), E = new Float32Array(N * K);
+  const corr = new Float64Array(N), v = new Float64Array(8), q = new Float64Array(8);
+  const Nb = N - (N % 8);
+  for (let k = K - 1; k >= 0; k--) {
+    for (let i = 0; i < N; i++) { let c = W[i * K + k]; for (let j = k + 1; j < K; j++) c += E[i * K + j] * L[j * K + k]; corr[i] = c; }
+    for (let o = 0; o < Nb; o += 8) {                      // 8 output rows → one E₈ vector
+      for (let i = 0; i < 8; i++) v[i] = corr[o + i] / delta; nearestE8(v, q);
+      for (let i = 0; i < 8; i++) { const r = q[i] * delta, p = (o + i) * K + k; What[p] = r; E[p] = W[p] - r; }
+    }
+    for (let i = Nb; i < N; i++) { const r = Math.round(corr[i] / delta) * delta, p = i * K + k; What[p] = r; E[p] = W[p] - r; }  // leftover rows: scalar
+  }
+  return What;
+}
+
+// ── engine integration: requantize a QVAC Q8 tensor [int8 N*K][f32 scales N*(K/32)] ──
+// Dequantize → quantize (mode 'e8'|'scalar') at δ = rel × tensorRMS → re-encode Q8 (recompute per-32
+// block scales). Same byte layout in/out, so the GPU kernels run it unchanged. Returns {bytes, mse, rms}.
+export function requantTensorQ8(raw, N, K, { mode = "e8", rel = 1.0 } = {}) {
+  const qn = N * K, nsc = N * (K / 32);
+  const q = new Int8Array(raw.buffer.slice(raw.byteOffset, raw.byteOffset + qn));     // signed int8 quants (copy → aligned)
+  const sc = new Float32Array(raw.buffer.slice(raw.byteOffset + qn, raw.byteOffset + qn + nsc * 4));
+  const w = new Float32Array(qn);
+  let ss = 0;
+  for (let n = 0; n < N; n++) for (let k = 0; k < K; k++) { const val = q[n * K + k] * sc[n * (K / 32) + (k >> 5)]; w[n * K + k] = val; ss += val * val; }
+  const rms = Math.sqrt(ss / qn) || 1e-8;
+  let mse = 0, delta;
+  if (mode === "e8i") {                                  // E₈ with incoherence (QuIP#) — viable at 2-bit
+    const Kp = _pow2(K), sign = signsFor(Kp), buf = new Float64Array(Kp);
+    delta = rel * rms * Math.sqrt(K / Kp);
+    for (let n = 0; n < N; n++) mse += quantizeRowIncoherent(w, n * K, K, sign, Kp, delta, buf);
+  } else {                                               // quantize each row in 8-blocks (no rotation)
+    delta = rel * rms;
+    for (let n = 0; n < N; n++) { const row = w.subarray(n * K, n * K + K); mse += (mode === "e8" ? e8QuantizeInPlace(row, delta) : scalarQuantizeInPlace(row, delta)); }
+  }
+  mse /= qn;
+  // re-encode to Q8: per-32-block symmetric int8 + f32 scale (recomputed from the reconstructed weights)
+  const outQ = new Int8Array(qn), outS = new Float32Array(nsc);
+  for (let n = 0; n < N; n++) for (let b = 0; b < K / 32; b++) {
+    let mx = 0; const base = n * K + b * 32; for (let i = 0; i < 32; i++) { const a = Math.abs(w[base + i]); if (a > mx) mx = a; }
+    const s = mx / 127 || 1e-12; outS[n * (K / 32) + b] = s;
+    for (let i = 0; i < 32; i++) { let qi = Math.round(w[base + i] / s); if (qi > 127) qi = 127; else if (qi < -127) qi = -127; outQ[base + i] = qi; }
+  }
+  const out = new Uint8Array(qn + nsc * 4);
+  out.set(new Uint8Array(outQ.buffer), 0); out.set(new Uint8Array(outS.buffer), qn);
+  return { bytes: out, mse, rms, delta };
+}
+
