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</head>
<body>
<header class="shell topbar">
<div class="brand"><img src="assets/dot-mark.png" alt="Dot"><span>Dot Loom</span><small>R&D</small></div>
<nav class="nav" aria-label="Research links">
<a href="#results">Results</a>
<a href="#explorer">Policy explorer</a>
<a href="#evidence">Evidence</a>
<a href="https://huggingface.co/usedot/Dot-Loom-Conductor-14B" target="_blank" rel="noreferrer">Model ↗</a>
</nav>
</header>
<main>
<div class="shell intro">
<div>
<div class="eyebrow">Dot Loom Conductor 14B</div>
<h1>Learned control for multi-model inference.</h1>
<p class="lede">A Mistral 14B LoRA adapter trained to choose one, two, or three model calls under explicit quality, cost, latency, and verification constraints.</p>
</div>
<aside>
<dl class="intro-facts">
<div><dt>Base</dt><dd>Ministral 3 · 14B</dd></div>
<div><dt>Training</dt><dd>9,000 traces · 1x H200 SXM5</dd></div>
<div><dt>Held-out exact plan</dt><dd>90.8% with guard</dd></div>
<div><dt>License</dt><dd>Apache 2.0</dd></div>
</dl>
<div class="boundary"><strong>Research boundary:</strong> this Space runs the public reference scorer in the browser. It does not run or imitate weight-level inference from the 14B adapter.</div>
</aside>
</div>
<section id="results">
<div class="shell">
<div class="section-head">
<div><div class="eyebrow">Held-out evaluation</div><h2>What changed after training</h2></div>
<p class="section-copy">The frozen test split contains 1,200 cases from eight task families absent from training and validation. Deterministic Loom is the operational baseline.</p>
</div>
<div class="result-strip" aria-label="Benchmark summary">
<div class="result-stat"><small>Exact-plan match<br>adapter + guard</small><strong class="red">90.8%</strong></div>
<div class="result-stat"><small>Lift over<br>deterministic Loom</small><strong class="red">+11.5 pp</strong></div>
<div class="result-stat"><small>Paired bootstrap<br>95% CI</small><strong>9.4 to 13.7</strong></div>
<div class="result-stat"><small>Unsafe<br>under-escalation</small><strong class="red">0.0%</strong></div>
<div class="result-stat"><small>Budget violations<br>caught by guard</small><strong>13 / 13</strong></div>
</div>
<figure class="benchmark-figure"><img src="assets/benchmark-overview.png" alt="Held-out benchmark comparing deterministic Loom with the Dot-trained adapter plus runtime guard"></figure>
<p class="caption">The raw base checkpoint is a capacity control, not a comparison with an instruction-tuned assistant. Full lane results, raw predictions, and scoring receipts are linked below.</p>
</div>
</section>
<section id="explorer">
<div class="shell">
<div class="section-head">
<div><div class="eyebrow">Reference policy</div><h2>Inspect constrained routing</h2></div>
<p class="section-copy">The scorer enumerates every valid writer, reviewer, and finalizer assignment, rejects over-budget plans, and ranks the remaining candidates using the disclosed utility function.</p>
</div>
<div class="workbench">
<form class="controls" id="route-form">
<div class="control-group">
<label class="control-label" for="preset">Scenario</label>
<select id="preset">
<option>Billing race</option>
<option>SSRF audit</option>
<option>Low-risk copy edit</option>
<option>Product tradeoff</option>
</select>
</div>
<div class="control-group">
<label class="control-label" for="summary">Task</label>
<textarea id="summary"></textarea>
</div>
<div class="control-group sliders">
<label><span class="slider-meta"><span>Risk</span><output id="risk-out"></output></span><input id="risk" type="range" min="0" max="1" step="0.01"></label>
<label><span class="slider-meta"><span>Complexity</span><output id="complexity-out"></output></span><input id="complexity" type="range" min="0" max="1" step="0.01"></label>
