Already-public plots · numerical archive only

Measurements

The five plots below are the public renders. Numbers in the table come from the archive operating-map table (22 cells, 330 subcells, 65,868 merges). Llama-2-13B is an addendum and is excluded from this n=22 freeze. Raw arrays stay in Source / Archive, not in this hero.

Gain versus constructive fraction
Gain versus constructive fraction. Each point is one ROME cell. Perturbation gain (median |drop| / dose, log axis) versus the share of merges whose logit drop is negative. The vertical cut at gain = 8 separates the destructive and constructive clouds. Source / Archive: gain-law table.
Cross-talk versus merge size
Cross-talk versus merge size. Spearman between the projected cross-term and the observed drop, plotted against group size g. High-gain cells stay positive at small g; low-gain deep cells (Qwen2.5-14B L36, gpt2-xl L36) sit below zero. Source / Archive: cross-term alignment table.
Geometry-ordered admission
Geometry-ordered admission. Mean logits of damage avoided per admitted edit when the cheapest 25% or 50% of pairs are kept, comparing key-geometry order against a magnitude-only order. The high-gain benefit +0.647 is measured retrospectively as a member-target quantity under fixed composition. Source / Archive: admission-benefit table.
Dose response by group size
Dose response by group size. Median |drop| per edit against g. High-gain cells remain loud; low-gain cells stay quiet even as groups grow. Source / Archive: operating-map table.
Partial geometry correlation
Partial geometry correlation. Partial ρ(I_cos, drop | I_mag) by g, split by regime. The horizontal line is the pre-registered partial floor (+0.15). Saturated cells are drawn hollow. Each cell carries its own geometry-valid window: g ≤ 5 at the reference cell, wider at six further qualifying cells. Source / Archive: operating-map table.

22-cell operating table

Gain and constructive fraction are cell-level. Partial ρ columns are three-seed means at that g. High-gain / low-gain is the gain = 8 screen.

modelLgainfrac<0regimeρ g=2ρ g=3ρ g=5ρ g=10
Llama-3.2-1B864.5240.041high-gain0.2340.2750.2390.155
Qwen2.5-3B1837.2400.332high-gain0.1000.1610.1800.208
Llama-3.2-3B2132.0110.022high-gain0.5580.5530.5450.455
Llama-3.2-1B1428.6650.013high-gain0.3170.2810.1850.094
Mistral-7B-v0.32428.2950.278high-gain0.3250.3880.4040.506
Qwen2.5-1.5B1428.1490.242high-gain0.1460.2420.2760.341
Llama-3.2-1B1227.2070.025high-gain0.4690.4840.3200.150
Llama-3.1-8B2422.2070.127high-gain0.3580.4470.5210.579
gemma-2-2b1320.0170.287high-gain0.0800.0300.0360.052
Phi-3.5-mini1615.6360.252high-gain0.0990.1460.2150.234
gemma-2-9b3112.4910.119high-gain0.2530.1800.0980.020
gemma-2-2b1912.4830.115high-gain0.1270.1050.1040.050
Mistral-Nemo-Base-24073010.6870.423high-gain0.0190.0970.1610.305
Phi-3.5-mini243.9100.460low-gain-0.245-0.0850.0870.481
Qwen2.5-3B273.6250.430low-gain0.0370.0990.3180.576
Qwen2.5-7B213.4510.349low-gain0.1440.2030.3370.359
gpt2-xl243.4100.711low-gain-0.125-0.142-0.0500.074
Qwen2.5-1.5B213.2990.420low-gain-0.0120.0500.1640.325
Qwen2.5-14B363.1020.836low-gain-0.458-0.392-0.399-0.193
Qwen2.5-1.5B241.1100.471low-gain-0.031-0.001-0.0070.057
gpt2-xl360.8410.725low-gain-0.160-0.169-0.211-0.224
gpt-neox-20b330.1030.634low-gain0.0190.0300.1020.090