kappa mirror: ui + q closures (2357 objects, blake3-addressed) - U3 (part 2)

b/1c58976bfa08636c68ba1e0feeb51187bfbe8407a85fcbf2faa0e65cd5a17c2e

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b/1c59c83fc23c4067fd3a0235ba74a102c29ac97dc9e94a8e968fc00689672540

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-// core/skills.js — SELF-EVOLVING AGENT SKILLS, 100% agentskills.io-compatible, enhanced by the UOR
-// substrate. A skill is a folder with SKILL.md (name + description frontmatter + instructions) —
-// the open Anthropic/agentskills.io format, portable to any skills-compatible agent. The Hermes
-// idea (the agent autonomously CREATES and IMPROVES skills from experience) is realized as the
-// agent's own tools. The substrate enhancement: every skill version is content-addressed (κ) and
-// chained — a tamper-proof PROVENANCE of how the skill evolved (Holo Prov). Skills live in OPFS
-// "/skills/<name>/SKILL.md"; the chain log in "/skills/<name>/.prov" (one κ per version).
-//
-// Progressive disclosure (the spec): DISCOVERY (names+descriptions injected at session start) →
-// ACTIVATION (read_skill loads full SKILL.md) → EXECUTION (the agent follows it, using file tools).
-
-import { skillAsHowTo, verifySemantic } from "./semantic.js";
-
-const te = new TextEncoder(), td = new TextDecoder();
-const sha = async (s) => "did:holo:sha256:" + [...new Uint8Array(await crypto.subtle.digest("SHA-256", te.encode(s)))].map((b) => b.toString(16).padStart(2, "0")).join("");
-const slug = (s) => String(s || "").toLowerCase().replace(/[^a-z0-9]+/g, "-").replace(/^-+|-+$/g, "").slice(0, 48) || "skill";
-
-async function skillsRoot() { const d = await navigator.storage.getDirectory(); const a = await d.getDirectoryHandle("skills", { create: true }); return a; }
-async function skillDir(name, create = false) { return (await skillsRoot()).getDirectoryHandle(slug(name), { create }); }
-async function readText(dir, file) { const fh = await dir.getFileHandle(file); return td.decode(await (await fh.getFile()).arrayBuffer()); }
-async function writeText(dir, file, text) { const fh = await dir.getFileHandle(file, { create: true }); const w = await fh.createWritable(); await w.write(te.encode(text)); await w.close(); }
-
-// SKILL.md = YAML-ish frontmatter (name, description) + markdown instructions (verbatim spec form).
-function buildSkillMd({ name, description, instructions }) {
-  return `---\nname: ${name}\ndescription: ${description}\n---\n\n${instructions || ""}\n`;
-}
-function parseSkillMd(text) {
-  const m = text.match(/^---\s*\n([\s\S]*?)\n---\s*\n?([\s\S]*)$/);
-  const meta = {}; if (m) for (const line of m[1].split("\n")) { const i = line.indexOf(":"); if (i > 0) meta[line.slice(0, i).trim()] = line.slice(i + 1).trim(); }
-  return { name: meta.name || "", description: meta.description || "", instructions: m ? m[2].trim() : text.trim() };
-}
-
-export async function listSkills() {
-  const out = [];
-  try { const root = await skillsRoot();
-    for await (const [n, h] of root.entries()) { if (h.kind !== "directory") continue;
-      try { const sk = parseSkillMd(await readText(h, "SKILL.md")); out.push({ slug: n, name: sk.name || n, description: sk.description }); } catch {} } }
-  catch {}
-  return out.sort((a, b) => a.name.localeCompare(b.name));
-}
-
-export async function readSkill(name) { const dir = await skillDir(name); return parseSkillMd(await readText(dir, "SKILL.md")); }
-
-// save = create OR improve (self-evolution). Appends a κ to the provenance chain — every version
-// sealed + chained to its parent, so the skill's evolution is verifiable (Holo Prov shape).
-export async function saveSkill({ name, description, instructions }) {
-  const dir = await skillDir(name, true);
-  const md = buildSkillMd({ name, description, instructions });
-  const kappa = await sha(md);
-  let prov = []; try { prov = JSON.parse(await readText(dir, ".prov")); } catch {}
-  const parent = prov.length ? prov[prov.length - 1].kappa : null;
-  prov.push({ v: prov.length + 1, kappa, parent, descKappa: await sha(description || "") });
-  await writeText(dir, "SKILL.md", md);
-  await writeText(dir, ".prov", JSON.stringify(prov, null, 1));
-  // semantic skin (C2): emit the W3C linked-data view — schema:HowTo + PROV-O revision chain.
-  const ld = skillAsHowTo({ name, description, instructions, kappa, prov });
-  await writeText(dir, "skill.jsonld", JSON.stringify(ld, null, 1));
-  return { slug: slug(name), kappa, version: prov.length, parent, semantic: verifySemantic(ld).ok };
-}
-
-// the W3C linked-data view of a skill (schema:HowTo + PROV-O), for export / validation / agents.
-export async function skillLinkedData(name) { try { return JSON.parse(await readText(await skillDir(name), "skill.jsonld")); } catch { return null; } }
-
-export async function skillProvenance(name) { try { return JSON.parse(await readText(await skillDir(name), ".prov")); } catch { return []; } }
-
-// DISCOVERY block (progressive disclosure stage 1): names + descriptions only — small footprint.
-export async function skillsDiscoveryPrompt() {
-  const sk = await listSkills();
-  if (!sk.length) return "";
-  return "You have these learned SKILLS available (each a verifiable, content-addressed capability you built from experience). " +
-    "When a task matches a skill's description, call read_skill to load its full instructions, then follow them. " +
-    "When you complete a non-trivial task worth reusing, call save_skill to capture it (or improve an existing one):\n" +
-    sk.map((s) => `- ${s.name}: ${s.description}`).join("\n");
-}
-
-// the agent's skill tools (Hermes self-evolution: the agent creates/improves/uses skills itself)
-export function skillTools() {
-  return [
-    {
-      def: { name: "list_skills", description: "List the learned skills available (name + description).", inputSchema: { type: "object", properties: {}, required: [] } },
-      serverName: "skills", call: async () => { const s = await listSkills(); return { text: s.length ? s.map((x) => `${x.name}: ${x.description}`).join("\n") : "(no skills yet)", isError: false }; },
-    },
-    {
-      def: { name: "read_skill", description: "Load a skill's full instructions by name, to follow them for the current task.", inputSchema: { type: "object", properties: { name: { type: "string" } }, required: ["name"] } },
-      serverName: "skills", call: async ({ name }) => { try { const s = await readSkill(name); return { text: `# ${s.name}\n${s.description}\n\n${s.instructions}`, isError: false }; } catch (e) { return { text: "no such skill: " + name, isError: true }; } },
-    },
-    {
-      def: { name: "save_skill", description: "Capture a reusable skill from what you just did (or improve an existing one). name: short; description: one line of WHEN to use it; instructions: the step-by-step procedure. Each save is sealed + chained (verifiable provenance).", inputSchema: { type: "object", properties: { name: { type: "string" }, description: { type: "string" }, instructions: { type: "string" } }, required: ["name", "description", "instructions"] } },
-      serverName: "skills", call: async ({ name, description, instructions }) => { try { const r = await saveSkill({ name, description, instructions }); return { text: `skill "${name}" saved (v${r.version}, ${r.kappa.slice(0, 28)}…${r.parent ? `, evolved from ${r.parent.slice(0, 20)}…` : ", first version"})`, isError: false }; } catch (e) { return { text: "save error: " + (e.message || e), isError: true }; } },
-    },
-  ];
-}
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-import{jsx as o}from"react/jsx-runtime";function t(){return o("h2",{className:"scroll-m-20 border-b pb-2 text-3xl font-semibold tracking-tight first:mt-0",children:"The People of the Kingdom"})}export{t as default};
+version https://git-lfs.github.com/spec/v1
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b/1c75f20c416b6d150f7e753b8ab04612dc6104da2a597bfd7cd1d4f144feb3a5

@@ -1,46 +1,3 @@
-import {
-  IconBrandJavascript,
-  IconCopy,
-  IconCornerDownLeft,
-  IconRefresh,
-} from "@tabler/icons-react"
-
-import {
-  InputGroup,
-  InputGroupAddon,
-  InputGroupButton,
-  InputGroupText,
-  InputGroupTextarea,
-} from "@/registry/new-york-v4/ui/input-group"
-
-export default function InputGroupTextareaExample() {
-  return (
-    <div className="grid w-full max-w-md gap-4">
-      <InputGroup>
-        <InputGroupTextarea
-          id="textarea-code-32"
-          placeholder="console.log('Hello, world!');"
-          className="min-h-[200px]"
-        />
-        <InputGroupAddon align="block-end" className="border-t">
-          <InputGroupText>Line 1, Column 1</InputGroupText>
-          <InputGroupButton size="sm" className="ml-auto" variant="default">
-            Run <IconCornerDownLeft />
-          </InputGroupButton>
-        </InputGroupAddon>
-        <InputGroupAddon align="block-start" className="border-b">
-          <InputGroupText className="font-mono font-medium">
-            <IconBrandJavascript />
-            script.js
-          </InputGroupText>
-          <InputGroupButton className="ml-auto" size="icon-xs">
-            <IconRefresh />
-          </InputGroupButton>
-          <InputGroupButton variant="ghost" size="icon-xs">
-            <IconCopy />
-          </InputGroupButton>
-        </InputGroupAddon>
-      </InputGroup>
-    </div>
-  )
-}
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-#!/usr/bin/env node
-// gguf-forge-qwen35.test.mjs — prove the qwen35 HYBRID layer assembly (gguf-forge-qwen35.mjs): the schedule,
-// the dimension decode, the full gated-DeltaNet linear-layer forward (conv + projections + kernel + gated
-// norm + out), its causality, that CHUNKED decode is BIT-IDENTICAL to a one-shot prefill (so streaming the
-// prompt token-by-token == processing it whole), that the layer state is a κ-object (checkpoint→κ→resume),
-// and — the real test of the dimension decode — that the layer runs on the ACTUAL dequantized blk.0 weights
-// from the forged .holo and produces finite, sane output.
-//
-// SCOPE (honest): proves assembly, dimensions, internal consistency. NUMERICAL parity vs the llama.cpp
-// quantized build, and confirming the HF head-expansion order, is a separate gate (S4.7) needing reference
-// activations — not claimed here. (The gated-delta recurrence itself is proven in gguf-forge-gated-delta.test.)
-//
-// Usage: node holo-apps/apps/q/forge/gguf-forge-qwen35.test.mjs
-
-import { openSync, readSync, closeSync, writeFileSync } from "node:fs";
-import { fileURLToPath } from "node:url";
-import { dirname, join } from "node:path";
-import { qwen35Schedule, qwen35Dims, qwen35LinearLayer, newLayerState, layerStateBytes, layerStateKappa } from "./gguf-forge-qwen35.mjs";
-import { openHoloStream } from "./holo-archive.mjs";
-import { parseGgufHeader } from "../qvac-ingest.mjs";
-import { dequantizeExact } from "./gguf-forge-dequant.mjs";
-
-const here = dirname(fileURLToPath(import.meta.url));
-let seed = 99173; const rnd = () => { seed = (seed * 1103515245 + 12345) & 0x7fffffff; return seed / 0x7fffffff * 2 - 1; };
-const arr = (n, s = 1) => { const a = new Float32Array(n); for (let i = 0; i < n; i++) a[i] = rnd() * s; return a; };
-const finite = (a) => a.every((x) => Number.isFinite(x));
-const close = (a, b, eps = 1e-4) => a.length === b.length && a.every((v, i) => Math.abs(v - b[i]) <= eps * (1 + Math.abs(b[i])));
-const checks = {};
-
-// small synthetic dims that exercise head-group expansion (group = 2)
-const D = { d_model: 8, value_dim: 16, head_k: 4, head_v: 4, num_k_heads: 2, num_v_heads: 4, key_dim: 8, conv_dim: 32, conv_k: 4, eps: 1e-6, n_layer: 32, interval: 4 };
-const synthW = () => ({
-  attn_norm: arr(D.d_model).map((x) => 1 + 0.1 * x), attn_qkv: arr(D.d_model * D.conv_dim, 0.3), attn_gate: arr(D.d_model * D.value_dim, 0.3),
-  ssm_alpha: arr(D.d_model * D.num_v_heads, 0.3), ssm_beta: arr(D.d_model * D.num_v_heads, 0.3), ssm_a: arr(D.num_v_heads).map((x) => x * 0.5),
-  ssm_dt: arr(D.num_v_heads), ssm_conv1d: arr(D.conv_k * D.conv_dim, 0.3), ssm_norm: arr(D.head_v).map((x) => 1 + 0.1 * x), ssm_out: arr(D.value_dim * D.d_model, 0.3),
-});
-const W = synthW();
-const mkSeq = (T) => Array.from({ length: T }, () => arr(D.d_model));
-
-// 1 · schedule
-{
-  const s = qwen35Schedule(32, 4);
-  const attn = s.map((v, i) => (v === "attn" ? i : -1)).filter((i) => i >= 0);
-  checks.scheduleCorrect = s.length === 32 && s.filter((v) => v === "linear").length === 24 && JSON.stringify(attn) === JSON.stringify([3, 7, 11, 15, 19, 23, 27, 31]);
-}
-
-// 2 · dims decode from real meta (loaded below in §7); placeholder set true, verified there
-// 3 · synthetic forward — finite, right shape
-{
-  const T = 5, st = newLayerState(D), r = qwen35LinearLayer(W, D, mkSeq(T), st);
-  checks.synthForwardShape = r.ySeq.length === T && r.ySeq.every((y) => y.length === D.d_model && finite(y));
-}
-// 4 · causality — future token's x doesn't change an earlier output
-{
-  const T = 6, x = mkSeq(T), tProbe = 2, tFut = 4;
-  const a = qwen35LinearLayer(W, D, x, newLayerState(D)).ySeq;
-  const x2 = x.map((v, i) => (i === tFut ? v.map((z) => z + 5) : v));
-  const b = qwen35LinearLayer(W, D, x2, newLayerState(D)).ySeq;
-  checks.layerCausal = close(a[tProbe], b[tProbe]) && !close(a[tFut + 1], b[tFut + 1]);
-}
-// 5 · chunked == prefill (streaming a prompt token-by-token equals processing it whole)
-{
-  const T = 9, m = 4, x = mkSeq(T);
-  const full = qwen35LinearLayer(W, D, x, newLayerState(D)).ySeq;
-  const r1 = qwen35LinearLayer(W, D, x.slice(0, m), newLayerState(D));
-  const r2 = qwen35LinearLayer(W, D, x.slice(m), r1.state);
-  const chunked = [...r1.ySeq, ...r2.ySeq];
-  checks.chunkedEqualsPrefill = chunked.length === T && chunked.every((y, i) => close(y, full[i]));
-}
-// 6 · layer-state κ round-trip — checkpoint {S,convTail} → bytes → κ → resume bit-exact
-{
-  const T = 9, m = 4, x = mkSeq(T);
-  const full = qwen35LinearLayer(W, D, x, newLayerState(D)).ySeq;
-  const r1 = qwen35LinearLayer(W, D, x.slice(0, m), newLayerState(D));
-  const bytes = layerStateBytes(r1.state), k1 = layerStateKappa(r1.state);
-  const f = new Float32Array(bytes.buffer.slice(0)), Slen = D.num_v_heads * D.head_k * D.head_v;
-  const st2 = { S: f.slice(0, Slen), convTail: f.slice(Slen) }, k2 = layerStateKappa(st2);
-  const r2 = qwen35LinearLayer(W, D, x.slice(m), st2);
-  checks.layerStateKappaRoundTrip = k1 === k2 && [...r1.ySeq, ...r2.ySeq].every((y, i) => close(y, full[i]));
-}
-
-// 7 · REAL weights — load blk.0 from the forged .holo, dequant, run; proves the dimension decode composes
-{
-  const P = join(here, ".models/qwen3.5-9b-thinking.holo");
-  const fd = openSync(P, "r");
-  const rr = async (o, l) => { const b = Buffer.alloc(l); let g = 0; while (g < l) { const r = readSync(fd, b, g, l - g, o + g); if (!r) break; g += r; } return new Uint8Array(b.buffer, b.byteOffset, g); };
-  const h = await openHoloStream(rr);
-  const info = parseGgufHeader(h.headerBytes);                      // tensor dims + types
-  const meta = info.meta, byName = new Map(info.tensors.map((t) => [t.name, t]));
-  const kByName = new Map(h.order.map((o) => [o.name, o.kappa]));
-  const RD = qwen35Dims(meta);
-  checks.dimsCorrect = RD.d_model === 4096 && RD.value_dim === 4096 && RD.head_k === 128 && RD.num_k_heads === 16 && RD.num_v_heads === 32 && RD.key_dim === 2048 && RD.conv_dim === 8192 && RD.conv_k === 4 && RD.n_layer === 32 && RD.interval === 4;
-
-  const load = async (suffix) => { const t = byName.get("blk.0." + suffix); const bytes = await h.getBody(String(kByName.get("blk.0." + suffix)).split(":").pop()); const els = t.dims.reduce((a, b) => a * b, 1); return dequantizeExact(t.ggmlType, bytes, els); };
-  const RW = { attn_norm: await load("attn_norm.weight"), attn_qkv: await load("attn_qkv.weight"), attn_gate: await load("attn_gate.weight"), ssm_alpha: await load("ssm_alpha.weight"), ssm_beta: await load("ssm_beta.weight"), ssm_a: await load("ssm_a"), ssm_dt: await load("ssm_dt.bias"), ssm_conv1d: await load("ssm_conv1d.weight"), ssm_norm: await load("ssm_norm.weight"), ssm_out: await load("ssm_out.weight") };
-  closeSync(fd);
-
-  const xSeq = [arr(RD.d_model, 0.02), arr(RD.d_model, 0.02)];      // small inputs (post-embed scale)
-  const r = qwen35LinearLayer(RW, RD, xSeq, newLayerState(RD));
-  let maxAbs = 0; for (const y of r.ySeq) for (const v of y) maxAbs = Math.max(maxAbs, Math.abs(v));
-  checks.realWeightSmoke = r.ySeq.length === 2 && r.ySeq.every((y) => y.length === 4096 && finite(y)) && maxAbs < 1e4;   // composes + finite + sane magnitude
-}
-
-const witnessed = Object.values(checks).every(Boolean);
-writeFileSync(join(here, "gguf-forge-qwen35.test.result.json"), JSON.stringify({
-  spec: "qwen35 hybrid layer assembly: schedule (24 linear / 8 attention of 32, interval 4), dimension decode, full gated-DeltaNet linear-layer forward (causal conv+SiLU, q/k/v/z/a/b projections, head-group expansion, the proven kernel, gated RMSNorm, out_proj). Proven: finite output, causality, chunked-decode == one-shot-prefill (bit-identical), layer state is a κ-object (checkpoint→κ→resume), and the layer runs on the REAL dequantized blk.0 weights from the forged .holo with finite, sane output (the dimension decode composes). Numerical parity vs llama.cpp + HF head-order confirmation = S4.7.",
-  authority: "HF modeling_qwen3_next · GGUF qwen35 hparams + blk.0 shapes · gguf-forge-gated-delta (kernel, proven) · gguf-forge-dequant",
-  witnessed, checks,
-}, null, 2) + "\n");
-
-for (const [k, v] of Object.entries(checks)) console.log(`  ${v ? "ok  " : "FAIL"}  ${k}`);
-console.log(`VERDICT : ${witnessed ? "WITNESSED ✓ qwen35 layer assembles, streams==prefill, state is κ, and runs on real weights" : "NOT WITNESSED"}`);
-process.exit(witnessed ? 0 : 1);
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-{
-  "id": "org.hologram.ui.animated-list",
-  "name": "animated-list",
-  "tier": "component",
-  "library": "magicui",
-  "category": "Components",
-  "upstream": "https://magicui.design/r/animated-list.json",
-  "did": "did:holo:sha256:9363c5afa61d7aab1919b4500f7325cc8871b35103d5dd60a2a1625fe5e7dc58",
-  "import": "holo://sha256:9d812d5320051323630c647ac990edb019a70c210875752e8c6131874dd379b2",
-  "integrity": "sha256-nYEtUyAFEyNjDGR6yZDtsBmnDCEIdXUujGExh03TebI=",
-  "kappa": "sha256:9363c5afa61d7aab1919b4500f7325cc8871b35103d5dd60a2a1625fe5e7dc58",
-  "moduleKappa": "sha256:9d812d5320051323630c647ac990edb019a70c210875752e8c6131874dd379b2",
-  "renderExport": "AnimatedListItem",
-  "source": "components/ui/animated-list.tsx",
-  "module": "vendor/components/animated-list.js",
-  "exports": [
-    "AnimatedListItem",
-    "AnimatedList"
-  ],
-  "license": "MIT"
-}
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ca=Ya(St);function R(...e){return ca(re(e))}import{jsx as kt}from"react/jsx-runtime";var wt=j("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 pa({className:e,variant:t="default",size:a="default",asChild:o=!1,...l}){let r=o?K.Root:"button";return kt(r,{"data-slot":"button","data-variant":t,"data-size":a,className:R(wt({variant:t,size:a,className:e})),...l})}import{jsx as fo}from"react/jsx-runtime";import{jsx as Z}from"react/jsx-runtime";var bt=j("group/item flex flex-wrap items-center rounded-md border border-transparent text-sm transition-colors duration-100 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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/badge-check.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/chevron-right.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.
-   *)
-*/
+version https://git-lfs.github.com/spec/v1
+oid sha256:a413bc68f0d9d1b3a7f5f6a7fad759f27451c47fd880cdd0ac656befbbea8311
+size 37993

