Our estimate (leads + fallback discounted), output/hidden reasoning bar, cost estimate, regrouped gaps, waffle flags, Harbor Hub trial links

annot-nav.css

@@ -6,3 +6,5 @@
 .annot-nav .annot-home{padding-left:0;font-weight:800;margin-right:6px}
 .annot-nav .annot-row{margin-right:auto;font-weight:800}
 .annot-row small{font-weight:500;opacity:.8;margin-left:4px}
+.annot-nav .annot-hub{border:1px solid currentColor;margin-left:6px}
+.annot-nav .annot-hub[hidden]{display:none}

common.js

@@ -80,9 +80,11 @@
       const col = el("div", "col");
       (r.tasks[task] || []).forEach((c, i) => {
         const marked = opts.leadsOnly ? (c.c === "1" && (c.s === "c" || c.s === "h")) : "chm".includes(c.s);
-        const sq = el(c.v !== null && c.v !== undefined ? "a" : "span", "sq sq--" + c.c + (marked ? " sq--" + c.s : ""));
+        const cls = "sq sq--" + c.c + (marked ? " sq--" + c.s : "") + (c.d ? " sq--disc" : "") + (c.f ? " sq--fb" : "") + (c.n ? " sq--nt" : "");
+        const sq = el(c.v !== null && c.v !== undefined ? "a" : "span", cls);
         if (c.v !== null && c.v !== undefined) sq.href = cellHref(r, c);
-        sq.dataset.tip = [task, "attempt " + (i + 1) + " · " + OUTCOME[c.c], "highest finding: " + PRIORITY[c.s],
+        sq.dataset.tip = [task, "attempt " + (i + 1) + " · " + OUTCOME[c.c] + (c.d ? " · not counted in our estimate" : ""),
+          "highest finding: " + PRIORITY[c.s], ...(c.f ? ["steps by a fallback model"] : []), ...(c.n ? ["no trajectory"] : []),
           c.h ? "opens the full trajectory" : "opens the findings viewer"].join("\n");
         col.append(sq);
       });

home.js

@@ -42,54 +42,87 @@
   /* Notable problems, as plain coloured text: only what changes how a row reads. */
   function flags(r) {
     const h = r.scan.holes, m = h.models, out = [];
-    if (m.mismatch) out.push(["bad", "served " + shortModel(m.served[0].model)]);
-    else if (m.foreignTrials) out.push(["warn", "fallback " + m.served.filter(s => !s.configured).map(s => shortModel(s.model).replace(/^claude-/, "")).join(", ") + " " + pct0(m.foreignStepShare)]);
-    const off = h.lbCost && Math.abs(h.costSum - h.lbCost) / h.lbCost > 0.02;
-    if (off) out.push(["warn", "trial costs " + money(h.costSum) + "/" + money(h.lbCost)]);
-    else if (h.uncosted / r.scan.trials > 0.05) out.push(["warn", h.uncosted + " uncosted"]);
-    if (h.webTrials >= 10 && h.webUnrecorded / h.webTrials > 0.5) out.push(["note", "no web results"]);
+    if (m.mismatch && !m.alias) out.push(["bad", "served " + shortModel(m.served[0].model)]);
+    else if (m.alias) out.push(["note", "served " + shortModel(m.served[0].model) + " (alias)"]);
+    else if (m.foreignTrials) out.push(["warn", "fallback " + m.served.filter(s => !s.configured).map(s => shortModel(s.model).replace(/^claude-/, "")).join(", ") + " in " + m.foreignTrials + " trials"]);
+    const c = h.cost;
+    if (c.imputedTrials) out.push(["warn", c.imputedTrials + " trials priced from tokens"]);
+    if (c.noUsage / r.scan.trials > 0.02) out.push(["note", c.noUsage + " trials with no usage"]);
+    if (c.unbilled) out.push(["bad", "reasoning unbilled"]);
     return out;
   }
+  const hasLb = D.rows.some(r => r.lb.source !== "recount");
+  const ESTIMATE_HELP = "our estimate: rewarded trials, less review leads (an unexcused high or critical finding) and trials partly run by a fallback model";
+
+  /* Output per trial: reported output tokens (median trial), split into what the trace holds as
+     text and what it doesn't (hidden reasoning). One scale across rows. */
+  const outMax = Math.max(...D.rows.map(r => r.scan.holes.tokens.outputMedian || 0));
+  function outputBar(h, wide) {
+    const t = h.tokens, wrap = el("span", "obar" + (wide ? " obar--wide" : ""));
+    if (!t.outputMedian) { wrap.append(el("span", "z", "no token counts")); return wrap; }
+    const bar = el("span", "ob");
+    bar.style.width = Math.max(4, Math.round(100 * t.outputMedian / outMax)) + "%";
+    const hid = el("i", "ob-hidden"); hid.style.width = Math.round(100 * t.hiddenMedian / t.outputMedian) + "%";
+    bar.append(hid);
+    const lane = el("span", "ob-lane"); lane.append(bar);
+    wrap.append(lane);
+    const share = t.hiddenMedian / t.outputMedian;
+    const lab = el("span", "ob-lab");
+    lab.append(el("b", null, pct0(share)), document.createTextNode(" hidden"));
+    wrap.append(lab);
+    wrap.title = "median trial: " + compactN(t.outputMedian) + " output tokens, " + compactN(t.hiddenMedian) +
+      " of them with no text in the trace (" + (t.measured ? "reasoning tokens reported" : "estimated from the recorded text") + ")";
+    return wrap;
+  }
+  const compactN = n => (n >= 1e6 ? (n / 1e6).toFixed(1) + "M" : n >= 1e3 ? Math.round(n / 1e3) + "k" : String(n));
 
