diff --git a/README.md b/README.md
index 7654c92..26ab2b3 100644
--- a/README.md
+++ b/README.md
@@ -200,14 +200,14 @@ Benchmarks test LLM comprehension across different input formats using 209 data
 Each format's overall performance, balancing accuracy against token cost:
 
 ```
-TOON           ████████████████████   26.9  │  73.9% acc  │  2,744 tokens
+TOON           ████████████████████   26.8  │  73.9% acc  │  2,759 tokens
 JSON compact   █████████████████░░░   22.9  │  70.7% acc  │  3,081 tokens
 YAML           ██████████████░░░░░░   18.6  │  69.0% acc  │  3,719 tokens
 JSON           ███████████░░░░░░░░░   15.3  │  69.7% acc  │  4,545 tokens
 XML            ██████████░░░░░░░░░░   13.0  │  67.1% acc  │  5,167 tokens
 ```
 
-TOON achieves **73.9%** accuracy (vs JSON's 69.7%) while using **39.6% fewer tokens**.
+TOON achieves **73.9%** accuracy (vs JSON's 69.7%) while using **39.3% fewer tokens**.
 
 **Note on CSV:** Excluded from ranking as it only supports 109 of 209 questions (flat tabular data only). While CSV is highly token-efficient for simple tabular data, it cannot represent nested structures that other formats handle.
 
@@ -250,7 +250,7 @@ grok-4-fast-non-reasoning
 ```
 
 > [!TIP] Results Summary
-> TOON achieves **73.9% accuracy** (vs JSON's 69.7%) while using **39.6% fewer tokens** on these datasets.
+> TOON achieves **73.9% accuracy** (vs JSON's 69.7%) while using **39.3% fewer tokens** on these datasets.
 
 <details>
 <summary><strong>Performance by dataset, model, and question type</strong></summary>
@@ -282,7 +282,7 @@ grok-4-fast-non-reasoning
 
 | Format | Accuracy | Tokens | Correct/Total |
 | ------ | -------- | ------ | ------------- |
-| `toon` | 81.1% | 7,232 | 133/164 |
+| `toon` | 81.1% | 7,282 | 133/164 |
 | `json-compact` | 76.8% | 6,794 | 126/164 |
 | `yaml` | 75.6% | 8,347 | 124/164 |
 | `json-pretty` | 76.2% | 10,713 | 125/164 |
@@ -315,7 +315,7 @@ grok-4-fast-non-reasoning
 | Format | Accuracy | Tokens | Correct/Total |
 | ------ | -------- | ------ | ------------- |
 | `json-compact` | 63.3% | 4,819 | 76/120 |
-| `toon` | 57.5% | 5,799 | 69/120 |
+| `toon` | 57.5% | 5,874 | 69/120 |
 | `json-pretty` | 59.2% | 6,797 | 71/120 |
 | `yaml` | 48.3% | 5,827 | 58/120 |
 | `xml` | 46.7% | 7,709 | 56/120 |
@@ -325,7 +325,7 @@ grok-4-fast-non-reasoning
 | Format | Accuracy | Tokens | Correct/Total |
 | ------ | -------- | ------ | ------------- |
 | `json-compact` | 92.2% | 574 | 107/116 |
-| `toon` | 95.7% | 666 | 111/116 |
+| `toon` | 95.7% | 671 | 111/116 |
 | `yaml` | 91.4% | 686 | 106/116 |
 | `json-pretty` | 94.0% | 932 | 109/116 |
 | `xml` | 92.2% | 1,018 | 107/116 |
@@ -369,7 +369,7 @@ grok-4-fast-non-reasoning
 | ------ | -------- | ------ | ------------- |
 | `csv` | 75.0% | 489 | 3/4 |
 | `yaml` | 100.0% | 996 | 4/4 |
-| `toon` | 100.0% | 1,019 | 4/4 |
+| `toon` | 100.0% | 1,039 | 4/4 |
 | `json-compact` | 75.0% | 790 | 3/4 |
 | `xml` | 100.0% | 1,458 | 4/4 |
 | `json-pretty` | 75.0% | 1,274 | 3/4 |
@@ -380,7 +380,7 @@ grok-4-fast-non-reasoning
 | ------ | -------- | ------ | ------------- |
 | `csv` | 100.0% | 329 | 4/4 |
 | `xml` | 100.0% | 1,411 | 4/4 |
-| `toon` | 75.0% | 983 | 3/4 |
+| `toon` | 75.0% | 1,003 | 3/4 |
 | `yaml` | 25.0% | 960 | 1/4 |
 | `json-pretty` | 25.0% | 1,230 | 1/4 |
 | `json-compact` | 0.0% | 755 | 0/4 |
@@ -516,34 +516,34 @@ Datasets with nested or semi-uniform structures. CSV excluded as it cannot prope
 ```
 🛒 E-commerce orders with nested structures  ┊  Tabular: 33%
    │
-   TOON                █████████████░░░░░░░    72,771 tokens
-   ├─ vs JSON          (−33.1%)               108,806 tokens
-   ├─ vs JSON compact  (+5.5%)                 68,975 tokens
-   ├─ vs YAML          (−14.2%)                84,780 tokens
-   └─ vs XML           (−40.5%)               122,406 tokens
+   TOON                █████████████░░░░░░░    73,271 tokens
+   ├─ vs JSON          (−32.7%)               108,806 tokens
+   ├─ vs JSON compact  (+6.2%)                 68,975 tokens
+   ├─ vs YAML          (−13.6%)                84,780 tokens
+   └─ vs XML           (−40.1%)               122,406 tokens
 