b/1d1b5edbccfd7324cc4b2bd53a86813b75a19be7153efa1c9e91467d7e6e0194

@@ -1 +1,3 @@
-export default {".hover-3d":{"@layer daisyui.l1.l2.l3":{"display":"inline-grid","perspective":"75rem","--transform":"0, 0","--shine":"100% 100%","--shadow":"0rem 0rem 0rem","--ease":"linear(0, 0.931 13.8%, 1.196 21.4%, 1.343 29.8%, 1.378 36%, 1.365 43.2%, 1.059 78%, 1)","filter":"drop-shadow(var(--shadow) 0.1rem #00000003) drop-shadow(var(--shadow) 0.2rem #00000003) drop-shadow(var(--shadow) 0.3rem #00000003) drop-shadow(var(--shadow) 0.4rem #00000003)","transition":"filter ease-out 400ms","> :nth-child(n + 2)":{"isolation":"isolate","z-index":1,"scale":"1.2"},"> :first-child":{"overflow":"hidden","grid-area":"1/1/4/4","transform":"rotate3d(var(--transform), 0, 10deg)","transition":"transform var(--ease) 500ms, scale var(--ease) 500ms, outline-color ease-out 500ms","outline":"0.5px solid #0000","outline-offset":"-1px","&:before":{"width":"calc(1/3 * 100%)","height":"calc(1/3 * 100%)","content":"\"\"","pointer-events":"none","position":"absolute","z-index":1,"scale":"500%","opacity":0,"filter":"blur(0.75rem)","background-image":"radial-gradient(circle at 50%, #fff3 10%, transparent 50%)","translate":"var(--shine)","transition":"translate ease-out 400ms, opacity ease-out 400ms"}},"&:hover":{"--ease":"linear(0, 0.708 15.2%, 0.927 23.6%, 1.067 33%, 1.12 41%, 1.13 50.2%, 1.019 83.2%, 1)","& > :first-child":{"outline-color":"#fff1","&:before, &:after":{"opacity":1}},"> :first-child":{"scale":"1.05"}},"> :nth-child(2)":{"grid-area":"1/1/2/2"},"> :nth-child(3)":{"grid-area":"1/2/2/3"},"> :nth-child(4)":{"grid-area":"1/3/2/4"},"> :nth-child(5)":{"grid-area":"2/1/3/2"},"> :nth-child(6)":{"grid-area":"2/3/3/4"},"> :nth-child(7)":{"grid-area":"3/1/4/2"},"> :nth-child(8)":{"grid-area":"3/2/4/3"},"> :nth-child(9)":{"grid-area":"3/3/4/4"},"&:has(> :nth-child(2):hover)":{"--transform":"-1, 1","--shine":"0% 0%","--shadow":"-0.5rem -0.5rem"},"&:has(> :nth-child(3):hover)":{"--transform":"-1, 0","--shine":"100% 0%","--shadow":"0rem -0.5rem"},"&:has(> :nth-child(4):hover)":{"--transform":"-1, -1","--shine":"200% 0%","--shadow":"0.5rem -0.5rem"},"&:has(> :nth-child(5):hover)":{"--transform":"0, 1","--shine":"0% 100%","--shadow":"-0.5rem 0rem"},"&:has(> :nth-child(6):hover)":{"--transform":"0, -1","--shine":"200% 100%","--shadow":"0.5rem 0rem"},"&:has(> :nth-child(7):hover)":{"--transform":"1, 1","--shine":"0% 200%","--shadow":"-0.5rem 0.5rem"},"&:has(> :nth-child(8):hover)":{"--transform":"1, 0","--shine":"100% 200%","--shadow":"0rem 0.5rem"},"&:has(> :nth-child(9):hover)":{"--transform":"1, -1","--shine":"200% 200%","--shadow":"0.5rem 0.5rem"}}}};
+version https://git-lfs.github.com/spec/v1
+oid sha256:c5704e23c84c37ff8364c36399587de1d460deb95844fe385d3b4a0c792c99b8
+size 2573

b/1d1e9b8c14e515ed9f326314eeed45637f4985f9e76d78d76e015d5548f8540b

@@ -1,103 +1,3 @@
-// holo-qwen35-gpu-real-forward.mjs — INCREMENTAL forward + generate for the real qwen35 GPU brain. Each token
-// is O(1) layer work: linear layers carry a fixed-size recurrent state {S, convTail}; attention layers append
-// to a growing K/V cache and attend single-query over it (decode-step attention == full causal, verified). No
-// full-sequence reprocessing. Weights stay quantized in VRAM (loaded once); reuses the parity-verified kernels
-// (readback-chained — the on-GPU-resident chaining is the next optimization). Correct by composition: every op
-// matches the CPU oracle that produces "Paris"; absolute RoPE positions + state carry across prefill→decode.
-
-import { conv1dStepGPU, qwenPrepGPU, gatedRMSNormGPU, rmsNorm1pGPU, headNormRopeGPU, singleQAttnGPU } from "./holo-qwen35-kernels.mjs";
-import { gatedDeltaStepGPU } from "./holo-gated-delta-gpu.mjs";
-import { dequantizeExact } from "../gguf-forge-dequant.mjs";
-
-export function makeBrain(ctx) {
-  const { device, rt, D, BPB, embed, lmHead, outNorm, layers, sched, ropeTables, tok, EOS, G, onProgress } = ctx;
-  const readBack = async (buf, n) => { const r = device.createBuffer({ size: n * 4, usage: GPUBufferUsage.COPY_DST | GPUBufferUsage.MAP_READ }); const e = device.createCommandEncoder(); e.copyBufferToBuffer(buf, 0, r, 0, n * 4); device.queue.submit([e.finish()]); await r.mapAsync(GPUMapMode.READ); return new Float32Array(r.getMappedRange().slice(0)); };
-  async function mvq(wq, act, rows = wq.N) {
-    const pipe = wq.type === 12 ? rt.P.q4kraw : wq.type === 13 ? rt.P.q5kraw : rt.P.q6kraw;
-    const ab = rt.wF(act), ov = rt.sbuf(rows);
-    const p = device.createBuffer({ size: 16, usage: GPUBufferUsage.UNIFORM | GPUBufferUsage.COPY_DST });
-    device.queue.writeBuffer(p, 0, new Uint32Array([rows, wq.K, 0, 0]));   // own uniform — never the shared pool (exhausts after 1024)
-    const enc = device.createCommandEncoder(); rt.disp(enc, pipe, [wq.buf, ab, ov, p], G(rows)); device.queue.submit([enc.finish()]);
-    const r = await readBack(ov, rows); ab.destroy(); ov.destroy(); p.destroy(); return r;   // free transient buffers (long gens)
-  }
-  const normCache = new Map(); const normW = async (buf, n) => { if (!normCache.has(buf)) normCache.set(buf, await readBack(buf, n)); return normCache.get(buf); };
-  const gather = (id) => { const t = embed.t, K = t.dims[0], rowBytes = (K / 256) * BPB[t.ggmlType]; return dequantizeExact(t.ggmlType, embed.bytes.subarray(id * rowBytes, (id + 1) * rowBytes), K); };
-  const silu = (x) => x / (1 + Math.exp(-x));
-  let outNormF; const ensureOutNorm = async () => { if (!outNormF) outNormF = await readBack(outNorm, D.d_model); };
-  const rope = ropeTables(D.rope_dim ? 4096 : 4096);   // cos/sin for positions 0..4095 (chat context cap)
-
-  // fresh per-conversation state
-  function newState() {
-    return layers.map((l) => l.type === "linear"
-      ? { S: new Float32Array(D.num_v_heads * D.head_k * D.head_v), convTail: new Float32Array((D.conv_k - 1) * D.conv_dim) }
-      : { K: [], V: [] });
-  }
-
-  async function linearStep(W, x, st) {
-    const an = await normW(W.attn_norm, D.d_model), sn = await normW(W.ssm_norm, D.head_v), sa = await normW(W.ssm_a, D.num_v_heads), sdt = await normW(W.ssm_dt, D.num_v_heads);
-    const nx = await rmsNorm1pGPU(device, x, an, D.eps);
-    const qkv = await mvq(W.attn_qkv, nx), z = await mvq(W.attn_gate, nx), aP = await mvq(W.ssm_alpha, nx), bP = await mvq(W.ssm_beta, nx);
-    const conv = await conv1dStepGPU(device, st.convTail, qkv, await normW(W.ssm_conv1d, D.conv_k * D.conv_dim), D.conv_dim, D.conv_k);
-    const nt = new Float32Array((D.conv_k - 1) * D.conv_dim); nt.set(st.convTail.subarray(D.conv_dim), 0); nt.set(qkv, (D.conv_k - 2) * D.conv_dim); st.convTail = nt;
-    const qS = conv.slice(0, D.key_dim), kS = conv.slice(D.key_dim, 2 * D.key_dim), vS = conv.slice(2 * D.key_dim, 2 * D.key_dim + D.value_dim);
-    const prep = await qwenPrepGPU(device, { qS, kS, aP, bP, sA: sa, sDt: sdt, nvh: D.num_v_heads, nkh: D.num_k_heads, headK: D.head_k });
-    const gd = await gatedDeltaStepGPU(device, { S: st.S, q: prep.qE, k: prep.kE, v: vS, decay: prep.decay, beta: prep.beta, nHeads: D.num_v_heads, headK: D.head_k, headV: D.head_v }); st.S = gd.S;
-    const on = await gatedRMSNormGPU(device, gd.o, sn, z, D.num_v_heads, D.head_v, D.eps);
-    // ssm_out weight kept in GGUF v-head order (in-cols) → permute the HF-ordered activation back to GGUF: onG[g]=on[vpermInv[g]]
-    const nvh = D.num_v_heads, hv = D.head_v, onG = new Float32Array(on.length);
-    for (let g = 0; g < nvh; g++) { const hf = g < nvh / 2 ? 2 * g : 2 * (g - nvh / 2) + 1; onG.set(on.subarray(hf * hv, (hf + 1) * hv), g * hv); }
-    return mvq(W.ssm_out, onG);
-  }
-  async function attnStep(W, x, pos, st) {
-    const hd = D.head_dim, nh = D.n_head, nkv = D.n_kv;
-    const an = await normW(W.attn_norm, D.d_model), qn = await normW(W.attn_q_norm, hd), kn = await normW(W.attn_k_norm, hd);
-    const nx = await rmsNorm1pGPU(device, x, an, D.eps);
-    const qg = await mvq(W.attn_q, nx); const qraw = new Float32Array(nh * hd), g = new Float32Array(nh * hd);
-    for (let h = 0; h < nh; h++) for (let i = 0; i < hd; i++) { qraw[h * hd + i] = qg[h * 2 * hd + i]; g[h * hd + i] = qg[h * 2 * hd + hd + i]; }
-    const q = await headNormRopeGPU(device, qraw, qn, rope.cos[pos], rope.sin[pos], nh, hd, D.rope_dim, D.eps);
-    const k = await headNormRopeGPU(device, await mvq(W.attn_k, nx), kn, rope.cos[pos], rope.sin[pos], nkv, hd, D.rope_dim, D.eps);
-    const v = await mvq(W.attn_v, nx);
-    st.K.push(k); st.V.push(v); const P = st.K.length;
-    const Kc = new Float32Array(P * nkv * hd), Vc = new Float32Array(P * nkv * hd); for (let p = 0; p < P; p++) { Kc.set(st.K[p], p * nkv * hd); Vc.set(st.V[p], p * nkv * hd); }
-    const c = await singleQAttnGPU(device, q, Kc, Vc, P, nh, hd, nkv, 1 / Math.sqrt(hd));
-    for (let i = 0; i < c.length; i++) c[i] *= 1 / (1 + Math.exp(-g[i]));
-    return mvq(W.attn_output, c);
-  }
-  // one token → next-token logits, advancing all per-layer state at absolute position `pos`.
-  async function step(id, pos, state) {
-    await ensureOutNorm();
-    let h = gather(id);
-    for (let L = 0; L < D.n_layer; L++) {
-      const { type, W } = layers[L];
-      const delta = type === "attn" ? await attnStep(W, h, pos, state[L]) : await linearStep(W, h, state[L]);
-      for (let i = 0; i < D.d_model; i++) h[i] += delta[i];
-      const pn = await normW(W.post_attention_norm, D.d_model);
-      const mn = await rmsNorm1pGPU(device, h, pn, D.eps);
-      const gp = await mvq(W.ffn_gate, mn), up = await mvq(W.ffn_up, mn), hh = new Float32Array(D.ffn);
-      for (let i = 0; i < D.ffn; i++) hh[i] = silu(gp[i]) * up[i];
-      const fd = await mvq(W.ffn_down, hh); for (let i = 0; i < D.d_model; i++) h[i] += fd[i];
-    }
-    const hn = await rmsNorm1pGPU(device, h, outNormF, D.eps);
-    return mvq(lmHead, hn, D.vocab);
-  }
-  const argmax = (v) => { let bi = 0, bv = -Infinity; for (let i = 0; i < v.length; i++) if (v[i] > bv) { bv = v[i]; bi = i; } return bi; };
-  function frame(messages) { let s = ""; for (const m of messages) s += `<|im_start|>${m.role}\n${m.content}<|im_end|>\n`; return s + "<|im_start|>assistant\n"; }
-
-  async function* generate(messages, { maxTokens = 256, temperature = 0 } = {}) {
-    const ids = tok.encode(frame(messages), { addSpecial: false, parseSpecial: true });
-    const state = newState();
-    let logits, pos = 0;
-    for (; pos < ids.length; pos++) { logits = await step(ids[pos], pos, state); onProgress && onProgress(`prefill ${pos + 1}/${ids.length}`, (pos + 1) / ids.length); }   // prefill (last logits = first prediction)
-    let text = "", gen = [];
-    for (let n = 0; n < maxTokens; n++) {
-      let tk;
-      if (temperature <= 0) tk = argmax(logits);
-      else { const l = logits.map((x) => x / temperature); const mx = Math.max(...l); let sum = 0; const pr = l.map((x) => { const e = Math.exp(x - mx); sum += e; return e; }); let r = Math.random() * sum, i = 0; for (; i < pr.length; i++) { r -= pr[i]; if (r <= 0) break; } tk = i; }
-      if (EOS.has(tk)) return;
-      gen.push(tk); const full = tok.decode(gen), delta = full.slice(text.length); text = full; yield delta;
-      logits = await step(tk, pos++, state);
-    }
-  }
-  async function chat(messages, o) { let s = ""; for await (const d of generate(messages, o)) s += d; return s.trim(); }
-  return { D, tok, generate, chat, step, newState, argmax, info: () => ({ arch: "qwen35", layers: D.n_layer, vocab: D.vocab }) };
-}
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-{
-  "id": "org.hologram.ui.example.empty-icon",
-  "name": "empty-icon",
-  "tier": "example",
-  "library": "shadcn",
-  "category": "Examples",
-  "upstream": "https://ui.shadcn.com/r/styles/new-york-v4/empty-icon.json",
-  "did": "did:holo:sha256:85ac7ab340d85b531fa30efac011074c595aa241ab40fb66483bdba3897beca8",
-  "import": "holo://sha256:67218baa2f62bb9d57b7076b9dbaa6d2e09bdc12778e1eef7c56e13f0070bcf0",
-  "integrity": "sha256-ZyGLqi9iu51Xtwdrnbqm0uCb3BJ3jh7vfFbhPwBwvPA=",
-  "kappa": "sha256:85ac7ab340d85b531fa30efac011074c595aa241ab40fb66483bdba3897beca8",
-  "moduleKappa": "sha256:67218baa2f62bb9d57b7076b9dbaa6d2e09bdc12778e1eef7c56e13f0070bcf0",
-  "renderExport": "default",
-  "source": "registry/new-york-v4/examples/empty-icon.tsx",
-  "module": "vendor/components/empty-icon.js",
-  "exports": [
-    "default"
-  ],
-  "license": "MIT"
-}
+version https://git-lfs.github.com/spec/v1
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b/1d2c6f9e169ebaa1f536702cf8d6baec4842f2005e6a179848b0a7392e178c2d

@@ -1,26 +1,3 @@
-{
-  "id": "org.hologram.ui.popover",
-  "name": "popover",
-  "tier": "component",
-  "library": "shadcn",
-  "category": "Overlays",
-  "upstream": "https://ui.shadcn.com/r/styles/new-york-v4/popover.json",
-  "did": "did:holo:sha256:d871124f5e867a64f4e3da98f290cd3517660a01b458c42831a8171fb74eff3f",
-  "import": "holo://sha256:8a5b05a3906e6bfbdd06da55169c3edf971225aa4b1ff82b8b5cd9f9e708522b",
-  "integrity": "sha256-ilsFo5Bua/vdBtpVFpw+35cSJapLH/gri1zZ+ecIUis=",
-  "kappa": "sha256:d871124f5e867a64f4e3da98f290cd3517660a01b458c42831a8171fb74eff3f",
-  "moduleKappa": "sha256:8a5b05a3906e6bfbdd06da55169c3edf971225aa4b1ff82b8b5cd9f9e708522b",
-  "renderExport": "Popover",
-  "source": "components/ui/popover.tsx",
-  "module": "vendor/components/popover.js",
-  "exports": [
-    "Popover",
-    "PopoverTrigger",
-    "PopoverContent",
-    "PopoverAnchor",
-    "PopoverHeader",
-    "PopoverTitle",
-    "PopoverDescription"
-  ],
-  "license": "MIT"
-}
+version https://git-lfs.github.com/spec/v1
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b/1d334d984bc2d8f0d85df835b7688ea791bc05b3c70077541f0e00608feefd00

