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

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je=po(No);function ie(...e){return je(ke(e))}import{jsx as Be}from"react/jsx-runtime";function le({className:e,...t}){return Be("kbd",{"data-slot":"kbd",className:ie("pointer-events-none inline-flex h-5 w-fit min-w-5 items-center justify-center gap-1 rounded-sm bg-muted px-1 font-sans text-xs font-medium text-muted-foreground select-none","[&_svg:not([class*='size-'])]:size-3","[[data-slot=tooltip-content]_&]:bg-background/20 [[data-slot=tooltip-content]_&]:text-background dark:[[data-slot=tooltip-content]_&]:bg-background/10",e),...t})}function Fe({className:e,...t}){return Be("kbd",{"data-slot":"kbd-group",className:ie("inline-flex items-center gap-1",e),...t})}import{jsx as ce,jsxs as Ke}from"react/jsx-runtime";function _o(){return ce("div",{className:"flex flex-col items-center gap-4",children:Ke("p",{className:"text-sm text-muted-foreground",children:["Use"," ",Ke(Fe,{children:[ce(le,{children:"Ctrl + B"}),ce(le,{children:"Ctrl + K"})]})," ","to open the command palette"]})})}export{_o as default};

b/1c59c83fc23c4067fd3a0235ba74a102c29ac97dc9e94a8e968fc00689672540

@@ -0,0 +1,92 @@
+// 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 }; } },
+    },
+  ];
+}

b/1c5cd62e9af7e00c7c5f915b362aefbadaaf8a9891efad966e129004a5d60e94

@@ -0,0 +1 @@
+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};

b/1c75f20c416b6d150f7e753b8ab04612dc6104da2a597bfd7cd1d4f144feb3a5

@@ -0,0 +1,46 @@
+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>
+  )
+}

b/1c852725efc7493292f86d26c5992104439e442f8190a016cf569571010cb14c

@@ -0,0 +1 @@
+var Tt=Object.defineProperty;var Oe=(e,t)=>{for(var r in t)Tt(e,r,{get:t[r],enumerable:!0})};import*as Ue from"react";import*as qt from"react-dom";var ne={};Oe(ne,{Root:()=>jt,Slot:()=>jt,Slottable:()=>Ot,createSlot:()=>se,createSlottable:()=>He});import*as z from"react";import*as We from"react";function Fe(e,t){if(typeof e=="function")return e(t);e!=null&&(e.current=t)}function Vt(...e){return t=>{let r=!1,o=e.map(s=>{let n=Fe(s,t);return!r&&typeof n=="function"&&(r=!0),n});if(r)return()=>{for(let s=0;s<o.length;s++){let n=o[s];typeof n=="function"?n():Fe(e[s],null)}}}}function $e(...e){return We.useCallback(Vt(...e),e)}function se(e){let t=z.forwardRef((r,o)=>{let{children:s,...n}=r,a=null,c=!1,m=[];Be(s)&&typeof oe=="function"&&(s=oe(s._payload)),z.Children.forEach(s,h=>{if(Bt(h)){c=!0;let v=h,y="child"in v.props?v.props.child:v.props.children;Be(y)&&typeof oe=="function"&&(y=oe(y._payload)),a=Ft(v,y),m.push(a?.props?.children)}else m.push(h)}),a?a=z.cloneElement(a,void 0,m):!c&&z.Children.count(s)===1&&z.isValidElement(s)&&(a=s);let d=a?$t(a):void 0,b=$e(o,d);if(!a){if(s||s===0)throw new Error(c?Yt(e):Ut(e));return s}let g=Wt(n,a.props??{});return a.type!==z.Fragment&&(g.ref=o?b:d),z.cloneElement(a,g)});return t.displayName=`${e}.Slot`,t}var jt=se("Slot"),De=Symbol.for("radix.slottable");function He(e){let t=r=>"child"in r?r.children(r.child):r.children;return t.displayName=`${e}.Slottable`,t.__radixId=De,t}var Ot=He("Slottable"),Ft=(e,t)=>{if("child"in e.props){let r=e.props.child;return z.isValidElement(r)?z.cloneElement(r,void 0,e.props.children(r.props.children)):null}return z.isValidElement(t)?t:null};function Wt(e,t){let r={...t};for(let o in t){let s=e[o],n=t[o];/^on[A-Z]/.test(o)?s&&n?r[o]=(...c)=>{let m=n(...c);return s(...c),m}:s&&(r[o]=s):o==="style"?r[o]={...s,...n}:o==="className"&&(r[o]=[s,n].filter(Boolean).join(" "))}return{...e,...r}}function $t(e){let t=Object.getOwnPropertyDescriptor(e.props,"ref")?.get,r=t&&"isReactWarning"in t&&t.isReactWarning;return r?e.ref:(t=Object.getOwnPropertyDescriptor(e,"ref")?.get,r=t&&"isReactWarning"in t&&t.isReactWarning,r?e.props.ref:e.props.ref||e.ref)}function Bt(e){return z.isValidElement(e)&&typeof e.type=="function"&&"__radixId"in e.type&&e.type.__radixId===De}var Dt=Symbol.for("react.lazy");function Be(e){return e!=null&&typeof e=="object"&&"$$typeof"in e&&e.$$typeof===Dt&&"_payload"in e&&Ht(e._payload)}function Ht(e){return typeof e=="object"&&e!==null&&"then"in e}var Ut=e=>`${e} failed to slot onto its children. 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b/1c9df70f8cbf80c5607feb54ab7b780d999a26bfb7246016998045216f757ca6