+// ── node self-test: validate the quantizer + the lattice gain ──
+if (typeof process !== "undefined" && process.argv[1] && process.argv[1].endsWith("e8-quant.mjs")) {
+  let s = 99; const nx = () => (s = (s * 1664525 + 1013904223) >>> 0) / 4294967296;
+  const gauss = () => { const u = Math.max(1e-12, nx()), v = nx(); return Math.sqrt(-2 * Math.log(u)) * Math.cos(2 * Math.PI * v); };
+  const N = 80000;
+  for (const delta of [0.5, 1.0, 2.0]) {
+    const a = new Float32Array(N), b = new Float32Array(N); for (let i = 0; i < N; i++) { const g = gauss(); a[i] = g; b[i] = g; }
+    const e8 = e8QuantizeInPlace(a, delta) / N, sc = scalarQuantizeInPlace(b, delta) / N;
+    console.log(`δ=${delta}  E8 MSE=${e8.toFixed(5)}  scalar MSE=${sc.toFixed(5)}  ratio E8/scalar=${(e8 / sc).toFixed(3)}  (theory ≈0.860 = the E₈ quantizing gain)`);
+  }
+  // sanity: a known E₈ point quantizes to itself
+  const p = new Float64Array([1, 1, 0, 0, 0, 0, 0, 0]), o = new Float64Array(8); nearestE8(p, o);
+  console.log("nearestE8([1,1,0,...]) =", Array.from(o).join(","), "(should be the same root; sum even ✓)");
+}

b/80fad96c6271e3e14f74a4ca503bef27df355f99b5a920bd7753fc98066e140f

@@ -0,0 +1,43 @@
+import * as React from "react"
+import { CircleIcon } from "lucide-react"
+import { RadioGroup as RadioGroupPrimitive } from "radix-ui"
+
+import { cn } from "@/lib/utils"
+
+function RadioGroup({
+  className,
+  ...props
+}: React.ComponentProps<typeof RadioGroupPrimitive.Root>) {
+  return (
+    <RadioGroupPrimitive.Root
+      data-slot="radio-group"
+      className={cn("grid gap-3", className)}
+      {...props}
+    />
+  )
+}
+
+function RadioGroupItem({
+  className,
+  ...props
+}: React.ComponentProps<typeof RadioGroupPrimitive.Item>) {
+  return (
+    <RadioGroupPrimitive.Item
+      data-slot="radio-group-item"
+      className={cn(
+        "aspect-square size-4 shrink-0 rounded-full border border-input text-primary shadow-xs transition-[color,box-shadow] outline-none focus-visible:border-ring focus-visible:ring-[3px] focus-visible:ring-ring/50 disabled:cursor-not-allowed disabled:opacity-50 aria-invalid:border-destructive aria-invalid:ring-destructive/20 dark:bg-input/30 dark:aria-invalid:ring-destructive/40",
+        className
+      )}
+      {...props}
+    >
+      <RadioGroupPrimitive.Indicator
+        data-slot="radio-group-indicator"
+        className="relative flex items-center justify-center"
+      >
+        <CircleIcon className="absolute top-1/2 left-1/2 size-2 -translate-x-1/2 -translate-y-1/2 fill-primary" />
+      </RadioGroupPrimitive.Indicator>
+    </RadioGroupPrimitive.Item>
+  )
+}
+
+export { RadioGroup, RadioGroupItem }

b/80fdc692e539bffcc25e337d147a9eb104da31201c311b6a5625f086a3d39eca

@@ -0,0 +1,53 @@
+// m9b-prefill.mjs — KV-cache PREFILL memoization on the REAL Q model. A long shared prefix (system
+// prompt + RAG) is prefilled ONCE and cached by classκ = H(prefixTokens ⊕ modelκ ⊕ deviceClass); a
+// repeat RESTORES the KV (forward opts.inKV) and decodes only the suffix — skipping the expensive prefill.
+// 9a proved the KV κ reproduces (same/fresh-process, CPU), so WARM output is byte-identical to COLD.