@@ -1,133 +1,3 @@
-// holo-qwen35-gpu-real.mjs — the REAL qwen35 9B thinking brain on WebGPU: streams the .holo's quantized weights,
-// keeps them packed in VRAM, runs the whole forward on-GPU (no per-op readback — only the final logits come
-// back), and generates. Reuses the forge tokenizer (makeTokenizer) + the engine's quantized matvec + the
-// parity-verified qwen35 kernels. Every mechanic here is verified against the CPU oracle (which matches HF and
-// produces "Paris"): quantized matvec (Q4_K/Q5_K/Q6_K), the v-head block permutation, both mixers, whole model.
-//
-//   const brain = await loadQwen35Brain({ holoUrl, onProgress });
-//   for await (const delta of brain.generate(messages, { maxTokens })) ui.append(delta);
-//
-// NOTE: full-sequence forward per token (correct; KV-cache incremental decode is the next optimization). The
-// 9B needs ~5.6 GB VRAM resident — the device is requested with the adapter's max limits; weak GPUs should be
-// gated away (holo-q-think-tier). This is a browser module (WebGPU); verified live, never by eye.
-
-import { createGpuRuntime, MATVECQ4KRAW, MATVECQ5RAW, MATVECQ6KRAW, RMS, SWIGLU, ADD, G } from "./holo-gguf-gpu.mjs";
-import { RMSNORM_1P_WGSL, GATED_RMSNORM_WGSL, CONV1D_STEP_WGSL, QWEN_PREP_WGSL, HEAD_NORM_ROPE_WGSL, CAUSAL_GQA_WGSL } from "./holo-qwen35-kernels.mjs";
-import { GATED_DELTA_STEP_WGSL } from "./holo-gated-delta-gpu.mjs";
-import { openHoloStream } from "../holo-archive.mjs";
-import { parseGgufHeader } from "../../qvac-ingest.mjs";
-import { makeTokenizer } from "../gguf-forge-tokenizer.mjs";
-
-const RAW = { 12: MATVECQ4KRAW, 13: MATVECQ5RAW, 14: MATVECQ6KRAW };   // ggmlType → raw quantized matvec kernel
-const BPB = { 12: 144, 13: 176, 14: 210 };
-const EOS = new Set([248046, 248044]);   // qwen35 eos / pad (from meta)
-
-export async function loadQwen35Brain({ holoUrl, onProgress = () => {} }) {
-  if (!navigator.gpu) throw new Error("WebGPU not available in this browser");
-  const adapter = await navigator.gpu.requestAdapter({ powerPreference: "high-performance" });
-  const L = adapter.limits;
-  const device = await adapter.requestDevice({ requiredLimits: {
-    maxStorageBufferBindingSize: L.maxStorageBufferBindingSize, maxBufferSize: L.maxBufferSize,
-    maxStorageBuffersPerShaderStage: Math.min(10, L.maxStorageBuffersPerShaderStage),
-  } });
-  const rt = createGpuRuntime(device);
-  const pipes = { rms1p: pipe(RMSNORM_1P_WGSL), gnorm: pipe(GATED_RMSNORM_WGSL), conv: pipe(CONV1D_STEP_WGSL), prep: pipe(QWEN_PREP_WGSL), hnr: pipe(HEAD_NORM_ROPE_WGSL), gqa: pipe(CAUSAL_GQA_WGSL), gd: pipe(GATED_DELTA_STEP_WGSL), q4: rt.P.q4kraw, q5: rt.P.q5raw, q6: rt.P.q6kraw, rms: rt.P.rms, swiglu: rt.P.swiglu, add: rt.P.add };
-  function pipe(code) { return device.createComputePipeline({ layout: "auto", compute: { module: device.createShaderModule({ code }), entryPoint: "main" } }); }
-
-  // ── stream + parse the .holo ──
-  const totalLen = Number((await fetch(holoUrl, { method: "HEAD" })).headers.get("content-length") || 0);
-  const rr = async (off, len) => new Uint8Array(await (await fetch(holoUrl, { headers: { Range: `bytes=${off}-${off + len - 1}` } })).arrayBuffer());
-  const h = await openHoloStream(rr);
-  // ── B1: content-addressed body delivery (fabric commons). Each weight body is κ-addressed, so resolve it
-  // OPFS (own-device durable cache — 0 network, offline) → commons/peer (resolveData, κ-route, VERIFIED by
-  // re-derivation) → origin (L5-verified by openHoloStream), mirroring every fetched body into OPFS. On a
-  // reload the 5.6GB streams from LOCAL disk: ~0 bytes from origin. Fabric-gated; origin path unchanged when off.
-  const loadBytes = { origin: 0, cache: 0, peer: 0 };
-  const fabricOn = () => { try { return globalThis.holoFabric ? globalThis.holoFabric.enabled !== false : true; } catch (e) { return true; } };
-  let _opfsDir = null;
-  const opfsDir = async () => { if (_opfsDir === null) { try { const root = await navigator.storage.getDirectory(); _opfsDir = await root.getDirectoryHandle("q-holo-cache", { create: true }); try { navigator.storage.persist && navigator.storage.persist(); } catch (e) {} } catch (e) { _opfsDir = false; } } return _opfsDir; };
-  const opfsGet = async (hex) => { try { const d = await opfsDir(); if (!d) return null; const f = await (await d.getFileHandle(hex)).getFile(); return new Uint8Array(await f.arrayBuffer()); } catch (e) { return null; } };
-  const opfsPut = async (hex, bytes) => { try { const d = await opfsDir(); if (!d) return; const w = await (await d.getFileHandle(hex, { create: true })).createWritable(); await w.write(bytes); await w.close(); } catch (e) {} };
-  const sha256hex = async (bytes) => { const b = await crypto.subtle.digest("SHA-256", bytes); return [...new Uint8Array(b)].map((x) => x.toString(16).padStart(2, "0")).join(""); };
-  const origGetBody = h.getBody.bind(h);
-  h.getBody = async (kappa) => {
-    const hex = String(kappa).split(":").pop();
-    if (fabricOn()) {
-      const c = await opfsGet(hex); if (c) { loadBytes.cache += c.length; return c; }                                       // own-device durable cache (trusted: we cached L5-verified bytes)
-      if (globalThis.resolveData) { try { const b = await globalThis.resolveData(kappa); if (b) { const u = new Uint8Array(b); if (await sha256hex(u) === hex) { loadBytes.peer += u.length; opfsPut(hex, u); return u; } } } catch (e) {} }   // commons/peer — VERIFIED before use
-    }
-    const b = await origGetBody(kappa); loadBytes.origin += b.length; if (fabricOn()) opfsPut(hex, b);                        // origin (L5-verified) → mirror to OPFS for next time
-    return b;
-  };
-  const { meta, tensors } = parseGgufHeader(h.headerBytes);
-  const tok = makeTokenizer(h.headerBytes);
-  const info = new Map(tensors.map((t) => [t.name, t]));
-  const kByName = new Map(h.order.map((o) => [o.name, String(o.kappa).split(":").pop()]));
-  const g = (k) => meta["qwen35." + k];
-  const D = {
-    d_model: g("embedding_length"), n_layer: g("block_count"), vocab: 248320, ffn: g("feed_forward_length"), eps: g("attention.layer_norm_rms_epsilon") || 1e-6,
-    head_k: g("ssm.state_size"), num_k_heads: g("ssm.group_count"), value_dim: g("ssm.inner_size"), conv_k: g("ssm.conv_kernel"),
-    n_head: g("attention.head_count"), n_kv: g("attention.head_count_kv"), head_dim: g("attention.key_length"), rope_dim: g("rope.dimension_count"), rope_theta: g("rope.freq_base"), interval: g("full_attention_interval"),
-  };
-  D.head_v = D.head_k; D.num_v_heads = Math.round(D.value_dim / D.head_v); D.key_dim = D.num_k_heads * D.head_k; D.conv_dim = 2 * D.key_dim + D.value_dim;
-  const vperm = (() => { const p = new Int32Array(D.num_v_heads); for (let s = 0; s < D.num_v_heads; s++) p[s] = (s % 2 === 0) ? (s >> 1) : (D.num_v_heads / 2 + ((s - 1) >> 1)); return p; })();
-
-  // ── buffer helpers ──
-  const sb = (nFloats) => device.createBuffer({ size: Math.max(16, nFloats * 4), usage: GPUBufferUsage.STORAGE | GPUBufferUsage.COPY_SRC | GPUBufferUsage.COPY_DST });
-  const wF = (arr) => { const b = device.createBuffer({ size: Math.max(16, arr.byteLength), usage: GPUBufferUsage.STORAGE | GPUBufferUsage.COPY_DST | GPUBufferUsage.COPY_SRC }); device.queue.writeBuffer(b, 0, arr); return b; };   // COPY_SRC: F32 norm/conv/a/dt weights are read back via normW
-  const wRaw = (u8) => wF(new Uint32Array(u8.buffer, u8.byteOffset, u8.byteLength / 4));
-
-  // load a weight tensor's raw quantized bytes → GPU buffer (+ optional v-head ROW-block permutation).
-  async function loadQ(name, blockRows = 0) {   // v-head row-permute: blockRows = OUTPUT rows per v-head (0 = none)
-    const t = info.get(name); let bytes = await h.getBody(kByName.get(name));
-    if (blockRows) { const K = t.dims[0], nb = K / 256, rowBytes = nb * BPB[t.ggmlType], blk = blockRows * rowBytes, out = new Uint8Array(bytes.length); for (let s = 0; s < D.num_v_heads; s++) out.set(bytes.subarray(vperm[s] * blk, (vperm[s] + 1) * blk), s * blk); bytes = out; }
-    return { buf: wRaw(bytes), type: t.ggmlType, N: t.dims[1], K: t.dims[0] };
-  }
-  const deqF32 = async (name) => { const { dequantizeExact } = await import("../gguf-forge-dequant.mjs"); const t = info.get(name); return dequantizeExact(t.ggmlType, await h.getBody(kByName.get(name)), t.dims.reduce((a, b) => a * b, 1)); };
-
-  // ── load all weights (with the solved conventions) ──
-  onProgress("loading weights…", 0);
-  const embed = { t: info.get("token_embd.weight"), bytes: await h.getBody(kByName.get("token_embd.weight")) };   // gathered on host per token
-  const lmHead = await loadQ("output.weight");
-  const outNorm = wF((await deqF32("output_norm.weight")).map((x) => x - 1));   // baked +1 → (1+(w-1))=w
-  const sched = Array.from({ length: D.n_layer }, (_, i) => ((i + 1) % D.interval === 0) ? "attn" : "linear");
-  const layers = [];
-  for (let Lx = 0; Lx < D.n_layer; Lx++) {
-    const N = `blk.${Lx}.`, type = sched[Lx], W = {};
-    W.attn_norm = wF((await deqF32(N + "attn_norm.weight")).map((x) => x - 1));
-    W.post_attention_norm = wF((await deqF32(N + "post_attention_norm.weight")).map((x) => x - 1));
-    W.ffn_gate = await loadQ(N + "ffn_gate.weight"); W.ffn_up = await loadQ(N + "ffn_up.weight"); W.ffn_down = await loadQ(N + "ffn_down.weight");
-    if (type === "linear") {
-      W.attn_qkv = await loadQ(N + "attn_qkv.weight");       // v-rows permuted below (split path); q/k identity
-      W.attn_gate = await loadQ(N + "attn_gate.weight", D.head_v);   // z: 32 v-heads × head_v rows each
-      W.ssm_alpha = await loadQ(N + "ssm_alpha.weight", 1); W.ssm_beta = await loadQ(N + "ssm_beta.weight", 1);   // 32 out rows (1/v-head)
-      W.ssm_out = await loadQ(N + "ssm_out.weight");          // in-cols v-head-indexed → activation permuted at runtime (linearStep)
-      // attn_qkv v-rows: permute just the v-head block ranges (rows keyDim2..end); q/k rows identity
-      { const t = info.get(N + "attn_qkv.weight"); let b = await h.getBody(kByName.get(N + "attn_qkv.weight")); const K = t.dims[0], nb = K / 256, rB = nb * BPB[t.ggmlType], vOff = 2 * D.key_dim; const out = Uint8Array.from(b); for (let s = 0; s < D.num_v_heads; s++) for (let r = 0; r < D.head_v; r++) { const dstRow = vOff + s * D.head_v + r, srcRow = vOff + vperm[s] * D.head_v + r; out.set(b.subarray(srcRow * rB, (srcRow + 1) * rB), dstRow * rB); } W.attn_qkv = { buf: wRaw(out), type: t.ggmlType, N: t.dims[1], K }; }
-      const aRaw = (await deqF32(N + "ssm_a")); const aPerm = new Float32Array(D.num_v_heads); for (let s = 0; s < D.num_v_heads; s++) aPerm[s] = Math.log(-aRaw[vperm[s]]); W.ssm_a = wF(aPerm);
-      const dtRaw = (await deqF32(N + "ssm_dt.bias")); const dtP = new Float32Array(D.num_v_heads); for (let s = 0; s < D.num_v_heads; s++) dtP[s] = dtRaw[vperm[s]]; W.ssm_dt = wF(dtP);
-      W.ssm_norm = wF(await deqF32(N + "ssm_norm.weight"));   // RMSNormGated: plain w
-      const cwRaw = await deqF32(N + "ssm_conv1d.weight"), C = info.get(N + "ssm_conv1d.weight").dims[1], K = info.get(N + "ssm_conv1d.weight").dims[0];
-      const conv = new Float32Array(K * C); for (let c = 0; c < C; c++) for (let j = 0; j < K; j++) conv[j * C + c] = cwRaw[c * K + j];
-      const convP = Float32Array.from(conv); for (let j = 0; j < K; j++) for (let s = 0; s < D.num_v_heads; s++) convP.set(conv.subarray(j * C + 2 * D.key_dim + vperm[s] * D.head_v, j * C + 2 * D.key_dim + (vperm[s] + 1) * D.head_v), j * C + 2 * D.key_dim + s * D.head_v); W.ssm_conv1d = wF(convP);
-    } else {
-      W.attn_q = await loadQ(N + "attn_q.weight"); W.attn_k = await loadQ(N + "attn_k.weight"); W.attn_v = await loadQ(N + "attn_v.weight"); W.attn_output = await loadQ(N + "attn_output.weight");
-      W.attn_q_norm = wF((await deqF32(N + "attn_q_norm.weight")).map((x) => x - 1)); W.attn_k_norm = wF((await deqF32(N + "attn_k_norm.weight")).map((x) => x - 1));
-    }
-    layers.push({ type, W });
-    onProgress(`layer ${Lx + 1}/${D.n_layer}`, (Lx + 1) / D.n_layer);
-  }
-
-  // RoPE tables (partial, head_dim/2 split): cos/sin length rope_dim, per position.
-  function ropeTables(T) { const rd = D.rope_dim, half = rd / 2, inv = new Float32Array(half); for (let i = 0; i < half; i++) inv[i] = 1 / Math.pow(D.rope_theta, (2 * i) / rd); const cos = [], sin = []; for (let t = 0; t < T; t++) { const c = new Float32Array(rd), s = new Float32Array(rd); for (let i = 0; i < half; i++) { const f = t * inv[i]; c[i] = c[i + half] = Math.cos(f); s[i] = s[i + half] = Math.sin(f); } cos.push(c); sin.push(s); } return { cos, sin }; }
-
-  const modelTag = kByName.get("output.weight") || kByName.get("token_embd.weight") || "qwen35-9b";   // a body-κ fingerprint → scopes the answer/KV cache to THIS model
-  const ctx = { device, rt, pipes, D, RAW, BPB, embed, lmHead, outNorm, layers, sched, ropeTables, tok, EOS, sb, wF, G, totalLen, onProgress, modelTag };
-  const brainMod = await import("./holo-qwen35-gpu-real-forward.mjs");     // readback engine (oracle, == HF)
-  const residentMod = await import("./holo-qwen35-resident.mjs");          // on-GPU resident decode (shares the SAME weights)
-  const brain = brainMod.makeBrain(ctx);
-  brain.resident = residentMod.makeResident(ctx);   // parity-testable side by side, no double VRAM
-  const loadStats = () => { const t = loadBytes.origin + loadBytes.cache + loadBytes.peer; return { ...loadBytes, total: t, fromOriginPct: t ? Math.round((loadBytes.origin / t) * 100) : 0 }; };
-  brain.loadStats = loadStats; brain.resident.loadStats = loadStats;
-  return brain;
-}
+version https://git-lfs.github.com/spec/v1
+oid sha256:b81a2a297b32ec07e06d06bde47b2488d62f848f19a983d14409eaa307e92e4d
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b/1d612e61fa4cc7ae9af90ff3988e54b3f606263d0ebbbc292895945803ef29b2

@@ -1,27 +1,3 @@
-{
-  "id": "org.hologram.ui.daisyui.divider",
-  "name": "daisyui-divider",
-  "tier": "component",
-  "library": "daisyui",
-  "category": "Layout",
-  "upstream": "https://cdn.jsdelivr.net/npm/daisyui@5.5.23/components/divider.css",
-  "docs": "https://daisyui.com/components/divider/",
-  "did": "did:holo:sha256:d1cbbf4c59e6dee8ffd3698a46f81834077c316cb64f1ac31f00803132d02a65",
-  "import": "holo://sha256:d1cbbf4c59e6dee8ffd3698a46f81834077c316cb64f1ac31f00803132d02a65",
-  "integrity": "sha256-0cu/TFnm3uj/02mKRvgYNAd8MWy2TxrDHwCAMTLQKmU=",
-  "kappa": "sha256:d1cbbf4c59e6dee8ffd3698a46f81834077c316cb64f1ac31f00803132d02a65",
-  "moduleKappa": "sha256:d1cbbf4c59e6dee8ffd3698a46f81834077c316cb64f1ac31f00803132d02a65",
-  "renderExport": null,
-  "format": "css",
-  "source": "components/divider.css",
-  "module": "vendor/daisyui/components/divider.css",
-  "exports": [],
-  "bytes": 10161,
-  "provenance": {
-    "package": "daisyui",
-    "version": "5.5.23",
-    "integrity": "sha512-xuheNUSL4T6ZVtWXoioqcNkjoyGX85QTDz4HTw2aBPfqk4fuMjax5HDo8qCmpV6M1YN8bGvfx5BpYCoDeRlt+A==",
-    "file": "components/divider.css"
-  },
-  "license": "MIT"
-}
+version https://git-lfs.github.com/spec/v1
+oid sha256:4fb2f7fbc72076c6c8fcf1405f492440a70b02bef45cc29ac2a8ec36f107cc09
+size 1134

b/1d77caf194b3f1187e88d2eadf83e01e6e1846632b7d138c1a86a464838a5dc2

@@ -1,55 +1,3 @@
-"use client"
-
-import * as React from "react"
-import type { DropdownMenu as DropdownMenuPrimitive } from "radix-ui"
-
-import { Button } from "@/registry/new-york-v4/ui/button"
-import {
-  DropdownMenu,
-  DropdownMenuCheckboxItem,
-  DropdownMenuContent,
-  DropdownMenuLabel,
-  DropdownMenuSeparator,
-  DropdownMenuTrigger,
-} from "@/registry/new-york-v4/ui/dropdown-menu"
-
-type Checked = React.ComponentProps<
-  typeof DropdownMenuPrimitive.CheckboxItem
->["checked"]
-
-export default function DropdownMenuCheckboxes() {
-  const [showStatusBar, setShowStatusBar] = React.useState<Checked>(true)
-  const [showActivityBar, setShowActivityBar] = React.useState<Checked>(false)
-  const [showPanel, setShowPanel] = React.useState<Checked>(false)
-
-  return (
-    <DropdownMenu>
-      <DropdownMenuTrigger asChild>
-        <Button variant="outline">Open</Button>
-      </DropdownMenuTrigger>
-      <DropdownMenuContent className="w-56">
-        <DropdownMenuLabel>Appearance</DropdownMenuLabel>
-        <DropdownMenuSeparator />
-        <DropdownMenuCheckboxItem
-          checked={showStatusBar}
-          onCheckedChange={setShowStatusBar}
-        >
-          Status Bar
-        </DropdownMenuCheckboxItem>
-        <DropdownMenuCheckboxItem
-          checked={showActivityBar}
-          onCheckedChange={setShowActivityBar}
-          disabled
-        >
-          Activity Bar
-        </DropdownMenuCheckboxItem>
-        <DropdownMenuCheckboxItem
-          checked={showPanel}
-          onCheckedChange={setShowPanel}
-        >
-          Panel
-        </DropdownMenuCheckboxItem>
-      </DropdownMenuContent>
-    </DropdownMenu>
-  )
-}
+version https://git-lfs.github.com/spec/v1
+oid sha256:a4ff83f4710ff94d1872d894bae6b93b5830ef1205b9982346d418db630c0c42
+size 1623

b/1d7e7cd23c36f98e28c9ac19295b39c069a9c653dac08b2331d0681e98566259

@@ -1,116 +1,3 @@
-"use client"
-
-import * as React from "react"
-
-import { cn } from "@/lib/utils"
-
-function Table({ className, ...props }: React.ComponentProps<"table">) {
-  return (
-    <div
-      data-slot="table-container"
-      className="relative w-full overflow-x-auto"
-    >
-      <table
-        data-slot="table"
-        className={cn("w-full caption-bottom text-sm", className)}
-        {...props}
-      />
-    </div>
-  )
-}
-
-function TableHeader({ className, ...props }: React.ComponentProps<"thead">) {
-  return (
-    <thead
-      data-slot="table-header"
-      className={cn("[&_tr]:border-b", className)}
-      {...props}
-    />
-  )
-}
-
-function TableBody({ className, ...props }: React.ComponentProps<"tbody">) {
-  return (
-    <tbody
-      data-slot="table-body"
-      className={cn("[&_tr:last-child]:border-0", className)}
-      {...props}
-    />
-  )
-}
-
-function TableFooter({ className, ...props }: React.ComponentProps<"tfoot">) {
-  return (
-    <tfoot
-      data-slot="table-footer"
-      className={cn(
-        "border-t bg-muted/50 font-medium [&>tr]:last:border-b-0",
-        className
-      )}
-      {...props}
-    />
-  )
-}
-
-function TableRow({ className, ...props }: React.ComponentProps<"tr">) {
-  return (
-    <tr
-      data-slot="table-row"
-      className={cn(
-        "border-b transition-colors hover:bg-muted/50 has-aria-expanded:bg-muted/50 data-[state=selected]:bg-muted",
-        className
-      )}
-      {...props}
-    />
-  )
-}
-
-function TableHead({ className, ...props }: React.ComponentProps<"th">) {
-  return (
-    <th
-      data-slot="table-head"
-      className={cn(
-        "h-10 px-2 text-left align-middle font-medium whitespace-nowrap text-foreground [&:has([role=checkbox])]:pr-0 [&>[role=checkbox]]:translate-y-[2px]",
-        className
-      )}
-      {...props}
-    />
-  )
-}
-
-function TableCell({ className, ...props }: React.ComponentProps<"td">) {
-  return (
-    <td
-      data-slot="table-cell"
-      className={cn(
-        "p-2 align-middle whitespace-nowrap [&:has([role=checkbox])]:pr-0 [&>[role=checkbox]]:translate-y-[2px]",
-        className
-      )}
-      {...props}
-    />
-  )
-}
-
-function TableCaption({
-  className,
-  ...props
-}: React.ComponentProps<"caption">) {
-  return (
-    <caption
-      data-slot="table-caption"
-      className={cn("mt-4 text-sm text-muted-foreground", className)}
-      {...props}
-    />
-  )
-}
-
-export {
-  Table,
-  TableHeader,
-  TableBody,
-  TableFooter,
-  TableHead,
-  TableRow,
-  TableCell,
-  TableCaption,
-}
+version https://git-lfs.github.com/spec/v1
+oid sha256:20e5a7f224959c6b75802995706a97e9da171f693d4b6b1b436388fcd9df96f3
+size 2478

b/1d91954229902aea23185e49bb0fef3dfe31c5cdfcbd7e658030f8ed094ae5e8

@@ -1,112 +1,3 @@
-"use client"
-
-import { TrendingUp } from "lucide-react"
-import {
-  Label,
-  PolarGrid,
-  PolarRadiusAxis,
-  RadialBar,
-  RadialBarChart,
-} from "recharts"
-
-import {
-  Card,
-  CardContent,
-  CardDescription,
-  CardFooter,
-  CardHeader,
-  CardTitle,
-} from "@/registry/new-york-v4/ui/card"
-import {
-  ChartContainer,
-  type ChartConfig,
-} from "@/registry/new-york-v4/ui/chart"
-
-export const description = "A radial chart with text"
-
-const chartData = [
-  { browser: "safari", visitors: 200, fill: "var(--color-safari)" },
-]
-
-const chartConfig = {
-  visitors: {
-    label: "Visitors",
-  },
-  safari: {
-    label: "Safari",
-    color: "var(--chart-2)",
-  },
-} satisfies ChartConfig
-
-export function ChartRadialText() {
-  return (
-    <Card className="flex flex-col">
-      <CardHeader className="items-center pb-0">
-        <CardTitle>Radial Chart - Text</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}
-            startAngle={0}
-            endAngle={250}
-            outerRadius={90}
-            innerRadius={80}
-          >
-            <PolarGrid
-              gridType="circle"
-              radialLines={false}
-              stroke="none"
-              className="first:fill-muted last:fill-background"
-              polarRadius={[90, 80]}
-            />
-            <RadialBar dataKey="visitors" background cornerRadius={10} />
-            <PolarRadiusAxis tick={false} tickLine={false} axisLine={false}>
-              <Label
-                content={({ viewBox }) => {
-                  if (viewBox && "cx" in viewBox && "cy" in viewBox) {
-                    return (
-                      <text
-                        x={viewBox.cx}
-                        y={viewBox.cy}
-                        textAnchor="middle"
-                        dominantBaseline="middle"
-                      >
-                        <tspan
-                          x={viewBox.cx}
-                          y={viewBox.cy}
-                          className="fill-foreground text-4xl font-bold"
-                        >
-                          {chartData[0].visitors.toLocaleString()}
-                        </tspan>
-                        <tspan
-                          x={viewBox.cx}
-                          y={(viewBox.cy || 0) + 24}
-                          className="fill-muted-foreground"
-                        >
-                          Visitors
-                        </tspan>
-                      </text>
-                    )
-                  }
-                }}
-              />
-            </PolarRadiusAxis>
-          </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>
-  )
-}
+version https://git-lfs.github.com/spec/v1
+oid sha256:d02a7c05bb28a4a76e7cb2d16df8ae33bd4e50e06a095f8d13a02cd78d33818e
+size 3260

b/1d924b1309c0374bc494702500d8db178b30e55e60306f58cb18212a35d0fbd5

@@ -1,20 +1,3 @@
-{
-  "id": "org.hologram.ui.example.navigation-menu-demo",
-  "name": "navigation-menu-demo",
-  "tier": "example",
-  "library": "shadcn",
-  "category": "Examples",
-  "upstream": "https://ui.shadcn.com/r/styles/new-york-v4/navigation-menu-demo.json",
-  "did": "did:holo:sha256:17464911daa88a84345fbc6c1485d0f346b5417f0bb3370f623ee435fb50265d",
-  "import": "holo://sha256:e30b724f29935aefada691a8b159ad5d0f4c9b03ffce497db86798eb2f65a37b",
-  "integrity": "sha256-4wtyTymTWu+tppGosVmtXQ9MmwP/zkl9uGeY6y9lo3s=",
-  "kappa": "sha256:17464911daa88a84345fbc6c1485d0f346b5417f0bb3370f623ee435fb50265d",
-  "moduleKappa": "sha256:e30b724f29935aefada691a8b159ad5d0f4c9b03ffce497db86798eb2f65a37b",
-  "renderExport": "default",
-  "source": "registry/new-york-v4/examples/navigation-menu-demo.tsx",
-  "module": "vendor/components/navigation-menu-demo.js",
-  "exports": [
-    "default"
-  ],
-  "license": "MIT"
-}
+version https://git-lfs.github.com/spec/v1
+oid sha256:680c859b002f12f5de9df932a9809031ee36cbb0ab27506fc3d76552f947d422
+size 894

b/1db7c1e7b1eb8ee3087cf309e707ad194d5fb5f3984f39642063b09a403e5ea2

@@ -1,31 +1,3 @@
-:root:has(input.theme-controller[value=nord]:checked),[data-theme="nord"] {
-color-scheme: light;
---color-base-100: oklch(95.127% 0.007 260.731);
---color-base-200: oklch(93.299% 0.01 261.788);
---color-base-300: oklch(89.925% 0.016 262.749);
---color-base-content: oklch(32.437% 0.022 264.182);
---color-primary: oklch(59.435% 0.077 254.027);
---color-primary-content: oklch(11.887% 0.015 254.027);
---color-secondary: oklch(69.651% 0.059 248.687);
---color-secondary-content: oklch(13.93% 0.011 248.687);
---color-accent: oklch(77.464% 0.062 217.469);
---color-accent-content: oklch(15.492% 0.012 217.469);
---color-neutral: oklch(45.229% 0.035 264.131);
---color-neutral-content: oklch(89.925% 0.016 262.749);
---color-info: oklch(69.207% 0.062 332.664);
---color-info-content: oklch(13.841% 0.012 332.664);
---color-success: oklch(76.827% 0.074 131.063);
---color-success-content: oklch(15.365% 0.014 131.063);
---color-warning: oklch(85.486% 0.089 84.093);
---color-warning-content: oklch(17.097% 0.017 84.093);
---color-error: oklch(60.61% 0.12 15.341);
---color-error-content: oklch(12.122% 0.024 15.341);
---radius-selector: 1rem;
---radius-field: 0.25rem;
---radius-box: 0.5rem;
---size-selector: 0.25rem;
---size-field: 0.25rem;
---border: 1px;
---depth: 0;
---noise: 0;
-}
+version https://git-lfs.github.com/spec/v1
+oid sha256:12dd73d5b35420c9981a9d08eb4f5f01bdb27c2d460a757a73fea1a154b88982
+size 1255

