Add Models benchmarked static links block (was missing entirely)

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     <p><b>Jev (TypeSafe), text-only.</b> The hosted System-One model reads page OCR only (no image). On our-200 it scores 0.637 F1 / .29 κ — high precision, low recall (under-splits textually-similar form/receipt pages), and giving it the whole document instead of adjacent pages does not help (pairwise 0.650). Confirms split is image-native: text alone tops out ~0.64 F1 here, far below the image models (ours 0.944).</p>
     <p><b>Metric.</b> Ours &amp; cloud: micro boundary-F1 + κ over internal pages, identical harness. OpenPSS rows: their published per-stream page-F1 (ballpark-comparable). Tobacco incumbents report accuracy — compared via κ. AI-Lab-Splitter omitted: data gated, absolute F1 paywalled.</p>
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+  <p id="models-benchmarked" style="color:var(--muted);font-size:12.5px;margin-top:28px;max-width:88ch">
+    <strong>Models benchmarked:</strong>
+    <a href="https://huggingface.co/nutrientdocs/doc-split-v2">nutrientdocs/doc-split-v2</a> ·
+    <a href="https://huggingface.co/nutrientdocs/doc-split-v1">nutrientdocs/doc-split-v1</a> ·
+    <a href="https://huggingface.co/nutrientdocs/nutrient-document-decision">nutrientdocs/nutrient-document-decision</a> ·
+    <a href="https://huggingface.co/agiagoulas/bert-pss">agiagoulas/bert-pss</a>.
+    Cloud VLMs (no public HF page): Gemini 2.5 Pro / Flash · GPT-sol · Claude Opus.
+    OpenPSS SHORT/LONG specialists and AI-Lab-Splitter: published results, no public HF page.
+  </p>
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