<label><span class="slider-meta"><span>Consequence</span><output id="consequence-out"></output></span><input id="consequence" type="range" min="0" max="1" step="0.01"></label>
<label><span class="slider-meta"><span>Ambiguity</span><output id="ambiguity-out"></output></span><input id="ambiguity" type="range" min="0" max="1" step="0.01"></label>
<label><span class="slider-meta"><span>Evidence need</span><output id="evidence-out"></output></span><input id="evidence" type="range" min="0" max="1" step="0.01"></label>
<label><span class="slider-meta"><span>Reversibility</span><output id="reversibility-out"></output></span><input id="reversibility" type="range" min="0" max="1" step="0.01"></label>
</div>
<div class="control-group budgets">
<label class="field"><span>Maximum calls</span><input id="max-calls" type="number" min="1" max="3" step="1"></label>
<label class="field"><span>Maximum credits</span><input id="max-credits" type="number" min="0.1" step="0.1"></label>
<label class="field"><span>Maximum latency, ms</span><input id="max-latency" type="number" min="1000" step="1000"></label>
<label class="field"><span>Target quality</span><input id="min-quality" type="number" min="0" max="1" step="0.01"></label>
</div>
<details>
<summary>Edit the three worker profiles</summary>
<div class="workers" id="workers"></div>
</details>
<button class="route-btn" type="submit">Enumerate and select policy</button>
</form>
<div class="output" id="result" aria-live="polite">
<div class="output-head">
<div class="output-kicker"><span>Reference selection</span><span id="candidate-count"></span></div>
<div class="policy" id="policy"></div>
<div class="role-flow" id="role-flow"></div>
</div>
<div class="metrics">
<div class="metric"><small>Credits</small><strong id="metric-credits"></strong></div>
<div class="metric"><small>P95 latency</small><strong id="metric-latency"></strong></div>
<div class="metric"><small>Estimated quality</small><strong id="metric-quality"></strong></div>
<div class="metric"><small>Estimated pass rate</small><strong id="metric-pass"></strong></div>
</div>
<div class="proof">
<div class="reasons"><h3>Reason codes</h3><div class="reason-list" id="reasons"></div></div>
<div class="json-wrap"><h3>Machine-readable plan</h3><pre id="plan-json"></pre></div>
</div>
<div class="candidate-wrap">
<div class="candidate-caption" id="candidate-caption"></div>
<table>
<thead><tr><th>Policy</th><th>Writer</th><th>Reviewer</th><th>Finalizer</th><th>Credits</th><th>Latency</th><th>Quality</th><th>Pass rate</th><th>Utility</th></tr></thead>
<tbody id="candidate-body"></tbody>
</table>
</div>
</div>
</div>
</div>
</section>
<section id="evidence">
<div class="shell evidence">
<div>
<div class="eyebrow">Evidence package</div>
<p class="evidence-lede">Weights, data, raw predictions, receipts, checksums, and limitations are published together.</p>
<p class="section-copy" style="margin-top:20px">The study measures routing-plan generation. It does not establish universal model rankings or final code correctness.</p>
</div>
<div class="evidence-list">
<a class="evidence-link" href="https://huggingface.co/usedot/Dot-Loom-Conductor-14B" target="_blank" rel="noreferrer"><span>01</span><strong>Adapter, model card, and evidence receipts</strong><small>Model ↗</small></a>
<a class="evidence-link" href="https://huggingface.co/datasets/usedot/dot-loom-conductor-v2" target="_blank" rel="noreferrer"><span>02</span><strong>11,100-example corpus and split viewer</strong><small>Dataset ↗</small></a>
<a class="evidence-link" href="https://huggingface.co/usedot/Dot-Loom-Conductor-14B/blob/main/TECHNICAL_REPORT.md" target="_blank" rel="noreferrer"><span>03</span><strong>Methods, results, deployment boundary, and limitations</strong><small>Report ↗</small></a>