+import { readFileSync } from "node:fs";
+import crypto from "node:crypto";
+import { performance } from "node:perf_hooks";
+import { forgeGguf } from "./gguf-forge.mjs";
+import { synthesizeGraph } from "./gguf-forge-graph.mjs";
+import { forward } from "./gguf-forge-exec.mjs";
+import { sha256hex } from "../../../../holo-os/system/os/usr/lib/holo/holo-uor.mjs";
+
+const sha = (u8) => crypto.createHash("sha256").update(u8).digest("hex");
+const bytesOf = (f) => new Uint8Array(f.buffer, f.byteOffset, f.byteLength);
+const buf = new Uint8Array(readFileSync(".models/qwen2.5-0.5b-instruct-q4_k_m.gguf"));
+const f = forgeGguf(buf); const graph = synthesizeGraph(f.plan); const store = { get: (h) => f.blocks.get(h) };
+const verified = new Set();
+const load = (st, k) => { const hex = String(k).split(":").pop(); const b = st.get(hex); if (!b) throw new Error("κ?"); if (!verified.has(hex)) { if (sha256hex(b) !== hex) throw new Error("L5"); verified.add(hex); } return b; };
+const modelK = f.rootKappa; const deviceClass = "cpu-tierA-f32";   // 9c: KV-κ valid at OWN + same-device-class scope
+const tok = (i, salt = 0) => ((i * 2654435761 + salt * 40503) % 150000) >>> 0;   // deterministic valid token ids
+const classKappa = (prefix) => sha256hex(new TextEncoder().encode("kv:" + modelK + "|" + deviceClass + "|" + prefix.join(",")));
+
+// the memo: classκ(prefix) -> cached prefill KV (own/device-class scope)
+const kvStore = new Map();
+function prefillCached(prefix) {
+  const ck = classKappa(prefix);
+  if (kvStore.has(ck)) return { kv: kvStore.get(ck), hit: true, ck };
+  const kv = {}; forward(f.plan, graph, store, prefix, { load, outKV: kv }); kvStore.set(ck, kv);
+  return { kv, hit: false, ck };
+}
+const decodeLogits = (seq, inKV) => forward(f.plan, graph, store, seq, inKV ? { load, inKV } : { load });
+
+console.log(`MODEL Qwen2.5-0.5B · device-class "${deviceClass}" · modelκ ${modelK.slice(0, 12)}…`);
+console.log(`prefixLen   COLD(full prefill+decode)   WARM(restore KV, decode suffix)   speedup   output byte-identical`);
+for (const PLEN of [16, 48, 96]) {
+  const prefix = Array.from({ length: PLEN }, (_, i) => tok(i));
+  const query = Array.from({ length: 8 }, (_, i) => tok(i, 1));
+  const seq = prefix.concat(query);
+  const { kv } = prefillCached(prefix);                    // turn 1 already cached this prefix's KV
+
+  const c0 = performance.now(); const cold = decodeLogits(seq, null); const coldMs = performance.now() - c0;        // recompute everything
+  const w0 = performance.now(); const warm = decodeLogits(seq, kv);   const warmMs = performance.now() - w0;        // restore KV, decode only the 8-tok suffix
+  const identical = sha(bytesOf(cold)) === sha(bytesOf(warm));
+  console.log(`  ${String(PLEN).padStart(4)}      ${coldMs.toFixed(0).padStart(8)} ms              ${warmMs.toFixed(0).padStart(8)} ms                ${(coldMs / warmMs).toFixed(1).padStart(5)}x      ${identical ? "YES ✓" : "NO ✗"}`);
+}
+
+// null control: a UNIQUE prefix never seen → no cache → pays full prefill + the hash (memo loses)
+{
+  const uniq = Array.from({ length: 64 }, (_, i) => tok(i, 999));
+  const t0 = performance.now(); const r = prefillCached(uniq); const ms = performance.now() - t0;
+  console.log(`\n[null control] unique 128-tok prefix: cache hit=${r.hit} → paid full prefill ${ms.toFixed(0)}ms + classκ hash. Memo wins ONLY when the prefix recurs.`);
+}
+console.log(`SCOPE (9c): this KV reuse is sound at OWN + same-device-class ("${deviceClass}") — 9a proved κ reproduces there. Cross-backend/cross-device κ DIVERGES (WITNESS GEMV 4.8e-7) → recompute or 7e-quorum the OUTPUT, never share raw KV across heterogeneous devices.`);

b/8106443153817133945aa49cdf1377054560d97974e6ca62fd142e324dff39a2

@@ -0,0 +1,61 @@
+<!doctype html><html><head><meta charset=utf8><title>spec-tape-capture (init)</title>
+<style>body{font:14px/1.5 monospace;background:#0b0e14;color:#e6e9ef;padding:18px}pre{white-space:pre-wrap}#out{color:#7cffa0}</style>
+</head><body>
+<h3>Q spec-tape-capture — greedy tapes from the real 9B (WebGPU)</h3>
+<div id=log>booting…</div>
+<pre id=out></pre>
+<script type=module>
+// Captures real greedy token tapes from Qwen3.5-9B for spec-p0-eval.mjs. Uses the readback ORACLE
+// brain (step/argmax/newState/tok) exposed by loadQwen35Brain — correct greedy, a few sec/token.
+// Result is stashed on window.__tapes (JSON) and rendered; window.__progress tracks live state so a
+// driver can poll without blocking. document.title flips to DONE / ERROR at the end.
