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<p class="lead">Independent reproduction · arXiv 2605.01082v1 · OpenReview mrtg4NmvAe</p><h1>Networked Information Aggregation for Binary Classification</h1>
<p>Exact BCE identities, sequential logit-passing, and depth-bottleneck evidence with primary sources pinned.</p>
<section class="grid"><div class="card"><div class="n">22/22</div><div>scientific gates</div></div><div class="card"><div class="n">48</div><div>network panels</div></div><div class="card"><div class="n">56</div><div>lower-bound cells</div></div><div class="card"><div class="n">48/48</div><div>probability control worse</div></div></section>
<img src="outputs/networked_information_audit.png" alt="BCE identity, protocol, and lower-bound diagnostics">
<p class="scope"><strong>Scope:</strong> The upper result requires M-coverage and bounded features/coefficients. The lower construction has D=kp and p≤k−1; “matching” means the depth bottleneck, not identical exponents. The protocol passes logits, not probabilities.</p>
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