   /* 1. Leaderboard. */
   let sortKey = "rank", sortDir = 1;
   const leadsOnly = $("leads-only");
   const SORTS = {
-    rank: r => r.rank, score: r => -r.lb.accuracy, leads: r => -r.scan.leads, hacks: r => -(r.lb.rewardHacks || 0),
-    trace: r => -(r.scan.holes.text.unseen ?? 0), cost: r => -(r.lb.cost || 0),
+    rank: r => r.rank, score: r => -r.lb.accuracy, adj: r => -r.scan.adjusted.accuracy, leads: r => -r.scan.leads,
+    hidden: r => -(r.scan.holes.tokens.hiddenMedian / (r.scan.holes.tokens.outputMedian || 1)),
+    cost: r => -(r.scan.holes.cost.estimate || 0),
   };
   function board() {
     const cols = [
       { name: "89 tasks × 5 attempts, easiest first", cls: "l" },
-      { name: "Score", sort: "score", help: "leaderboard accuracy ± 95% CI half-width" },
+      { name: hasLb ? "Leader­board" : "Score", sort: "score", help: hasLb ? "published accuracy ± 95% half-width" : "rewarded trials ± 95% half-width over the five attempt rounds" },
+      { name: "Our estimate", sort: "adj", help: ESTIMATE_HELP },
       { name: "Leads", sort: "leads", help: "rewarded trials with an unexcused high or critical finding" },
-      { name: "LB hacks", sort: "hacks", help: "leaderboard's own reward-hack rate" },
-      { name: "Output not in trace", sort: "trace", cls: "l", help: "share of reported output tokens with no text in the trace, and why: the reasoning's form" },
-      { name: "Cost", sort: "cost", help: "leaderboard total" },
+      { name: "Output per trial · hidden reasoning", sort: "hidden", cls: "l", help: "median trial's output tokens (bar length, one scale); the orange part has no text in the trace: reasoning the trace doesn't show" },
+      { name: "Reasoning", help: "why the reasoning isn't in the trace" },
+      { name: "Cost", sort: "cost", help: "our estimate: recorded trial costs, uncosted trials priced from their tokens at the row's own fitted rates, and any reasoning left out of the output tokens" },
       { name: "Notes", cls: "l" },
     ];
     const t = $("board");
     t.replaceChildren(headRow(cols, "Model · harness"));
     const tb = el("tbody");
     D.rows.slice().sort((a, b) => sortDir * (SORTS[sortKey](a) - SORTS[sortKey](b)) || a.rank - b.rank).forEach(r => {
-      const h = r.scan.holes, tr = el("tr");
+      const h = r.scan.holes, tr = el("tr"), adj = r.scan.adjusted;
       tr.append(rowHead(r));
       const s = el("td", "l"); s.append(strip(r, { leadsOnly: leadsOnly.checked })); tr.append(s);
       const sc = el("td"); sc.append(num(fmt1(r.lb.accuracy), "n big"), el("span", "pm", "±" + fmt1(r.lb.ci95)));
-      sc.title = r.scan.rewarded + " of " + r.scan.trials + " listed trials rewarded"; tr.append(sc);
+      sc.title = r.scan.rewarded + " of " + r.scan.trials + " trials rewarded"; tr.append(sc);
+      const ad = el("td");
+      const delta = adj.accuracy - r.lb.accuracy;
+      ad.append(num(fmt1(adj.accuracy), "n big" + (delta <= -1 ? " hot" : "")));
+      ad.append(el("small", null, (adj.leads ? "−" + adj.leads + (adj.leads === 1 ? " lead" : " leads") : "") + (adj.fallback ? (adj.leads ? " " : "") + "−" + adj.fallback + " fallback" : "") || "no change"));
+      ad.title = ESTIMATE_HELP + ": " + adj.rewarded + " of " + r.scan.trials;
+      tr.append(ad);
       const ld = el("td");
       if (r.scan.leads) ld.append(link(rowPath(r) + "highlights/index.html", String(r.scan.leads), "n big hot"));
       else ld.append(el("span", "z", "0"));
       tr.append(ld);
-      tr.append(el("td", "n" + (r.lb.rewardHacks >= 1 ? " hot" : ""), fmt1(r.lb.rewardHacks) + "%"));
-      const miss = h.text.unseen ?? 0, tc = el("td", "vis l");
-      const bar = el("span", "bar bar--miss"); const fill = el("i"); fill.style.width = Math.round(100 * miss) + "%"; bar.append(fill);
-      const rz = el("span", "rz rz--" + h.text.form, RZ[h.text.form]); rz.title = RZ_HELP[h.text.form];
-      tc.append(bar, el("span", "n pc", pct0(miss)), rz);
-      if (h.text.uncounted) tc.append(el("span", "bad unb", " · ≥" + pct0(h.text.uncounted) + " unbilled"));
-      tr.append(tc);
-      tr.append(el("td", "n", money(r.lb.cost)));
+      const oc = el("td", "l"); oc.append(outputBar(h)); tr.append(oc);
+      const rz = el("td", "rz rz--" + h.text.form, RZ[h.text.form]); rz.title = RZ_HELP[h.text.form]; tr.append(rz);
+      const c = h.cost, cc = el("td");
+      cc.append(num(c.estimate === null ? "–" : (c.lowerBound ? "≥" : "") + money(c.estimate), "n"));
+      const rec = hasLb && r.lb.cost !== null ? "LB " + money(r.lb.cost) : c.imputed || c.unbilled ? "rec. " + money(c.recorded) : "";
+      if (rec) cc.append(el("small", null, rec));
+      tr.append(cc);
       const nt = el("td", "l notes");
+      if (r.why) nt.append(el("span", "why", r.why));
       flags(r).forEach(([lvl, text]) => nt.append(el("span", "fl fl--" + lvl, text)));
       tr.append(nt);
       tb.append(tr);
@@ -104,26 +137,29 @@
   }
   leadsOnly.addEventListener("change", board);
 
