paper v2.31.14: §3 ¶1 local-loss formula sign-consistency

Original §3 ¶1: "reducing a local loss of the form -<f_l, a_l>"
                = minimizing -<f, a>
                = maximizing <f, a>
                = "alignment with credit target is rewarded" (matches prose)

But "reducing a local loss of the form -X" reads awkwardly because the
"-" sign in front of an inner product looks like a typo or extra
negative. Replaced with the equivalent positive form:

  "maximizing a local objective of the form <f_l(h_l), a_l>"

This is mathematically equivalent (both give optimizer direction
∇W in the direction that increases <f, a>) but reads more cleanly.
The §3 ¶1 prose "any direction in which a larger block output
improves inner-product alignment with the method's fixed or learned
credit target is rewarded" now matches the formula directly:
maximizing <f, a> = rewarding alignment.

This relies on the convention e_T = one_hot - softmax (paper a_l is the
negative of the script's a_dfa). The script's positive-sign minimization
of local_loss = (f * a_dfa).sum() is the same operation under that
convention. If the convention is unfamiliar to a reader, the actual
direction (toward larger inner product with a fixed random direction)
is unambiguously stated by the prose.

Page layout preserved: 9 pages main, refs p10, 0 overfull boxes.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

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