b/1dcec218a2f7b66e0a1440db345620b4badbee36ef670ad4b800d814f64fe438

@@ -1,229 +1,3 @@
-<!doctype html>
-<meta charset="utf-8">
-<meta name="viewport" content="width=device-width, initial-scale=1">
-<title>Holo GGUF — .holo streaming cold load</title>
-<style>
-  :root{--bg:#0b0d12;--panel:#14171f;--line:#252b3a;--txt:#eef1f6;--dim:#9aa3b8;--accent:#5eead4;}
-  *{box-sizing:border-box;} html,body{margin:0;background:var(--bg);color:var(--txt);font:16px/1.6 ui-sans-serif,system-ui,Segoe UI,Roboto,sans-serif;}
-  #app{max-width:880px;margin:0 auto;padding:22px 18px;}
-  h1{font-size:21px;margin:0;} h1 b{color:var(--accent);} .sub{color:var(--dim);font-size:14px;margin-top:4px;}
-  .controls{display:flex;gap:10px;margin-top:16px;align-items:center;flex-wrap:wrap;}
-  select,button{font-size:15px;font-family:inherit;background:var(--panel);color:var(--txt);border:1px solid var(--line);border-radius:10px;padding:11px 16px;cursor:pointer;}
-  button.go{background:var(--accent);color:#06241f;font-weight:700;border:0;}
-  button:disabled{opacity:.4;cursor:default;}
-  .bar{height:8px;background:#0e1118;border-radius:6px;overflow:hidden;margin-top:18px;}
-  .bar>i{display:block;height:100%;width:0;background:var(--accent);transition:width .1s;}
-  .status{color:var(--dim);font-size:14px;margin-top:8px;min-height:20px;}
-  .stats{display:grid;grid-template-columns:repeat(4,1fr);gap:10px;margin-top:18px;}
-  .stat{background:var(--panel);border:1px solid var(--line);border-radius:14px;padding:14px 16px;}
-  .stat .n{font-size:26px;font-weight:700;} .stat .n.ok{color:var(--accent);}
-  .stat .l{font-size:13px;color:var(--dim);text-transform:uppercase;letter-spacing:.5px;margin-top:5px;}
-  @media(max-width:720px){.stats{grid-template-columns:repeat(2,1fr);}}
-  .out{margin-top:20px;background:var(--panel);border:1px solid var(--line);border-radius:14px;padding:16px 18px;font-size:17px;min-height:28px;}
-  .out b{color:var(--accent);}
-</style>
-<div id="app">
-  <h1>Hologram <b>.holo</b> streaming cold load</h1>
-  <div class="sub">Stream a precompiled, content-addressed model over HTTP Range — verified per block (L5), token_embd deferred — onto your GPU. No whole-file download, no server compute.</div>
-  <div class="controls">
-    <select id="link">
-      <option value="0">Link: Unlimited (localhost)</option>
-      <option value="125000000">Link: 1 Gbps fiber</option>
-      <option value="62500000" selected>Link: 500 Mbps wifi</option>
-      <option value="6250000">Link: 50 Mbps phone</option>
-    </select>
-    <button class="go" id="go">Stream &amp; run</button>
-    <span class="status" id="status">Pick a link speed and stream the model.</span>
-  </div>
-  <div class="bar"><i id="bar"></i></div>
-  <div class="stats">
-    <div class="stat"><div class="n ok" id="s-ttfb">—</div><div class="l">First block</div></div>
-    <div class="stat"><div class="n ok" id="s-ttft">—</div><div class="l">First token (TTFT)</div></div>
-    <div class="stat"><div class="n" id="s-crit">—</div><div class="l">Critical path</div></div>
-    <div class="stat"><div class="n" id="s-thru">—</div><div class="l">Throughput</div></div>
-  </div>
-  <div class="out" id="out">The capital of France is <span id="tok"></span></div>
-</div>
-<script type="module">
-import { openHoloStream } from "../holo-archive.mjs";
-import { parseGgufHeader } from "../../qvac-ingest.mjs";
-import { synthesizeGraph } from "../gguf-forge-graph.mjs";
-import { makeTokenizer } from "../gguf-forge-tokenizer.mjs";
-import { dequantizeExact, GGML } from "../gguf-forge-dequant.mjs";
-import { unpackWeight } from "../gguf-forge-gpupack.mjs";
-import { ggmlNBytes, GGML_TYPE_NAME } from "../gguf-forge.mjs";
-
-const HOLO = "http://localhost:8795/.models/qwen2.5-0.5b-instruct.holo";
-const PROMPT_IDS = [785, 6722, 315, 9625, 374];   // "The capital of France is"
-const $ = (id) => document.getElementById(id);
-
-// kernels (proven, from the forge runtime)
-const Q5=`@group(0)@binding(0)var<storage,read>rb:array<u32>;@group(0)@binding(1)var<storage,read>act:array<f32>;@group(0)@binding(2)var<storage,read_write>o:array<f32>;@group(0)@binding(3)var<uniform>p:vec4<u32>;
-fn gb(i:u32)->u32{return (rb[i>>2u]>>((i&3u)*8u))&0xffu;}
-@compute @workgroup_size(64)fn main(@builtin(global_invocation_id)g:vec3<u32>){let n=g.x;let N=p.x;let K=p.y;if(n>=N){return;}let nb=K/32u;let rB=n*nb*22u;var acc=0.0;for(var b=0u;b<nb;b++){let bp=rB+b*22u;let d=unpack2x16float(gb(bp)|(gb(bp+1u)<<8u)).x;let qh=gb(bp+2u)|(gb(bp+3u)<<8u)|(gb(bp+4u)<<16u)|(gb(bp+5u)<<24u);let qb=bp+6u;let aB=b*32u;for(var j=0u;j<16u;j++){let qsj=gb(qb+j);let lo=i32((qsj&0xFu)|(((qh>>j)&1u)<<4u))-16;let hi=i32((qsj>>4u)|(((qh>>(j+16u))&1u)<<4u))-16;acc=acc+d*f32(lo)*act[aB+j]+d*f32(hi)*act[aB+j+16u];}}o[p.z+n]=acc;}`;
-const Q8=`@group(0)@binding(0)var<storage,read>rb:array<u32>;@group(0)@binding(1)var<storage,read>act:array<f32>;@group(0)@binding(2)var<storage,read_write>o:array<f32>;@group(0)@binding(3)var<uniform>p:vec4<u32>;
-fn gb(i:u32)->u32{return (rb[i>>2u]>>((i&3u)*8u))&0xffu;}
-@compute @workgroup_size(64)fn main(@builtin(global_invocation_id)g:vec3<u32>){let n=g.x;let N=p.x;let K=p.y;if(n>=N){return;}let nb=K/32u;let rB=n*nb*34u;var acc=0.0;for(var b=0u;b<nb;b++){let bp=rB+b*34u;let d=unpack2x16float(gb(bp)|(gb(bp+1u)<<8u)).x;let qb=bp+2u;let aB=b*32u;for(var i=0u;i<32u;i++){let q=(i32(gb(qb+i)<<24u))>>24u;acc=acc+d*f32(q)*act[aB+i];}}o[p.z+n]=acc;}`;
-const FZ=`@group(0)@binding(0)var<storage,read>W:array<f32>;@group(0)@binding(1)var<storage,read>x:array<f32>;@group(0)@binding(2)var<storage,read_write>y:array<f32>;@group(0)@binding(3)var<uniform>p:vec4<u32>;
-@compute @workgroup_size(64)fn main(@builtin(global_invocation_id)g:vec3<u32>){let n=g.x;let N=p.x;let K=p.y;if(n>=N){return;}var a=0.0;let b=n*K;for(var k=0u;k<K;k++){a=a+W[b+k]*x[k];}y[p.z+n]=a;}`;
-const ADD=`@group(0)@binding(0)var<storage,read>a:array<f32>;@group(0)@binding(1)var<storage,read>b:array<f32>;@group(0)@binding(2)var<storage,read_write>y:array<f32>;@group(0)@binding(3)var<uniform>p:vec4<u32>;
-@compute @workgroup_size(64)fn main(@builtin(global_invocation_id)g:vec3<u32>){let i=g.x;if(i>=p.x){return;}y[i]=a[i]+b[i];}`;
-const RMS=`@group(0)@binding(0)var<storage,read>x:array<f32>;@group(0)@binding(1)var<storage,read>w:array<f32>;@group(0)@binding(2)var<storage,read_write>y:array<f32>;@group(0)@binding(3)var<uniform>p:vec4<f32>;
-@compute @workgroup_size(1)fn main(){let N=u32(p.x);var ss=0.0;for(var i=0u;i<N;i++){ss=ss+x[i]*x[i];}let s=1.0/sqrt(ss/p.x+p.y);for(var i=0u;i<N;i++){y[i]=x[i]*s*w[i];}}`;
-const ROPE=`@group(0)@binding(0)var<storage,read>x:array<f32>;@group(0)@binding(1)var<storage,read_write>y:array<f32>;@group(0)@binding(2)var<uniform>a:vec4<f32>;@group(0)@binding(3)var<uniform>b:vec4<f32>;
-@compute @workgroup_size(64)fn main(@builtin(global_invocation_id)g:vec3<u32>){let hd=u32(a.x);let nR=u32(a.y);let nh=u32(a.z);let pos=a.w;let half=nR/2u;let idx=g.x;if(idx>=nh*half){return;}let head=idx/half;let ic=idx%half;let base=head*hd;let ts=pow(b.x,-2.0/a.y);let th=pos*pow(ts,f32(ic));let c=cos(th);let s=sin(th);let x0=x[base+ic];let x1=x[base+ic+half];y[base+ic]=x0*c-x1*s;y[base+ic+half]=x0*s+x1*c;}`;
-const ATTN=`@group(0)@binding(0)var<storage,read>q:array<f32>;@group(0)@binding(1)var<storage,read>kc:array<f32>;@group(0)@binding(2)var<storage,read>vc:array<f32>;@group(0)@binding(3)var<storage,read_write>ctx:array<f32>;@group(0)@binding(4)var<uniform>a:vec4<u32>;@group(0)@binding(5)var<uniform>b:vec4<f32>;
-@compute @workgroup_size(64)fn main(@builtin(global_invocation_id)g:vec3<u32>){let nh=a.x;let hd=a.y;let cur=a.z;let kv=a.w;let scale=b.x;let grp=u32(b.y);let hh=g.x;if(hh>=nh){return;}let kvh=hh/grp;let qo=hh*hd;let ko=kvh*hd;var m=-3.0e38;var l=0.0;var acc:array<f32,128>;for(var d=0u;d<hd;d++){acc[d]=0.0;}for(var s=0u;s<=cur;s++){var sc=0.0;for(var d=0u;d<hd;d++){sc=sc+q[qo+d]*kc[s*kv+ko+d];}sc=sc*scale;let mn=max(m,sc);let cr=exp(m-mn);let pr=exp(sc-mn);l=l*cr+pr;for(var d=0u;d<hd;d++){acc[d]=acc[d]*cr+pr*vc[s*kv+ko+d];}m=mn;}for(var d=0u;d<hd;d++){ctx[qo+d]=acc[d]/l;}}`;
-const SWI=`@group(0)@binding(0)var<storage,read>g:array<f32>;@group(0)@binding(1)var<storage,read>u:array<f32>;@group(0)@binding(2)var<storage,read_write>y:array<f32>;@group(0)@binding(3)var<uniform>p:vec4<u32>;
-@compute @workgroup_size(64)fn main(@builtin(global_invocation_id)gi:vec3<u32>){let i=gi.x;if(i>=p.x){return;}let v=g[i];y[i]=(v/(1.0+exp(-v)))*u[i];}`;
-
-let dev, P, pool = [], pidx = 0;
-const pipe = (c) => { const m = dev.createShaderModule({ code: c }); return dev.createComputePipeline({ layout: "auto", compute: { module: m, entryPoint: "main" } }); };
-const u4 = (v) => { const b = pool[pidx++]; dev.queue.writeBuffer(b, 0, new Uint32Array([...v, 0, 0, 0, 0].slice(0, 4))); return b; };
-const f4 = (v) => { const b = pool[pidx++]; dev.queue.writeBuffer(b, 0, new Float32Array([...v, 0, 0, 0, 0].slice(0, 4))); return b; };
-const sbuf = (n) => dev.createBuffer({ size: Math.max(4, n * 4), usage: GPUBufferUsage.STORAGE | GPUBufferUsage.COPY_SRC | GPUBufferUsage.COPY_DST });
-const wF = (a) => { const b = dev.createBuffer({ size: Math.max(4, a.byteLength), usage: GPUBufferUsage.STORAGE | GPUBufferUsage.COPY_DST }); dev.queue.writeBuffer(b, 0, a); return b; };
-function disp(enc, pl, bufs, groups) { const bg = dev.createBindGroup({ layout: pl.getBindGroupLayout(0), entries: bufs.map((b, i) => ({ binding: i, resource: { buffer: b } })) }); const pa = enc.beginComputePass(); pa.setPipeline(pl); pa.setBindGroup(0, bg); pa.dispatchWorkgroups(groups); pa.end(); }
-const G = (n) => Math.ceil(n / 64);
-const fmt = (s) => s < 10 ? s.toFixed(2) + "s" : s.toFixed(1) + "s";
-
-async function run() {
-  $("go").disabled = true; pidx = 0; $("tok").textContent = "";
-  for (const id of ["s-ttfb", "s-ttft", "s-crit", "s-thru"]) $(id).textContent = "—";
-  const bps = +$("link").value;
-  const url = HOLO + (bps ? `?bps=${bps}` : "");
-  const adapter = await navigator.gpu.requestAdapter(); dev = await adapter.requestDevice();
-  P = { q5: pipe(Q5), q8: pipe(Q8), f: pipe(FZ), add: pipe(ADD), rms: pipe(RMS), rope: pipe(ROPE), attn: pipe(ATTN), swi: pipe(SWI) };
-  for (let i = 0; i < 1024; i++) pool.push(dev.createBuffer({ size: 16, usage: GPUBufferUsage.UNIFORM | GPUBufferUsage.COPY_DST }));
-
-  let bytes = 0, ttfb = 0; const t0 = performance.now();
-  const range = async (start, len) => {
-    const r = await fetch(url, { headers: { Range: `bytes=${start}-${start + len - 1}` } });
-    const ab = await r.arrayBuffer(); bytes += ab.byteLength;
-    if (!ttfb && start > 1000) ttfb = performance.now() - t0;     // first weight-body block
-    return new Uint8Array(ab);
-  };
-
-  $("status").textContent = "opening .holo (header + directory)…";
-  const H = await openHoloStream(range);
-  const hh = parseGgufHeader(H.headerBytes), tdir = {}; for (const x of hh.tensors) tdir[x.name] = { name: x.name, dims: x.dims, type: x.ggmlType };
-  const name2k = new Map(H.order.map(o => [o.name, o.kappa]));
-  const tensors = hh.tensors.map(x => ({ name: x.name, dims: x.dims, type: x.ggmlType, typeName: GGML_TYPE_NAME[x.ggmlType] || String(x.ggmlType), kappa: "sha256:" + name2k.get(x.name) }));
-  const plan = { format: "gguf-forge/1", arch: hh.meta["general.architecture"], meta: hh.meta, tensors };
-  const graph = synthesizeGraph(plan), S = graph.stats;
-  const D = S.n_embd, NH = S.n_head, NHKV = S.n_head_kv, HD = S.head_dim, EPS = S.eps, FREQ = S.freq_base;
-  const KV = NHKV * HD, QD = NH * HD, scale = 1 / Math.sqrt(HD), grp = NH / NHKV, FF = tdir["blk.0.ffn_gate.weight"].dims[1];
-  const dimsNK = (n) => { const d = tdir[n].dims; return [d.length > 1 ? d[1] : 1, d[0]]; };
-
-  // STREAM weights in first-use order, verify per block, upload — DEFER token_embd
-  const teName = "token_embd.weight", teK = name2k.get(teName), teT = tdir[teName];
-  const lmName = tdir["output.weight"] ? "output.weight" : teName, lmT = tdir[lmName], [lmN, lmK] = dimsNK(lmName), vocab = lmN;
-  const W = {}, lmChunks = [], raw32 = (b) => wF(new Uint32Array(b.slice().buffer));
-  const verify = async (b, hex) => { const d = new Uint8Array(await crypto.subtle.digest("SHA-256", b)); let s = ""; for (const x of d) s += x.toString(16).padStart(2, "0"); if (s !== hex) throw new Error("L5 REFUSE"); };
-  function uploadBody(name, body) {                              // slice → GPU buffer(s)
-    if (name === lmName) {                                       // lm_head: chunk (one buffer would exceed 128MB)
-      const nb = lmK / 32, bpr2 = nb * (lmT.type === GGML.Q5_0 ? 22 : 34), kind = lmT.type === GGML.Q5_0 ? "q5" : "q8";
-      const CH = Math.ceil(lmN / 100000), crows = Math.ceil(lmN / CH);
-      for (let c = 0; c < CH; c++) { const r0 = c * crows, r1 = Math.min(lmN, r0 + crows); lmChunks.push({ kind, r0, n: r1 - r0, buf: wF(new Uint32Array(body.subarray(r0 * bpr2, r1 * bpr2).slice().buffer)) }); }
-      return;
-    }
-    const key = wname(name); if (!key) return;
-    const t = tdir[name], [N, K] = dimsNK(name);
-    W[key] = t.type === GGML.Q5_0 ? { kind: "q5", buf: raw32(body), N, K } : t.type === GGML.Q8_0 ? { kind: "q8", buf: raw32(body), N, K } : { kind: "f", fBuf: wF(unpackWeight(body, t.type, N, K).data), N, K };
-  }
-
-  // critical-path bodies = everything except token_embd, contiguous in first-use order.
-  // Stream the span in a few big Range requests (not 289 tiny ones) → bandwidth-bound;
-  // slice + L5-verify + upload each body as its bytes complete.
-  const crit = H.order.filter(o => o.name !== teName).map(o => { const d = H.dir.get(o.kappa); return { name: o.name, kappa: o.kappa, off: d.off, len: d.len }; }).sort((a, b) => a.off - b.off);
-  const critTotal = crit.reduce((a, c) => a + c.len, 0);
-  // contiguous runs (the deferred token_embd's gap splits them) — fetch each run in big
-  // Range requests, never crossing the gap, so the table is never downloaded.
-  const runs = []; { let r = null; for (const c of crit) { if (r && c.off === r.end) { r.end = c.off + c.len; r.bodies.push(c); } else { r = { start: c.off, end: c.off + c.len, bodies: [c] }; runs.push(r); } } }
-  const CHUNK = 24 * 1024 * 1024; let doneB = 0;
-  for (const run of runs) {
-    let bufStart = run.start, buf = new Uint8Array(0), bi = 0;
-    while (bi < run.bodies.length) {
-      while (bufStart + buf.length < run.bodies[bi].off + run.bodies[bi].len) {
-        const from = bufStart + buf.length, part = await range(from, Math.min(CHUNK, run.end - from));
-        const nb = new Uint8Array(buf.length + part.length); nb.set(buf); nb.set(part, buf.length); buf = nb;
-      }
-      while (bi < run.bodies.length && run.bodies[bi].off + run.bodies[bi].len <= bufStart + buf.length) {
-        const c = run.bodies[bi], body = buf.subarray(c.off - bufStart, c.off - bufStart + c.len);
-        await verify(body, c.kappa); uploadBody(c.name, body); doneB += c.len; bi++;
-      }
-      const next = bi < run.bodies.length ? run.bodies[bi].off : bufStart + buf.length;
-      buf = buf.subarray(next - bufStart); bufStart = next;
-      $("bar").style.width = (100 * doneB / critTotal).toFixed(1) + "%";
-      $("status").textContent = `streaming κ-objects… ${(doneB / 1e6 | 0)} / ${(critTotal / 1e6 | 0)} MB verified (token_embd deferred)`;
-      await new Promise(r => setTimeout(r));
-    }
-  }
-
-  // token_embd: fetch only the rows we need (deferral), dequant on demand
-  const bpr = ggmlNBytes(teT.type, D), teCache = new Map();
-  const embedRow = async (tok) => { if (teCache.has(tok)) return teCache.get(tok); const rb = await H.getBodySlice(teK, tok * bpr, bpr); const f = dequantizeExact(teT.type, rb, D); teCache.set(tok, f); return f; };
-
-  // scratch + KV
-  const B = {}; for (const [n, sz] of [["h", D], ["hh", D], ["xn", D], ["q", QD], ["qb", QD], ["qr", QD], ["k", KV], ["kb", KV], ["kr", KV], ["v", KV], ["vb", KV], ["ctx", QD], ["ao", D], ["fi", D], ["xn2", D], ["g", FF], ["u", FF], ["sw", FF], ["fo", D], ["hn", D]]) B[n] = sbuf(sz);
-  const Kc = [], Vc = []; for (let L = 0; L < S.n_layer; L++) { Kc.push(sbuf(PROMPT_IDS.length * KV)); Vc.push(sbuf(PROMPT_IDS.length * KV)); }
-  const logits = sbuf(vocab);
-  const mvW = (enc, w, xB, yB, ob, N, K) => { if (w.kind === "q5") disp(enc, P.q5, [w.buf, xB, yB, u4([N, K, ob])], G(N)); else if (w.kind === "q8") disp(enc, P.q8, [w.buf, xB, yB, u4([N, K, ob])], G(N)); else disp(enc, P.f, [w.fBuf, xB, yB, u4([N, K, ob])], G(N)); };
-
-  $("status").textContent = "running the forward…";
-  let lg = null;
-  for (let pos = 0; pos < PROMPT_IDS.length; pos++) {
-    pidx = 0; dev.queue.writeBuffer(B.h, 0, await embedRow(PROMPT_IDS[pos]));
-    const enc = dev.createCommandEncoder(); const need = pos === PROMPT_IDS.length - 1;
-    for (let L = 0; L < S.n_layer; L++) {
-      const w = (s) => W[`l${L}.${s}`];
-      disp(enc, P.rms, [B.h, w("an").fBuf, B.xn, f4([D, EPS])], 1);
-      mvW(enc, w("wq"), B.xn, B.q, 0, QD, D); disp(enc, P.add, [B.q, w("bq").fBuf, B.qb, u4([QD])], G(QD));
-      mvW(enc, w("wk"), B.xn, B.k, 0, KV, D); disp(enc, P.add, [B.k, w("bk").fBuf, B.kb, u4([KV])], G(KV));
-      mvW(enc, w("wv"), B.xn, B.v, 0, KV, D); disp(enc, P.add, [B.v, w("bv").fBuf, B.vb, u4([KV])], G(KV));
-      disp(enc, P.rope, [B.qb, B.qr, f4([HD, HD, NH, pos]), f4([FREQ])], G(NH * HD / 2));
-      disp(enc, P.rope, [B.kb, B.kr, f4([HD, HD, NHKV, pos]), f4([FREQ])], G(NHKV * HD / 2));
-      enc.copyBufferToBuffer(B.kr, 0, Kc[L], pos * KV * 4, KV * 4);
-      enc.copyBufferToBuffer(B.vb, 0, Vc[L], pos * KV * 4, KV * 4);
-      disp(enc, P.attn, [B.qr, Kc[L], Vc[L], B.ctx, u4([NH, HD, pos, KV]), f4([scale, grp])], G(NH));
-      mvW(enc, w("wo"), B.ctx, B.ao, 0, D, QD);
-      disp(enc, P.add, [B.h, B.ao, B.fi, u4([D])], G(D));
-      disp(enc, P.rms, [B.fi, w("fn").fBuf, B.xn2, f4([D, EPS])], 1);
-      mvW(enc, w("gate"), B.xn2, B.g, 0, FF, D); mvW(enc, w("up"), B.xn2, B.u, 0, FF, D);
-      disp(enc, P.swi, [B.g, B.u, B.sw, u4([FF])], G(FF));
-      mvW(enc, w("down"), B.sw, B.fo, 0, D, FF);
-      disp(enc, P.add, [B.fi, B.fo, B.hh, u4([D])], G(D));
-      enc.copyBufferToBuffer(B.hh, 0, B.h, 0, D * 4);
-    }
-    if (need) {
-      disp(enc, P.rms, [B.h, W["fnorm"].fBuf, B.hn, f4([D, EPS])], 1);
-      for (const ch of lmChunks) disp(enc, P[ch.kind], [ch.buf, B.hn, logits, u4([ch.n, lmK, ch.r0])], G(ch.n));
-      const rb = dev.createBuffer({ size: vocab * 4, usage: GPUBufferUsage.COPY_DST | GPUBufferUsage.MAP_READ });
-      enc.copyBufferToBuffer(logits, 0, rb, 0, vocab * 4); dev.queue.submit([enc.finish()]);
-      await rb.mapAsync(GPUMapMode.READ); const a = new Float32Array(rb.getMappedRange().slice(0)); rb.unmap();
-      let am = 0; for (let i = 1; i < vocab; i++) if (a[i] > a[am]) am = i;
-      const tok = makeTokenizer(H.headerBytes);
-      const ttft = (performance.now() - t0) / 1000;
-      $("tok").innerHTML = `<b>${tok.decode([am])}</b>`;
-      $("s-ttfb").textContent = fmt(ttfb / 1000);
-      $("s-ttft").textContent = fmt(ttft);
-      $("s-crit").textContent = (bytes / 1e6 | 0) + " MB";
-      const dl = (performance.now() - t0 - ttfb) / 1000;
-      $("s-thru").textContent = (bytes / 1e6 / Math.max(dl, 1e-3)).toFixed(0) + " MB/s";
-      const teMB = (ggmlNBytes(teT.type, teT.dims[0] * teT.dims[1]) / 1e6) | 0;
-      $("status").textContent = `done — streamed ${(bytes / 1e6 | 0)} MB & verified; token_embd ~${teMB}MB deferred (fetched ${teCache.size} rows). Token re-derives clean (L5).`;
-    } else dev.queue.submit([enc.finish()]);
-  }
-  $("go").disabled = false;
-}
-// map a GGUF tensor name → the runtime's W key
-const WMAP = { "attn_norm.weight": "an", "attn_q.weight": "wq", "attn_q.bias": "bq", "attn_k.weight": "wk", "attn_k.bias": "bk", "attn_v.weight": "wv", "attn_v.bias": "bv", "attn_output.weight": "wo", "ffn_norm.weight": "fn", "ffn_gate.weight": "gate", "ffn_up.weight": "up", "ffn_down.weight": "down" };
-function wname(n) {
-  if (n === "output_norm.weight") return "fnorm";
-  if (n === "output.weight" || n === "token_embd.weight") return null;   // lm_head chunked / embed deferred
-  const m = n.match(/^blk\.(\d+)\.(.+)$/);
-  return m && WMAP[m[2]] ? `l${m[1]}.${WMAP[m[2]]}` : null;
-}
-$("go").addEventListener("click", () => run().catch(e => { $("status").textContent = "error: " + e; console.error(e); window.__err = String(e); }));
-window.__run = run;
-</script>
+version https://git-lfs.github.com/spec/v1
+oid sha256:5ba54cbff84f45410771ea09ee2eaf2ab3168124b6903e00a88daa788ace1631
+size 20160

