diff --git a/www/bend.html b/www/bend.html
index 8dab879..cc455e8 100644
--- a/www/bend.html
+++ b/www/bend.html
@@ -134,7 +134,7 @@ make gpu-worker LUMBDA=asm                # smallest footprint</code></pre>
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       <td><code>cuda-sim-ops-bin</code></td>
       <td>RTX 3090</td>
-      <td>1.27&times; at 141 batches (9024 shots); crossover ~115 batches; <strong>SHAKE-RNG mode</strong> matches upstream Pareto bit-for-bit (&Sigma; Toffoli = 15,999,651,264, avg Toffoli = 1,773,011.000 on stock <code>ops.bin</code>)</td>
+      <td>1.27&times; at 141 batches (9024 shots); crossover ~115 batches; <strong>SHAKE-RNG mode</strong> matches upstream Pareto bit-for-bit (&Sigma; Toffoli = 15,999,651,264, avg Toffoli = 1,773,011.000 on stock <code>ops.bin</code>). <strong>Kernel wall scales linearly with &Sigma; Toffoli across circuit variants</strong> &mdash; <a href="https://www.foxhop.net/ecdsa">foxhop ecdsa lever sweep</a> at p=251 (n+1=9 secp256k1-toy) over 6 lumbda-emitted ops.bin variants ran 9.83&times; wall reduction Fermat-schoolbook &rarr; refined-Solinas, 261.4 ms &rarr; 26.6 ms / batch at 1024 shots; matches 6.95&times; &Sigma; Toffoli ratio + parallel Clifford drop. No scheduler surprise: pick any QECCOPS1 circuit, predict GPU wall from a cheap CPU op-counter.</td>
       <td><code>(cuda-sim-ops-bin "path/to/ops.bin" n-batches)</code> &mdash; <code>demo_ops</code> defaults <code>--rng-mode shake</code> (Fiat-Shamir over op stream); <code>--rng-mode lfsr</code> keeps legacy xorshift for debug parity</td>
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