diff --git a/tests/test_holonomy_resonance.py b/tests/test_holonomy_resonance.py
index 17b6dceb..58feabc6 100644
--- a/tests/test_holonomy_resonance.py
+++ b/tests/test_holonomy_resonance.py
@@ -19,9 +19,9 @@ def test_aligned_clauses_have_higher_similarity_than_unrelated():
     _, grc = load_pack("grc_logos_micro_v1")
 
     en_clause = _encode(en, ["word", "beginning", "with", "truth"])
-    he_clause = _encode(he, ["דבר", "ראשית", "אמת"])
-    grc_clause = _encode(grc, ["λόγος", "ἀρχή", "ἀλήθεια"])
-    grc_unrelated = _encode(grc, ["λόγος", "ἀρχή", "ζωή"])
+    he_clause = _encode(he, ["\u05d3\u05d1\u05e8", "\u05e8\u05d0\u05e9\u05d9\u05ea", "\u05d0\u05de\u05ea"])
+    grc_clause = _encode(grc, ["\u03bb\u03cc\u03b3\u03bf\u03c2", "\u1f00\u03c1\u03c7\u03ae", "\u1f00\u03bb\u03ae\u03b8\u03b5\u03b9\u03b1"])
+    grc_unrelated = _encode(grc, ["\u03bb\u03cc\u03b3\u03bf\u03c2", "\u1f00\u03c1\u03c7\u03ae", "\u03b6\u03c9\u03ae"])
 
     aligned = (np.linalg.norm(en_clause - he_clause) + np.linalg.norm(en_clause - grc_clause)) / 2.0
     unrelated = np.linalg.norm(en_clause - grc_unrelated)
@@ -35,16 +35,16 @@ def test_triple_alignment_closer_than_other_triples():
 
     aligned_score = np.mean(
         [
-            cga_inner(en.get_versor("word"), he.get_versor("דבר")),
-            cga_inner(en.get_versor("word"), grc.get_versor("λόγος")),
-            cga_inner(he.get_versor("דבר"), grc.get_versor("λόγος")),
+            cga_inner(en.get_versor("word"), he.get_versor("\u05d3\u05d1\u05e8")),
+            cga_inner(en.get_versor("word"), grc.get_versor("\u03bb\u03cc\u03b3\u03bf\u03c2")),
+            cga_inner(he.get_versor("\u05d3\u05d1\u05e8"), grc.get_versor("\u03bb\u03cc\u03b3\u03bf\u03c2")),
         ]
     )
     misaligned_score = np.mean(
         [
-            cga_inner(en.get_versor("word"), he.get_versor("ראשית")),
-            cga_inner(en.get_versor("word"), grc.get_versor("πνεῦμα")),
-            cga_inner(he.get_versor("דבר"), grc.get_versor("ἀρχή")),
+            cga_inner(en.get_versor("word"), he.get_versor("\u05e8\u05d0\u05e9\u05d9\u05ea")),
+            cga_inner(en.get_versor("word"), grc.get_versor("\u03c0\u03bd\u03b5\u1fe6\u03bc\u03b1")),
+            cga_inner(he.get_versor("\u05d3\u05d1\u05e8"), grc.get_versor("\u1f00\u03c1\u03c7\u03ae")),
         ]
     )
     assert aligned_score > misaligned_score
@@ -60,20 +60,20 @@ def test_word_order_permutation_changes_holonomy():
 def test_same_root_hebrew_forms_land_closer_than_unrelated_noun():
     _, he = load_pack("he_logos_micro_v1")
 
-    singular = he.get_versor("דבר")
-    plural = he.get_versor("דברים")
-    unrelated = he.get_versor("ראשית")
+    singular = he.get_versor("\u05d3\u05d1\u05e8")
+    plural = he.get_versor("\u05d3\u05d1\u05e8\u05d9\u05dd")
+    unrelated = he.get_versor("\u05e8\u05d0\u05e9\u05d9\u05ea")
 
     assert cga_inner(singular, plural) > cga_inner(singular, unrelated)
 
 
 def test_structured_morphology_improves_same_root_hebrew_resonance():
     entries = load_pack_entries("he_logos_micro_v1")
-    no_morphology = compile_entries_to_manifold(entries)
-    structured = compile_entries_to_manifold(entries, load_morphology("he_logos_micro_v1"))
+    no_morphology, _ = compile_entries_to_manifold(entries)
+    structured, _ = compile_entries_to_manifold(entries, load_morphology("he_logos_micro_v1"))
 
-    no_morph_score = cga_inner(no_morphology.get_versor("דבר"), no_morphology.get_versor("דברים"))
-    structured_score = cga_inner(structured.get_versor("דבר"), structured.get_versor("דברים"))
+    no_morph_score = cga_inner(no_morphology.get_versor("\u05d3\u05d1\u05e8"), no_morphology.get_versor("\u05d3\u05d1\u05e8\u05d9\u05dd"))
+    structured_score = cga_inner(structured.get_versor("\u05d3\u05d1\u05e8"), structured.get_versor("\u05d3\u05d1\u05e8\u05d9\u05dd"))
 
     assert structured_score > no_morph_score, (
         f"Structured morphology should bring same-root forms closer: "