fix: P-DivGNN is a periodic micro-RVE (not holed plate); clarify param-matching

README.md

@@ -59,7 +59,8 @@ connectivity.
 - **Developed by:** Efradeca
 - **Model type:** Neural operator (transformer PDE surrogate) for 2-D static hyper-elastic stress
 - **Inputs / outputs:** node coordinates `(B, 972, 2)` → per-node von Mises stress `(B, 972)`
-- **Parameters:** 582,275 (parameter-matched to the official LinearNO Elasticity configuration)
+- **Parameters:** 582,275 (the 3-channel equilibrium model; sized to match the official LinearNO
+  Elasticity configuration, ≈585k, and ≤ our Transolver baseline's 713,665)
 - **License:** MIT
 - **Built on (not original to this work):** the **Transolver** solver (Wu et al., ICML 2024, MIT — its
   attention block is reused verbatim) and an independent, from-equations reimplementation of the
@@ -68,8 +69,9 @@ connectivity.
 ### What is and isn't novel (read this)
 
 The soft equilibrium-residual penalty `λ‖∇·σ‖²` on a predicted stress field is **established prior art**
-(PI-UNet 2022; PiFNO 2024; and especially **P-DivGNN 2025**, which uses the same loss and the same
-three-component Cauchy-stress target on the same kind of holed mesh). We do **not** claim the idea. This
+(PI-UNet 2022; PiFNO 2024; and especially **P-DivGNN 2025**, which uses essentially the same
+soft-divergence loss and the same three-component Cauchy-stress target on an unstructured mesh — a
+periodic micro-RVE). We do **not** claim the idea. This
 repository's actual contribution is (1) a specific, previously-unattested **instantiation** — the penalty
 on a *transformer* operator with a *meshfree, connectivity-free* MLS divergence (exact on affine fields by
 the degree-1 GMLS reproduction property), distinct from the FE / FFT / finite-difference operators of all