<a class="evidence-link" href="https://github.com/usedotai/dot-loom/tree/main/research/ministral-conductor" target="_blank" rel="noreferrer"><span>04</span><strong>Source, tests, raw predictions, and reproducible runners</strong><small>GitHub ↗</small></a>
</div>
</div>
</section>
</main>
<footer class="shell"><span>Dot R&D · Apache 2.0 · July 2026</span><span>No prompts leave this browser.</span></footer>
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"use strict";
const defaultWorkers = [
{id:"efficient-writer",provider_group:"local",quality:.72,pass_rate:.56,credits_per_call:.15,p95_latency_ms:6500,strengths:["coding","drafting","speed"]},
{id:"independent-reviewer",provider_group:"provider-y",quality:.89,pass_rate:.85,credits_per_call:3.5,p95_latency_ms:35000,strengths:["reasoning","review","writing"]},
{id:"strong-finalizer",provider_group:"provider-z",quality:.97,pass_rate:.96,credits_per_call:12.5,p95_latency_ms:42000,strengths:["implementation","reasoning","synthesis"]}
];
const presets = {
"Low-risk copy edit": {summary:"Rewrite a short release note without changing any facts.",risk:.12,complexity:.25,consequence:.10,ambiguity:.20,evidence:.12,reversibility:.95,maxCalls:1,maxCredits:1,maxLatency:15000,minQuality:.55},
"Billing race": {summary:"Audit a USDC credit claim for concurrent debit, retry, settlement, and recovery failures.",risk:.96,complexity:.91,consequence:.98,ambiguity:.57,evidence:.94,reversibility:.12,maxCalls:3,maxCredits:16.5,maxLatency:95000,minQuality:.90},
"SSRF audit": {summary:"Audit a user-controlled fetcher for redirects, DNS rebinding, and metadata endpoint access.",risk:.95,complexity:.88,consequence:.96,ambiguity:.62,evidence:.92,reversibility:.18,maxCalls:3,maxCredits:16.5,maxLatency:95000,minQuality:.90},
"Product tradeoff": {summary:"Choose between two implementation strategies under a fixed budget.",risk:.34,complexity:.58,consequence:.46,ambiguity:.68,evidence:.55,reversibility:.78,maxCalls:2,maxCredits:5,maxLatency:60000,minQuality:.72}
};
const $ = id => document.getElementById(id);
const clamp = (value, low=0, high=1) => Math.max(low, Math.min(high, value));
const rounded = (value, digits=4) => Number(Number(value).toFixed(digits));
const esc = value => String(value).replace(/[&<>'"]/g, c => ({"&":"&","<":"<",">":">","'":"'",'"':"""}[c]));
function planRecord(policy, writer, reviewer=null, finalizer=null) {
const selected = [writer, reviewer, finalizer].filter(Boolean);
return {
policy, writer:writer.id, reviewer:reviewer?.id ?? null, finalizer:finalizer?.id ?? null,
max_calls:selected.length,
estimated_credits:rounded(selected.reduce((sum,w)=>sum+w.credits_per_call,0),3),
estimated_latency_ms:selected.reduce((sum,w)=>sum+w.p95_latency_ms,0),
independent_verification:Boolean(reviewer && reviewer.provider_group !== writer.provider_group),
access:{writer:[],reviewer:reviewer?["writer"]:[],finalizer:finalizer?["writer","reviewer"]:[]}
};
}
function enumeratePlans(workers) {
const plans = [];
workers.forEach(w => plans.push(planRecord("lean",w)));
workers.forEach(w => workers.forEach(r => { if (r.id !== w.id) plans.push(planRecord("balanced",w,r)); }));
workers.forEach(w => workers.forEach(r => workers.forEach(f => {
if (new Set([w.id,r.id,f.id]).size === 3) plans.push(planRecord("strict",w,r,f));
})));
return plans;
}
function outcomeForPlan(task, workers, plan) {
const byId = Object.fromEntries(workers.map(w=>[w.id,w]));
const writer = byId[plan.writer];
const difficulty = .42*task.complexity + .28*task.ambiguity + .3*task.risk;
let quality = clamp(writer.quality - .24*difficulty + .08*(1-task.complexity),.05,.995);
let passRate = clamp(writer.pass_rate - .27*difficulty,.03,.995);