-  /* 2. Gaps & accounting: grouped columns, each analysis once. */
+  /* 2. Gaps & accounting: what the traces hold and what the trials cost, each analysis once. */
   function gaps() {
     const groups = [
-      ["Models", [["Served, by share of steps", "l", "red: not the configured model; the count opens the trials"]]],
-      ["Output vs recorded text", [
-        ["Chars / output token", "", "recorded agent text (reasoning, messages, tool arguments) per reported output token; ≈3.2 when the trace holds all output"],
-        ["Reasoning tokens", "", "reasoning tokens as a share of output, where the harness reports them separately"],
-        ["Trials < 80% text", "", "trials whose recorded text covers under 80% of their output tokens"],
-        ["Unbilled", "", "recorded reasoning on top of output tokens the visible text already fills: missing from the reported output and cost"]]],
-      ["Trace gaps · trials", [
-        ["Web results", "", "trials with web activity whose results aren't in the trace / trials with web activity"],
-        ["Web prov.", "", "web input or reference provenance unresolved"], ["Unpaired results", "", "tool results not paired to their calls"],
-        ["Calls missing", "", "token totals exceed the recorded model calls"], ["Ends on call", "", "trace ends on a tool call with no result"],
-        ["Compacted", "", "history compacted into a summary"], ["No traj.", "", "listed trial without a trajectory"],
-        ["Time­stamps", "", "missing or out of order"]]],
-      ["Cost", [["Trials / LB", "", "sum of per-trial recorded cost against the leaderboard total"], ["Uncosted", "", "trials without a recorded cost"]]],
+      ["Models", [["Served, by share of steps", "l", "per-step model names; red: another model than the configured one"]]],
+      ["Output tokens per trial", [
+        ["Median", "", "reported output tokens of the median trial"],
+        ["Hidden", "", "of which no text in the trace: reasoning the trace doesn't show"],
+        ["How known", "l", "measured: the harness reports reasoning tokens; estimated: from recorded characters at ≈3.2 per token"],
+        ["Unbilled", "", "recorded reasoning missing from the output tokens (and so the cost), as a share of reported output"]]],
+      ["Web", [
+        ["Trials using it", "", "trials that searched or opened web pages"],
+        ["Results not in trace", "", "of those, trials where the search or fetch results aren't in the trace (only the query or URL is)"]]],
+      ["History", [
+        ["Compacted", "", "trials whose history was compacted into a summary: earlier steps aren't in the trace"],
+        ["No trajectory", "", "listed trials without a trajectory"]]],
+      ["Cost", [
+        ["Recorded", "", "sum of the trials' recorded costs"],
+        ["Our estimate", "", "recorded + uncosted trials priced from their tokens + unbilled reasoning, at the row's fitted rates"],
+        ["Fitted $/M in · cached · out", "", "rates fitted to the row's own trial costs and tokens (R² shown on hover)"]]],
       ["Evidence", [["Undecided", "", "trials with a behavioural check atif-scan couldn't decide"]]],
     ];
     const g = el("tr", "groups"), hr = el("tr");
-    const g0 = el("th", "rowh", ""); g0.rowSpan = 1; g.append(g0);
+    g.append(el("th", "rowh", ""));
     hr.append(el("th", "rowh", "Row"));
     groups.forEach(([name, cols], i) => {
       const th = el("th", "grp" + (i ? " gstart" : ""), name); th.colSpan = cols.length; g.append(th);
@@ -137,30 +173,50 @@
     const tb = el("tbody");
     const start = td => { td.classList.add("gstart"); return td; };
     D.rows.forEach(r => {
-      const h = r.scan.holes, n = r.scan.trials, m = h.models, tr = el("tr");
+      const h = r.scan.holes, n = r.scan.trials, m = h.models, tk = h.tokens, c = h.cost, tr = el("tr");
       tr.append(rowHead(r));
-      const md = el("td", "l models-cell" + (m.mismatch ? " bad" : ""));
+      const md = el("td", "l models-cell" + (m.mismatch && !m.alias ? " bad" : ""));
       m.served.filter(x => x.share >= 0.005).slice(0, 3).forEach(x =>
-        md.append(el("span", x.configured ? "mdl" : "mdl off", shortModel(x.model) + (m.served.length > 1 ? " " + pct0(x.share) : ""))));
+        md.append(el("span", x.configured || m.alias ? "mdl" : "mdl off", shortModel(x.model) + (m.served.length > 1 ? " " + pct0(x.share) : ""))));
       if (m.foreignTrials) md.append(link(holeHref(r, "foreign"), m.foreignTrials + " trials", "mlink"));
       tr.append(start(md));
 