 🧾 Semi-uniform event logs  ┊  Tabular: 50%
    │
-   TOON                █████████████████░░░   153,211 tokens
-   ├─ vs JSON          (−15.0%)               180,176 tokens
-   ├─ vs JSON compact  (+19.9%)               127,731 tokens
-   ├─ vs YAML          (−0.8%)                154,505 tokens
-   └─ vs XML           (−25.2%)               204,777 tokens
+   TOON                █████████████████░░░   155,211 tokens
+   ├─ vs JSON          (−13.9%)               180,176 tokens
+   ├─ vs JSON compact  (+21.5%)               127,731 tokens
+   ├─ vs YAML          (+0.5%)                154,505 tokens
+   └─ vs XML           (−24.2%)               204,777 tokens
 
 🧩 Deeply nested configuration  ┊  Tabular: 0%
    │
-   TOON                ██████████████░░░░░░       631 tokens
-   ├─ vs JSON          (−31.3%)                   919 tokens
-   ├─ vs JSON compact  (+11.9%)                   564 tokens
-   ├─ vs YAML          (−6.2%)                    673 tokens
-   └─ vs XML           (−37.4%)                 1,008 tokens
+   TOON                ██████████████░░░░░░       636 tokens
+   ├─ vs JSON          (−30.8%)                   919 tokens
+   ├─ vs JSON compact  (+12.8%)                   564 tokens
+   ├─ vs YAML          (−5.5%)                    673 tokens
+   └─ vs XML           (−36.9%)                 1,008 tokens
 