b/1ddbebc91714c07138e154f9babcfd832b3dbf33cc4bc2108952cd9f2abf941e

@@ -1,20 +1,3 @@
-{
-  "id": "org.hologram.ui.example.form-tanstack-textarea",
-  "name": "form-tanstack-textarea",
-  "tier": "example",
-  "library": "shadcn",
-  "category": "Examples",
-  "upstream": "https://ui.shadcn.com/r/styles/new-york-v4/form-tanstack-textarea.json",
-  "did": "did:holo:sha256:a8c9d5c71f1c4caa53f3341bceb94a74292d74e097e30741420ef35aa2a7c8f2",
-  "import": "holo://sha256:afc67e59ed1825d71e539a2d4a6664b72ba19caec74211baf42f00c7d9f63fc1",
-  "integrity": "sha256-r8Z+We0YJdceU5otSmZktyuhnK7HQhG69C8Ax9n2P8E=",
-  "kappa": "sha256:a8c9d5c71f1c4caa53f3341bceb94a74292d74e097e30741420ef35aa2a7c8f2",
-  "moduleKappa": "sha256:afc67e59ed1825d71e539a2d4a6664b72ba19caec74211baf42f00c7d9f63fc1",
-  "renderExport": "default",
-  "source": "registry/new-york-v4/examples/form-tanstack-textarea.tsx",
-  "module": "vendor/components/form-tanstack-textarea.js",
-  "exports": [
-    "default"
-  ],
-  "license": "MIT"
-}
+version https://git-lfs.github.com/spec/v1
+oid sha256:547aa8560b08ce7095c3620c593dea6536e2c2a345a583ad5e5587598208d0a0
+size 904

b/1e15254bf0d64d13becddf7b3d5524c684bfb7760e2bb4bde36253347395cb59

@@ -1,7 +1,3 @@
-import emerald from './object.js';
-import { addPrefix } from '../../functions/addPrefix.js';
-
-export default ({ addBase, prefix = '' }) => {
-  const prefixedemerald = addPrefix(emerald, prefix);
-  addBase({ ...prefixedemerald });
-};
+version https://git-lfs.github.com/spec/v1
+oid sha256:95e7686297e824d57c3b7eb41c90b52c540353a0d3551ea8dc2a8624015c854d
+size 233

b/1e282ef78b88f6be9c4a12e0ffe016ae1977d5ab37c882f944c34929cb3f98f3

@@ -1,5 +1,3 @@
-export default function TypographyMuted() {
-  return (
-    <p className="text-sm text-muted-foreground">Enter your email address.</p>
-  )
-}
+version https://git-lfs.github.com/spec/v1
+oid sha256:b1b4ac7bd6e02757276a3e046008443ad0a8ec8a39cb12dca6342e37bc29b820
+size 140

b/1e3087a6dcb3ad01bb916247c344b0f9a96c5d297047f30bdc606d893be50f1f

@@ -1,21 +1,3 @@
-{
-  "id": "org.hologram.ui.chart.chart-radial-grid",
-  "name": "chart-radial-grid",
-  "tier": "chart",
-  "library": "shadcn",
-  "category": "Charts · Radial",
-  "upstream": "https://ui.shadcn.com/r/styles/new-york-v4/chart-radial-grid.json",
-  "did": "did:holo:sha256:e15a6b20f96a96dcac0528147a666952b53a69ce3794d2c1ee8967e34d27f602",
-  "import": "holo://sha256:08b01e422b9b26b5881c3895252b25a3ec9517131819e571f5e6193db9d142de",
-  "integrity": "sha256-CLAeQiubJrWIHDiVJSslo+yVFxMYGeVx9eYZPbnRQt4=",
-  "kappa": "sha256:e15a6b20f96a96dcac0528147a666952b53a69ce3794d2c1ee8967e34d27f602",
-  "moduleKappa": "sha256:08b01e422b9b26b5881c3895252b25a3ec9517131819e571f5e6193db9d142de",
-  "renderExport": "ChartRadialGrid",
-  "source": "registry/new-york-v4/charts/chart-radial-grid.tsx",
-  "module": "vendor/components/chart-radial-grid.js",
-  "exports": [
-    "description",
-    "ChartRadialGrid"
-  ],
-  "license": "MIT"
-}
+version https://git-lfs.github.com/spec/v1
+oid sha256:c661d8422f4216b85db92a4539129ca733080bdc12030465a121a52397aea3aa
+size 916

b/1e44a399093ef9e1ad59bef41a2efedbd83d7852f2b75f1b58e3f1b4517e4da4

@@ -1,20 +1,3 @@
-{
-  "id": "org.hologram.ui.example.combobox-popover",
-  "name": "combobox-popover",
-  "tier": "example",
-  "library": "shadcn",
-  "category": "Examples",
-  "upstream": "https://ui.shadcn.com/r/styles/new-york-v4/combobox-popover.json",
-  "did": "did:holo:sha256:cf1d4df5e910e703f5ee688d06b501cb4761e83dbc1d2180986ab6bf2180c8d6",
-  "import": "holo://sha256:f168d4584c5430974882ca62ce2b7daa41f1ee5bb320c3b142721fc5c27980fa",
-  "integrity": "sha256-8WjUWExUMJdIgspizit9qkHx7luzIMOxQnIfxcJ5gPo=",
-  "kappa": "sha256:cf1d4df5e910e703f5ee688d06b501cb4761e83dbc1d2180986ab6bf2180c8d6",
-  "moduleKappa": "sha256:f168d4584c5430974882ca62ce2b7daa41f1ee5bb320c3b142721fc5c27980fa",
-  "renderExport": "default",
-  "source": "registry/new-york-v4/examples/combobox-popover.tsx",
-  "module": "vendor/components/combobox-popover.js",
-  "exports": [
-    "default"
-  ],
-  "license": "MIT"
-}
+version https://git-lfs.github.com/spec/v1
+oid sha256:1ec29bffee72ba9fb5eedf1f68c8ea8689d81dcab7cf969e492b7329635e83fb
+size 874

b/1e6281215a106302322f097423b574cd621a19254d97ae7fc3c0a503a8681c6d

@@ -1,104 +1,3 @@
-// render/artifacts.js — ARTIFACTS: self-contained creations the model emits inside a message,
-// rendered live in the side panel (the Claude-desktop signature feature). Wire format (the
-// remark-directive container convention, LibreChat-compatible):
-//
-//   :::artifact{identifier="kebab-id" type="text/html" title="My page"}
-//   ```html
-//   …content…
-//   ```
-//   :::
-//
-// Types: text/html · image/svg+xml · text/markdown · application/vnd.mermaid · application/vnd.react.
-// Re-emitting the same identifier is an UPDATE (a new version). Substrate twist: every version
-// seals as its own κ-object — an artifact is a verifiable, shareable, teleportable creation.
-
-export const ARTIFACT_TYPES = ["text/html", "image/svg+xml", "text/markdown", "text/md", "application/vnd.mermaid", "application/vnd.react"];
-
-const BLOCK_RE = /:::artifact\{([^}]*)\}\s*\n([\s\S]*?)\n:::/g;
-const ATTR_RE = /(\w[\w-]*)\s*=\s*"([^"]*)"/g;
-
-export function parseArtifacts(text) {
-  const out = []; let m;
-  BLOCK_RE.lastIndex = 0;
-  while ((m = BLOCK_RE.exec(text || ""))) {
-    const attrs = {}; let a;
-    ATTR_RE.lastIndex = 0;
-    while ((a = ATTR_RE.exec(m[1]))) attrs[a[1]] = a[2];
-    let content = m[2].trim();
-    const fence = content.match(/^```[\w./+-]*\s*\n([\s\S]*?)\n```$/);
-    if (fence) content = fence[1];
-    out.push({
-      identifier: attrs.identifier || "lc-no-identifier",
-      type: attrs.type || "unknown",
-      title: attrs.title || "untitled",
-      content,
-    });
-  }
-  return out;
-}
-
-// Replace artifact blocks in message text with a compact reference marker the renderer turns
-// into an "open artifact" card (the panel owns the content).
-export function stripArtifacts(text) {
-  let i = 0;
-  return (text || "").replace(BLOCK_RE, (mm) => {
-    const arts = parseArtifacts(mm);
-    const a = arts[0]; i++;
-    return a ? `\n> ⧉ **${a.title}** · \`${a.type}\` — open in the Artifacts panel\n` : "";
-  });
-}
-
-// The instruction block that arms the model to emit artifacts (appended to the system turn when
-// artifacts are enabled). Written for small local models: explicit, short, format-exact.
-export function artifactInstructions() {
-  return [
-    "# Artifacts",
-    "When the user asks you to CREATE something self-contained (a web page, an SVG image, a diagram, a document), wrap it in an artifact block:",
-    "",
-    ':::artifact{identifier="kebab-case-id" type="text/html" title="Short title"}',
-    "```html",
-    "...the complete content...",
-    "```",
-    ":::",
-    "",
-    'Types: "text/html" (a complete page), "image/svg+xml" (an SVG), "application/vnd.mermaid" (a mermaid diagram), "text/markdown" (a document).',
-    "Rules: always complete content (never placeholders); reuse the SAME identifier when updating a previous artifact; one artifact per block.",
-  ].join("\n");
-}
-
-// Render one artifact version into a host element (preview tab). HTML/SVG render inside a
-// sandboxed iframe (no scripts escape into the app); mermaid + markdown reuse the message
-// pipeline; react sources show as highlighted code (no bundler on the substrate — honest).
-export async function renderArtifact(host, art) {
-  host.innerHTML = "";
-  const type = art.type === "text/md" ? "text/markdown" : art.type;
-  if (type === "text/html" || type === "image/svg+xml") {
-    const f = document.createElement("iframe");
-    f.setAttribute("sandbox", "allow-scripts");        // scripts run INSIDE the sandbox only; no same-origin, no top access
-    f.style.cssText = "width:100%;height:100%;border:0;background:#fff;border-radius:0 0 12px 12px";
-    f.srcdoc = type === "image/svg+xml"
-      ? `<!doctype html><body style="margin:0;display:grid;place-items:center;height:100vh;background:#fff">${art.content}</body>`
-      : art.content;
-    host.appendChild(f);
-    return;
-  }
-  if (type === "application/vnd.mermaid") {
-    const { renderMarkdown } = await import("./markdown.js");
-    const d = document.createElement("div"); d.style.cssText = "padding:14px;overflow:auto;height:100%";
-    await renderMarkdown(d, "```mermaid\n" + art.content + "\n```");
-    host.appendChild(d);
-    return;
-  }
-  if (type === "text/markdown") {
-    const { renderMarkdown } = await import("./markdown.js");
-    const d = document.createElement("div"); d.style.cssText = "padding:14px;overflow:auto;height:100%";
-    await renderMarkdown(d, art.content);
-    host.appendChild(d);
-    return;
-  }
-  // application/vnd.react and unknown types: code view only
-  const { renderMarkdown } = await import("./markdown.js");
-  const d = document.createElement("div"); d.style.cssText = "padding:14px;overflow:auto;height:100%";
-  await renderMarkdown(d, "```jsx\n" + art.content + "\n```");
-  host.appendChild(d);
-}
+version https://git-lfs.github.com/spec/v1
+oid sha256:3bd04a9f943197141611d4d5c763a97dd7337c552027d34f6a9c97fcb331855f
+size 4732

b/1e70a570b62a4fc06a5971ab7acd36a0690ffc58ddc9ce473d48be85dc4d9052

@@ -1,133 +1,3 @@
-{
- "@context": [
-  "https://www.w3.org/ns/did/v1",
-  {
-   "schema": "https://schema.org/",
-   "prov": "http://www.w3.org/ns/prov#",
-   "holo": "https://hologram.os/ns/q#",
-   "f1": "https://hologram.os/ns/f1#"
-  }
- ],
- "@type": [
-  "f1:Formalization",
-  "prov:Entity"
- ],
- "schema:name": "F1 the 𝔽₁ square toward the Riemann Hypothesis, made native to the UOR substrate",
- "f1:upstream": {
-  "@id": "https://github.com/afflom/F1",
-  "schema:name": "afflom/F1 the 𝔽₁ square with an intersection theory",
-  "schema:version": "v0.15.3",
-  "schema:license": "MIT",
-  "schema:author": "Alex Flom",
-  "f1:language": "Lean 4 (toolchain v4.16.0)"
- },
- "f1:dependsOn": {
-  "@id": "https://github.com/UOR-Foundation/UOR-Framework",
-  "schema:name": "UOR-Framework content-addressed object spaces over Z/(2^n)Z",
-  "schema:version": "v0.5.2",
-  "f1:sharedRootWith": "did:holo:sha256:f82435dab0215aa6695797d5e9ef4809f1905c015c419f085b2d42346441aad0",
-  "f1:note": "Both F1 and ATLAS96 are UOR-Framework objects on the same Z/(2^n)Z algebraic root. This is a structural kinship, not a proof link."
- },
- "f1:thesis": "Over a function field, RH follows from the Hodge index theorem's intersection-positivity on the surface C×C (Frobenius eigenvalue bound). The 𝔽₁ program seeks the analogue over ℚ: make Spec ℤ a curve over a 'field with one element', so Spec ℤ ×_𝔽₁ Spec ℤ is an arithmetic surface whose Hodge-index negativity would BE the Riemann Hypothesis. F1 names, shapes, and partially builds that square it does not construct it.",
- "f1:honesty": {
-  "convention": "universallyValid: true = established and Lean-verified; null = not asserted proven (open or conditional).",
-  "choiceFree": "Proof layer permits only `propext` and `Quot.sound`; forbids Classical.choice, `sorry`, and `native_decide`.",
-  "enforcedBy": "scripts/honesty_audit.sh CI fails if any unaudited theorem exists."
- },
- "f1:ledger": [
-  {
-   "name": "function-field-hodge",
-   "universallyValid": true,
-   "statement": "The function-field Hodge mechanism the proven template over 𝔽_q where intersection-positivity gives the eigenvalue bound.",
-   "evidence": "F1Square/ (no sorry)"
-  },
-  {
-   "name": "characteristic-1-machinery",
-   "universallyValid": true,
-   "statement": "Characteristic-1 base: the tropical κ/spectrum stack construction.",
-   "evidence": "F1Square/ (no sorry)"
-  },
-  {
-   "name": "intersection-pairing-template",
-   "universallyValid": true,
-   "statement": "The intersection-pairing template with ample class structure and parallel-pencil geometry.",
-   "evidence": "F1Square/ (no sorry)"
-  },
-  {
-   "name": "bowen-lanford-counts",
-   "universallyValid": true,
-   "statement": "Bowen–Lanford cycle counts (the prime-orbit side).",
-   "evidence": "F1Square/ (no sorry)"
-  },
-  {
-   "name": "constructive-analysis",
-   "universallyValid": true,
-   "statement": "A complete constructive analysis substrate: ℝ as Bishop regular sequences (Cauchy complete), ℂ = ℝ×ℝ, and exp/log/sin/cos built from first principles as axiom-clean diagonal limits (Machin π, accelerated Euler–Mascheroni γ).",
-   "evidence": "Analysis/ (no sorry, choice-free)"
-  },
-  {
-   "name": "zeta-re-gt-1",
-   "universallyValid": true,
-   "statement": "The complex ζ(s) for Re(s) > 1 as exact-bounded objects, with the von Mangoldt function and the prime-side explicit formula.",
-   "evidence": "F1Square/ (no sorry)"
-  },
-  {
-   "name": "li-lambda1-positive",
-   "universallyValid": true,
-   "statement": "The first Li coefficient λ₁ ≈ 0.0231 certified positive the n=1 slice of Li's criterion.",
-   "evidence": "F1Square/ (no sorry)"
-  },
-  {
-   "name": "full-li-positivity",
-   "universallyValid": null,
-   "statement": "Full Li positivity: λ_n > 0 for all n. This is EQUIVALENT to the Riemann Hypothesis.",
-   "status": "open"
-  },
-  {
-   "name": "hodge-index-negativity",
-   "universallyValid": null,
-   "statement": "The Hodge index (negative-definiteness) theorem for the square. THIS negativity is the Riemann Hypothesis. F1 encodes it as `none`.",
-   "status": "open the crux"
-  },
-  {
-   "name": "spec-z-square",
-   "universallyValid": null,
-   "statement": "The 2-dimensional self-product Spec ℤ ×_𝔽₁ Spec ℤ itself named, shaped, and partially built, NOT constructed.",
-   "status": "open"
-  }
- ],
- "f1:unlocks": {
-  "ifProven": "Sharpest possible bounds on prime distribution (smallest π(x) error term); firms up GRH-conditioned parameter choices. Breaks no cryptography; yields no new algorithm. RH is a statement THAT primes are maximally regular, not a method that exploits them.",
-  "forHologram": "No new compute primitive. κ = sha256/blake3 does not depend on RH; R96 is mod-2^n structure, not prime structure. F1's real gift to Hologram is METHODOLOGICAL: a choice-free, self-auditing, explicit-truth-status formalization the template this very object applies to ATLAS96."
- },
- "f1:bridge": {
-  "appliesTo": "did:holo:sha256:f82435dab0215aa6695797d5e9ef4809f1905c015c419f085b2d42346441aad0",
-  "terminatesAt": "did:holo:sha256:652dcc6490dabf4fdb4a713a2773079a858b2aa1490582e777e38a5c3499a6cd",
-  "links": [
-   {
-    "name": "shared-substrate",
-    "universallyValid": true,
-    "statement": "F1 and ATLAS96 are both UOR-Framework objects over Z/(2^n)Z; ATLAS96's base is the octet + κ. Real structural kinship they belong in one object graph."
-   },
-   {
-    "name": "modular-forms-kinship",
-    "universallyValid": null,
-    "statement": "The E₈ theta function is a weight-4 modular form, and modular forms ↔ L-functions ↔ ζ/RH. A TRUE pure-math kinship between ATLAS96's E₈ terminus and F1's ζ but a kinship, not a mechanism. You cannot derive one from the other in code.",
-    "status": "kinship, not a lever"
-   },
-   {
-    "name": "improves-inference",
-    "universallyValid": false,
-    "statement": "'F1/RH improves Holo Q inference' has no mechanism. RH is orthogonal to inference quality. Asserting it would be numerology."
-   }
-  ]
- },
- "f1:laws": [
-  "L1 content-address",
-  "L5 re-derivation"
- ],
- "id": "did:holo:sha256:3de6f836fa3aea4dd60b84f955a924aa4eeda2d1c4573a315aae192dd58ab539",
- "alsoKnownAs": [
-  "did:holo:blake3:f1a89ab71added102f875f09a7401c78a5a3a1701fc3ee77fa9776834366e6df"
- ]
-}
+version https://git-lfs.github.com/spec/v1
+oid sha256:ad511c1ecbac8da821454c7f599bcca16814fcabf2d1e9bcdb19df6554a3b64d
+size 6265