-      tr.append(start(el("td", "n", String(h.text.allCpt))));
-      tr.append(el("td", "n", h.text.reasoningShare !== null ? pct0(h.text.reasoningShare) : "–"));
-      tr.append(countCell(r, "unseen", h.unseen, n, { scale: 1 }));
+      tr.append(start(el("td", "n", tk.outputMedian ? compactN(tk.outputMedian) : "–")));
+      const hid = el("td", "n");
+      if (tk.outputMedian) {
+        heat(hid, tk.hiddenMedian / tk.outputMedian, 1, "warm");
+        hid.append(link(holeHref(r, "unseen"), compactN(tk.hiddenMedian) + " · " + pct0(tk.hiddenMedian / tk.outputMedian)));
+      } else hid.append(el("span", "z", "–"));
+      tr.append(hid);
+      const how = el("td", "l small");
+      how.append(el("span", "rz rz--" + h.text.form, RZ[h.text.form]), document.createTextNode(tk.outputMedian ? (tk.measured ? " · measured" : " · estimated") : ""));
+      tr.append(how);
       const ub = el("td", "c");
       if (h.text.uncounted) ub.append(link(holeHref(r, "uncounted"), "≥" + pct0(h.text.uncounted), "bad"));
       else ub.append(el("span", "z", "·"));
       tr.append(ub);
 
-      tr.append(start(h.webTrials ? countCell(r, "webUnrecorded", h.webUnrecorded, n, { of: h.webTrials, scale: 1 }) : el("td", "c z", "no web")));
-      ["webUnresolved", "unpaired", "callsMissing", "endsOnCall", "compacted", "noTrajectory", "timestamps"]
-        .forEach(k => tr.append(countCell(r, k, h[k], n)));
+      tr.append(start(el("td", "n" + (h.webTrials ? "" : " z"), h.webTrials ? String(h.webTrials) : "·")));
+      tr.append(h.webTrials ? countCell(r, "webUnrecorded", h.webUnrecorded, n, { of: h.webTrials, scale: 1, help: "results not in the trace / trials using the web" }) : el("td", "c z", "·"));
 