+import { loadQwen35Brain } from "./holo-qwen35-gpu-real.mjs";
+const $ = (s) => document.querySelector(s);
+const log = (m) => { $("#log").textContent = m; window.__progress = m; };
+const HOLO = new URL("../.models/qwen3.5-9b-thinking.holo", location.href).href;
+const EOS = new Set([248046, 248044]);
+const SYS = "You are Q, a concise, helpful thinking assistant.";
+const Q = new URLSearchParams(location.search);
+const MAXNEW = +(Q.get("new") || 48);
+const NCAP = +(Q.get("n") || 0);   // 0 = all served intents
+const SKIP = +(Q.get("skip") || 0);   // resume: skip the first N intents
+let PROMPTS = [
+  "The capital of France is",
+  "Write a Python function that returns the nth Fibonacci number.",
+  "Explain why the sky is blue in two sentences.",
+  "List the first five prime numbers and their sum.",
+];
+const frame = (msgs) => { let s = ""; for (const m of msgs) s += `<|im_start|>${m.role}\n${m.content}<|im_end|>\n`; return s + "<|im_start|>assistant\n"; };
+
+window.__tapes = null; window.__progress = "boot";
+try {
+  if (!navigator.gpu) throw new Error("no WebGPU (need Chrome/Edge/CEF with WebGPU)");
+  const t0 = performance.now();
+  const loaded = await loadQwen35Brain({ holoUrl: HOLO, onProgress: (m, p) => log(`load: ${m} ${p ? Math.round(p * 100) + "%" : ""}`) });
+  window.__brain = loaded;
+  const R = loaded.resident || loaded;   // resident engine: step() returns the argmax token id directly, ~1 readback/token
+  const { tok, step, newState, D } = R;
+  try { const r = await fetch(new URL("../spec-intents.json", location.href)); if (r.ok) { const arr = await r.json(); if (Array.isArray(arr) && arr.length) { const s = arr.slice(SKIP); PROMPTS = NCAP ? s.slice(0, NCAP) : s; } } } catch (e) {}
+  log(`brain ready (${D.n_layer} layers, vocab ${D.vocab}, resident) in ${((performance.now() - t0) / 1000).toFixed(0)}s — capturing ${PROMPTS.length} intents × ${MAXNEW}…`);
+  let tapes = [];
+  try { const r0 = await fetch(new URL("../spec-tapes-live.json?t=" + Date.now(), location.href)); if (r0.ok) { const d0 = await r0.json(); if (d0 && Array.isArray(d0.tapes)) tapes = d0.tapes; } } catch (e) {}
+  const startIdx = tapes.length;   // RESUME: continue from what's already on disk (stable PROMPTS order)
+  log(`resuming from ${startIdx} existing tapes → capturing to ${PROMPTS.length}`);
+  for (let pi = startIdx; pi < PROMPTS.length; pi++) {
+    const text = PROMPTS[pi];
+    const prompt = tok.encode(frame([{ role: "system", content: SYS }, { role: "user", content: text }]), { addSpecial: false, parseSpecial: true });
+    const state = newState(); let next, pos = 0;
+    for (; pos < prompt.length; pos++) { next = await step(prompt[pos], pos, state); if (pos % 8 === 0) log(`tape ${pi + 1}/${PROMPTS.length}: prefill ${pos + 1}/${prompt.length}`); }
+    const greedy = [];
+    for (let n = 0; n < MAXNEW; n++) { if (EOS.has(next)) break; greedy.push(next); log(`tape ${pi + 1}/${PROMPTS.length}: gen ${n + 1}/${MAXNEW} (${greedy.length} tok)`); next = await step(next, pos++, state); }
+    tapes.push({ prompt, greedy, text });
+    window.__tapes = { model: "qwen3.5-9b-thinking", new: MAXNEW, tapes };   // publish incrementally
+    $("#out").textContent = tapes.length + " tapes captured";
+    try { await fetch(new URL("../spec-tapes-live.json", location.href), { method: "POST", body: JSON.stringify(window.__tapes) }); } catch (e) {}   // persist to disk (survives tab death)
+  }
+  log(`DONE — ${tapes.length} tapes, ${tapes.reduce((a, t) => a + t.greedy.length, 0)} greedy tokens`);
+  document.title = "DONE";
+} catch (e) {
+  log("ERROR: " + e.message); window.__error = e.message; document.title = "ERROR"; throw e;
+}
+</script></body></html>

b/81663f74ed767954e39c49f77b49a2a1989544a53fb5d9a45a7d58b00054feaf

@@ -0,0 +1,71 @@
+import React from "react"
+
+import { cn } from "@/lib/utils"
+
+export interface OrbitingCirclesProps extends React.HTMLAttributes<HTMLDivElement> {
+  className?: string
+  children?: React.ReactNode
+  reverse?: boolean
+  duration?: number
+  delay?: number
+  radius?: number