if (plan.reviewer) {
const reviewer = byId[plan.reviewer];
const independent = reviewer.provider_group !== writer.provider_group;
const reliability = reviewer.quality*reviewer.pass_rate;
let power = reliability*(.28+.34*task.evidence_need+.18*task.risk);
if (independent) power *= 1.12;
const regression = (1-reviewer.quality)*(1-reviewer.pass_rate)*(.08+.08*task.ambiguity);
quality = clamp(quality+(1-quality)*power-quality*regression);
passRate = clamp(passRate+(1-passRate)*reliability*(.36+.34*task.risk)-passRate*regression*.5);
}
if (plan.finalizer) {
const finalizer = byId[plan.finalizer];
const synthesisFit = finalizer.strengths.some(s=>["synthesis","reasoning","writing"].includes(s)) ? .035 : -.025;
const finalizerQuality = clamp(finalizer.quality-.1*difficulty+synthesisFit,.05,.995);
const power = finalizerQuality*finalizer.pass_rate*(.2+.24*task.complexity+.16*task.ambiguity);
const evidenceQuality = clamp(quality+(1-quality)*power);
quality = clamp(.58*evidenceQuality+.42*finalizerQuality);
passRate = clamp(.62*passRate+.38*finalizer.pass_rate);
}
return {quality:rounded(quality),pass_rate:rounded(passRate)};
}
const feasible = (plan,c) => plan.max_calls<=c.max_calls && plan.estimated_credits<=c.max_credits+1e-9 && plan.estimated_latency_ms<=c.max_latency_ms;
function roleFitnessPenalty(c, workers, plan) {
const byId = Object.fromEntries(workers.map(w=>[w.id,w]));
const writer = byId[plan.writer];
let penalty = 0;
if (plan.reviewer) {
const reviewer = byId[plan.reviewer];
const floor = Math.max(.55,Math.min(.82,c.minimum_quality-.1));
penalty += 22*Math.max(0,floor-reviewer.quality) + 12*Math.max(0,.58-reviewer.pass_rate) + 9*Math.max(0,writer.quality-reviewer.quality-.18);
if (!reviewer.strengths.some(s=>["review","reasoning"].includes(s))) penalty += 2.5;
}
if (plan.finalizer) {
const finalizer = byId[plan.finalizer];
const selected = [plan.writer,plan.reviewer,plan.finalizer].filter(Boolean).map(id=>byId[id]);
const bestQuality = Math.max(...selected.map(w=>w.quality));
const bestPass = Math.max(...selected.map(w=>w.pass_rate));
penalty += 34*Math.max(0,bestQuality-finalizer.quality) + 14*Math.max(0,bestPass-finalizer.pass_rate-.08);
if (!finalizer.strengths.some(s=>["synthesis","reasoning","writing"].includes(s))) penalty += 3;
}
return penalty;
}
function utility(task,c,plan,outcome,workers) {
let score = 62*outcome.quality + 23*outcome.pass_rate;
score -= 7*plan.estimated_credits/Math.max(c.max_credits,.1);
score -= 4.5*plan.estimated_latency_ms/Math.max(c.max_latency_ms,1);
score -= 1.5*(plan.max_calls-1) + roleFitnessPenalty(c,workers,plan);
score -= 42*Math.max(0,c.minimum_quality-outcome.quality);
const verificationPressure = task.risk*task.consequence*(.55+.45*task.evidence_need);
if (plan.independent_verification) score += 12*verificationPressure;
else if (verificationPressure>.42) score -= 28*verificationPressure;
const synthesisPressure = .4*task.complexity+.25*task.ambiguity+.2*task.risk+.15*task.evidence_need;
if (plan.policy==="strict") score += 30*Math.max(0,synthesisPressure-.35);
if (task.risk<.28 && task.complexity<.42) score -= 4.8*(plan.max_calls-1);
if (task.reversibility<.3 && plan.policy==="lean") score -= 7.5;
return rounded(score,6);
}
function reasonCodes(task,c,plan,outcome) {
const reasons=[];
if (task.risk>=.72 || task.consequence>=.78) reasons.push("high_consequence");
if (task.evidence_need>=.65) reasons.push("independent_evidence");
if (task.complexity>=.72 || task.ambiguity>=.72) reasons.push("complex_task");
if (plan.estimated_credits>=c.max_credits*.82) reasons.push("credit_constrained");
if (plan.estimated_latency_ms>=c.max_latency_ms*.82) reasons.push("latency_constrained");
if (outcome.quality<c.minimum_quality) reasons.push("best_feasible_below_target");