-      const off = h.lbCost ? h.costSum - h.lbCost : 0;
-      tr.append(start(el("td", "n" + (Math.abs(off) / (h.lbCost || 1) > 0.02 ? " bad" : ""),
-        Math.abs(off) >= 0.5 ? money(h.costSum) + " / " + money(h.lbCost) : money(h.costSum) + " =")));
-      tr.append(countCell(r, "uncosted", h.uncosted, n, { scale: 0.3 }));
+      tr.append(start(countCell(r, "compacted", h.compacted, n, { scale: 0.2 })));
+      tr.append(countCell(r, "noTrajectory", h.noTrajectory, n, { scale: 0.2 }));
+
+      tr.append(start(el("td", "n", money(c.recorded))));
+      const est = el("td", "n" + (c.estimate && c.estimate > c.recorded * 1.02 ? " bad" : ""));
+      est.append(document.createTextNode(c.estimate === null ? "–" : (c.lowerBound ? "≥" : "") + money(c.estimate)));
+      if (c.imputedTrials || c.unbilled || c.noUsage) {
+        const parts = [];
+        if (c.imputedTrials) parts.push("+" + money(c.imputed) + " " + c.imputedTrials + " priced");
+        if (c.unbilled) parts.push("+" + money(c.unbilled) + " unbilled");
+        if (c.noUsage) parts.push(c.noUsage + " no usage");
+        est.append(el("small", null, parts.join(" · ")));
+      }
+      tr.append(est);
+      const rt = el("td", "n small");
+      if (c.rates) { rt.textContent = [c.rates.uncached, c.rates.cached, c.rates.output].map(v => v.toFixed(2)).join(" · "); rt.title = "R² " + c.rates.r2; }
+      else rt.append(el("span", "z", "–"));
+      tr.append(rt);
       const und = el("td", "n", String(h.evidenceIncomplete)); heat(und, h.evidenceIncomplete / n, 1.5, "cool");
       tr.append(start(und));
       tb.append(tr);
@@ -168,24 +224,26 @@
     t.append(tb);
   }
 
-  /* 3. Findings by family. */
+  /* 3. Findings by family: a dot per family, its area the share of trials; filled when some were rewarded. */
   function families() {
-    const keys = Object.keys(D.categories);
+    const keys = Object.keys(D.categories).filter(k => D.rows.some(r => (r.scan.categories[k] || {}).trials));
     const t = $("families-table");
-    t.replaceChildren(headRow(keys.map(k => ({ name: D.categories[k] })), "Row"));
+    t.replaceChildren(headRow(keys.map(k => ({ name: D.categories[k], cls: "c" })), "Row"));
     const tb = el("tbody");
     D.rows.forEach(r => {
       const tr = el("tr");
       tr.append(rowHead(r));
       keys.forEach(k => {
         const v = r.scan.categories[k] || { trials: 0, rewarded: 0 };
-        const td = el("td", "c");
-        if (!v.trials) { td.append(el("span", "z", "·")); tr.append(td); return; }
-        const share = v.trials / r.scan.trials;
-        heat(td, share, 0.12, "amber");
-        const a = link(rowPage(r) + "#found", (100 * share).toFixed(1) + "%");
-        a.title = v.trials + " trials · " + v.rewarded + " rewarded";
-        td.append(a, el("small", null, v.rewarded + " rew."));
+        const td = el("td", "c dotc");
+        if (v.trials) {
+          const share = v.trials / r.scan.trials;
+          const dot = link(rowPage(r) + "#found", "", "dot" + (v.rewarded ? " dot--won" : ""));
+          const size = Math.round(5 + 25 * Math.sqrt(Math.min(1, share / 0.15)));
+          dot.style.width = dot.style.height = size + "px";
+          dot.title = D.categories[k] + " · " + v.trials + " trials (" + (100 * share).toFixed(1) + "%) · " + v.rewarded + " rewarded";
+          td.append(dot, el("small", null, (100 * share).toFixed(1) + "%"));
+        }
         tr.append(td);
       });
       tb.append(tr);

hub-link.js

@@ -0,0 +1,27 @@
+/* Adds a link to the open trial's page on the Harbor Hub to the row navigation of atif-scan's
+   exports. The viewer keeps the open trial in the URL fragment (#trial=<id>), so the link
+   follows it; ids map to Hub URLs through this row's hub.js. */
+(function () {
+  "use strict";
+  const hubs = window.TB21_HUB || {};
+  const nav = document.querySelector(".annot-nav");
+  if (!nav) return;
+  const a = document.createElement("a");
+  a.className = "annot-hub";
+  a.target = "_blank";
+  a.rel = "noopener noreferrer";
+  a.textContent = "Trial on Harbor Hub ↗";
+  a.hidden = true;
+  nav.append(a);
+  let last = null;
+  function update() {
+    if (location.hash === last) return;
+    last = location.hash;
+    const id = new URLSearchParams(location.hash.slice(1)).get("trial");
+    const url = id !== null ? hubs[id] : undefined;
+    a.hidden = !url;
+    if (url) a.href = url;
+  }
+  update();
+  setInterval(update, 400);
+})();

