docs: accessible figure legends (README.md) for all figures

One self-contained README.md per results/ figure folder (Layer 1 E1-E6
and Layer 1.5 bridge/collapse/grounding/architectures/recombination):
plain-language claim, setup, a compact symbol glossary, a panel-by-panel
walkthrough, and the takeaway + falsifier. Auto-renders when browsing the
folder; carries the honest caveats (grounding's ruler reframing, the
excluded VAE).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

results/E3/README.md

@@ -0,0 +1,33 @@
+# E3 — Grounding must overlap the content it protects
+
+**Claim tested:** if your budget of real data is fixed, does it matter *where* you spend it? Is it
+enough to sprinkle real data uniformly, or must it target the knowledge you care about?
+
+**Setup (Layer 1, pure math).** `K = 1000` items divided into `R = 10` disjoint **regions** (think
+subject areas). `n = 200`, 400 generations, 100 repeats. The **same total** real-data budget is
+spent two ways: **uniform** (spread evenly over all 10 regions) vs **matched** (concentrated on the
+"exercised" region we want to protect). One region is designated exercised (region 0 here) and has a
+rare tail we track.
+
+### Symbols
+- **region** — a block of related items; a stand-in for a task family / subject area.
+- **matched vs uniform** — real data aimed at the exercised region vs spread evenly, at equal total budget.
+- **tail items alive** — how many rare items in a region still have any probability.
+
+### The two panels
+1. **Target region over time.** Rare-item survival in the exercised region, generation by generation:
+   blue = matched, red = uniform (bands = 95% CI). Matched **holds** the region's tail alive; uniform
+   spreads too thin and lets it **collapse**.
+2. **Every region at steady state.** Bar chart of stationary tail survival per region, matched (blue)
+   vs uniform (red); the dotted line marks the exercised region. Matched wins big *there* — at the
+   cost of the regions it deliberately ignores. Uniform is mediocre everywhere.
+
+*(Note: per-region diversity `H` is confounded by how much probability mass sits in a region, so this
+figure uses the honest, mass-independent metric — tail-item survival.)*
+
+### Takeaway
+Reality checks only protect what they actually cover. To keep a capability alive you must ground
+**on that capability**, not on data in general — grounding is local, not a global tonic. Key numbers:
+exercised-region tail survival ≈ **0.49 (matched)** vs **0.07 (uniform)** at equal budget.
+**Falsifier (not triggered):** if uniform had protected the region as well as matched, the
+targeting claim would die.