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<title>Stage-1 gate β€” Cosmos</title>
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<h1>Stage-1 gate β€” does the action-motion encoder transfer to Cosmos?</h1>
<div class=sub>tokenizer <code>cosmos-cv4x8x8</code> &middot; generated 2026-07-31 07:55:33Z</div>
<p><span class=verdict>NO TRANSFER</span> &nbsp; the encoder learns well (D beats zero by 32.3%, C by 33.0%), but the action map adds NOTHING over tactile-only (D is 1.0% worse than C; Wan2.2 had D +3.3% over C). The conditioning signal Stages 2-3 inject is redundant here.</p>
<div class=note>
The encoder predicts per-latent-transition tactile flow. <b>Active-pixel EPE</b> is the
endpoint error over pixels whose ground-truth motion exceeds the active threshold;
lower is better. The zero-motion baseline on this val split is
<b>1.2195</b> (Wan2.2: 1.612).
An ablation is only meaningful if it beats that.
</div>
<table>
<tr><th>ablation</th><th>inputs</th><th class=num>EPE (Cosmos)</th>
<th class=num>EPE (Wan2.2)</th><th class=num>&Delta;</th><th class=num>trained</th></tr>
<tr><td><b>D</b><div class=muted>(z_ctx, a) -> F</div></td><td class=muted>action map + tactile state</td><td class='num win'>0.8254</td><td class='num muted'>1.130</td><td class='num muted'>-0.305</td><td class='num muted'>12 ep</td></tr><tr><td><b>B</b><div class=muted>action only</div></td><td class=muted>action map only</td><td class='num win'>1.0553</td><td class='num muted'>1.362</td><td class='num muted'>-0.307</td><td class='num muted'>12 ep</td></tr><tr><td><b>C</b><div class=muted>tactile only</div></td><td class=muted>tactile state only</td><td class='num win'>0.8170</td><td class='num muted'>1.168</td><td class='num muted'>-0.351</td><td class='num muted'>12 ep</td></tr>
</table>
<div class=note>
<b>&Delta; is context, not a result.</b> The two columns are not measured over the same
interval: a Wan2.2 latent transition spans 5 frame pairs at 6&nbsp;fps (0.83&nbsp;s),
a Cosmos one spans 4 pairs at 30&nbsp;fps (0.13&nbsp;s) β€” <b>6.2&times; less motion
time</b> β€” on top of a different tokenizer and dataset. The magnitudes happen to
land in a similar range because gel deformation saturates rather than accumulating,
but that is a coincidence of contact mechanics, not a controlled comparison.
<b>Judge the gate on the ordering</b> (D &lt; C &lt; B &lt; zero) <b>and on D's
relative margin over zero</b>, both measured entirely within the Cosmos column.
</div>
<div class=note><b>Seeds.</b> 3 seeds per ablation. The D-vs-C increment is -0.9% &plusmn; 0.6% (std). The sign is stable across seeds.</div>
<h2 style="font-size:17px;margin-top:32px">What the two ablations actually see</h2>
<p>D's input is a strict superset of C's: the same tactile latent, plus the action
map. <b>D &minus; C is therefore exactly what knowing the sensor's own motion buys
you beyond looking at the gel</b> β€” the signal Stages 2-3 inject.</p>
<img src="stage1_cosmos.png" style="width:100%;border:1px solid #d8dee4;border-radius:6px">
<div class=note>
The action map (purple) is a near-<b>constant</b> field: 99.5% of its energy is
global translation, so it carries about one 2-D vector. The AllTracker target
(red) is only 33% global translation β€” two thirds is spatial structure a constant
field cannot express. That is why B (action only) is far behind, and why D adds
nothing C does not already have.
</div>
<h2 style="font-size:17px;margin-top:32px">Cosmos vs Wan2.2</h2>
<img src="stage1_cosmos_vs_wan.png" style="width:100%;border:1px solid #d8dee4;border-radius:6px">
<div class=note>
The ordering broadly agrees β€” action-only weakest, tactile dominant. What differs
is the increment the recipe rests on. Note <b>D did not get worse</b> on Cosmos
(29.9 &rarr; 32.3): <b>C got better</b> (27.5 &rarr; 33.0). The Cosmos tactile
latent already carries more of the motion, leaving no headroom. And the increment
was only +3.3% on Wan2.2 to begin with.
</div>
<p class=muted>Raw metrics: <a href="data.json">data.json</a></p>
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