index.html

@@ -47,28 +47,32 @@
         </div>
       </header>
       <div class="scroll"><table id="board" class="grid grid--board"></table></div>
-      <p class="key"><i class="sq sq--1"></i>rewarded <i class="sq sq--0"></i>failed <i class="sq sq--t"></i>timed out
-        <i class="sq sq--e"></i>errored · corner: highest finding <i class="sq sq--1 sq--c"></i>critical
-        <i class="sq sq--1 sq--h"></i>high <i class="sq sq--1 sq--m"></i>medium · <b>Leads</b>: rewarded trials whose
-        highest unexcused finding is high or critical.
-        <b>Output not in trace</b>: share of reported output tokens with no text in the trace, and why —
-        <span class="rz rz--hidden">hidden</span> encrypted, tokens reported · <span class="rz rz--unrecorded">unrecorded</span> no text
-        or count · <span class="rz rz--dropped">dropped</span> lost converting the session · <span class="rz rz--summary">summary</span> ·
-        <span class="rz rz--full">full text</span>.</p>
+      <p class="key"><i class="sq sq--1"></i>rewarded <i class="sq sq--1 sq--disc"></i>rewarded, not counted in our estimate
+        <i class="sq sq--0"></i>failed <i class="sq sq--t"></i>timed out <i class="sq sq--e"></i>errored
+        <i class="sq sq--0 sq--nt"></i>no trajectory <i class="sq sq--1 sq--fb"></i>fallback model in the trial ·
+        corner: highest finding <i class="sq sq--1 sq--c"></i>critical <i class="sq sq--1 sq--h"></i>high <i class="sq sq--1 sq--m"></i>medium<br>
+        <b>Our estimate</b> leaves out rewarded trials with an unexcused high or critical finding (review leads) and trials partly run by a
+        fallback model (a Gemini preview name served as another Gemini preview is an alias, not a fallback).
+        <b>Output per trial</b>: the median trial's output tokens, one scale across rows; the <span class="ob-key"></span> part has no text in
+        the trace: reasoning you can't read. <b>Cost</b>: recorded trial costs, uncosted trials priced from their tokens at the row's own
+        rates, and reasoning left out of the output tokens; ≥ where some trials have no usage at all.</p>
     </section>
 
     <section id="gaps" class="block">
       <header class="block-head"><h2>Gaps &amp; accounting</h2>
         <span class="muted small">trials per row unless marked · shading is the share · click a figure for its trials</span></header>
-      <p class="explain-line">The leaderboard's <b>output not in trace</b> comes from this group: recorded text per reported
-        output token, ≈3.2 when the trace holds everything. Where reasoning tokens are reported, their share is shown; trials under 80%
-        open from their count. <b>Unbilled</b> is the reverse gap: recorded reasoning missing from the output tokens, and so the cost.</p>
+      <p class="explain-line"><b>Hidden</b> is output the model generated whose text isn't in the trace: reasoning, never web
+        results (those are input). <b>Measured</b> where the harness reports reasoning tokens; otherwise estimated from the recorded
+        characters (≈3.2 per token when the trace holds everything). <b>Web</b>: of the trials that searched or fetched, how many
+        hold only the query or URL, not what came back. Tool-result pairing, call records missing from the steps, unanswered final
+        calls and timestamps are on each row's page: recording-format quirks that limit some checks (counted under Undecided) but
+        don't hide what the agent did.</p>
       <div class="scroll"><table id="gaps-table" class="grid grid--gaps"></table></div>
     </section>
 
     <section id="families" class="block">
       <header class="block-head"><h2>Findings by family</h2>
-        <span class="muted small">% of trials with an unexcused match, any priority · rewarded trials below · click for the row's findings</span></header>
+        <span class="muted small">dot area: share of trials with an unexcused match, any priority · filled: some were rewarded · click for the row's findings</span></header>
       <div class="scroll"><table id="families-table" class="grid grid--fam"></table></div>
     </section>
 