+  path?: boolean
+  iconSize?: number
+  speed?: number
+}
+
+export function OrbitingCircles({
+  className,
+  children,
+  reverse,
+  duration = 20,
+  radius = 160,
+  path = true,
+  iconSize = 30,
+  speed = 1,
+  ...props
+}: OrbitingCirclesProps) {
+  const calculatedDuration = duration / speed
+  return (
+    <>
+      {path && (
+        <svg
+          xmlns="http://www.w3.org/2000/svg"
+          version="1.1"
+          className="pointer-events-none absolute inset-0 size-full"
+        >
+          <circle
+            className="stroke-black/10 stroke-1 dark:stroke-white/10"
+            cx="50%"
+            cy="50%"
+            r={radius}
+            fill="none"
+          />
+        </svg>
+      )}
+      {React.Children.map(children, (child, index) => {
+        const angle = (360 / React.Children.count(children)) * index
+        return (
+          <div
+            style={
+              {
+                "--duration": calculatedDuration,
+                "--radius": radius,
+                "--angle": angle,
+                "--icon-size": `${iconSize}px`,
+              } as React.CSSProperties
+            }
+            className={cn(
+              `animate-orbit absolute flex size-(--icon-size) transform-gpu items-center justify-center rounded-full`,
+              { "[animation-direction:reverse]": reverse },
+              className
+            )}
+            {...props}
+          >
+            {child}
+          </div>
+        )
+      })}
+    </>
+  )
+}

b/816d69918ec74ddbfee25527da0b25148f41abac0fe0c4183811a8c3d4659b3a

@@ -0,0 +1,56 @@
+// TurboQuant / PolarQuant fidelity witness — both directions, BIT-FOR-BIT vs ggml's
+// real to_float / quantize_chunk (types 42-49) in the llama.cpp fork.
+//   • dequant: tqDequant vs iq-ref.exe to_float       (all 8 types)
+//   • quant:   tqQuant   vs quant-ref.exe quantize     (all 8: PQ Stage-1 + TBQ Stage-1+QJL)
+// PQ = PolarQuant (Stage 1: rotation-graph-level + Lloyd-Max codebook + bit-pack).
+// TBQ = TurboQuant (+ QJL 1-bit residual sketch). Per-block kernels exclude the
+// Hadamard rotation (graph-level), exactly like ggml's type_traits to_float.
+import { execFileSync } from "node:child_process";
+import { existsSync } from "node:fs";
+import assert from "node:assert";
+import { tqDequant, tqQuant, TQ_TYPES } from "./gguf-forge-turboquant.mjs";
+
+const QV = "C:/Users/pavel/Desktop/qvac-fabric-llm.cpp-master/qvac-fabric-llm.cpp-master";
+const IQREF = `${QV}/iq-ref.exe`, QREF = `${QV}/quant-ref.exe`;
+const MINGW = "C:/Users/pavel/AppData/Local/Microsoft/WinGet/Packages/BrechtSanders.WinLibs.POSIX.UCRT_Microsoft.Winget.Source_8wekyb3d8bbwe/mingw64/bin";
+const ENV = { env: { ...process.env, PATH: `${MINGW};${process.env.PATH}` }, maxBuffer: 1 << 26 };
+
+function mulberry32(a) { return () => { a |= 0; a = (a + 0x6d2b79f5) | 0; let t = Math.imul(a ^ (a >>> 15), 1 | a); t = (t + Math.imul(t ^ (t >>> 7), 61 | t)) ^ t; return ((t ^ (t >>> 14)) >>> 0) / 4294967296; }; }
+const f32bits = (f) => { const b = new ArrayBuffer(4); new Float32Array(b)[0] = f; return new Uint32Array(b)[0]; };
+const hexf = (arr) => Array.from(arr, (v) => f32bits(v).toString(16).padStart(8, "0")).join(" ");
+
+function refDequant(typeId, n, raw) {
+  const out = execFileSync(IQREF, [String(typeId), String(n), Buffer.from(raw).toString("hex")], ENV).toString().trim();
+  return out.split(/\s+/).map((h) => parseInt(h, 16) >>> 0);
+}
+function refQuant(typeId, n, x) {
+  const out = execFileSync(QREF, [String(typeId), String(n)], { ...ENV, input: hexf(x) + "\n" }).toString().trim();
+  return out.split(/\s+/).map((h) => parseInt(h, 16));
+}
+
+let pass = 0, fail = 0;
+const ok = (c, m) => { if (c) { console.log(`  ok  ${m}`); pass++; } else { console.log(`  XX  ${m}`); fail++; } };
+assert(existsSync(IQREF), "iq-ref.exe missing"); assert(existsSync(QREF), "quant-ref.exe missing");
+
+// Per type: forge a block from random data with OUR quantizer, dequant both via ggml
+// and ours from the SAME bytes, and separately compare OUR quant bytes to ggml's.
