paper/pnas/main.md — the manuscript restructured as a research article (~5.6k words main text): significance statement, abstract, introduction (diagnosis conceded; the management thesis; the interpretation/ explanation/prediction ladder with the prediction rung stated as a bounded controlled test), the minimal model with its exactness boundary (learning kernel cited against ourselves), Table 1 dictionary with per-row support levels, a five-step results ladder (grounding floor; conservation law + operator boundaries + Fisher-Muller + directed sex + mating structure; the jointly-necessary society; speciation across three tiers with the emergent null; the controlled predictive test at second-review calibration), discussion (design rules, borrowed-vs-ours ledger, limits with the reviewer's generalisation-before-scale ordering, what biology gets back), brief methods, 30 references. build.py composes 6 figures by stacking committed vector PDFs (bespoke unified re-plots deferred to submission polish); builds clean under tectonic (15 pp incl. 6 full-page figures). si.md: SI skeleton (propositions, claims ledger, per-tier methods, statistics, figure list). Manifesto sections of v6 (institutions, timescales, re-minting) compressed into Discussion per the plan; v6 remains the long-form perspective document. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01BkRLcc18rwT2Lysu6PbG7v
27 lines
975 B
TeX
27 lines
975 B
TeX
% PNAS draft — readable single-column build for review/iteration (tectonic/XeLaTeX). Content is
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% generated from main.md by build.py; the pnas.cls reflow happens at submission (Phase 5).
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\ifdefined\XeTeXversion\else\ifdefined\pdfoutput\pdfoutput=1\fi\fi
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\documentclass[11pt]{article}
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\usepackage[a4paper, margin=1.0in]{geometry}
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\usepackage{graphicx}
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\usepackage{amsmath, amssymb}
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\usepackage[hidelinks]{hyperref}
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\usepackage{microtype}
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\setlength{\parskip}{0.35em}
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\title{\textbf{The evolution of sex for artificial intelligence}\\[0.5em]
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\large A population-genetic framework for multigenerational model populations}
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\author{Giorgio F.\ Gilestro\\[0.2em]
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\normalsize Department of Life Sciences, Imperial College London\\
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\normalsize \href{mailto:giorgio@gilest.ro}{giorgio@gilest.ro} \,\(\cdot\)\,
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\href{https://lab.gilest.ro}{lab.gilest.ro}}
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\date{PNAS draft --- generated from \texttt{paper/pnas/main.md}}
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\begin{document}
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\maketitle
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\input{body}
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\end{document}
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