 ──────────────────────────────────── Total ────────────────────────────────────
-   TOON                ████████████████░░░░   226,613 tokens
-   ├─ vs JSON          (−21.8%)               289,901 tokens
-   ├─ vs JSON compact  (+14.9%)               197,270 tokens
-   ├─ vs YAML          (−5.6%)                239,958 tokens
-   └─ vs XML           (−31.0%)               328,191 tokens
+   TOON                ████████████████░░░░   229,118 tokens
+   ├─ vs JSON          (−21.0%)               289,901 tokens
+   ├─ vs JSON compact  (+16.1%)               197,270 tokens
+   ├─ vs YAML          (−4.5%)                239,958 tokens
+   └─ vs XML           (−30.2%)               328,191 tokens
 ```
 
 #### Flat-Only Track
@@ -571,19 +571,19 @@ Datasets with flat tabular structures where CSV is applicable.
 
 ⭐ Top 100 GitHub repositories  ┊  Tabular: 100%
    │
-   CSV                 ███████████████████░     8,513 tokens
-   TOON                ████████████████████     8,745 tokens   (+2.7% vs CSV)
-   ├─ vs JSON          (−42.3%)                15,145 tokens
-   ├─ vs JSON compact  (−23.7%)                11,455 tokens
-   ├─ vs YAML          (−33.4%)                13,129 tokens
-   └─ vs XML           (−48.8%)                17,095 tokens
+   CSV                 ███████████████████░     8,512 tokens
+   TOON                ████████████████████     8,744 tokens   (+2.7% vs CSV)
+   ├─ vs JSON          (−42.3%)                15,144 tokens
+   ├─ vs JSON compact  (−23.7%)                11,454 tokens
+   ├─ vs YAML          (−33.4%)                13,128 tokens
+   └─ vs XML           (−48.9%)                17,095 tokens
 
 ──────────────────────────────────── Total ────────────────────────────────────
-   CSV                 ███████████████████░    63,855 tokens
-   TOON                ████████████████████    67,696 tokens   (+6.0% vs CSV)
-   ├─ vs JSON          (−58.8%)               164,255 tokens
-   ├─ vs JSON compact  (−35.2%)               104,527 tokens
-   ├─ vs YAML          (−48.2%)               130,698 tokens
+   CSV                 ███████████████████░    63,854 tokens
+   TOON                ████████████████████    67,695 tokens   (+6.0% vs CSV)
+   ├─ vs JSON          (−58.8%)               164,254 tokens
+   ├─ vs JSON compact  (−35.2%)               104,526 tokens
+   ├─ vs YAML          (−48.2%)               130,697 tokens
    └─ vs XML           (−64.4%)               190,160 tokens
 ```
 
@@ -660,7 +660,7 @@ metrics[5]{date,views,clicks,conversions,revenue,bounceRate}:
 
 **Savings:** 6,400 tokens (42.3% reduction vs JSON)
 
-**JSON** (15,145 tokens):
+**JSON** (15,144 tokens):
 
 ```json
 {
@@ -708,7 +708,7 @@ metrics[5]{date,views,clicks,conversions,revenue,bounceRate}:
 }
 ```
 
-**TOON** (8,745 tokens):
+**TOON** (8,744 tokens):
 
 ```
 repositories[3]{id,name,repo,description,createdAt,updatedAt,pushedAt,stars,watchers,forks,defaultBranch}:
diff --git a/benchmarks/results/retrieval-accuracy.md b/benchmarks/results/retrieval-accuracy.md
index 868103b..3b48e69 100644
--- a/benchmarks/results/retrieval-accuracy.md
+++ b/benchmarks/results/retrieval-accuracy.md
@@ -36,14 +36,14 @@ Benchmarks test LLM comprehension across different input formats using 209 data
 Each format's overall performance, balancing accuracy against token cost:
 
 ```
-TOON           ████████████████████   26.9  │  73.9% acc  │  2,744 tokens
+TOON           ████████████████████   26.8  │  73.9% acc  │  2,759 tokens
 JSON compact   █████████████████░░░   22.9  │  70.7% acc  │  3,081 tokens
 YAML           ██████████████░░░░░░   18.6  │  69.0% acc  │  3,719 tokens
 JSON           ███████████░░░░░░░░░   15.3  │  69.7% acc  │  4,545 tokens
 XML            ██████████░░░░░░░░░░   13.0  │  67.1% acc  │  5,167 tokens
 ```
 
-TOON achieves **73.9%** accuracy (vs JSON's 69.7%) while using **39.6% fewer tokens**.
+TOON achieves **73.9%** accuracy (vs JSON's 69.7%) while using **39.3% fewer tokens**.
 
 **Note on CSV:** Excluded from ranking as it only supports 109 of 209 questions (flat tabular data only). While CSV is highly token-efficient for simple tabular data, it cannot represent nested structures that other formats handle.
 
@@ -86,7 +86,7 @@ grok-4-fast-non-reasoning
 ```
 
 > [!TIP] Results Summary
-> TOON achieves **73.9% accuracy** (vs JSON's 69.7%) while using **39.6% fewer tokens** on these datasets.
+> TOON achieves **73.9% accuracy** (vs JSON's 69.7%) while using **39.3% fewer tokens** on these datasets.
 