if (plan.policy==="lean" && reasons.length===0) reasons.push("single_call_sufficient");
if (plan.independent_verification) reasons.push("independent_verification");
return [...new Set(reasons)].sort().slice(0,4);
}
function renderWorkers(workers=defaultWorkers) {
$("workers").innerHTML = workers.map((w,i)=>`
<div class="worker" data-worker="${i}">
<div class="worker-title">Candidate ${String.fromCharCode(65+i)}</div>
<div class="worker-grid">
<label class="field wide"><span>Name</span><input data-k="id" type="text" value="${esc(w.id)}"></label>
<label class="field"><span>Provider group</span><input data-k="provider_group" type="text" value="${esc(w.provider_group)}"></label>
<label class="field"><span>Strengths</span><input data-k="strengths" type="text" value="${esc(w.strengths.join(", "))}"></label>
<label class="field"><span>Quality</span><input data-k="quality" type="number" min="0" max="1" step="0.01" value="${w.quality}"></label>
<label class="field"><span>Pass rate</span><input data-k="pass_rate" type="number" min="0" max="1" step="0.01" value="${w.pass_rate}"></label>
<label class="field"><span>Credits / call</span><input data-k="credits_per_call" type="number" min="0" step="0.01" value="${w.credits_per_call}"></label>
<label class="field"><span>P95 latency, ms</span><input data-k="p95_latency_ms" type="number" min="1" step="100" value="${w.p95_latency_ms}"></label>
</div>
</div>`).join("");
}
function readWorkers() {
return [...document.querySelectorAll("[data-worker]")].map(node=>{
const get = key => node.querySelector(`[data-k="${key}"]`).value;
return {id:get("id").trim(),provider_group:get("provider_group").trim(),quality:Number(get("quality")),pass_rate:Number(get("pass_rate")),credits_per_call:Number(get("credits_per_call")),p95_latency_ms:Number(get("p95_latency_ms")),strengths:get("strengths").split(",").map(s=>s.trim()).filter(Boolean)};
});
}
function validateWorkers(workers) {
if (new Set(workers.map(w=>w.id)).size!==3 || workers.some(w=>!w.id)) throw new Error("Candidate names must be non-empty and unique.");
if (workers.some(w=>w.quality<0||w.quality>1||w.pass_rate<0||w.pass_rate>1)) throw new Error("Quality and pass rate must stay between 0 and 1.");
if (workers.some(w=>w.credits_per_call<0||w.p95_latency_ms<1)) throw new Error("Cost and latency must be positive.");
}
function selectPlan(task,c,workers) {
validateWorkers(workers);
const candidates=enumeratePlans(workers).filter(plan=>feasible(plan,c)).map(plan=>{
const outcome=outcomeForPlan(task,workers,plan);
return {plan,outcome,score:utility(task,c,plan,outcome,workers)};
});
if (!candidates.length) throw new Error("No plan fits the selected call, credit, and latency budgets.");
const eligible=candidates.filter(row=>row.outcome.quality>=c.minimum_quality);
const ranked=(eligible.length?eligible:candidates).sort((a,b)=>b.score-a.score||b.outcome.quality-a.outcome.quality||b.outcome.pass_rate-a.outcome.pass_rate||a.plan.estimated_credits-b.plan.estimated_credits||a.plan.estimated_latency_ms-b.plan.estimated_latency_ms);
const winner=ranked[0];
const result={...winner.plan,max_credits:c.max_credits,max_latency_ms:c.max_latency_ms,estimated_quality:winner.outcome.quality,estimated_pass_rate:winner.outcome.pass_rate,reason_codes:reasonCodes(task,c,winner.plan,winner.outcome)};
return {result,candidates:candidates.sort((a,b)=>b.score-a.score)};
}
function renderRoles(result) {
const roles=[["Writer",result.writer],["Reviewer",result.reviewer],["Finalizer",result.finalizer]];
$("role-flow").innerHTML=roles.map(([label,value],index)=>`${index?'<div class="flow-arrow">→</div>':''}<div class="role ${value?'':'off'}"><small>${label}</small><strong>${esc(value||"not used")}</strong></div>`).join("");