+for (const [id, t] of Object.entries(TQ_TYPES)) {
+  const typeId = Number(id), nb = 3, n = t.d * nb;
+  // varied-magnitude random KV-like vector
+  const rnd = mulberry32(0x5151 + typeId), x = new Float32Array(n);
+  for (let i = 0; i < n; i++) x[i] = (rnd() * 2 - 1) * (0.5 + (i % 5) * 0.4);
+
+  // QUANT: our bytes vs ggml bytes (Stage-1 for PQ; Stage-1 + QJL for TBQ)
+  const jsq = tqQuant(typeId, x, n), refq = refQuant(typeId, n, x);
+  assert.equal(jsq.length, t.total * nb, `${t.name} quant length`);
+  let qbad = -1; for (let i = 0; i < jsq.length; i++) if (jsq[i] !== refq[i]) { qbad = i; break; }
+  ok(qbad < 0, `${t.name.padEnd(9)} quant BIT-EXACT vs ggml (${jsq.length} B)${qbad < 0 ? "" : ` first@${qbad} js=${jsq[qbad]} ref=${refq[qbad]}`}`);
+
+  // DEQUANT: feed ggml's own block bytes to our dequant → must equal ggml to_float
+  const ref = refDequant(typeId, n, Uint8Array.from(refq)), js = tqDequant(typeId, Uint8Array.from(refq), n);
+  let dbad = -1, fin = 0; for (let i = 0; i < n; i++) { const rf = new Float32Array(new Uint32Array([ref[i]]).buffer)[0]; if (!Number.isFinite(rf)) continue; fin++; if (f32bits(js[i]) !== ref[i]) { dbad = i; break; } }
+  ok(dbad < 0, `${t.name.padEnd(9)} dequant BIT-EXACT vs ggml to_float (${fin}/${n})${dbad < 0 ? "" : ` first@${dbad}`}`);
+}
+
+console.log(`\n${pass} passed, ${fail} failed`);
+process.exit(fail ? 1 : 0);

b/817514b0589eb6db36a802fe5cfeb2bc3786035885ffd023fb504d00c6a292eb

@@ -0,0 +1,61 @@
+// holo-whisper-frontend.mjs — browser-local Whisper front-end (mel + specials + detok).
+// Verbatim copies of the pure functions from ../gguf-forge-whisper.mjs (the CPU oracle that is
+// byte-exact to whisper-cli). Duplicated ONLY because the oracle module transitively imports
+// holo-uor.mjs, which lives outside the forge static-server root. These three functions use NO
+// external deps, so the copies are exact — keep them in lockstep with the oracle if it changes.
+
+// log-mel spectrogram: n_fft=400, hop=160; |DFT|² over 201 bins; mel filterbank; log10 + the
+// whisper normalize (max−8 floor, +4 /4). Returns { mel:[nMel*nFrames], nFrames, nMel }.
+export function logMelSpectrogram(samples, filters, { nMel = 80, nFft = 400, hop = 160, nBins = 201, nSamples = 480000 } = {}) {
+  const x = new Float32Array(nSamples + nFft); x.set(samples.subarray(0, Math.min(samples.length, nSamples)));
+  const nFrames = (nSamples / hop) | 0;
+  const hann = new Float32Array(nFft); for (let i = 0; i < nFft; i++) hann[i] = 0.5 - 0.5 * Math.cos((2 * Math.PI * i) / nFft);
+  const cosT = new Float32Array(nBins * nFft), sinT = new Float32Array(nBins * nFft);
+  for (let b = 0; b < nBins; b++) for (let n = 0; n < nFft; n++) { const a = (-2 * Math.PI * b * n) / nFft; cosT[b * nFft + n] = Math.cos(a); sinT[b * nFft + n] = Math.sin(a); }
+  const mel = new Float32Array(nMel * nFrames), win = new Float32Array(nFft), pw = new Float64Array(nBins);
+  let mmax = -Infinity;
+  for (let f = 0; f < nFrames; f++) {
+    const off = f * hop;
+    for (let n = 0; n < nFft; n++) win[n] = hann[n] * x[off + n];
+    // power spectrum |DFT|² computed ONCE per frame (was recomputed inside the per-mel loop —
+    // an 80× redundancy). Same arithmetic + accumulation order ⇒ bit-identical mel, ~80× faster.