@@ -0,0 +1,113 @@
+#!/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);

b/1cc7000946eb9434c5f518e037745606d4d5665a297a4a6c5ca9fa019fd0b9c8

@@ -0,0 +1,21 @@
+{
+  "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"
+}

b/1d04933d8b6165771cd1b3f9b6455a5f2aa25ad705204afd1a0f95f3b1e41c1e

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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 outline-none focus-visible:border-ring focus-visible:ring-[3px] focus-visible:ring-ring/50 [a]:transition-colors [a]:hover:bg-accent/50",{variants:{variant:{default:"bg-transparent",outline:"border-border",muted:"bg-muted/50"},size:{default:"gap-4 p-4",sm:"gap-2.5 px-4 py-3"}},defaultVariants:{variant:"default",size:"default"}});function he({className:e,variant:t="default",size:a="default",asChild:o=!1,...l}){let r=o?K.Root:"div";return Z(r,{"data-slot":"item","data-variant":t,"data-size":a,className:R(bt({variant:t,size:a,className:e})),...l})}var Pt=j("flex shrink-0 items-center justify-center gap-2 group-has-[[data-slot=item-description]]/item:translate-y-0.5 group-has-[[data-slot=item-description]]/item:self-start [&_svg]:pointer-events-none",{variants:{variant:{default:"bg-transparent",icon:"size-8 rounded-sm border bg-muted [&_svg:not([class*='size-'])]:size-4",image:"size-10 overflow-hidden rounded-sm [&_img]:size-full [&_img]:object-cover"}},defaultVariants:{variant:"default"}});function ma({className:e,variant:t="default",...a}){return Z("div",{"data-slot":"item-media","data-variant":t,className:R(Pt({variant:t,className:e})),...a})}function Se({className:e,...t}){return Z("div",{"data-slot":"item-content",className:R("flex flex-1 flex-col gap-1 [&+[data-slot=item-content]]:flex-none",e),...t})}function we({className:e,...t}){return Z("div",{"data-slot":"item-title",className:R("flex w-fit items-center gap-2 text-sm leading-snug font-medium",e),...t})}function La({className:e,...t}){return Z("p",{"data-slot":"item-description",className:R("line-clamp-2 text-sm leading-normal font-normal text-balance text-muted-foreground","[&>a]:underline [&>a]:underline-offset-4 [&>a:hover]:text-primary",e),...t})}function ke({className:e,...t}){return Z("div",{"data-slot":"item-actions",className:R("flex items-center gap-2",e),...t})}import{jsx as F,jsxs as ie}from"react/jsx-runtime";function At(){return ie("div",{className:"flex w-full max-w-md flex-col gap-6",children:[ie(he,{variant:"outline",children:[ie(Se,{children:[F(we,{children:"Basic Item"}),F(La,{children:"A simple item with title and description."})]}),F(ke,{children:F(pa,{variant:"outline",size:"sm",children:"Action"})})]}),F(he,{variant:"outline",size:"sm",asChild:!0,children:ie("a",{href:"#",children:[F(ma,{children:F(q,{className:"size-5"})}),F(Se,{children:F(we,{children:"Your profile has been verified."})}),F(ke,{children:F(J,{className:"size-4"})})]})})]})}export{At as default};
+/*! Bundled license information:
+
+lucide-react/dist/esm/shared/src/utils.js:
+  (**
+   * @license lucide-react v0.456.0 - ISC
+   *
+   * This source code is licensed under the ISC license.
+   * See the LICENSE file in the root directory of this source tree.
+   *)
+
+lucide-react/dist/esm/defaultAttributes.js:
+  (**
+   * @license lucide-react v0.456.0 - ISC
+   *
+   * This source code is licensed under the ISC license.
+   * See the LICENSE file in the root directory of this source tree.
+   *)
+
+lucide-react/dist/esm/Icon.js:
+  (**
+   * @license lucide-react v0.456.0 - ISC
+   *
+   * This source code is licensed under the ISC license.
+   * See the LICENSE file in the root directory of this source tree.
+   *)
+
+lucide-react/dist/esm/createLucideIcon.js:
+  (**
+   * @license lucide-react v0.456.0 - ISC
+   *
+   * This source code is licensed under the ISC license.
+   * See the LICENSE file in the root directory of this source tree.
+   *)
+
+lucide-react/dist/esm/icons/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.
+   *)
+*/