}
function renderCandidates(rows) {
$("candidate-body").innerHTML=rows.map(({plan,outcome,score})=>`<tr><td>${esc(plan.policy)}</td><td>${esc(plan.writer)}</td><td>${esc(plan.reviewer||"-")}</td><td>${esc(plan.finalizer||"-")}</td><td>${plan.estimated_credits.toFixed(3)}</td><td>${plan.estimated_latency_ms.toLocaleString()} ms</td><td>${outcome.quality.toFixed(4)}</td><td>${outcome.pass_rate.toFixed(4)}</td><td>${score.toFixed(4)}</td></tr>`).join("");
$("candidate-caption").textContent=`${rows.length} feasible candidates, ranked by disclosed utility`;
}
function renderResult(result,candidates,c) {
$("policy").innerHTML=`<span>${esc(result.policy.toUpperCase())}</span> · ${result.max_calls}`;
$("candidate-count").textContent=`${candidates.length} feasible plans`;
renderRoles(result);
$("metric-credits").textContent=`${result.estimated_credits.toFixed(3)} / ${c.max_credits.toFixed(3)}`;
$("metric-latency").textContent=`${result.estimated_latency_ms.toLocaleString()} ms`;
$("metric-quality").textContent=result.estimated_quality.toFixed(4);
$("metric-pass").textContent=result.estimated_pass_rate.toFixed(4);
$("reasons").innerHTML=result.reason_codes.map(reason=>`<div class="reason mono">${esc(reason)}</div>`).join("");
$("plan-json").className="";
$("plan-json").textContent=JSON.stringify(result,null,2);
renderCandidates(candidates);
}
function renderError(message) {
$("policy").innerHTML='<span>INPUT</span> ERROR';
$("candidate-count").textContent="no plan selected";
$("role-flow").innerHTML="";
["metric-credits","metric-latency","metric-quality","metric-pass"].forEach(id=>$(id).textContent="-");
$("reasons").innerHTML=`<div class="reason">${esc(message)}</div>`;
$("plan-json").className="error";
$("plan-json").textContent=JSON.stringify({error:message},null,2);
$("candidate-body").innerHTML="";
$("candidate-caption").textContent="Correct the inputs and route again";
}
function currentInputs() {
return {
task:{risk:Number($("risk").value),complexity:Number($("complexity").value),consequence:Number($("consequence").value),ambiguity:Number($("ambiguity").value),evidence_need:Number($("evidence").value),reversibility:Number($("reversibility").value)},
constraints:{max_calls:Number($("max-calls").value),max_credits:Number($("max-credits").value),max_latency_ms:Number($("max-latency").value),minimum_quality:Number($("min-quality").value)}
};
}
function route() {
try {
const {task,constraints}=currentInputs();
const {result,candidates}=selectPlan(task,constraints,readWorkers());
renderResult(result,candidates,constraints);
} catch (error) { renderError(error.message); }
}
function updateOutputs() {
[["risk","risk-out"],["complexity","complexity-out"],["consequence","consequence-out"],["ambiguity","ambiguity-out"],["evidence","evidence-out"],["reversibility","reversibility-out"]].forEach(([input,output])=>$(output).value=Number($(input).value).toFixed(2));
}
function setPreset(name) {
const p=presets[name];
$("summary").value=p.summary;
[["risk",p.risk],["complexity",p.complexity],["consequence",p.consequence],["ambiguity",p.ambiguity],["evidence",p.evidence],["reversibility",p.reversibility]].forEach(([id,value])=>$(id).value=value);
$("max-calls").value=p.maxCalls;
$("max-credits").value=p.maxCredits;
$("max-latency").value=p.maxLatency;
$("min-quality").value=p.minQuality;
updateOutputs();
route();
}
renderWorkers();
$("preset").addEventListener("change",event=>setPreset(event.target.value));
$("route-form").addEventListener("submit",event=>{event.preventDefault();route();});
document.querySelectorAll('input[type="range"]').forEach(input=>input.addEventListener("input",updateOutputs));
setPreset("Billing race");
</script>
</body>
</html>
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