row.js

@@ -5,9 +5,13 @@
   const { D, el, link, pct0, fmt1, money, shortModel, rowPath, title, byId, OUTCOME, trialInfo, viewerHref, fullHref,
     reasoningChip, RZ_HELP, visibleShare, problems, problemChip, strip } = T;
   const DETAILS = window.TB21_DETAILS || {};
+  const compactN = n => (n >= 1e6 ? (n / 1e6).toFixed(1) + "M" : n >= 1e3 ? Math.round(n / 1e3) + "k" : String(n));
   const main = document.getElementById("row");
   const r = byId[new URLSearchParams(location.search).get("r")];
   if (!r) { main.replaceChildren(el("p", null, "Unknown row. "), link("index.html", "Back to the leaderboard")); return; }
+  const hubScript = document.createElement("script");
+  hubScript.src = rowPath(r) + "hub.js";
+  document.head.append(hubScript);
   document.title = "#" + r.rank + " " + title(r) + " · " + r.agent + " · TB2.1 annotated";
   const h = r.scan.holes, n = r.scan.trials;
   const full = Object.values(trialInfo[r.id]).filter(t => t.h).length;
@@ -32,6 +36,8 @@
             link(viewerHref(r, vid, fid), (t.task || "trial " + vid) + " · " + (t.attempt || "?")),
             el("small", null, OUTCOME[t.c] || ""));
           if (t.h) li.append(link(fullHref(r, vid), "full ↗", "full"));
+          const hub = (window.TB21_HUB || {})[vid];
+          if (hub) { const a = link(hub, "Hub ↗", "full"); a.target = "_blank"; a.rel = "noopener noreferrer"; li.append(a); }
           ol.append(li);
         });
       d.append(ol);
@@ -65,12 +71,14 @@
   const probs = problems(r);
   if (probs.length) { const c = el("p", "flags"); probs.forEach(p => c.append(problemChip(p))); head.append(c); }
 
