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Update logbook: Repro - Networked Information Aggregation for Binary Classification
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Claim 5 - Sequential logit protocol


Verdict: supported. Section 2 (PDF page 3) defines a topologically ordered DAG. Agent i sees only local features x_{S_i} and parent logits z_j, then minimizes expected BCE for

z_i(x)=w_i^T x_{S_i} + sum_{j in Pa(i)} v_ij z_j(x),
p_i(x)=sigmoid(z_i(x)).

The reproduction implements exactly this logit-span update on a path; it never substitutes probabilities for parent logits. Loss was non-increasing at every within-k trajectory transition, and the hard-instance relevant-information suffix invariant held exactly. The abstract loosely says “prediction columns,” but the formal protocol and proof use logits.