b/1d1b5edbccfd7324cc4b2bd53a86813b75a19be7153efa1c9e91467d7e6e0194

@@ -0,0 +1 @@
+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"}}}};

b/1d1e9b8c14e515ed9f326314eeed45637f4985f9e76d78d76e015d5548f8540b

@@ -0,0 +1,103 @@
+// 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 }) };
+}

b/1d2311973f28c55c3a761f20215061b07b815295b2ad491e130bb7ef92794be7

@@ -0,0 +1,20 @@
+{
+  "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"
+}

b/1d2c6f9e169ebaa1f536702cf8d6baec4842f2005e6a179848b0a7392e178c2d

@@ -0,0 +1,26 @@
+{
+  "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"
+}

b/1d334d984bc2d8f0d85df835b7688ea791bc05b3c70077541f0e00608feefd00

@@ -0,0 +1,133 @@
+// 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;
+}

b/1d612e61fa4cc7ae9af90ff3988e54b3f606263d0ebbbc292895945803ef29b2

@@ -0,0 +1,27 @@
+{
+  "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"
+}

b/1d77caf194b3f1187e88d2eadf83e01e6e1846632b7d138c1a86a464838a5dc2

@@ -0,0 +1,55 @@
+"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>
+  )
+}

b/1d7e7cd23c36f98e28c9ac19295b39c069a9c653dac08b2331d0681e98566259

@@ -0,0 +1,116 @@
+"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,
+}

b/1d91954229902aea23185e49bb0fef3dfe31c5cdfcbd7e658030f8ed094ae5e8

@@ -0,0 +1,112 @@
+"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>
+  )
+}

b/1d924b1309c0374bc494702500d8db178b30e55e60306f58cb18212a35d0fbd5

@@ -0,0 +1,20 @@
+{
+  "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"
+}

b/1db7c1e7b1eb8ee3087cf309e707ad194d5fb5f3984f39642063b09a403e5ea2

@@ -0,0 +1,31 @@
+: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;
+}

b/1dcec218a2f7b66e0a1440db345620b4badbee36ef670ad4b800d814f64fe438

@@ -0,0 +1,229 @@
+<!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>

b/1ddbebc91714c07138e154f9babcfd832b3dbf33cc4bc2108952cd9f2abf941e

@@ -0,0 +1,20 @@
+{
+  "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"
+}