+    for (let b = 0; b < nBins; b++) { let re = 0.0, im = 0.0; const tb = b * nFft; for (let n = 0; n < nFft; n++) { re += win[n] * cosT[tb + n]; im += win[n] * sinT[tb + n]; } pw[b] = re * re + im * im; }
+    for (let k = 0; k < nMel; k++) {
+      let s = 0.0; const fb = k * nBins;
+      for (let b = 0; b < nBins; b++) s += filters[fb + b] * pw[b];
+      let lv = Math.log10(Math.max(s, 1e-10));
+      mel[k * nFrames + f] = lv; if (lv > mmax) mmax = lv;
+    }
+  }
+  const floor = mmax - 8.0;
+  for (let i = 0; i < mel.length; i++) mel[i] = (Math.max(mel[i], floor) + 4.0) / 4.0;
+  return { mel, nFrames, nMel };
+}
+
+// Whisper special tokens — derived from n_vocab so the same code serves tiny…large-v3.
+export function whisperSpecials(nVocab) {
+  const TS_BEGIN = nVocab - 1501;
+  return { EOT: 50257, SOT: 50258, LANG_EN: 50259, TRANSLATE: TS_BEGIN - 6, TRANSCRIBE: TS_BEGIN - 5, NO_TIMESTAMPS: TS_BEGIN - 1, TS_BEGIN };
+}
+
+const WHISPER_MAGIC = 0x67676d6c, N_HPARAM = 11;
+// parse just the vocab from the legacy-ggml header (magic + 11 hparams + mel filterbank + vocab).
+function parseVocab(bytes) {
+  const dv = new DataView(bytes.buffer, bytes.byteOffset, bytes.byteLength); let o = 0;
+  const i32 = () => { const v = dv.getInt32(o, true); o += 4; return v; };
+  if (dv.getUint32(o, true) !== WHISPER_MAGIC) throw new Error("whisper: bad magic"); o += 4;
+  for (let i = 0; i < N_HPARAM; i++) i32();
+  const n_mel = i32(), n_fft = i32(); o += n_mel * n_fft * 4;   // skip mel filterbank
+  const nVocab = i32(), tokens = [];
+  for (let i = 0; i < nVocab; i++) { const len = i32(); tokens.push(bytes.subarray(o, o + len)); o += len; }
+  return tokens;
+}
+
+// whisper.cpp stores tokens as RAW UTF-8 text (literal spaces) — no GPT-2 byte decoder.
+export function whisperDetok(headerBytes, ids) {
+  const tokens = parseVocab(headerBytes);
+  let total = 0; for (const id of ids) if (id < tokens.length) total += tokens[id].length;
+  const out = new Uint8Array(total); let p = 0;
+  for (const id of ids) if (id < tokens.length) { out.set(tokens[id], p); p += tokens[id].length; }
+  return new TextDecoder().decode(out);
+}

b/818d57be07161f271298770ffe37855d76d52efc0525fe1f56371cc35cc4474d

@@ -0,0 +1,63 @@
+// quant-floor-eval.mjs — C: make "4-bit is the floor for POST-HOC quant" reproducible instead of asserted.
+// It measures the per-bit-width reconstruction error of naive symmetric per-block quantization (GGUF-style
+// 32-wide blocks, absmax scale) on a realistic weight distribution, and shows the error CLIFF below 4 bits.
+// This is a labeled RECONSTRUCTION PROXY, not an end-task eval — it isolates the quantizer's own damage. The
+// real production path (compile2bit.mjs) confirms the mechanism: sub-4-bit needs full QuIP#-grade incoherence +
+// a per-layer Hessian, and only a PROXY embedding Hessian exists here (no GPU calibration box). The two regimes:
+//   • post-hoc quant of a normal fp model below 4-bit → collapses (this script) → floor = 4-bit.
+//   • NATIVELY-TERNARY BitNet → 2-bit runs with bit-exact parity (committed: gguf-forge-tq2 / -bitnet tests).
+// Pure Node, deterministic (seeded), no model download. Every number is computed in this run.
+
+let pass = 0, fail = 0;
+const ok = (c, m) => { console.log((c ? "  ok  " : "  XX  ") + m); c ? pass++ : fail++; };
+
+// deterministic Gaussian weights (Box–Muller over a seeded LCG) — the standard proxy for transformer weights.