b/1e808de8bebfde40323472e7a6b3aa40f2e651cfc73e87f397b06b18723ff7e6

@@ -1,20 +1,3 @@
-{
-  "id": "org.hologram.ui.example.select-demo",
-  "name": "select-demo",
-  "tier": "example",
-  "library": "shadcn",
-  "category": "Examples",
-  "upstream": "https://ui.shadcn.com/r/styles/new-york-v4/select-demo.json",
-  "did": "did:holo:sha256:b9539f4e912127b34b1b49b73e40604db6cc878a4f76fffc9ded1af34d8df21b",
-  "import": "holo://sha256:3c2408a4c21cfa6de8984b6e1716de117777555bf1450e7336163d4e1f652934",
-  "integrity": "sha256-PCQIpMIc+m3omEtuFxbeEXd3VVvxRQ5zNhY9Th9lKTQ=",
-  "kappa": "sha256:b9539f4e912127b34b1b49b73e40604db6cc878a4f76fffc9ded1af34d8df21b",
-  "moduleKappa": "sha256:3c2408a4c21cfa6de8984b6e1716de117777555bf1450e7336163d4e1f652934",
-  "renderExport": "default",
-  "source": "registry/new-york-v4/examples/select-demo.tsx",
-  "module": "vendor/components/select-demo.js",
-  "exports": [
-    "default"
-  ],
-  "license": "MIT"
-}
+version https://git-lfs.github.com/spec/v1
+oid sha256:0a35eac55d0ff095da1fc67993cb5360f5aa822008923445000ab63ea82a8259
+size 849

b/1eb8f1020cd21d0924234c64fe6812e72f0809e2f6e8fd4594d73e6afd545ee5

@@ -1,38 +1,3 @@
-import * as React from "react"
-
-import { Card, CardContent } from "@/registry/new-york-v4/ui/card"
-import {
-  Carousel,
-  CarouselContent,
-  CarouselItem,
-  CarouselNext,
-  CarouselPrevious,
-} from "@/registry/new-york-v4/ui/carousel"
-
-export default function CarouselOrientation() {
-  return (
-    <Carousel
-      opts={{
-        align: "start",
-      }}
-      orientation="vertical"
-      className="w-full max-w-xs"
-    >
-      <CarouselContent className="-mt-1 h-[200px]">
-        {Array.from({ length: 5 }).map((_, index) => (
-          <CarouselItem key={index} className="pt-1 md:basis-1/2">
-            <div className="p-1">
-              <Card>
-                <CardContent className="flex items-center justify-center p-6">
-                  <span className="text-3xl font-semibold">{index + 1}</span>
-                </CardContent>
-              </Card>
-            </div>
-          </CarouselItem>
-        ))}
-      </CarouselContent>
-      <CarouselPrevious />
-      <CarouselNext />
-    </Carousel>
-  )
-}
+version https://git-lfs.github.com/spec/v1
+oid sha256:c7ce461a348faa70a3e1818786e11a6ffb3b6eb130dac960af97154a7c661262
+size 1018

b/1ee081b9ff4a193649ec9af1c672b6cb313b72bbd531fc55b3656744b3ea9ba5

@@ -1,20 +1,3 @@
-{
-  "id": "org.hologram.ui.morphing-text",
-  "name": "morphing-text",
-  "tier": "component",
-  "library": "magicui",
-  "category": "Text",
-  "upstream": "https://magicui.design/r/morphing-text.json",
-  "did": "did:holo:sha256:1fa428a633f9fd51fdb7b89e441d227fb92bfad73d66ceedc9d1b53a88a38b32",
-  "import": "holo://sha256:bbbf6a01ba791c6f3e74436ce2e575a1e4f2b51a743b5275bde608ad29de2b2c",
-  "integrity": "sha256-u79qAbp5HG8+dENs4uV1oeTytRp0O1J1veYIrSneKyw=",
-  "kappa": "sha256:1fa428a633f9fd51fdb7b89e441d227fb92bfad73d66ceedc9d1b53a88a38b32",
-  "moduleKappa": "sha256:bbbf6a01ba791c6f3e74436ce2e575a1e4f2b51a743b5275bde608ad29de2b2c",
-  "renderExport": "MorphingText",
-  "source": "components/ui/morphing-text.tsx",
-  "module": "vendor/components/morphing-text.js",
-  "exports": [
-    "MorphingText"
-  ],
-  "license": "MIT"
-}
+version https://git-lfs.github.com/spec/v1
+oid sha256:8e32925732c7fb58b29b3fff0c7ccabe2844243c6d8912e120bf3a6f9d7b6524
+size 826

b/1f24b4c0f18c1c7c8063940d3a962965d8e83c32844924b8fa4e6d17ff4e8cce

@@ -1,40 +1,3 @@
-import { AlertCircleIcon, BadgeCheckIcon, CheckIcon } from "lucide-react"
-
-import { Badge } from "@/registry/new-york-v4/ui/badge"
-
-export default function BadgeDemo() {
-  return (
-    <div className="flex flex-col items-center gap-2">
-      <div className="flex w-full flex-wrap gap-2">
-        <Badge>Badge</Badge>
-        <Badge variant="secondary">Secondary</Badge>
-        <Badge variant="destructive">Destructive</Badge>
-        <Badge variant="outline">Outline</Badge>
-      </div>
-      <div className="flex w-full flex-wrap gap-2">
-        <Badge
-          variant="secondary"
-          className="bg-blue-500 text-white dark:bg-blue-600"
-        >
-          <BadgeCheckIcon />
-          Verified
-        </Badge>
-        <Badge className="h-5 min-w-5 rounded-full px-1 font-mono tabular-nums">
-          8
-        </Badge>
-        <Badge
-          className="h-5 min-w-5 rounded-full px-1 font-mono tabular-nums"
-          variant="destructive"
-        >
-          99
-        </Badge>
-        <Badge
-          className="h-5 min-w-5 rounded-full px-1 font-mono tabular-nums"
-          variant="outline"
-        >
-          20+
-        </Badge>
-      </div>
-    </div>
-  )
-}
+version https://git-lfs.github.com/spec/v1
+oid sha256:be8d271adea8b2fcd2f900d8e8bead615ab09a0a39591edeedfc535616978b73
+size 1184

b/1f4c9e3daad4e255238b6ed619da8fee32e3ae77123196abf85151491f68ee7d

@@ -1,89 +1,3 @@
-import * as React from "react"
-import { cva, type VariantProps } from "class-variance-authority"
-import { Tabs as TabsPrimitive } from "radix-ui"
-
-import { cn } from "@/lib/utils"
-
-function Tabs({
-  className,
-  orientation = "horizontal",
-  ...props
-}: React.ComponentProps<typeof TabsPrimitive.Root>) {
-  return (
-    <TabsPrimitive.Root
-      data-slot="tabs"
-      data-orientation={orientation}
-      orientation={orientation}
-      className={cn(
-        "group/tabs flex gap-2 data-[orientation=horizontal]:flex-col",
-        className
-      )}
-      {...props}
-    />
-  )
-}
-
-const tabsListVariants = cva(
-  "group/tabs-list inline-flex w-fit items-center justify-center rounded-lg p-[3px] text-muted-foreground group-data-[orientation=horizontal]/tabs:h-9 group-data-[orientation=vertical]/tabs:h-fit group-data-[orientation=vertical]/tabs:flex-col data-[variant=line]:rounded-none",
-  {
-    variants: {
-      variant: {
-        default: "bg-muted",
-        line: "gap-1 bg-transparent",
-      },
-    },
-    defaultVariants: {
-      variant: "default",
-    },
-  }
-)
-
-function TabsList({
-  className,
-  variant = "default",
-  ...props
-}: React.ComponentProps<typeof TabsPrimitive.List> &
-  VariantProps<typeof tabsListVariants>) {
-  return (
-    <TabsPrimitive.List
-      data-slot="tabs-list"
-      data-variant={variant}
-      className={cn(tabsListVariants({ variant }), className)}
-      {...props}
-    />
-  )
-}
-
-function TabsTrigger({
-  className,
-  ...props
-}: React.ComponentProps<typeof TabsPrimitive.Trigger>) {
-  return (
-    <TabsPrimitive.Trigger
-      data-slot="tabs-trigger"
-      className={cn(
-        "relative inline-flex h-[calc(100%-1px)] flex-1 items-center justify-center gap-1.5 rounded-md border border-transparent px-2 py-1 text-sm font-medium whitespace-nowrap text-foreground/60 transition-all group-data-[orientation=vertical]/tabs:w-full group-data-[orientation=vertical]/tabs:justify-start hover:text-foreground focus-visible:border-ring focus-visible:ring-[3px] focus-visible:ring-ring/50 focus-visible:outline-1 focus-visible:outline-ring disabled:pointer-events-none disabled:opacity-50 group-data-[variant=default]/tabs-list:data-[state=active]:shadow-sm group-data-[variant=line]/tabs-list:data-[state=active]:shadow-none dark:text-muted-foreground dark:hover:text-foreground [&_svg]:pointer-events-none [&_svg]:shrink-0 [&_svg:not([class*='size-'])]:size-4",
-        "group-data-[variant=line]/tabs-list:bg-transparent group-data-[variant=line]/tabs-list:data-[state=active]:bg-transparent dark:group-data-[variant=line]/tabs-list:data-[state=active]:border-transparent dark:group-data-[variant=line]/tabs-list:data-[state=active]:bg-transparent",
-        "data-[state=active]:bg-background data-[state=active]:text-foreground dark:data-[state=active]:border-input dark:data-[state=active]:bg-input/30 dark:data-[state=active]:text-foreground",
-        "after:absolute after:bg-foreground after:opacity-0 after:transition-opacity group-data-[orientation=horizontal]/tabs:after:inset-x-0 group-data-[orientation=horizontal]/tabs:after:bottom-[-5px] group-data-[orientation=horizontal]/tabs:after:h-0.5 group-data-[orientation=vertical]/tabs:after:inset-y-0 group-data-[orientation=vertical]/tabs:after:-right-1 group-data-[orientation=vertical]/tabs:after:w-0.5 group-data-[variant=line]/tabs-list:data-[state=active]:after:opacity-100",
-        className
-      )}
-      {...props}
-    />
-  )
-}
-
-function TabsContent({
-  className,
-  ...props
-}: React.ComponentProps<typeof TabsPrimitive.Content>) {
-  return (
-    <TabsPrimitive.Content
-      data-slot="tabs-content"
-      className={cn("flex-1 outline-none", className)}
-      {...props}
-    />
-  )
-}
-
-export { Tabs, TabsList, TabsTrigger, TabsContent, tabsListVariants }
+version https://git-lfs.github.com/spec/v1
+oid sha256:93cbd908f721608d3fdd60a9f7cd4aa65b5da25283e898fbf48cfefc32a5900e
+size 3768

b/1f5670322346a1a6d37a27d42e263e65e81bc4f1b402c0655bf7c271fad277e3

@@ -1 +1,3 @@
-/*! 🌼 daisyUI 5.5.22 - MIT License */ @layer utilities{.rounded-box{border-radius:var(--radius-box)}.rounded-field{border-radius:var(--radius-field)}.rounded-selector{border-radius:var(--radius-selector)}.rounded-t-box{border-top-left-radius:var(--radius-box);border-top-right-radius:var(--radius-box)}.rounded-b-box{border-bottom-left-radius:var(--radius-box);border-bottom-right-radius:var(--radius-box)}.rounded-l-box{border-top-left-radius:var(--radius-box);border-bottom-left-radius:var(--radius-box)}.rounded-r-box{border-top-right-radius:var(--radius-box);border-bottom-right-radius:var(--radius-box)}.rounded-tl-box{border-top-left-radius:var(--radius-box)}.rounded-tr-box{border-top-right-radius:var(--radius-box)}.rounded-br-box{border-bottom-right-radius:var(--radius-box)}.rounded-bl-box{border-bottom-left-radius:var(--radius-box)}.rounded-t-field{border-top-left-radius:var(--radius-field);border-top-right-radius:var(--radius-field)}.rounded-b-field{border-bottom-left-radius:var(--radius-field);border-bottom-right-radius:var(--radius-field)}.rounded-l-field{border-top-left-radius:var(--radius-field);border-bottom-left-radius:var(--radius-field)}.rounded-r-field{border-top-right-radius:var(--radius-field);border-bottom-right-radius:var(--radius-field)}.rounded-tl-field{border-top-left-radius:var(--radius-field)}.rounded-tr-field{border-top-right-radius:var(--radius-field)}.rounded-br-field{border-bottom-right-radius:var(--radius-field)}.rounded-bl-field{border-bottom-left-radius:var(--radius-field)}.rounded-t-selector{border-top-left-radius:var(--radius-selector);border-top-right-radius:var(--radius-selector)}.rounded-b-selector{border-bottom-left-radius:var(--radius-selector);border-bottom-right-radius:var(--radius-selector)}.rounded-l-selector{border-top-left-radius:var(--radius-selector);border-bottom-left-radius:var(--radius-selector)}.rounded-r-selector{border-top-right-radius:var(--radius-selector);border-bottom-right-radius:var(--radius-selector)}.rounded-tl-selector{border-top-left-radius:var(--radius-selector)}.rounded-tr-selector{border-top-right-radius:var(--radius-selector)}.rounded-br-selector{border-bottom-right-radius:var(--radius-selector)}.rounded-bl-selector{border-bottom-left-radius:var(--radius-selector)}@media (width>=640px){.sm\:rounded-box{border-radius:var(--radius-box)}.sm\:rounded-field{border-radius:var(--radius-field)}.sm\:rounded-selector{border-radius:var(--radius-selector)}.sm\:rounded-t-box{border-top-left-radius:var(--radius-box);border-top-right-radius:var(--radius-box)}.sm\:rounded-b-box{border-bottom-left-radius:var(--radius-box);border-bottom-right-radius:var(--radius-box)}.sm\:rounded-l-box{border-top-left-radius:var(--radius-box);border-bottom-left-radius:var(--radius-box)}.sm\:rounded-r-box{border-top-right-radius:var(--radius-box);border-bottom-right-radius:var(--radius-box)}.sm\:rounded-tl-box{border-top-left-radius:var(--radius-box)}.sm\:rounded-tr-box{border-top-right-radius:var(--radius-box)}.sm\:rounded-br-box{border-bottom-right-radius:var(--radius-box)}.sm\:rounded-bl-box{border-bottom-left-radius:var(--radius-box)}.sm\:rounded-t-field{border-top-left-radius:var(--radius-field);border-top-right-radius:var(--radius-field)}.sm\:rounded-b-field{border-bottom-left-radius:var(--radius-field);border-bottom-right-radius:var(--radius-field)}.sm\:rounded-l-field{border-top-left-radius:var(--radius-field);border-bottom-left-radius:var(--radius-field)}.sm\:rounded-r-field{border-top-right-radius:var(--radius-field);border-bottom-right-radius:var(--radius-field)}.sm\:rounded-tl-field{border-top-left-radius:var(--radius-field)}.sm\:rounded-tr-field{border-top-right-radius:var(--radius-field)}.sm\:rounded-br-field{border-bottom-right-radius:var(--radius-field)}.sm\:rounded-bl-field{border-bottom-left-radius:var(--radius-field)}.sm\:rounded-t-selector{border-top-left-radius:var(--radius-selector);border-top-right-radius:var(--radius-selector)}.sm\:rounded-b-selector{border-bottom-left-radius:var(--radius-selector);border-bottom-right-radius:var(--radius-selector)}.sm\:rounded-l-selector{border-top-left-radius:var(--radius-selector);border-bottom-left-radius:var(--radius-selector)}.sm\:rounded-r-selector{border-top-right-radius:var(--radius-selector);border-bottom-right-radius:var(--radius-selector)}.sm\:rounded-tl-selector{border-top-left-radius:var(--radius-selector)}.sm\:rounded-tr-selector{border-top-right-radius:var(--radius-selector)}.sm\:rounded-br-selector{border-bottom-right-radius:var(--radius-selector)}.sm\:rounded-bl-selector{border-bottom-left-radius:var(--radius-selector)}}@media (width>=768px){.md\:rounded-box{border-radius:var(--radius-box)}.md\:rounded-field{border-radius:var(--radius-field)}.md\:rounded-selector{border-radius:var(--radius-selector)}.md\:rounded-t-box{border-top-left-radius:var(--radius-box);border-top-right-radius:var(--radius-box)}.md\:rounded-b-box{border-bottom-left-radius:var(--radius-box);border-bottom-right-radius:var(--radius-box)}.md\:rounded-l-box{border-top-left-radius:var(--radius-box);border-bottom-left-radius:var(--radius-box)}.md\:rounded-r-box{border-top-right-radius:var(--radius-box);border-bottom-right-radius:var(--radius-box)}.md\:rounded-tl-box{border-top-left-radius:var(--radius-box)}.md\:rounded-tr-box{border-top-right-radius:var(--radius-box)}.md\:rounded-br-box{border-bottom-right-radius:var(--radius-box)}.md\:rounded-bl-box{border-bottom-left-radius:var(--radius-box)}.md\:rounded-t-field{border-top-left-radius:var(--radius-field);border-top-right-radius:var(--radius-field)}.md\:rounded-b-field{border-bottom-left-radius:var(--radius-field);border-bottom-right-radius:var(--radius-field)}.md\:rounded-l-field{border-top-left-radius:var(--radius-field);border-bottom-left-radius:var(--radius-field)}.md\:rounded-r-field{border-top-right-radius:var(--radius-field);border-bottom-right-radius:var(--radius-field)}.md\:rounded-tl-field{border-top-left-radius:var(--radius-field)}.md\:rounded-tr-field{border-top-right-radius:var(--radius-field)}.md\:rounded-br-field{border-bottom-right-radius:var(--radius-field)}.md\:rounded-bl-field{border-bottom-left-radius:var(--radius-field)}.md\:rounded-t-selector{border-top-left-radius:var(--radius-selector);border-top-right-radius:var(--radius-selector)}.md\:rounded-b-selector{border-bottom-left-radius:var(--radius-selector);border-bottom-right-radius:var(--radius-selector)}.md\:rounded-l-selector{border-top-left-radius:var(--radius-selector);border-bottom-left-radius:var(--radius-selector)}.md\:rounded-r-selector{border-top-right-radius:var(--radius-selector);border-bottom-right-radius:var(--radius-selector)}.md\:rounded-tl-selector{border-top-left-radius:var(--radius-selector)}.md\:rounded-tr-selector{border-top-right-radius:var(--radius-selector)}.md\:rounded-br-selector{border-bottom-right-radius:var(--radius-selector)}.md\:rounded-bl-selector{border-bottom-left-radius:var(--radius-selector)}}@media (width>=1024px){.lg\:rounded-box{border-radius:var(--radius-box)}.lg\:rounded-field{border-radius:var(--radius-field)}.lg\:rounded-selector{border-radius:var(--radius-selector)}.lg\:rounded-t-box{border-top-left-radius:var(--radius-box);border-top-right-radius:var(--radius-box)}.lg\:rounded-b-box{border-bottom-left-radius:var(--radius-box);border-bottom-right-radius:var(--radius-box)}.lg\:rounded-l-box{border-top-left-radius:var(--radius-box);border-bottom-left-radius:var(--radius-box)}.lg\:rounded-r-box{border-top-right-radius:var(--radius-box);border-bottom-right-radius:var(--radius-box)}.lg\:rounded-tl-box{border-top-left-radius:var(--radius-box)}.lg\:rounded-tr-box{border-top-right-radius:var(--radius-box)}.lg\:rounded-br-box{border-bottom-right-radius:var(--radius-box)}.lg\:rounded-bl-box{border-bottom-left-radius:var(--radius-box)}.lg\:rounded-t-field{border-top-left-radius:var(--radius-field);border-top-right-radius:var(--radius-field)}.lg\:rounded-b-field{border-bottom-left-radius:var(--radius-field);border-bottom-right-radius:var(--radius-field)}.lg\:rounded-l-field{border-top-left-radius:var(--radius-field);border-bottom-left-radius:var(--radius-field)}.lg\:rounded-r-field{border-top-right-radius:var(--radius-field);border-bottom-right-radius:var(--radius-field)}.lg\:rounded-tl-field{border-top-left-radius:var(--radius-field)}.lg\:rounded-tr-field{border-top-right-radius:var(--radius-field)}.lg\:rounded-br-field{border-bottom-right-radius:var(--radius-field)}.lg\:rounded-bl-field{border-bottom-left-radius:var(--radius-field)}.lg\:rounded-t-selector{border-top-left-radius:var(--radius-selector);border-top-right-radius:var(--radius-selector)}.lg\:rounded-b-selector{border-bottom-left-radius:var(--radius-selector);border-bottom-right-radius:var(--radius-selector)}.lg\:rounded-l-selector{border-top-left-radius:var(--radius-selector);border-bottom-left-radius:var(--radius-selector)}.lg\:rounded-r-selector{border-top-right-radius:var(--radius-selector);border-bottom-right-radius:var(--radius-selector)}.lg\:rounded-tl-selector{border-top-left-radius:var(--radius-selector)}.lg\:rounded-tr-selector{border-top-right-radius:var(--radius-selector)}.lg\:rounded-br-selector{border-bottom-right-radius:var(--radius-selector)}.lg\:rounded-bl-selector{border-bottom-left-radius:var(--radius-selector)}}@media (width>=1280px){.xl\:rounded-box{border-radius:var(--radius-box)}.xl\:rounded-field{border-radius:var(--radius-field)}.xl\:rounded-selector{border-radius:var(--radius-selector)}.xl\:rounded-t-box{border-top-left-radius:var(--radius-box);border-top-right-radius:var(--radius-box)}.xl\:rounded-b-box{border-bottom-left-radius:var(--radius-box);border-bottom-right-radius:var(--radius-box)}.xl\:rounded-l-box{border-top-left-radius:var(--radius-box);border-bottom-left-radius:var(--radius-box)}.xl\:rounded-r-box{border-top-right-radius:var(--radius-box);border-bottom-right-radius:var(--radius-box)}.xl\:rounded-tl-box{border-top-left-radius:var(--radius-box)}.xl\:rounded-tr-box{border-top-right-radius:var(--radius-box)}.xl\:rounded-br-box{border-bottom-right-radius:var(--radius-box)}.xl\:rounded-bl-box{border-bottom-left-radius:var(--radius-box)}.xl\:rounded-t-field{border-top-left-radius:var(--radius-field);border-top-right-radius:var(--radius-field)}.xl\:rounded-b-field{border-bottom-left-radius:var(--radius-field);border-bottom-right-radius:var(--radius-field)}.xl\:rounded-l-field{border-top-left-radius:var(--radius-field);border-bottom-left-radius:var(--radius-field)}.xl\:rounded-r-field{border-top-right-radius:var(--radius-field);border-bottom-right-radius:var(--radius-field)}.xl\:rounded-tl-field{border-top-left-radius:var(--radius-field)}.xl\:rounded-tr-field{border-top-right-radius:var(--radius-field)}.xl\:rounded-br-field{border-bottom-right-radius:var(--radius-field)}.xl\:rounded-bl-field{border-bottom-left-radius:var(--radius-field)}.xl\:rounded-t-selector{border-top-left-radius:var(--radius-selector);border-top-right-radius:var(--radius-selector)}.xl\:rounded-b-selector{border-bottom-left-radius:var(--radius-selector);border-bottom-right-radius:var(--radius-selector)}.xl\:rounded-l-selector{border-top-left-radius:var(--radius-selector);border-bottom-left-radius:var(--radius-selector)}.xl\:rounded-r-selector{border-top-right-radius:var(--radius-selector);border-bottom-right-radius:var(--radius-selector)}.xl\:rounded-tl-selector{border-top-left-radius:var(--radius-selector)}.xl\:rounded-tr-selector{border-top-right-radius:var(--radius-selector)}.xl\:rounded-br-selector{border-bottom-right-radius:var(--radius-selector)}.xl\:rounded-bl-selector{border-bottom-left-radius:var(--radius-selector)}}@media (width>=1536px){.\32 xl\:rounded-box{border-radius:var(--radius-box)}.\32 xl\:rounded-field{border-radius:var(--radius-field)}.\32 xl\:rounded-selector{border-radius:var(--radius-selector)}.\32 xl\:rounded-t-box{border-top-left-radius:var(--radius-box);border-top-right-radius:var(--radius-box)}.\32 xl\:rounded-b-box{border-bottom-left-radius:var(--radius-box);border-bottom-right-radius:var(--radius-box)}.\32 xl\:rounded-l-box{border-top-left-radius:var(--radius-box);border-bottom-left-radius:var(--radius-box)}.\32 xl\:rounded-r-box{border-top-right-radius:var(--radius-box);border-bottom-right-radius:var(--radius-box)}.\32 xl\:rounded-tl-box{border-top-left-radius:var(--radius-box)}.\32 xl\:rounded-tr-box{border-top-right-radius:var(--radius-box)}.\32 xl\:rounded-br-box{border-bottom-right-radius:var(--radius-box)}.\32 xl\:rounded-bl-box{border-bottom-left-radius:var(--radius-box)}.\32 xl\:rounded-t-field{border-top-left-radius:var(--radius-field);border-top-right-radius:var(--radius-field)}.\32 xl\:rounded-b-field{border-bottom-left-radius:var(--radius-field);border-bottom-right-radius:var(--radius-field)}.\32 xl\:rounded-l-field{border-top-left-radius:var(--radius-field);border-bottom-left-radius:var(--radius-field)}.\32 xl\:rounded-r-field{border-top-right-radius:var(--radius-field);border-bottom-right-radius:var(--radius-field)}.\32 xl\:rounded-tl-field{border-top-left-radius:var(--radius-field)}.\32 xl\:rounded-tr-field{border-top-right-radius:var(--radius-field)}.\32 xl\:rounded-br-field{border-bottom-right-radius:var(--radius-field)}.\32 xl\:rounded-bl-field{border-bottom-left-radius:var(--radius-field)}.\32 xl\:rounded-t-selector{border-top-left-radius:var(--radius-selector);border-top-right-radius:var(--radius-selector)}.\32 xl\:rounded-b-selector{border-bottom-left-radius:var(--radius-selector);border-bottom-right-radius:var(--radius-selector)}.\32 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+version https://git-lfs.github.com/spec/v1
+oid sha256:50a2661ec98e0d012be250936d0a6fdcef2fbc111042c78baca8363af9c78b81
+size 14079

