1 files changed, 6 insertions, 2 deletions

diff --git a/README.md b/README.md
index db3413b..c0979c6 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,8 @@
-# GRAFT (KAFT): Topology-Factorized Jacobian-Aligned Feedback for Deep GNNs
+# KAFT: Topology-Factorized Jacobian-Aligned Feedback for Deep GNNs
+
+> Internal class names (`GraphGrAPETrainer`, file paths starting with
+> `graft_*` / dataset keys `'GRAFT'`) are the original code identifier.
+> The method is referred to as **KAFT** in the paper.
 
 Code release accompanying the NeurIPS 2026 submission.
 
@@ -20,7 +24,7 @@ computed in O(1) parallel depth on GPUs.
 
 ```
 src/               core method
-  trainers.py      BPTrainer, GraphGrAPETrainer (KAFT), DFA/DFA-GNN, alignment
+  trainers.py      BPTrainer, GraphGrAPETrainer (= KAFT), DFA/DFA-GNN, alignment
   data.py          PyG dataset loaders, normalized  / row-Â, sparse-mm helpers
 experiments/       one runner per reported result block (see `## Reproducing`)
 figures/           figure generators + the four rendered PDFs in the paper