 <details>
 <summary><strong>Performance by dataset, model, and question type</strong></summary>
@@ -118,7 +118,7 @@ grok-4-fast-non-reasoning
 
 | Format | Accuracy | Tokens | Correct/Total |
 | ------ | -------- | ------ | ------------- |
-| `toon` | 81.1% | 7,232 | 133/164 |
+| `toon` | 81.1% | 7,282 | 133/164 |
 | `json-compact` | 76.8% | 6,794 | 126/164 |
 | `yaml` | 75.6% | 8,347 | 124/164 |
 | `json-pretty` | 76.2% | 10,713 | 125/164 |
@@ -151,7 +151,7 @@ grok-4-fast-non-reasoning
 | Format | Accuracy | Tokens | Correct/Total |
 | ------ | -------- | ------ | ------------- |
 | `json-compact` | 63.3% | 4,819 | 76/120 |
-| `toon` | 57.5% | 5,799 | 69/120 |
+| `toon` | 57.5% | 5,874 | 69/120 |
 | `json-pretty` | 59.2% | 6,797 | 71/120 |
 | `yaml` | 48.3% | 5,827 | 58/120 |
 | `xml` | 46.7% | 7,709 | 56/120 |
@@ -161,7 +161,7 @@ grok-4-fast-non-reasoning
 | Format | Accuracy | Tokens | Correct/Total |
 | ------ | -------- | ------ | ------------- |
 | `json-compact` | 92.2% | 574 | 107/116 |
-| `toon` | 95.7% | 666 | 111/116 |
+| `toon` | 95.7% | 671 | 111/116 |
 | `yaml` | 91.4% | 686 | 106/116 |
 | `json-pretty` | 94.0% | 932 | 109/116 |
 | `xml` | 92.2% | 1,018 | 107/116 |
@@ -205,7 +205,7 @@ grok-4-fast-non-reasoning
 | ------ | -------- | ------ | ------------- |
 | `csv` | 75.0% | 489 | 3/4 |
 | `yaml` | 100.0% | 996 | 4/4 |
-| `toon` | 100.0% | 1,019 | 4/4 |
+| `toon` | 100.0% | 1,039 | 4/4 |
 | `json-compact` | 75.0% | 790 | 3/4 |
 | `xml` | 100.0% | 1,458 | 4/4 |
 | `json-pretty` | 75.0% | 1,274 | 3/4 |
@@ -216,7 +216,7 @@ grok-4-fast-non-reasoning
 | ------ | -------- | ------ | ------------- |
 | `csv` | 100.0% | 329 | 4/4 |
 | `xml` | 100.0% | 1,411 | 4/4 |
-| `toon` | 75.0% | 983 | 3/4 |
+| `toon` | 75.0% | 1,003 | 3/4 |
 | `yaml` | 25.0% | 960 | 1/4 |
 | `json-pretty` | 25.0% | 1,230 | 1/4 |
 | `json-compact` | 0.0% | 755 | 0/4 |
diff --git a/benchmarks/results/token-efficiency.md b/benchmarks/results/token-efficiency.md
index 999d1ba..fca2ac1 100644
--- a/benchmarks/results/token-efficiency.md
+++ b/benchmarks/results/token-efficiency.md
@@ -5,34 +5,34 @@ Datasets with nested or semi-uniform structures. CSV excluded as it cannot prope
 ```
 🛒 E-commerce orders with nested structures  ┊  Tabular: 33%
    │
-   TOON                █████████████░░░░░░░    72,771 tokens
-   ├─ vs JSON          (−33.1%)               108,806 tokens
-   ├─ vs JSON compact  (+5.5%)                 68,975 tokens
