It worked.

README.md

@@ -91,26 +91,6 @@ Stage 3 — GENERATE
 
 ## Files
 
-### Training Scripts
-- `flow_match_relay.py` — v1: constellation as regulator
-- `flow_match_constellation_bn.py` — v2: skip bypass test + v3: pure bottleneck
-- `constellation_diffusion.py` — v3: pure bottleneck (no skip)
-- `glfm.py` — v4: geometric lookup flow matching
-
-### Analysis Scripts
-- `analyze_diffusion.py` — v1 analysis (10 tests)
-- `analyze_bn.py` — v2 analysis (skip vs constellation ablation)
-- `analyze_cd.py` — v3 analysis (pure bottleneck, drift histogram)
-- `analyze_glfm.py` — v4 analysis (multi-scale, address separability)
-
-### Relay Prototype Scripts
-- `constellation_relay.py` — v2 vectorized relay (19K params, 99.4% preservation)
-- `cv_attention_test.py` — attention geometric analysis (10 tests)
-- `rope_vs_relay.py` — RoPE comparison (7 tests)
-- `hybrid_relay.py` — hybrid cross-token relay (GPT challenge)
-- `pairwise_relay.py` — pairwise constellation relay
-- `scale_sweep.py` — production-scale depth × sequence length
-
 ### HuggingFace Integration
 - `configuration_flow_match.py` — PretrainedConfig
 - `modeling_flow_match.py` — PreTrainedModel (AutoModel compatible)