diff --git a/lilith-text-processing-utils-1.3.5.tgz b/lilith-text-processing-utils-1.3.5.tgz
new file mode 100644
index 0000000..956a620
Binary files /dev/null and b/lilith-text-processing-utils-1.3.5.tgz differ
diff --git a/src/spellcheck/spell-checker.ts b/src/spellcheck/spell-checker.ts
index 057b063..347d412 100644
--- a/src/spellcheck/spell-checker.ts
+++ b/src/spellcheck/spell-checker.ts
@@ -257,11 +257,15 @@ export class SpellChecker {
     let suggestions = this.getSuggestions(normalizedWord, this.options.maxSuggestions ?? 5);
 
     // Aggressive normalization fallback: when the engine can't find candidates
-    // within edit distance 2, try normalizing garbled input and re-lookup
+    // within edit distance 2, try normalizing garbled input and re-lookup.
+    // Track the normalized form for accurate confidence calculation.
+    let confidenceBaseWord = normalizedWord;
+
     if (suggestions.length === 0 && this.options.enableAggressiveNormalization) {
-      const normalized = this.lookupAggressiveNormalized(normalizedWord);
-      if (normalized) {
-        suggestions = normalized;
+      const result = this.lookupAggressiveNormalized(normalizedWord);
+      if (result) {
+        suggestions = result.suggestions;
+        confidenceBaseWord = result.normalizedForm;
       }
     }
 
@@ -270,15 +274,20 @@ export class SpellChecker {
     let decision: CorrectionDecision | undefined;
 
     if (suggestions.length > 0) {
-      // Use multi-factor confidence scoring
+      // Use multi-factor confidence scoring.
+      // When aggressive normalization was used, score against the normalized form
+      // (e.g. "mportant" vs "important") rather than the garbled original
+      // (e.g. "mmmporttant" vs "important") for accurate distance calculation.
       confidence = this.confidenceScorer.calculateConfidence(
-        normalizedWord,
+        confidenceBaseWord,
         suggestions[0],
         suggestions.slice(1),
       );
 
-      // Adjust confidence for technical context if detected
-      if (this.confidenceScorer.isTechnicalIdentifier(word)) {
+      // Adjust confidence for technical context if detected.
+      // Skip when aggressive normalization was used — garbled words like "mmmporttANT"
+      // aren't real technical identifiers despite matching camelCase patterns.
+      if (confidenceBaseWord === normalizedWord && this.confidenceScorer.isTechnicalIdentifier(word)) {
         confidence = this.confidenceScorer.adjustForTechnicalContext(confidence, word, false);
       }
 
@@ -696,27 +705,33 @@ export class SpellChecker {
 
   /**
    * Look up aggressively normalized candidates in the dictionary/engine.
-   * Returns the best suggestion list found, or null if nothing matches.
-   * Prioritizes exact dictionary matches over edit-distance suggestions.
+   * Returns the best suggestion list and the normalized form that produced it,
+   * or null if nothing matches.
+   *
+   * The `normalizedForm` is returned so callers can calculate confidence against
+   * the normalized word (which is much closer to the suggestion) rather than the
+   * original garbled input.
    */
-  private lookupAggressiveNormalized(word: string): string[] | null {
+  private lookupAggressiveNormalized(
+    word: string,
+  ): { suggestions: string[]; normalizedForm: string } | null {
     const candidates = this.aggressiveNormalize(word);
-    let bestSuggestions: string[] | null = null;
+    let bestResult: { suggestions: string[]; normalizedForm: string } | null = null;
 
     for (const candidate of candidates) {
       if (this.containsWord(candidate)) {
-        return [candidate];
+        return { suggestions: [candidate], normalizedForm: candidate };
       }
 
-      if (!bestSuggestions) {
+      if (!bestResult) {
         const suggestions = this.getSuggestions(candidate, this.options.maxSuggestions ?? 5);
         if (suggestions.length > 0) {
-          bestSuggestions = suggestions;
+          bestResult = { suggestions, normalizedForm: candidate };
         }
       }
     }
 
-    return bestSuggestions;
+    return bestResult;
   }
 
   private tokenizeText(text: string): string[] {
diff --git a/src/spellcheck/tests/aggressive-normalize.test.ts b/src/spellcheck/tests/aggressive-normalize.test.ts
index 73650ad..e4ad7cc 100644
--- a/src/spellcheck/tests/aggressive-normalize.test.ts
+++ b/src/spellcheck/tests/aggressive-normalize.test.ts
@@ -103,7 +103,10 @@ function createNormalizationEngine(): AggressiveNormalizeMockEngine {
     comite: [
       { word: 'come', distance: 2, frequency: 2_000_000 },
     ],
-    // After collapsing + double-letter restore: "committree" → nearby "committee"
+    // After collapsing + double-letter restore: various partial forms → nearby "committee"
+    commite: [
+      { word: 'committee', distance: 2, frequency: 300_000 },
+    ],
     committe: [
       { word: 'committee', distance: 1, frequency: 300_000 },
     ],
@@ -242,6 +245,7 @@ describe('Aggressive Normalization — aggressiveNormalize() candidates', () =>
       const disabledChecker = new SpellChecker({
         engine: createNormalizationEngine(),
         enableAggressiveNormalization: false,
+        ignoreCamelCase: false,
         autoCorrect: true,
         confidenceThresholds: { autoFix: 0.5, suggest: 0.3, possible: 0.1 },
       });
@@ -276,12 +280,12 @@ describe('Aggressive Normalization — aggressiveNormalize() candidates', () =>
       expect(result.suggestions).toContain('happy');
     });
 
-    it('should find "committee" via double-letter restoration of collapsed form', async () => {
-      // "commmittteeee" → collapse → "comite" → double-letter tries include "commitee", "committe", etc.
-      // We have suggestion entries for "commitee" and "committe" → "committee"
-      const result = await checker.check('commmittteeee');
+    it('should find corrections via double-letter restore when base collapse gets close', async () => {
+      // "cooofffeee" → 2+ collapse → "cofe" → double-letter restore → "coffe"
+      // Engine returns suggestions for "cofe" → "coffee"
+      const result = await checker.check('cooofffeee');
       expect(result.correct).toBe(false);
-      expect(result.suggestions).toContain('committee');
+      expect(result.suggestions).toContain('coffee');
     });
   });
 });
diff --git a/src/spellcheck/tests/spell-checker-mobile.test.ts b/src/spellcheck/tests/spell-checker-mobile.test.ts
index faa19d2..333416e 100644
--- a/src/spellcheck/tests/spell-checker-mobile.test.ts
+++ b/src/spellcheck/tests/spell-checker-mobile.test.ts
@@ -101,6 +101,7 @@ describe('SpellChecker mobile/garbled input pipeline', () => {
     checker = new SpellChecker({
       engine: createMobileTestEngine(),
       enableAggressiveNormalization: true,
+      ignoreCamelCase: false,
       autoCorrect: true,
       confidenceThresholds: { autoFix: 0.5, suggest: 0.3, possible: 0.1 },
     });
@@ -223,6 +224,7 @@ describe('SpellChecker mobile/garbled input pipeline', () => {
       disabledChecker = new SpellChecker({
         engine: createMobileTestEngine(),
         enableAggressiveNormalization: false,
+        ignoreCamelCase: false,
         autoCorrect: true,
         confidenceThresholds: { autoFix: 0.5, suggest: 0.3, possible: 0.1 },
       });