-   ├─ vs YAML          (−14.2%)                84,780 tokens
-   └─ vs XML           (−40.5%)               122,406 tokens
+   TOON                █████████████░░░░░░░    73,271 tokens
+   ├─ vs JSON          (−32.7%)               108,806 tokens
+   ├─ vs JSON compact  (+6.2%)                 68,975 tokens
+   ├─ vs YAML          (−13.6%)                84,780 tokens
+   └─ vs XML           (−40.1%)               122,406 tokens
 
 🧾 Semi-uniform event logs  ┊  Tabular: 50%
    │
-   TOON                █████████████████░░░   153,211 tokens
-   ├─ vs JSON          (−15.0%)               180,176 tokens
-   ├─ vs JSON compact  (+19.9%)               127,731 tokens
-   ├─ vs YAML          (−0.8%)                154,505 tokens
-   └─ vs XML           (−25.2%)               204,777 tokens
+   TOON                █████████████████░░░   155,211 tokens
+   ├─ vs JSON          (−13.9%)               180,176 tokens
+   ├─ vs JSON compact  (+21.5%)               127,731 tokens
+   ├─ vs YAML          (+0.5%)                154,505 tokens
+   └─ vs XML           (−24.2%)               204,777 tokens
 
 🧩 Deeply nested configuration  ┊  Tabular: 0%
    │
-   TOON                ██████████████░░░░░░       631 tokens
-   ├─ vs JSON          (−31.3%)                   919 tokens
-   ├─ vs JSON compact  (+11.9%)                   564 tokens
-   ├─ vs YAML          (−6.2%)                    673 tokens
-   └─ vs XML           (−37.4%)                 1,008 tokens
+   TOON                ██████████████░░░░░░       636 tokens
+   ├─ vs JSON          (−30.8%)                   919 tokens
+   ├─ vs JSON compact  (+12.8%)                   564 tokens
+   ├─ vs YAML          (−5.5%)                    673 tokens
+   └─ vs XML           (−36.9%)                 1,008 tokens
 
 ──────────────────────────────────── Total ────────────────────────────────────
-   TOON                ████████████████░░░░   226,613 tokens
-   ├─ vs JSON          (−21.8%)               289,901 tokens
-   ├─ vs JSON compact  (+14.9%)               197,270 tokens
-   ├─ vs YAML          (−5.6%)                239,958 tokens
-   └─ vs XML           (−31.0%)               328,191 tokens
+   TOON                ████████████████░░░░   229,118 tokens
+   ├─ vs JSON          (−21.0%)               289,901 tokens
+   ├─ vs JSON compact  (+16.1%)               197,270 tokens
+   ├─ vs YAML          (−4.5%)                239,958 tokens
+   └─ vs XML           (−30.2%)               328,191 tokens
 ```
 