b/1fa7589bae3567ddf321b209bcd8ac5c08b031e42a3dcbd44281b5e9f618cd5b

@@ -1,101 +1,3 @@
-"use client"
-
-import { TrendingUp } from "lucide-react"
-import { LabelList, 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 with a label"
-
-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 ChartRadialLabel() {
-  return (
-    <Card className="flex flex-col">
-      <CardHeader className="items-center pb-0">
-        <CardTitle>Radial Chart - Label</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}
-            startAngle={-90}
-            endAngle={380}
-            innerRadius={30}
-            outerRadius={110}
-          >
-            <ChartTooltip
-              cursor={false}
-              content={<ChartTooltipContent hideLabel nameKey="browser" />}
-            />
-            <RadialBar dataKey="visitors" background>
-              <LabelList
-                position="insideStart"
-                dataKey="browser"
-                className="fill-white capitalize mix-blend-luminosity"
-                fontSize={11}
-              />
-            </RadialBar>
-          </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>
-  )
-}
+version https://git-lfs.github.com/spec/v1
+oid sha256:104be078d10b6d1a11fef591b2bbb10e1e0af1fecf9f59bdadfcbeec0a3de56e
+size 2745

b/1fbb6601eb301afee66f7d512198538ea4a9455651cc9749826f65ee6ccd5cc4

@@ -1,20 +1,3 @@
-{
-  "id": "org.hologram.ui.example.item-variant",
-  "name": "item-variant",
-  "tier": "example",
-  "library": "shadcn",
-  "category": "Examples",
-  "upstream": "https://ui.shadcn.com/r/styles/new-york-v4/item-variant.json",
-  "did": "did:holo:sha256:cf403f816dffced13453654d2e8cc1c7a264560d1c3528da4e5aee292581f189",
-  "import": "holo://sha256:405f8368c2b389433a74223ca225d4329951be52765980a3051cfea28fa9b6ce",
-  "integrity": "sha256-QF+DaMKziUM6dCI8oiXUMplRvlJ2WYCjBRz+oo+pts4=",
-  "kappa": "sha256:cf403f816dffced13453654d2e8cc1c7a264560d1c3528da4e5aee292581f189",
-  "moduleKappa": "sha256:405f8368c2b389433a74223ca225d4329951be52765980a3051cfea28fa9b6ce",
-  "renderExport": "default",
-  "source": "registry/new-york-v4/examples/item-variant.tsx",
-  "module": "vendor/components/item-variant.js",
-  "exports": [
-    "default"
-  ],
-  "license": "MIT"
-}
+version https://git-lfs.github.com/spec/v1
+oid sha256:5627833a9cde3e8004af1f3f9ac2708639fa6b3089c4462fb9e385a4e8cb7634
+size 854

b/1fdbfb228aeca30bf91c8bda1b713192e12086578b3c038cabead062dcd78d36

@@ -1,66 +1,3 @@
-import * as React from "react"
-import { cva, type VariantProps } from "class-variance-authority"
-
-import { cn } from "@/lib/utils"
-
-const alertVariants = cva(
-  "relative grid w-full grid-cols-[0_1fr] items-start gap-y-0.5 rounded-lg border px-4 py-3 text-sm has-[>svg]:grid-cols-[calc(var(--spacing)*4)_1fr] has-[>svg]:gap-x-3 [&>svg]:size-4 [&>svg]:translate-y-0.5 [&>svg]:text-current",
-  {
-    variants: {
-      variant: {
-        default: "bg-card text-card-foreground",
-        destructive:
-          "bg-card text-destructive *:data-[slot=alert-description]:text-destructive/90 [&>svg]:text-current",
-      },
-    },
-    defaultVariants: {
-      variant: "default",
-    },
-  }
-)
-
-function Alert({
-  className,
-  variant,
-  ...props
-}: React.ComponentProps<"div"> & VariantProps<typeof alertVariants>) {
-  return (
-    <div
-      data-slot="alert"
-      role="alert"
-      className={cn(alertVariants({ variant }), className)}
-      {...props}
-    />
-  )
-}
-
-function AlertTitle({ className, ...props }: React.ComponentProps<"div">) {
-  return (
-    <div
-      data-slot="alert-title"
-      className={cn(
-        "col-start-2 line-clamp-1 min-h-4 font-medium tracking-tight",
-        className
-      )}
-      {...props}
-    />
-  )
-}
-
-function AlertDescription({
-  className,
-  ...props
-}: React.ComponentProps<"div">) {
-  return (
-    <div
-      data-slot="alert-description"
-      className={cn(
-        "col-start-2 grid justify-items-start gap-1 text-sm text-muted-foreground [&_p]:leading-relaxed",
-        className
-      )}
-      {...props}
-    />
-  )
-}
-
-export { Alert, AlertTitle, AlertDescription }
+version https://git-lfs.github.com/spec/v1
+oid sha256:2cc59b5f7bda91c1670884b1bf46bfc8a2a6f226cef184f5762acc037188885b
+size 1614

b/201433ecce079a365af9ef7ea23a01f5fbcf769f1f0ffa2d30cb32ed1e543bb2

@@ -1,68 +1,3 @@
-// m13d-moe-stream.mjs — demand-paged decode of a REAL TRAINED MoE too big to hold in RAM.
-//
-// deepseek-v2-lite (16B total / 2.4B active, ~10 GB on disk) is range-forged (forgeGgufScan: each tensor
-// hashed once then released → peak mem = largest single tensor, NOT the model) into a κ dir + per-expert
-// expertDir. Then greedy-decoded through the ACTUAL executor with a range-reading, L5-verifying loader:
-// per token the router picks 6 of 64 experts/layer and ONLY those slices are read from the file. Nothing
-// close to the whole model is ever resident. Fidelity is shown two ways: (1) every loaded block re-derives
-// to its κ (L5), (2) the decoded text is COHERENT (a demand-paged random model gives gibberish; a real one
-// answers) — output is byte-identical to a full-resident run by construction (additive sub-range κ + L5).
-import { openSync, readSync, closeSync, statSync } from "node:fs";
-import { performance } from "node:perf_hooks";
-import { forgeGgufScan } from "./gguf-forge.mjs";
-import { synthesizeGraph } from "./gguf-forge-graph.mjs";
-import { forward } from "./gguf-forge-exec.mjs";
-import { makeTokenizer } from "./gguf-forge-tokenizer.mjs";
-import { sha256hex } from "../../../../holo-os/system/os/usr/lib/holo/holo-uor.mjs";
-
-const MODEL = ".models/deepseek-v2-lite-q4_k_m.gguf";
-const MiB = 1024 * 1024, GiB = 1024 * MiB, hexOf = (k) => String(k).split(":").pop();
-const PROMPT = "The capital of France is", NGEN = 4, BUDGET = 512 * MiB;
-
-const fd = openSync(MODEL, "r");
-const fileSize = statSync(MODEL).size;
-const readRange = (off, len) => { const b = Buffer.allocUnsafe(len); let got = 0; while (got < len) { const n = readSync(fd, b, got, len - got, off + got); if (n <= 0) break; got += n; } return new Uint8Array(b.buffer, b.byteOffset, len); };
-const headerBytes = readRange(0, Math.min(fileSize, 48 * MiB));   // metadata + all tensor infos + tokenizer live here
-
-console.log(`range-forging ${MODEL} (${(fileSize / GiB).toFixed(2)} GiB) — hashing each tensor once, releasing bytes…`);
-const t0 = performance.now();
-const scan = await forgeGgufScan(readRange, { headerBytes });      // { plan, dir, expertDir, meta, arch, rootKappa }
-const scanMs = performance.now() - t0;
-const graph = synthesizeGraph(scan.plan);
-const tok = makeTokenizer(headerBytes);
-const totalBlocks = Object.keys(scan.dir).length;
-const expertHexes = new Set(Object.values(scan.expertDir.tensors).flatMap((td) => td.experts.map((e) => hexOf(e.kappa))));
-console.log(`  arch=${scan.arch} · ${scan.plan.tensors.length} tensors · ${totalBlocks} κ-blocks (${expertHexes.size} per-expert slices) · scanned in ${(scanMs / 1000).toFixed(0)}s (peak mem ≈ largest tensor, not the ${(fileSize / GiB).toFixed(1)} GiB model)`);
-
-// range-reading, L5-verifying loader with an LRU RAM budget; counts unique blocks + peak resident
-const lru = new Map(); let resident = 0, peak = 0, streamed = 0, loads = 0; const ever = new Set();
-const load = (_store, kappa) => {
-  const hx = hexOf(kappa);
-  if (lru.has(hx)) { const b = lru.get(hx); lru.delete(hx); lru.set(hx, b); return b; }
-  const loc = scan.dir[hx]; if (!loc) throw new Error("no dir entry " + hx);
-  const b = readRange(loc.fileOffset, loc.len); streamed += b.byteLength; loads++; ever.add(hx);
-  if (sha256hex(b) !== hx) throw new Error("L5 REFUSE " + hx);
-  lru.set(hx, b); resident += b.byteLength;
-  while (resident > BUDGET && lru.size > 1) { const [ek, ev] = lru.entries().next().value; lru.delete(ek); resident -= ev.byteLength; }
-  if (resident > peak) peak = resident; return b;
-};
-
-const argmax = (a) => { let m = 0; for (let i = 1; i < a.length; i++) if (a[i] > a[m]) m = i; return m; };
-const ids = tok.encode(PROMPT, { addSpecial: false, parseSpecial: false });
-console.log(`\nprompt "${PROMPT}" → ${ids.length} tokens; greedy-decoding ${NGEN} (each: router picks experts, ONLY those stream in)…`);
-const gen = [];
-for (let i = 0; i < NGEN; i++) {
-  const tg = performance.now();
-  const nx = argmax(forward(scan.plan, graph, null, ids.concat(gen), { expertDir: scan.expertDir, load }));
-  gen.push(nx);
-  process.stdout.write(`  tok ${i + 1}/${NGEN}: id ${nx} "${tok.decode([nx]).replace(/\n/g, "\\n")}"  (${((performance.now() - tg) / 1000).toFixed(0)}s, peak ${(peak / MiB).toFixed(0)}MiB)\n`);
-}
-
-const expertsTouched = [...ever].filter((h) => expertHexes.has(h)).length;
-console.log(`\n  DECODED: "${PROMPT}${tok.decode(gen)}"`);
-console.log(`\n  demand-paging a ${(fileSize / GiB).toFixed(2)} GiB REAL MoE (deepseek-v2-lite, 16B/2.4B-active):`);
-console.log(`    peak resident       : ${(peak / MiB).toFixed(0)} MiB = ${(100 * peak / fileSize).toFixed(1)}% of the model held at once`);
-console.log(`    expert slices read  : ${expertsTouched} / ${expertHexes.size}  (${(100 * expertsTouched / expertHexes.size).toFixed(0)}% — inactive experts NEVER fetched)`);
-console.log(`    bytes streamed      : ${(streamed / MiB).toFixed(0)} MiB over ${loads} L5-verified reads`);
-console.log(`\n  → a 10 GiB model DECODED holding ${(peak / MiB).toFixed(0)} MiB resident, every block verified. Coherent text = full fidelity. This runs on a phone: capacity in the κ store, working-set on device.`);
-closeSync(fd);
+version https://git-lfs.github.com/spec/v1
+oid sha256:bbcfcaf4be65a95da6044a91a891b97433230c5c6da0ba7a2607448691ca5726
+size 5207

b/20153dcfad0dff5c1c27178dafc84bc3d810e0f51415c3509e88428ec941493c

@@ -1,50 +1,3 @@
-<!doctype html>
-<html lang="en">
-  <head>
-    <meta charset="utf-8" />
-    <meta name="viewport" content="width=device-width, initial-scale=1, viewport-fit=cover" />
-    <title>Holo Q · Infinite Intelligence, on your machine</title>
-    <meta name="description" content="A real AI thinks entirely in your browser no server, on the hologram substrate. The model is a content-addressed κ-object verified by re-derivation; conversations persist as a self-verifying Merkle-DAG; every answer is a re-derivable inference receipt (Law L5)." />
-    <meta name="theme-color" content="#08090a" />
-    <link rel="icon" href="./icon.svg" type="image/svg+xml" />
-    <link rel="manifest" href="./manifest.webmanifest" />
-    <!-- Open Graph Protocol — rich preview when the link is shared -->
-    <meta property="og:type" content="website" />
-    <meta property="og:site_name" content="Holo Q" />
-    <meta property="og:title" content="Holo Q Infinite Intelligence, on your machine" />
-    <meta property="og:description" content="A real AI thinks in your browser on the hologram substrate no server. Conversations are content-addressed κ-objects; every answer carries a re-derivable inference receipt (Law L5)." />
-    <meta property="og:image" content="icon.svg" />
-    <meta name="twitter:card" content="summary" />
-    <meta name="twitter:title" content="Holo Q Infinite Intelligence, on your machine" />
-    <meta name="twitter:description" content="A real AI thinks in your browser on the hologram substrate no server. Every answer is a re-derivable inference receipt." />
-    <link rel="stylesheet" href="./ui/app.css" />
-    <link rel="stylesheet" href="./_shared/holo-mobile.css" />
-  <link rel="icon" href="./icon.svg">
-<script>try{if("serviceWorker" in navigator)navigator.serviceWorker.register(new URL("../../root-sw.js",location.href),{type:"module"}).catch(function(){navigator.serviceWorker.register(new URL("../../root-sw-classic.js",location.href)).catch(function(){})})}catch(e){}</script>
-</head>
-  <body>
-    <!-- Entry splash: the shared Hologram "streaming" boot screen. ONE source of truth
-         for every Holo app — only the app="…" name differs. Self-contained, offline,
-         Shadow DOM; the bar auto-tracks this app's real boot time. -->
-    <script src="./holo-splash.js"></script>
-    <holo-splash app="Holo Q"></holo-splash>
-
-    <div id="app" aria-live="polite"></div>
-    <!-- Offline runtime (C3): register the whole-runtime service worker + a pill that, when the
-         network drops, confirms the app is still thinking on your machine (no-server, made literal). -->
-    <div id="offline-pill" hidden style="position:fixed;left:12px;bottom:12px;z-index:9999;display:flex;align-items:center;gap:7px;padding:6px 11px;border-radius:999px;font:600 16px/1 system-ui,sans-serif;color:#d6f5e0;background:rgba(10,30,18,.86);border:1px solid rgba(80,220,140,.35);backdrop-filter:blur(8px);box-shadow:0 4px 18px rgba(0,0,0,.4)">
-      <span style="width:7px;height:7px;border-radius:50%;background:#4ade80;box-shadow:0 0 8px #4ade80"></span>
-      <span id="offline-pill-text">offline · still thinking on your machine</span>
-    </div>
-    <script>
-      if ("serviceWorker" in navigator) navigator.serviceWorker.register("./sw.js").catch(() => {});
-      (function () {
-        var pill = document.getElementById("offline-pill");
-        var sync = function () { pill.hidden = navigator.onLine; };
-        addEventListener("online", sync); addEventListener("offline", sync); sync();
-      })();
-    </script>
-    <script src="./_shared/holo-theme.js"></script>
-    <script type="module" src="./ui/boot.js"></script>
-  </body>
-</html>
+version https://git-lfs.github.com/spec/v1
+oid sha256:bb01430040bb991fb00979ddf88e90bb0e15b114a4c31f1ef6f215d4de17813d
+size 3665

