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Section 8.1, paragraph 1The experiments' networks differ from the theorem's gates; finite results do not settle asymptotic ones

Informal interpretation Motivation, interpretation or scope; not a formal claim.

1 Paper text

The simulation theorem concerns Boolean literal-threshold gates with nonnegative weights and bounded thresholds, including their permitted compositions. The experiments use floating-point signed linear layers and ReLU as well as LayerNorm and a Log-Softmax loss. Their difference from the theorem therefore extends beyond normalisation layers. A failure at one finite board size does not establish an asymptotic representational impossibility; success on a finite dataset does not establish strong mastery. The controlled comparison supports a narrower empirical conclusion: the reported transition representation is much easier to learn under this supervised protocol.

Generated from paper_jmlr.tex, lines 1225–1228.

2 Explain this

The theorem's gates (nonnegative weights on Boolean literals, bounded thresholds) and the experiments' networks (floating-point signed linear layers, ReLU, LayerNorm, Log-Softmax loss) differ in more than normalisation. Two consequences: a failure at one finite board size does not prove an asymptotic impossibility, and success on a finite dataset does not prove strong mastery. What the experiment supports is narrower: under this supervised protocol, the transition representation is much easier to learn.

3 How this is formalised

A scope statement relating Theorem 2.4 to the empirical records; nothing further is formalised.

Coverage record
Paper anchorsec:idealisation-p1 (website anchor; the manuscript has no label here)
Displayed asSection 8.1, paragraph 1
ClaimThe experiments' networks differ from the theorem's gates; finite results do not settle asymptotic ones
Coverage categoryInformal interpretation
Statement sourcepaper_jmlr.tex lines 1225–1228; SHA-256 of the normalised block source d46857718fdf6b1d…
Explanationsexplain/c-idealisation, formal/c-idealisation
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4 Lean statement and source

No Lean statement corresponds to this claim. This is interpretation or motivation, not a formal mathematical claim.

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