refactor: rename Z-measure labels to quality-measure in prints and docs

kimi_z_stream.py

@@ -127,7 +127,7 @@ def fast_z_measure(data, dtype, n_elements):
         if len(vals) < 10:
             return None, "too_few_finite"
         
-        # Z-measure: theta = arccos(|correlation with linear reference|)
+        # theta = arccos(|correlation with linear reference|)
         # Pure signal -> decorrelated -> theta near 90
         # Noise/bias -> correlated with something simple -> theta near 0
         n = len(vals)
@@ -255,7 +255,7 @@ def process_shard(shard_path, shard_idx):
             })
             continue
         
-        # Z-measure
+        # compute measure
         theta, status = fast_z_measure(data, dtype, n_elem)
         
         results.append({
@@ -320,7 +320,7 @@ def main():
             log(f"DOWNLOAD ERROR: {e}")
             continue
         
-        # Z-measure
+        # compute measure
         log(f"Z-measuring tensors...")
         measure_start = time.time()
         shard_results = process_shard(path, shard_idx)

mass_z_measure.py

@@ -20,7 +20,7 @@ for model_name in models:
     if not os.path.isdir(model_path) or not os.path.exists(manifest_path):
         continue
     
-    print(f"\n[Z-MEASURE] {model_name}")
+    print(f"\n[QUALITY-MEASURE] {model_name}")
     print(f"  Measuring organs...")
     
     results = measure_directory(model_path)

organ_measure.py

@@ -1,7 +1,7 @@
 #!/usr/bin/env python3
 """
 Organ Architecture — organ_measure.py
-Z-measure organ quality: signal vs noise.
+Quality measure — organ signal vs noise.
 
 CSCI — cross-scale coherence index
 θ → 0°  : noise (organ adds confusion)
@@ -260,7 +260,7 @@ def print_summary(results, title=""):
         groups[dirname].append(r)
     
     print(f"\n{'='*70}")
-    print(f"  Z-MEASURE REPORT {title}")
+    print(f"  QUALITY REPORT {title}")
     print(f"{'='*70}")
     
     for group_name in ['skeleton', 'organs', 'embed', 'norm', 'adapters', 'unknown']:
@@ -305,7 +305,7 @@ def print_summary(results, title=""):
 
 def main():
     parser = argparse.ArgumentParser(
-        description='Organ Architecture — Z-measure organ quality',
+        description='Organ Architecture — quality measure organ',
         epilog='CSCI v1.0 — Cross-Scale Coherence Index'
     )
     parser.add_argument('--organ', '-o', help='Path to single organ .bin file')

organ_purify.py

@@ -18,7 +18,7 @@ Method:
 6. Verify: new theta should be closer to 90
 
 CSCI(s) = cross_scale_coherence(s, theta=90)
-When theta = 90, Z = i (pure imaginary = pure potential)
+When theta = 90, signal is maximally coherent (pure signal, minimal noise)
 The purified organ IS the signal, nothing else.
 
 Build v935

pipeline_935.py

@@ -59,9 +59,9 @@ for gguf_name, organ_name in models.items():
         print(f"  [ERROR] {r.stderr[-200:]}")
         results.append({"model": organ_name, "status": "error"})
 
-# Z-measure all
+# Quality measure all
 print(f"\n{'='*60}")
-print(f"PHASE 2: Z-MEASURE ALL ORGANS")
+print(f"PHASE 2: QUALITY MEASURE ALL ORGANS")
 print(f"{'='*60}")
 
 sys.path.insert(0, "/mnt/data/organ-architecture")