Update org card: DD paper published, list public PoC models post-migration

index.html

@@ -94,21 +94,36 @@
   <li><strong>Agent Memory</strong> — Encrypted semantic memory infrastructure for persistent agent context</li>
   <li><strong>Adversarial Safety</strong> — Multi-agent stress-testing and trust verification for autonomous systems</li>
   <li><strong>Perception Systems</strong> — On-device vision, voice, and multimodal understanding</li>
-  <li><strong>Disposition Distillation</strong> — Training behavioral tendencies (planning, uncertainty acknowledgment, self-verification) into sub-billion parameter model weights via all-MIT multi-teacher distillation</li>
+  <li><strong>Disposition Distillation</strong> — A three-arc study finding that imitation, attention-head tempering, and frozen-base sidecars all fail to move judge-measured disposition without damaging content quality at sub-billion scale (<a href="https://arxiv.org/abs/2604.11867">arXiv:2604.11867</a>).</li>
 </ul>
 
-<h2>Research Releases</h2>
+<h2>Open-Source Releases</h2>
+
+<p><strong>Tinman SmolOmni (MLA)</strong> — small omnimodal models with multi-head latent attention.</p>
+
+<table>
+  <thead>
+    <tr><th>Model</th><th>Description</th></tr>
+  </thead>
+  <tbody>
+    <tr><td><a href="https://huggingface.co/Tinman-Lab/Tinman-SmolOmni-MLA-256M">Tinman-SmolOmni-MLA-256M</a></td><td>256M parameter omnimodal</td></tr>
+    <tr><td><a href="https://huggingface.co/Tinman-Lab/Tinman-SmolOmni-MLA-500M">Tinman-SmolOmni-MLA-500M</a></td><td>500M parameter omnimodal</td></tr>
+    <tr><td><a href="https://huggingface.co/Tinman-Lab/Tinman-SmolOmni-MLA-Toolkit">Tinman-SmolOmni-MLA-Toolkit</a></td><td>Training and inference toolkit</td></tr>
+  </tbody>
+</table>
+
+<p><strong>Tinman Companion</strong> — Gemma 4 fine-tunes for on-device companion use cases.</p>
 
 <table>
   <thead>
-    <tr><th>Model</th><th>Size</th><th>Description</th></tr>
+    <tr><th>Model</th><th>Description</th></tr>
   </thead>
   <tbody>
-    <tr>
-      <td><a href="https://huggingface.co/Tinman-Lab/tinman-code-0.6B">tinman-code-0.6B</a></td>
-      <td>418 MB</td>
-      <td>Research release — Disposition Distillation proof-of-concept on Qwen3-0.6B</td>
-    </tr>
+    <tr><td><a href="https://huggingface.co/Tinman-Lab/Tinman-gemma4-companion-merged">Tinman-gemma4-companion-merged</a></td><td>Full-precision merged model</td></tr>
+    <tr><td><a href="https://huggingface.co/Tinman-Lab/Tinman-gemma4-companion-gguf">Tinman-gemma4-companion-gguf</a></td><td>GGUF quantized for llama.cpp</td></tr>
+    <tr><td><a href="https://huggingface.co/Tinman-Lab/Tinman-gemma4-companion-litert-lm">Tinman-gemma4-companion-litert-lm</a></td><td>LiteRT-LM for on-device deployment</td></tr>
+    <tr><td><a href="https://huggingface.co/Tinman-Lab/Tinman-gemma4-companion-sft">Tinman-gemma4-companion-sft</a></td><td>SFT checkpoint</td></tr>
+    <tr><td><a href="https://huggingface.co/Tinman-Lab/Tinman-gemma4-companion-dpo">Tinman-gemma4-companion-dpo</a></td><td>DPO checkpoint</td></tr>
   </tbody>
 </table>
 
@@ -117,7 +132,8 @@
 <p class="links">
   <a href="https://tinmanlab.com">Website</a>
   <a href="https://github.com/tinmanlabsl/">GitHub</a>
-  <span style="color: #888;">Research Paper — coming soon</span>
+  <a href="https://arxiv.org/abs/2604.11867">Paper (arXiv)</a>
+  <a href="https://github.com/tinmanlabsl/disposition-distillation">DD Artifacts</a>
 </p>
 
 </body>