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Author SHA1 Message Date
e4804adabc SI: adopt the clearer rewrite, with factual corrections; fix two build bugs it exposed
Prose: adopted the simplified rewrite for the Reproducibility preamble, SI
Text S1 and S2, and the two tables. It reads better - shorter sentences, no
shouty caps, no self-commentary in the proposition headings.

Fact-checked against the artifacts before adopting. Corrections:
- Table S2 said grounding retention used "18+ replicates per point". E2 uses
  100 lineages; 18 is the *neural* grounding sweep. (Pre-existing error,
  faithfully carried over by the rewrite.)
- The emergent parents' 0.535/0.474 are the accuracies at the LONGEST
  divergence (t_div=3200), not overall means (0.595/0.545); now qualified.
  Verified merge holds 0.954-0.956 at every divergence, residual exactly
  0.000 in both emergent conditions.
- Dropped an invented run date (2026-08-11; the run is from 2026-09-06) and
  an internal project-phase reference ("Phase 3").
- The llm_speciation duration question is no longer open - it ran, and found
  no isolation from over-training (1-12 epochs); text updated.
- Restored the confidence-weighting numbers the rewrite dropped: paired
  bootstrap contrast |rho| = -0.021, CI [-0.130, +0.059] (re-derived), plus
  the nuance that the weighting does sharpen the level contrast.
- "Minimal model" -> "biological model"; "LLM tier in progress" -> done.
- Trimmed an unverifiable citation ("neuron-identifiability approaches...")
  to the reference the bibliography actually carries.

Two rendering bugs the LaTeX version exposed, both pre-existing:
- Greek and several math symbols were absent from build.py's unicode map, so
  alpha and epsilon were rendering as missing-glyph boxes in the SI. Added
  Greek, set membership, superscripts, proper minus. Both PDFs now contain
  zero missing glyphs.
- inline() split on code spans BEFORE applying emphasis, so any italic
  containing `code` was torn into fragments - visible in the main text as a
  literal "is*" and mis-scoped italics on p. 3. Code spans are now stashed
  behind sentinels first. This fixed the manuscript, not just the SI.
- A leading markdown H1 leaked into the body as literal text; the wrapper
  supplies the title, so it is now skipped.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01BkRLcc18rwT2Lysu6PbG7v
2026-09-07 17:13:02 +01:00
a88289964a SI Methods: a full experimental-procedures appendix
Replaces the three-paragraph methods sketch with a scientific account of how
the study was run (M1-M7):

- M1 design principles: cheapest falsifying tier; match claim precision to
  instrument precision; every tier gets an oracle independent of the model
  being measured; falsifiers declared before running.
- M2 replication: what a replicate *is* differs by tier (independent lineage /
  lineage incl. fresh init and data order / training seed with test sets held
  fixed), and a table giving every experiment's replicate count with the
  reasoning - why 200 for E4 (per-item binary outcomes), 60 for the bridge
  gate (must detect any departure), 3-5 where the contrast is categorical,
  and 1 for the 7B runs, labelled as single runs.
- M3-M5 per-tier procedures: parameter choices and their justification, the
  correlated-parent construction, why the neural sandbox is synthetic (a
  lossless identity code plus style entropy gives an exact oracle while still
  forcing the model to learn a distribution), MNIST modes and the frozen-CNN
  oracle with its confusion matrix as measurement floor, why no-BatchNorm MLPs
  for the alignment analysis, and for the LLM tier: why Qwen 0.5B/7B (one
  family so scale is the only variable), why procedural tasks rather than a
  benchmark (exact verifier, contamination-free, controlled disjointness, a
  difficulty knob), why LoRA (confines each parent to an additive low-rank
  delta over an identical base, which is what makes weight-space
  recombination well defined), the training algorithm, and the split scheme.
- M6 negative controls, including the one that removed a result: the
  compatible-overlap axis collapsed the delta-cosine predictor from rho=+0.60
  to +0.03.
- M7 statistical procedures.

Also: SI voice converted to first person and terminology synced to the
"biological model" rename; removed a process ghost from the preamble
("Skeleton assembled at Phase 4"); build.py now takes a document argument and
no longer eats documents that lack a title block, so the SI compiles via a new
si.tex wrapper (10 pp). `make paper` builds both PDFs.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01BkRLcc18rwT2Lysu6PbG7v
2026-09-07 16:04:52 +01:00
0159e2839a New Fig. 1 (experimental-programme schematic); Table 2 to SI; figures in citation order; Fig. 2B legible labels
Replaces the results table with a pipeline figure: five questions x three
architecture tiers (exact Wright-Fisher simulator, trained networks, language
models), filled cells naming the experiments, dashed cells the honest gaps.
Table 1 (the dictionary) stays; Table 2 moves to SI Appendix Table S2. The
renumber surfaced a pre-existing citation-order violation (the LLM figure was
cited in the recombination section before Figs. 3-6), so figures are renumbered
to strict first-citation order (LLM tier is now Fig. 3). Fig. 2B: the montage's
baked-in raster labels are cropped away and replaced with vector row numbers
under a rotated "generation" header.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01BkRLcc18rwT2Lysu6PbG7v
2026-09-07 11:12:33 +01:00
bf4b1c077c Phase 4: PNAS research-article draft (main.md + composed figures + SI skeleton)
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
2026-09-06 18:24:58 +01:00