Files
Robert Allan JamesandClaude Sonnet 5 cf5b08fb65 Stadium relaunch: full 127-page deep-dive report -- per-cell, per-ISA,
every factor interaction, and a raw-data appendix

Expanded the campaign-mechanism validation report from a condensed
6-page summary into the full depth Captain Bob asked for: analyze all 9
cells as a conglomerate Latin square, then dive into each cell's own
data, then cover every within-ISA and cross-factor interaction
explicitly rather than averaging it away.

Report structure (127 pages, compiled clean, no undefined references):
- Front matter: context, methodology, the SWAP-MTX bug narrative
  (console-interleaving fix + the Fisher-Yates correctness bug and its
  fix, both already committed separately)
- Layer 1: aggregate 3x3 Latin square (heatmap, invariant-metrics table)
- Per-Cell Deep Dive (9 sections): cfg-level distribution, summary
  table, and a rep-order execution-trajectory chart per cell -- the
  trajectory charts are what actually visualize the order-dependence
  finding rather than just stating it
- Per-ISA Deep Dive (3 sections): within-architecture seed comparison
  (violin plots, Kruskal-Wallis, per-factor main effects)
- Factor Interactions (6 sections, every pairwise combination of the 4
  L8 binary factors): both infer_dec_q and early_exit interaction plots
  faceted by architecture, plus the three-way
  factor x factor x architecture significance test
- Per-Factor Response (4 sections): linear response by architecture,
  with an explicit note that a true quadratic term isn't identifiable
  from this 2-level factorial design
- Appendix: full run_id-ordered raw data, all 4,320 rows across all 9
  cells, as the primary-source backing for every statistic above

Generated programmatically (analyse_stadium_relaunch_fixed.R for the
aggregate layer, generate_stadium_deepdive.R for the per-cell/per-ISA/
interaction/appendix layers) rather than hand-authored, since content at
this scale needs to be data-driven to stay honest.

Also includes analyse_stadium_relaunch.R, the earlier script built
against the pre-fix (buggy-shuffle) dataset -- superseded but kept for
the record, matching how the underlying data commits were handled.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-08-20 13:10:01 -04:00
..