b/202d294d5997625575278176a973965301df1e9b5d35b39650f36426abf7c525

@@ -1,200 +1,3 @@
-// ui/messages.js — renders the ACTIVE THREAD of the message tree: user bubbles, assistant
-// markdown, hover actions (copy · edit · regenerate · fork · feedback · read-aloud), the
-// sibling pager for branches, and the verifiable-inference receipt card. Pure view layer —
-// every action delegates to the chat controller through `act`.
-
-import { SVG } from "./shell.js";
-import { renderMarkdown } from "../render/markdown.js";
-
-const eh = (s) => String(s).replace(/&/g, "&amp;").replace(/</g, "&lt;").replace(/>/g, "&gt;");
-const shortK = (k) => { const s = String(k || ""); const ax = s.split(":").slice(0, 2).join(":"); const h = s.split(":").pop(); return ax + ":" + (h.length > 18 ? h.slice(0, 12) + "…" + h.slice(-4) : h); };
-
-// Fallback frames if the OS motion engine (window.HoloFX, the faithful unicode-animations
-// adoption) isn't present. When it is, the streaming row uses the house `dna` spinner — the
-// shared, sharp vocabulary for generative/inference states.
-const SPIN_FRAMES = ["⠋","⠙","⠹","⠸","⠼","⠴","⠦","⠧","⠇","⠏"];
-
-export function makeMessagesView({ els, t, act, settings }) {
-  let spinTimer = null, spinHandle = null;
-  const stopSpin = () => { clearInterval(spinTimer); spinTimer = null; if (spinHandle) { spinHandle.stop(); spinHandle = null; } };
-
-  function sibPager(msg, siblings) {
-    if (siblings.length < 2) return null;
-    const i = siblings.indexOf(msg.id);
-    const d = document.createElement("span"); d.className = "sib";
-    d.innerHTML = `<button data-d="-1" aria-label="Previous version">${SVG.left1}</button><span>${i + 1}/${siblings.length}</span><button data-d="1" aria-label="Next version">${SVG.right1}</button>`;
-    d.querySelectorAll("button").forEach((b) => (b.onclick = () => act.switchSibling(msg, +b.dataset.d)));
-    return d;
-  }
-
-  function iact(title, svg, fn, cls = "") {
-    const b = document.createElement("button"); b.className = "iact " + cls; b.title = title; b.innerHTML = svg;
-    b.onclick = (e) => fn(b, e); return b;
-  }
-
-  function userRow(msg, siblings) {
-    const m = document.createElement("div"); m.className = "msg user"; m.dataset.id = msg.id;
-    const b = document.createElement("div"); b.className = "bubble"; b.textContent = msg.text; m.appendChild(b);
-    const meta = document.createElement("div"); meta.className = "meta";
-    const pager = sibPager(msg, siblings); if (pager) meta.appendChild(pager);
-    meta.appendChild(iact(t("com_ui_copy"), SVG.copy, async (btn) => { try { await navigator.clipboard.writeText(msg.text); flash(btn); } catch {} }));
-    meta.appendChild(iact(t("com_ui_edit"), SVG.edit, () => editInPlace(m, msg)));
-    m.appendChild(meta);
-    return m;
-  }
-
-  function editInPlace(rowEl, msg) {
-    const old = rowEl.querySelector(".bubble"); if (!old) return;
-    const wrap = document.createElement("div"); wrap.className = "edit-area";
-    wrap.innerHTML = `<textarea>${eh(msg.text)}</textarea><div class="row"><button class="btn" data-a="cancel">${t("com_ui_cancel")}</button><button class="btn primary" data-a="save">${t("com_ui_edit_submit")}</button></div>`;
-    old.replaceWith(wrap);
-    const ta = wrap.querySelector("textarea"); ta.focus(); ta.setSelectionRange(ta.value.length, ta.value.length);
-    wrap.querySelector('[data-a="cancel"]').onclick = () => act.rerender();
-    wrap.querySelector('[data-a="save"]').onclick = () => { const v = ta.value.trim(); if (v && v !== msg.text) act.editResubmit(msg, v); else act.rerender(); };
-    ta.onkeydown = (e) => { if (e.key === "Enter" && (e.ctrlKey || e.metaKey)) wrap.querySelector('[data-a="save"]').click(); if (e.key === "Escape") act.rerender(); };
-  }
-
-  function assistantRow(msg, siblings, { isLeaf }) {
-    const m = document.createElement("div"); m.className = "msg assistant"; m.dataset.id = msg.id;
-    if (msg.toolTrace && msg.toolTrace.length) m.appendChild(trailCard(msg));
-    const body = document.createElement("div"); body.className = "body"; m.appendChild(body);
-    if (msg.text) renderMarkdown(body, msg.text);
-    const meta = document.createElement("div"); meta.className = "meta";
-    const pager = sibPager(msg, siblings); if (pager) meta.appendChild(pager);
-    meta.appendChild(iact(t("com_ui_copy"), SVG.copy, async (btn) => { try { await navigator.clipboard.writeText(msg.text); flash(btn); } catch {} }));
-    if (isLeaf) meta.appendChild(iact(t("com_ui_regenerate"), SVG.regen, () => act.regenerate(msg)));
-    meta.appendChild(iact(t("com_ui_fork"), SVG.fork, () => act.fork(msg)));
-    meta.appendChild(iact(t("com_ui_feedback_up"), SVG.thumbU, (btn) => act.feedback(msg, "thumbsUp", btn), msg.feedback?.rating === "thumbsUp" ? "on" : ""));
-    meta.appendChild(iact(t("com_ui_feedback_down"), SVG.thumbD, (btn) => act.feedback(msg, "thumbsDown", btn), msg.feedback?.rating === "thumbsDown" ? "on" : ""));
-    if (settings.get("tts") && "speechSynthesis" in window) meta.appendChild(iact(t("com_ui_read_aloud"), SVG.speak, (btn) => act.speak(msg, btn)));
-    m.appendChild(meta);
-    if (msg.receiptKappa && settings.get("receipts") === true) m.appendChild(receiptCard(msg));   // opt-IN (clean UX default; receipts still seal underneath)
-    return m;
-  }
-
-  // The verifiable-inference receipt card (collapsed by default). Data is resolved lazily
-  // from the κ-store on first expand — the receipt body re-derives to its address (Law L5).
-  function receiptCard(msg) {
-    const el = document.createElement("div"); el.className = "receipt";
-    el.innerHTML = `<div class="rhead"><span class="rdot"></span><span class="rt">${t("com_ui_receipt_title")} ${msg.fromMemo ? `<span class="memo-chip">${t("com_ui_memo_replay")}</span>` : ""}<span class="rsub"> · ${t("com_ui_receipt_sub")}</span></span><span class="rk">${eh(shortK(msg.receiptKappa))}</span><span class="rchev">${SVG.right}</span></div><div class="rbody"></div>`;
-    const head = el.querySelector(".rhead"), bodyEl = el.querySelector(".rbody");
-    let loaded = false;
-    head.onclick = async () => {
-      el.classList.toggle("open");
-      if (loaded || !el.classList.contains("open")) return;
-      loaded = true;
-      const rec = await act.resolveReceipt(msg);
-      if (!rec) { bodyEl.innerHTML = `<div class="rverdict show bad">${t("com_ui_integrity_refused")}</div>`; return; }
-      const U = rec.body["prov:used"], G = rec.body["prov:generated"], p = rec.params || U["holo:params"];
-      const row = (lab, val) => `<div class="rrow"><div class="rlab">${lab}</div><div class="rval">${eh(String(val))}</div></div>`;
-      bodyEl.innerHTML =
-        row("receipt κ", rec.id) + row("model", U["holo:model"]) + row("engine", U["holo:engine"]) +
-        row("prompt κ", U["holo:prompt"]) + row("context κ", U["holo:context"]) + row("output κ", G["holo:outputTokens"]) +
-        row("decode", `${p.decode} · ≤${p.maxTokens} tok · rep ${p.repetitionPenalty} · ${p.template}`) +
-        `<div class="racts"><button class="rbtn go" data-a="verify">${t("com_ui_verify")}</button><button class="rbtn" data-a="rederive">${t("com_ui_rederive")}</button><button class="rbtn" data-a="copy">${t("com_ui_copy_receipt")}</button></div><div class="rverdict" data-v></div>`;
-      const vEl = bodyEl.querySelector("[data-v]");
-      bodyEl.querySelector('[data-a="verify"]').onclick = async () => {
-        const r = await act.verifyReceipt(rec);
-        vEl.className = "rverdict show " + (r.ok ? "ok" : "bad");
-        vEl.innerHTML = r.ok ? `<b>✓ ${t("com_ui_integrity_ok")}</b>` : `<b>✗ ${t("com_ui_integrity_bad")}</b> <small>${eh(shortK(r.again))} ≠ ${eh(shortK(rec.id))}</small>`;
-      };
-      bodyEl.querySelector('[data-a="rederive"]').onclick = async (e) => {
-        const btn = e.currentTarget, label = btn.textContent; btn.disabled = true; btn.textContent = "…";
-        vEl.className = "rverdict show warn"; vEl.textContent = "Re-running this exact inference, greedily…";
-        try {
-          const r = await act.reDeriveReceipt(rec, msg);
-          vEl.className = "rverdict show " + (r.ok ? "ok" : r.reason ? "warn" : "bad");
-          vEl.innerHTML = r.ok ? `<b>✓ ${t("com_ui_rederived_ok")}</b>` : r.reason ? `<b>○ ${eh(r.reason)}</b>` : `<b>✗ ${t("com_ui_rederived_bad")}</b> <small>got ${eh(shortK(r.got))} ≠ ${eh(shortK(r.want))}</small>`;
-        } catch (err) { vEl.className = "rverdict show bad"; vEl.textContent = "re-derive error: " + err; }
-        finally { btn.disabled = false; btn.textContent = label; }
-      };
-      bodyEl.querySelector('[data-a="copy"]').onclick = async () => { try { await navigator.clipboard.writeText(JSON.stringify({ id: rec.id, ...rec.body }, null, 2)); } catch {} };
-    };
-    return el;
-  }
-
-  function flash(btn) { const old = btn.innerHTML; btn.innerHTML = SVG.ok; setTimeout(() => (btn.innerHTML = old), 1100); }
-
-  // Render the whole active thread. `thread` = [{...msg}], `siblingsOf(msg)` = ordered sibling ids.
-  // Empty thread = LANDING mode: the scroller hides and the composer rises to the golden line
-  // with the greeting + suggestion chips (body.landing drives it all in CSS).
-  function render(thread, siblingsOf) {
-    stopSpin();
-    els.thread.innerHTML = "";
-    const landing = !thread.length;
-    document.body.classList.toggle("landing", landing);
-    els.greet.hidden = !landing; els.chips.hidden = !landing;
-    thread.forEach((msg, i) => {
-      const siblings = siblingsOf(msg);
-      els.thread.appendChild(msg.isCreatedByUser ? userRow(msg, siblings) : assistantRow(msg, siblings, { isLeaf: i === thread.length - 1 }));
-    });
-  }
-
-  // Streaming row: a live assistant message updated per token (markdown re-render throttled),
-  // with a live WORK TRAIL for agentic turns (tool calls appear as they happen — the Claude
-  // desktop "using tool…" feel, but each line is backed by a sealed receipt).
-  function startStream() {
-    document.body.classList.remove("landing");
-    els.greet.hidden = true; els.chips.hidden = true;
-    const m = document.createElement("div"); m.className = "msg assistant streaming";
-    m.innerHTML = `<div class="trail" hidden></div><div class="body stream"></div><div class="meta pinned"><span class="spin"></span><span class="tps" hidden><span class="bar"></span><span class="n"></span></span></div>`;
-    els.thread.appendChild(m);
-    const body = m.querySelector(".body"), spin = m.querySelector(".spin"), trailEl = m.querySelector(".trail");
-    const tpsEl = m.querySelector(".tps"), tpsBar = m.querySelector(".tps .bar"), tpsN = m.querySelector(".tps .n");
-    if (window.HoloFX) spinHandle = window.HoloFX.spin(spin, "dna");
-    else { let i = 0; spinTimer = setInterval(() => { spin.textContent = SPIN_FRAMES[i++ % SPIN_FRAMES.length]; }, 80); }
-    let lastMd = 0; const tpsHist = [];                // live tokens/sec → a braille pulse (the speed IS the signal)
-    return {
-      el: m,
-      update(text) {
-        body.textContent = text;                      // instant raw text per token
-        const now = performance.now();
-        if (now - lastMd > 400) { lastMd = now; renderMarkdown(body, text).then(() => body.classList.remove("stream")); }
-        maybeScroll();
-      },
-      // Real per-token decode telemetry (engine stats.tokps) plotted as a live braille sparkline.
-      stats(s) {
-        const v = Math.max(0, (s && s.tokps) || 0); if (!v && !tpsHist.length) return;
-        tpsHist.push(v); if (tpsHist.length > 28) tpsHist.shift();
-        tpsEl.hidden = false;
-        if (window.HoloFX) tpsBar.textContent = window.HoloFX.graph(tpsHist, { width: 14, fill: true, min: 0 });
-        tpsN.textContent = v ? Math.round(v) + " tok/s" : "";
-      },
-      trail(html) {
-        trailEl.hidden = false;
-        const d = document.createElement("div"); d.className = "trail-item"; d.innerHTML = html;
-        trailEl.appendChild(d); maybeScroll();
-      },
-      done() { stopSpin(); m.classList.remove("streaming"); m.querySelector(".meta")?.remove(); },
-    };
-  }
-
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_e=mo(Lo);function be(...e){return _e(ke(e))}import{jsx as Oo,jsxs as Vo}from"react/jsx-runtime";var No={article:I.article,div:I.div,h1:I.h1,h2:I.h2,h3:I.h3,h4:I.h4,h5:I.h5,h6:I.h6,li:I.li,p:I.p,section:I.section,span:I.span};function Yo({children:e,words:r,className:t,duration:o=100,typeSpeed:c,deleteSpeed:d,delay:a=0,pauseDelay:u=1e3,loop:f=!1,as:m="span",startOnView:y=!0,showCursor:k=!0,blinkCursor:E=!0,cursorStyle:G="line",...D}){let w=No[m],[v,P]=ce(""),[b,V]=ce(0),[x,L]=ce(0),[T,A]=ce("typing"),i=Wo(null),C=Eo(i,{amount:.3,once:!0}),R=Be(()=>r??(e?[e]:[]),[r,e]),H=R.length>1,j=c??o,J=d??j/2,Y=y?C:!0,_=Be(()=>r?r.join("\0"):e??"",[r,e]);Fe(()=>{P(""),V(0),L(0),A("typing")},[_]),Fe(()=>{let l=null;if(Y&&R.length>0){let ee=a>0&&v===""?a:T==="typing"?j:T==="deleting"?J:u;l=setTimeout(()=>{let oe=R[b]||"",q=Array.from(oe);switch(T){case"typing":x<q.length?(P(q.slice(0,x+1).join("")),L(x+1)):(H||f)&&(!(b===R.length-1)||f)&&A("pause");break;case"pause":A("deleting");break;case"deleting":if(x>0)P(q.slice(0,x-1).join("")),L(x-1);else{let X=(b+1)%R.length;V(X),A("typing")}break}},ee)}return()=>{l!==null&&clearTimeout(l)}},[Y,T,x,b,v,R,H,f,j,J,u,a]);let S=Array.from(R[b]||""),N=!f&&b===R.length-1&&x>=S.length&&T!=="deleting",K=k&&!N&&(H||f||x<S.length),Q=()=>{switch(G){case"block":return"\u258C";case"underscore":return"_";case"line":default:return"|"}};return Vo(w,{ref:i,className:be("leading-20 tracking-[-0.02em]",m==="span"&&"inline-block",t),...D,children:[v,K&&Oo("span",{className:be("inline-block",E&&"animate-blink-cursor"),children:Q()})]})}export{Yo as TypingAnimation};
+version https://git-lfs.github.com/spec/v1
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-{
-  "id": "org.hologram.ui.sonner",
-  "name": "sonner",
-  "tier": "component",
-  "library": "shadcn",
-  "category": "Feedback",
-  "upstream": "https://ui.shadcn.com/r/styles/new-york-v4/sonner.json",
-  "did": "did:holo:sha256:13ccc9b0fe4248e622f83a1d3b2f0566b72b5e04162d7d0c8db8945ecc71b55f",
-  "import": "holo://sha256:697337d93a6eed458137311c697eb8fefbcc5ffee33ec4be1cccba491bac7a62",
-  "integrity": "sha256-aXM32Tpu7UWBNzEcaX64/vvMX/7jPsS+HMy6SRusemI=",
-  "kappa": "sha256:13ccc9b0fe4248e622f83a1d3b2f0566b72b5e04162d7d0c8db8945ecc71b55f",
-  "moduleKappa": "sha256:697337d93a6eed458137311c697eb8fefbcc5ffee33ec4be1cccba491bac7a62",
-  "renderExport": "Toaster",
-  "source": "components/ui/sonner.tsx",
-  "module": "vendor/components/sonner.js",
-  "exports": [
-    "Toaster"
-  ],
-  "license": "MIT"
-}
+version https://git-lfs.github.com/spec/v1
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b/20858f7b5361ed90eeeffbd854595eee3436c019d88bb27775e5da7defc12672

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-// holo-load-delta.mjs — A2 LOAD wiring. Loads a family finetune stored as `base-κ + delta` (format
-// "holo-delta/1", produced by _delta-build.mjs) and returns the SAME { manifest, fetchTensor, info } shape
-// as holo-load2bit.loadKappaObject — so the GPU engine, KV-cache, and Q's brain loader are UNCHANGED.
-// loadKappaObject delegates here automatically when it sees the holo-delta/1 format (one seam, hidden).
-//
-// Per tensor: ref → the base block (frozen, κ identical, dedup'd in the OPFS store); whole → the stored
-// finetune block; bytedelta → base block + lossless byte-delta. Reconstruction is byte-identical to the
-// finetune's own block ⇒ perplexity = standalone (no quality gate). The win is download/storage.
-//
-// Law L5: base AND delta blocks are each κ-verified (sha256(gz)==κ) before use; both κ are named in the
-// L5-verified delta manifest, so the trust chain holds without re-hashing the reconstruction.
-import { parseDelta, applyByteDelta } from "./holo-delta.mjs";
-import { reshapeTensor, buildEngineManifest } from "./holo-load2bit.mjs";
-
-async function gunzip(u8) { const ds = new DecompressionStream("gzip"); const w = ds.writable.getWriter(); w.write(u8); w.close(); return new Uint8Array(await new Response(ds.readable).arrayBuffer()); }
-const hex = (buf) => [...new Uint8Array(buf)].map((b) => b.toString(16).padStart(2, "0")).join("");
-const kFile = (k) => String(k).replace(":", "_");   // κ "sha256:<hex>" → block file "sha256_<hex>"
-
-export async function loadDeltaObject(deltaUrl, opts = {}) {
-  const droot = String(deltaUrl).replace(/\/+$/, "");
-  const man = opts.manifest || await (await fetch(droot + "/manifest.json", { cache: "no-store" })).json();
-  const baseRoot = String(opts.baseUrl || man.base?.url || man.base?.dir || "").replace(/\/+$/, "");
-  if (!baseRoot) throw new Error("delta-load: no base location (opts.baseUrl or manifest.base.url)");
-
-  // κ-verified block fetch against a chosen root (base for frozen/base blocks, delta for delta blocks).
-  const getBlock = async (root, kappa) => {
-    const gz = new Uint8Array(await (await fetch(root + "/b/" + kFile(kappa) + ".gz", { cache: "no-store" })).arrayBuffer());
-    const got = "sha256:" + hex(await crypto.subtle.digest("SHA-256", gz));
-    if (got !== kappa) throw new Error("delta-load κ MISMATCH " + String(kappa).slice(0, 24));
-    return gunzip(gz);
-  };
-
-  const normRecs = {};                                   // {name → {N,K,fmt,fp16?,s?}} for the shared manifest builder
-  for (const [name, dr] of Object.entries(man.tensors)) normRecs[name] = dr.meta || {};
-
-  const fetchTensor = async (name) => {
-    const dr = man.tensors[name]; if (!dr) return new Uint8Array(0);
-    let raw;
-    if (dr.kind === "ref") raw = await getBlock(baseRoot, dr.kappa);                                   // frozen
-    else if (dr.kind === "whole") raw = parseDelta(await getBlock(droot, dr.delta)).bytes;             // stored whole
-    else if (dr.kind === "bytedelta") raw = applyByteDelta(await getBlock(baseRoot, dr.base), parseDelta(await getBlock(droot, dr.delta)));
-    else throw new Error("delta-load: unknown record kind " + dr.kind + " for " + name);
-    return reshapeTensor(dr.meta || {}, raw);
-  };
-
-  let e8lutData;   // E₈ LUT (if any) is a frozen base block
-  if (man.e8lut) { const b = await getBlock(baseRoot, man.e8lut.replace(/^did:holo:/, "")); e8lutData = new Float32Array(b.buffer, b.byteOffset, 2048); }
-  const manifest = buildEngineManifest(man, normRecs, e8lutData);
-  // tokenizer is the base's (finetune shares vocab); resolve a relative source against the BASE dir.
-  if (man.source && !/^https?:\/\//.test(man.source)) man.source = baseRoot + "/" + man.source;
-  return { manifest, fetchTensor, info: man };
-}
-
-export default loadDeltaObject;
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+size 3805

b/209109999ddeb25219c43e168b0ab79e82f7e11f99f0e98cf401e5ce7014a431

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-{
-  "id": "org.hologram.ui.example.form-rhf-radiogroup",
-  "name": "form-rhf-radiogroup",
-  "tier": "example",
-  "library": "shadcn",
-  "category": "Examples",
-  "upstream": "https://ui.shadcn.com/r/styles/new-york-v4/form-rhf-radiogroup.json",
-  "did": "did:holo:sha256:d1b8a8057a0903ccf1db91648052b40e377d490953c6046024f9f6a0745636ba",
-  "import": "holo://sha256:b246fda852c6360f8a37ad724d76c3edd42be31f11157ac61c2f50e75d6b6780",
-  "integrity": "sha256-skb9qFLGNg+KN61yTXbD7dQr4x8RFXrGHC9Q511rZ4A=",
-  "kappa": "sha256:d1b8a8057a0903ccf1db91648052b40e377d490953c6046024f9f6a0745636ba",
-  "moduleKappa": "sha256:b246fda852c6360f8a37ad724d76c3edd42be31f11157ac61c2f50e75d6b6780",
-  "renderExport": "default",
-  "source": "registry/new-york-v4/examples/form-rhf-radiogroup.tsx",
-  "module": "vendor/components/form-rhf-radiogroup.js",
-  "exports": [
-    "default"
-  ],
-  "license": "MIT"
-}
+version https://git-lfs.github.com/spec/v1
+oid sha256:79410a7316a1a85ee80e6947e6ec9f76076a4ff2fa7965bed4ee7a034f20b1e7
+size 889

b/2095f78819ebb914f00fdfaed8bdb290c151e7303fab7787095e21625e864435

@@ -1,20 +1,3 @@
-{
-  "id": "org.hologram.ui.example.spinner-empty",
-  "name": "spinner-empty",
-  "tier": "example",
-  "library": "shadcn",
-  "category": "Examples",
-  "upstream": "https://ui.shadcn.com/r/styles/new-york-v4/spinner-empty.json",
-  "did": "did:holo:sha256:526e38c28422fc9ae218bdc430133b6e0e42c2925c27952403fac3ee02053dc5",
-  "import": "holo://sha256:2639ff1c5f18495da1344d091f85c634e6763543ddfc287f65dd4eee95246204",
-  "integrity": "sha256-Jjn/HF8YSV2hNE0JH4XGNOZ2NUPd/Ch/Zd1O7pUkYgQ=",
-  "kappa": "sha256:526e38c28422fc9ae218bdc430133b6e0e42c2925c27952403fac3ee02053dc5",
-  "moduleKappa": "sha256:2639ff1c5f18495da1344d091f85c634e6763543ddfc287f65dd4eee95246204",
-  "renderExport": "default",
-  "source": "registry/new-york-v4/examples/spinner-empty.tsx",
-  "module": "vendor/components/spinner-empty.js",
-  "exports": [
-    "default"
-  ],
-  "license": "MIT"
-}
+version https://git-lfs.github.com/spec/v1
+oid sha256:794962945ab303a956e283e9ece1cf91ff1202fd70b161f47704887aeeb20620
+size 859

b/20a0383acfaa1a2b232c1a8cd7059947e1cc6346bff6e3627afc4568899256c1

@@ -1,96 +1,3 @@
-import React, { type ComponentPropsWithoutRef, type CSSProperties } from "react"
-
-import { cn } from "@/lib/utils"
-
-export interface ShimmerButtonProps extends ComponentPropsWithoutRef<"button"> {
-  shimmerColor?: string
-  shimmerSize?: string
-  borderRadius?: string
-  shimmerDuration?: string
-  background?: string
-  className?: string
-  children?: React.ReactNode
-}
-
-export const ShimmerButton = React.forwardRef<
-  HTMLButtonElement,
-  ShimmerButtonProps
->(
-  (
-    {
-      shimmerColor = "#ffffff",
-      shimmerSize = "0.05em",
-      shimmerDuration = "3s",
-      borderRadius = "100px",
-      background = "rgba(0, 0, 0, 1)",
-      className,
-      children,
-      ...props
-    },
-    ref
-  ) => {
-    return (
-      <button
-        style={
-          {
-            "--spread": "90deg",
-            "--shimmer-color": shimmerColor,
-            "--radius": borderRadius,
-            "--speed": shimmerDuration,
-            "--cut": shimmerSize,
-            "--bg": background,
-          } as CSSProperties
-        }
-        className={cn(
-          "group relative z-0 flex cursor-pointer items-center justify-center overflow-hidden [border-radius:var(--radius)] border border-white/10 px-6 py-3 whitespace-nowrap text-white [background:var(--bg)]",
-          "transform-gpu transition-transform duration-300 ease-in-out active:translate-y-px",
-          className
-        )}
-        ref={ref}
-        {...props}
-      >
-        {/* spark container */}
-        <div
-          className={cn(
-            "-z-30 blur-[2px]",
-            "@container-[size] absolute inset-0 overflow-visible"
-          )}
-        >
-          {/* spark */}
-          <div className="animate-shimmer-slide absolute inset-0 aspect-[1] h-[100cqh] rounded-none [mask:none]">
-            {/* spark before */}
-            <div className="animate-spin-around absolute -inset-full w-auto [translate:0_0] rotate-0 [background:conic-gradient(from_calc(270deg-(var(--spread)*0.5)),transparent_0,var(--shimmer-color)_var(--spread),transparent_var(--spread))]" />
-          </div>
-        </div>
-        {children}
-
-        {/* Highlight */}
-        <div
-          className={cn(
-            "absolute inset-0 size-full",
-
-            "rounded-2xl px-4 py-1.5 text-sm font-medium shadow-[inset_0_-8px_10px_#ffffff1f]",
-
-            // transition
-            "transform-gpu transition-all duration-300 ease-in-out",
-
-            // on hover
-            "group-hover:shadow-[inset_0_-6px_10px_#ffffff3f]",
-
-            // on click
-            "group-active:shadow-[inset_0_-10px_10px_#ffffff3f]"
-          )}
-        />
-
-        {/* backdrop */}
-        <div
-          className={cn(
-            "absolute inset-(--cut) -z-20 [border-radius:var(--radius)] [background:var(--bg)]"
-          )}
-        />
-      </button>
-    )
-  }
-)
-
-ShimmerButton.displayName = "ShimmerButton"
+version https://git-lfs.github.com/spec/v1
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+size 2846