b/1e15254bf0d64d13becddf7b3d5524c684bfb7760e2bb4bde36253347395cb59

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

b/1e282ef78b88f6be9c4a12e0ffe016ae1977d5ab37c882f944c34929cb3f98f3

@@ -0,0 +1,5 @@
+export default function TypographyMuted() {
+  return (
+    <p className="text-sm text-muted-foreground">Enter your email address.</p>
+  )
+}

b/1e3087a6dcb3ad01bb916247c344b0f9a96c5d297047f30bdc606d893be50f1f

@@ -0,0 +1,21 @@
+{
+  "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"
+}

b/1e44a399093ef9e1ad59bef41a2efedbd83d7852f2b75f1b58e3f1b4517e4da4

@@ -0,0 +1,20 @@
+{
+  "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"
+}

b/1e6281215a106302322f097423b574cd621a19254d97ae7fc3c0a503a8681c6d

@@ -0,0 +1,104 @@
+// 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);
+}

b/1e70a570b62a4fc06a5971ab7acd36a0690ffc58ddc9ce473d48be85dc4d9052

@@ -0,0 +1,133 @@
+{
+ "@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"
+ ]
+}

b/1e808de8bebfde40323472e7a6b3aa40f2e651cfc73e87f397b06b18723ff7e6

@@ -0,0 +1,20 @@
+{
+  "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"
+}

b/1eb8f1020cd21d0924234c64fe6812e72f0809e2f6e8fd4594d73e6afd545ee5

@@ -0,0 +1,38 @@
+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>
+  )
+}

b/1ee081b9ff4a193649ec9af1c672b6cb313b72bbd531fc55b3656744b3ea9ba5

@@ -0,0 +1,20 @@
+{
+  "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"
+}

b/1f24b4c0f18c1c7c8063940d3a962965d8e83c32844924b8fa4e6d17ff4e8cce

@@ -0,0 +1,40 @@
+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>
+  )
+}

b/1f4c9e3daad4e255238b6ed619da8fee32e3ae77123196abf85151491f68ee7d

@@ -0,0 +1,89 @@
+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 }

b/1f5670322346a1a6d37a27d42e263e65e81bc4f1b402c0655bf7c271fad277e3

@@ -0,0 +1 @@
+/*! 🌼 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 xl\:rounded-l-selector{border-top-left-radius:var(--radius-selector);border-bottom-left-radius:var(--radius-selector)}.\32 xl\:rounded-r-selector{border-top-right-radius:var(--radius-selector);border-bottom-right-radius:var(--radius-selector)}.\32 xl\:rounded-tl-selector{border-top-left-radius:var(--radius-selector)}.\32 xl\:rounded-tr-selector{border-top-right-radius:var(--radius-selector)}.\32 xl\:rounded-br-selector{border-bottom-right-radius:var(--radius-selector)}.\32 xl\:rounded-bl-selector{border-bottom-left-radius:var(--radius-selector)}}}

b/1fa7589bae3567ddf321b209bcd8ac5c08b031e42a3dcbd44281b5e9f618cd5b

@@ -0,0 +1,101 @@
+"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>
+  )
+}

b/1fbb6601eb301afee66f7d512198538ea4a9455651cc9749826f65ee6ccd5cc4

@@ -0,0 +1,20 @@
+{
+  "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"
+}

b/1fdbfb228aeca30bf91c8bda1b713192e12086578b3c038cabead062dcd78d36

@@ -0,0 +1,66 @@
+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 }

b/201433ecce079a365af9ef7ea23a01f5fbcf769f1f0ffa2d30cb32ed1e543bb2

@@ -0,0 +1,68 @@
+// 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);