+const lcg = (seed) => { let s = (seed >>> 0) || 1; return () => { s = (Math.imul(s, 1103515245) + 12345) >>> 0; return s / 4294967296; }; };
+const rnd = lcg(12345);
+const gauss = () => { let u = 0, v = 0; while (u === 0) u = rnd(); while (v === 0) v = rnd(); return Math.sqrt(-2 * Math.log(u)) * Math.cos(2 * Math.PI * v); };
+const N = 1 << 20, BLK = 32;                                   // 1M weights, 32-wide quant blocks
+const W = new Float64Array(N); for (let i = 0; i < N; i++) W[i] = gauss() * 0.02;   // ~N(0, 0.02) like real weights
+
+// symmetric per-block round-trip at `bits`; returns reconstruction RMSE / signal-RMS = relative error.
+function roundTripRelErr(bits) {
+  const qmax = (1 << (bits - 1)) - 1;                          // signed: ±qmax (e.g. 4-bit → ±7, 2-bit → ±1)
+  let se = 0, sig = 0;
+  for (let b = 0; b < N; b += BLK) {
+    let amax = 0; for (let i = 0; i < BLK; i++) { const a = Math.abs(W[b + i]); if (a > amax) amax = a; }
+    const scale = amax > 0 ? amax / qmax : 1;
+    for (let i = 0; i < BLK; i++) {
+      const w = W[b + i];
+      const q = Math.max(-qmax, Math.min(qmax, Math.round(w / scale)));
+      const r = q * scale, e = w - r;
+      se += e * e; sig += w * w;
+    }
+  }
+  return Math.sqrt(se / N) / Math.sqrt(sig / N);
+}
+
+console.log("post-hoc symmetric per-block quant — reconstruction error vs fp (lower = better):\n");
+console.log("  bits   levels   relative-error    SNR(dB)");
+const rel = {};
+for (const bits of [8, 6, 5, 4, 3, 2]) {
+  const e = roundTripRelErr(bits); rel[bits] = e;
+  const snr = -20 * Math.log10(e);
+  console.log(`   ${bits}     ±${String((1 << (bits - 1)) - 1).padStart(3)}     ${(e * 100).toFixed(2).padStart(7)} %     ${snr.toFixed(1).padStart(6)}`);
+}
+
+console.log("");
+// monotonic degradation + a sharp drop below 4-bit is the whole point.
+ok(rel[8] < rel[6] && rel[6] < rel[5] && rel[5] < rel[4] && rel[4] < rel[3] && rel[3] < rel[2], "error increases monotonically as bits fall");
+ok(rel[4] < 0.12, `naive 4-bit error is moderate (${(rel[4] * 100).toFixed(2)} %) — the lowest usable tier; real GGUF k-quant (Q4_K superblocks) does better still`);
+ok(rel[3] > rel[4] * 1.7, `3-bit error jumps vs 4-bit (${(rel[3] * 100).toFixed(2)} % vs ${(rel[4] * 100).toFixed(2)} %)`);
+ok(rel[2] > 0.25, `2-bit error is severe (${(rel[2] * 100).toFixed(2)} %) — naive post-hoc 2-bit collapses`);
+ok(rel[2] / rel[4] > 5, `2-bit is >5× worse than 4-bit (${(rel[2] / rel[4]).toFixed(1)}×) — the floor is 4-bit for post-hoc quant`);
+
+console.log(`\nREGIME LABELS (honest):`);
+console.log(`  • This proxy isolates the quantizer's own error. Real GGUF k-quants (Q4_K…) add codebooks/superblocks,`);
+console.log(`    so 4-bit stays usable — but sub-4-bit still needs QuIP#-grade incoherence + a per-layer Hessian to`);
+console.log(`    survive; compile2bit.mjs ships only a PROXY embedding Hessian (no GPU calibration box) → research-grade.`);
+console.log(`  • EXCEPTION — natively-ternary BitNet: its 2-bit is bit-exact (committed: gguf-forge-tq2 / -bitnet tests).`);
+console.log(`    "sub-4-bit fails" is therefore POST-HOC-quant-specific, not a blanket claim.`);
+
+console.log(`\n${pass}/${pass + fail}${fail ? " FAIL" : " — WITNESSED: post-hoc quant below 4 bits collapses (measured), so 4-bit is the realistic floor for a normal fp model; natively-ternary BitNet 2-bit is the labeled exception, proven elsewhere by parity tests."}`);
+process.exit(fail ? 1 : 0);