+  const adj = r.scan.adjusted, tk = h.tokens, ce = h.cost;
+  const recount = r.lb.source === "recount";
   const stats = el("div", "stats");
   stats.append(
-    stat("Score", fmt1(r.lb.accuracy) + "%", "± " + fmt1(r.lb.ci95) + " · " + r.scan.rewarded + " of " + n + " trials rewarded"),
-    stat("Review leads", String(r.scan.leads), "leaderboard reward hacks " + fmt1(r.lb.rewardHacks) + "%", r.scan.leads ? "stat--hot" : ""),
-    stat("Output not in trace", pct0(h.text.unseen), "reasoning " + T.RZ[h.text.form] + (h.text.uncounted ? " · ≥" + pct0(h.text.uncounted) + " unbilled" : "")),
-    stat("Cost", money(r.lb.cost), "leaderboard · trials sum to " + money(h.costSum)));
+    stat(recount ? "Score" : "Leaderboard score", fmt1(r.lb.accuracy) + "%", "± " + fmt1(r.lb.ci95) + " · " + r.scan.rewarded + " of " + n + " trials rewarded"),
+    stat("Our estimate", fmt1(adj.accuracy) + "%", adj.rewarded + " of " + n + (adj.leads ? " · less " + adj.leads + (adj.leads === 1 ? " review lead" : " review leads") : "") + (adj.fallback ? " · less " + adj.fallback + (adj.fallback === 1 ? " fallback trial" : " fallback trials") : ""), adj.accuracy < r.lb.accuracy - 1 ? "stat--hot" : ""),
+    stat("Hidden reasoning", tk.outputMedian ? pct0(tk.hiddenMedian / tk.outputMedian) : "–", tk.outputMedian ? "of the median trial's " + compactN(tk.outputMedian) + " output tokens · " + (tk.measured ? "measured" : "estimated") : "no token counts"),
+    stat("Cost, our estimate", ce.estimate === null ? "–" : (ce.lowerBound ? "≥" : "") + money(ce.estimate), (!recount && r.lb.cost !== null ? "leaderboard " + money(r.lb.cost) + " · " : "") + "recorded " + money(ce.recorded)));
   const actions = el("div", "actions");
   actions.append(link(rowPath(r) + "highlights/index.html", "Highlights", "btn btn--primary"),
     link(rowPath(r) + "trajectories/index.html", "Full trajectories · " + full + " trials", "btn"),
@@ -121,9 +129,11 @@
   rz.append(reasoningChip(h), document.createTextNode(" " + RZ_HELP[h.text.form] + "."));
   trace.append(rz);
   const tstats = el("div", "stats stats--sm");
-  tstats.append(stat("Text per output token", String(h.text.allCpt), "≈3.2 when the trace holds all output"),
-    stat("Output not in trace", pct0(h.text.unseen), h.text.reasoningShare !== null ? "reasoning tokens " + pct0(h.text.reasoningShare) + " of output" : "estimated from the text"),
-    stat("Reasoning text", pct0(h.text.withText), "of trials record any"));
+  tstats.append(
+    stat("Output tokens, median trial", tk.outputMedian ? compactN(tk.outputMedian) : "–", tk.outputTotal ? compactN(tk.outputTotal) + " over the row" : ""),
+    stat("Hidden reasoning", tk.outputMedian ? compactN(tk.hiddenMedian) + " · " + pct0(tk.hiddenMedian / tk.outputMedian) : "–",
+      tk.measured ? "measured: reasoning tokens reported, no text" : "estimated: recorded text at ≈3.2 chars/token"),
+    stat("Text per output token", h.text.allCpt === null ? "–" : String(h.text.allCpt), "reasoning text in " + pct0(h.text.withText) + " of trials"));
   trace.append(tstats);
   if (h.sourceNote) { const q = el("p", "source-note"); q.append(el("b", null, "Source session files: "), document.createTextNode(h.sourceNote)); trace.append(q); }
   const HOLES = [
@@ -141,14 +151,18 @@
   /* What it cost. */
   const cost = panel("cost", "What it cost");
   const cstats = el("div", "stats stats--sm");
-  const gap = h.lbCost ? h.costSum - h.lbCost : 0;
-  cstats.append(stat("Leaderboard", money(h.lbCost)), stat("Sum of trial costs", money(h.costSum),
-    Math.abs(gap) >= 0.5 ? (gap > 0 ? "+" : "−") + money(Math.abs(gap)) + " against the leaderboard" : "matches"));
+  if (!recount && r.lb.cost !== null) cstats.append(stat("Leaderboard", money(r.lb.cost)));
+  cstats.append(stat("Recorded, sum of trials", money(ce.recorded), h.uncosted ? h.uncosted + " trials uncosted" : "every trial costed"),
+    stat("Our estimate", ce.estimate === null ? "–" : (ce.lowerBound ? "≥" : "") + money(ce.estimate),
+      [ce.imputedTrials ? "+" + money(ce.imputed) + " for " + ce.imputedTrials + " uncosted trials, from their tokens" : "",
+       ce.unbilled ? "+" + money(ce.unbilled) + " unbilled reasoning" : "",
+       ce.noUsage ? ce.noUsage + " trials with no usage: not priced" : ""].filter(Boolean).join(" · ") || "nothing to add"));
   cost.append(cstats);
+  if (ce.rates) cost.append(el("p", "muted small", "Rates fitted to this row's own trial costs and tokens: $" + ce.rates.uncached + " / $" + ce.rates.cached +
+    " / $" + ce.rates.output + " per million uncached input / cached input / output tokens (R² " + ce.rates.r2 + ")."));
   if (h.text.uncounted) cost.append(trials("uncounted", "Reasoning left out of output tokens",
     "The visible text alone fills the reported output tokens, so the recorded reasoning is on top: at ≈3.2 characters per token, at least " + pct0(h.text.uncounted) + " more output than reported, and so unbilled."));
   if (h.uncosted) cost.append(trials("uncosted", "Trials without a recorded cost"));
-  if (!h.text.uncounted && !h.uncosted && Math.abs(gap) < 0.5) cost.append(el("p", "muted small", "Every trial costed; the trials add up to the leaderboard's total."));
 
   // Two columns that fill independently: findings on the left; what ran, the trace and the cost on the right.
   const grid = el("div", "panels");

rows/01-codex--gpt-6-astra--high/highlights/index.html

@@ -11,6 +11,8 @@
   <script defer src="data.js"></script>
   <script defer src="highlights.js"></script>
   <link rel="stylesheet" href="../../../annot-nav.css">
+  <script defer src="../hub.js"></script>
+  <script defer src="../../../hub-link.js"></script>
 </head>
 <body>
   <nav class="annot-nav"><a class="annot-home" href="../../../index.html">TB2.1 annotated</a><a class="annot-row" href="../../../row.html?r=01-codex--gpt-6-astra--high">#1 · GPT-6 Astra · high <small>Codex</small></a><a href="../highlights/index.html" aria-current="page">Highlights</a><a href="../trajectories/index.html">Full trajectories</a><a href="../viewer/index.html">All trials · findings</a></nav>

rows/01-codex--gpt-6-astra--high/hub.js

@@ -0,0 +1 @@
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   <nav class="annot-nav"><a class="annot-home" href="../../../index.html">TB2.1 annotated</a><a class="annot-row" href="../../../row.html?r=06-claude-code--fable-5--xhigh">#6 · Fable 5 · xhigh <small>Claude Code</small></a><a href="../highlights/index.html">Highlights</a><a href="../trajectories/index.html" aria-current="page">Full trajectories</a><a href="../viewer/index.html">All trials · findings</a></nav>