b/20153dcfad0dff5c1c27178dafc84bc3d810e0f51415c3509e88428ec941493c

@@ -0,0 +1,50 @@
+<!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>

b/202d294d5997625575278176a973965301df1e9b5d35b39650f36426abf7c525

@@ -0,0 +1,200 @@
+// 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(); },
+    };
+  }
+
+  // The stored work-trail card (collapsed): rendered above an agentic answer from lc:toolTrace.
+  function trailCard(msg) {
+    const trace = msg.toolTrace || [];
+    const el = document.createElement("div"); el.className = "receipt trailcard";
+    el.innerHTML = `<div class="rhead"><span class="rdot" style="background:var(--blue);box-shadow:0 0 9px var(--blue)"></span><span class="rt">${t("com_tools_trail")}<span class="rsub"> · ${t("com_tools_calls", { n: String(trace.length) })}</span></span><span class="rchev">${SVG.right}</span></div><div class="rbody"></div>`;
+    const bodyEl = el.querySelector(".rbody");
+    el.querySelector(".rhead").onclick = () => {
+      el.classList.toggle("open");
+      if (bodyEl.childElementCount) return;
+      for (const s of trace) {
+        const row = document.createElement("div");
+        row.innerHTML = `<div class="rrow"><div class="rlab">${s.ok ? "✓" : "✗"} ${eh(s.name)}</div><div class="rval">${eh(JSON.stringify(s.args)).slice(0, 200)}</div></div>` +
+          `<div class="rrow"><div class="rlab">→</div><div class="rval" style="color:var(--muted)">${eh((s.text || "").slice(0, 300))}</div></div>` +
+          (s.receiptId ? `<div class="rrow"><div class="rlab">receipt κ</div><div class="rval">${eh(shortK(s.receiptId))}</div></div>` : "");
+        bodyEl.appendChild(row);
+      }
+    };
+    return el;
+  }
+
+  // Smart follow: stick to the bottom only while the reader is already there.
+  const nearBottom = () => els.scroller.scrollHeight - els.scroller.scrollTop - els.scroller.clientHeight < 90;
+  let follow = true;
+  els.scroller.addEventListener("scroll", () => { follow = nearBottom(); }, { passive: true });
+  function maybeScroll() { if (follow) els.scroller.scrollTop = els.scroller.scrollHeight; }
+  function scrollBottom() { follow = true; els.scroller.scrollTop = els.scroller.scrollHeight; }
+
+  return { render, startStream, scrollBottom, maybeScroll };
+}

b/2058bd906159ce455e183ecbf81b564040875357491b8264c480c308c8a876bf

@@ -0,0 +1,20 @@
+{
+  "id": "org.hologram.ui.example.pagination-demo",
+  "name": "pagination-demo",
+  "tier": "example",
+  "library": "shadcn",
+  "category": "Examples",
+  "upstream": "https://ui.shadcn.com/r/styles/new-york-v4/pagination-demo.json",
+  "did": "did:holo:sha256:d1d892b87ce2650ffff81660a087942df0cf119eac87260e69f4f671075c7746",
+  "import": "holo://sha256:4a3528b5f3ba48cc75b44b29b634711c3900d021bfacd377a1589bb48b069ab7",
+  "integrity": "sha256-SjUotfO6SMx1tEsptjRxHDkA0CG/rNN3oVibtIsGmrc=",
+  "kappa": "sha256:d1d892b87ce2650ffff81660a087942df0cf119eac87260e69f4f671075c7746",
+  "moduleKappa": "sha256:4a3528b5f3ba48cc75b44b29b634711c3900d021bfacd377a1589bb48b069ab7",
+  "renderExport": "default",
+  "source": "registry/new-york-v4/examples/pagination-demo.tsx",
+  "module": "vendor/components/pagination-demo.js",
+  "exports": [
+    "default"
+  ],
+  "license": "MIT"
+}

b/2059b4ea678a3bd8298142c4703701463c3b578aa4a6a0ec998741f0b54ada4f

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

b/2075bb11bd0b67f95cca88fe62a2d3a7558076d7f74cecee2f6f82a47b531374

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b/2083a6fb012857dcc21e7f62d3e79cb272aca709541b01bc1462d6268a58b207

@@ -0,0 +1,20 @@
+{
+  "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"
+}

b/20858f7b5361ed90eeeffbd854595eee3436c019d88bb27775e5da7defc12672

@@ -0,0 +1,54 @@
+// 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;

b/209109999ddeb25219c43e168b0ab79e82f7e11f99f0e98cf401e5ce7014a431

@@ -0,0 +1,20 @@
+{
+  "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"
+}

b/2095f78819ebb914f00fdfaed8bdb290c151e7303fab7787095e21625e864435

@@ -0,0 +1,20 @@
+{
+  "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"
+}