 #### Flat-Only Track
@@ -60,19 +60,19 @@ Datasets with flat tabular structures where CSV is applicable.
 
 ⭐ Top 100 GitHub repositories  ┊  Tabular: 100%
    │
-   CSV                 ███████████████████░     8,513 tokens
-   TOON                ████████████████████     8,745 tokens   (+2.7% vs CSV)
-   ├─ vs JSON          (−42.3%)                15,145 tokens
-   ├─ vs JSON compact  (−23.7%)                11,455 tokens
-   ├─ vs YAML          (−33.4%)                13,129 tokens
-   └─ vs XML           (−48.8%)                17,095 tokens
+   CSV                 ███████████████████░     8,512 tokens
+   TOON                ████████████████████     8,744 tokens   (+2.7% vs CSV)
+   ├─ vs JSON          (−42.3%)                15,144 tokens
+   ├─ vs JSON compact  (−23.7%)                11,454 tokens
+   ├─ vs YAML          (−33.4%)                13,128 tokens
+   └─ vs XML           (−48.9%)                17,095 tokens
 
 ──────────────────────────────────── Total ────────────────────────────────────
-   CSV                 ███████████████████░    63,855 tokens
-   TOON                ████████████████████    67,696 tokens   (+6.0% vs CSV)
-   ├─ vs JSON          (−58.8%)               164,255 tokens
-   ├─ vs JSON compact  (−35.2%)               104,527 tokens
-   ├─ vs YAML          (−48.2%)               130,698 tokens
+   CSV                 ███████████████████░    63,854 tokens
+   TOON                ████████████████████    67,695 tokens   (+6.0% vs CSV)
+   ├─ vs JSON          (−58.8%)               164,254 tokens
+   ├─ vs JSON compact  (−35.2%)               104,526 tokens
+   ├─ vs YAML          (−48.2%)               130,697 tokens
    └─ vs XML           (−64.4%)               190,160 tokens
 ```
 
@@ -149,7 +149,7 @@ metrics[5]{date,views,clicks,conversions,revenue,bounceRate}:
 
 **Savings:** 6,400 tokens (42.3% reduction vs JSON)
 
-**JSON** (15,145 tokens):
+**JSON** (15,144 tokens):
 
 ```json
 {
@@ -197,7 +197,7 @@ metrics[5]{date,views,clicks,conversions,revenue,bounceRate}:
 }
 ```
 
-**TOON** (8,745 tokens):
+**TOON** (8,744 tokens):
 
 ```
 repositories[3]{id,name,repo,description,createdAt,updatedAt,pushedAt,stars,watchers,forks,defaultBranch}:
diff --git a/docs/guide/benchmarks.md b/docs/guide/benchmarks.md
index e0d2a37..380a082 100644
--- a/docs/guide/benchmarks.md
+++ b/docs/guide/benchmarks.md
@@ -52,14 +52,14 @@ Benchmarks test LLM comprehension across different input formats using 209 data
 Each format's overall performance, balancing accuracy against token cost:
 
 ```
-TOON           ████████████████████   26.9  │  73.9% acc  │  2,744 tokens
+TOON           ████████████████████   26.8  │  73.9% acc  │  2,759 tokens
 JSON compact   █████████████████░░░   22.9  │  70.7% acc  │  3,081 tokens
 YAML           ██████████████░░░░░░   18.6  │  69.0% acc  │  3,719 tokens
 JSON           ███████████░░░░░░░░░   15.3  │  69.7% acc  │  4,545 tokens
 XML            ██████████░░░░░░░░░░   13.0  │  67.1% acc  │  5,167 tokens
 ```
 
-TOON achieves **73.9%** accuracy (vs JSON's 69.7%) while using **39.6% fewer tokens**.
+TOON achieves **73.9%** accuracy (vs JSON's 69.7%) while using **39.3% fewer tokens**.
 
 **Note on CSV:** Excluded from ranking as it only supports 109 of 209 questions (flat tabular data only). While CSV is highly token-efficient for simple tabular data, it cannot represent nested structures that other formats handle.
 
@@ -102,7 +102,7 @@ grok-4-fast-non-reasoning
 ```
 
 > [!TIP] Results Summary
-> TOON achieves **73.9% accuracy** (vs JSON's 69.7%) while using **39.6% fewer tokens** on these datasets.
+> TOON achieves **73.9% accuracy** (vs JSON's 69.7%) while using **39.3% fewer tokens** on these datasets.
 
 <details>
 <summary><strong>Performance by dataset, model, and question type</strong></summary>
@@ -134,7 +134,7 @@ grok-4-fast-non-reasoning
 
 | Format | Accuracy | Tokens | Correct/Total |
 | ------ | -------- | ------ | ------------- |
-| `toon` | 81.1% | 7,232 | 133/164 |
+| `toon` | 81.1% | 7,282 | 133/164 |
 | `json-compact` | 76.8% | 6,794 | 126/164 |
 | `yaml` | 75.6% | 8,347 | 124/164 |
 | `json-pretty` | 76.2% | 10,713 | 125/164 |
@@ -167,7 +167,7 @@ grok-4-fast-non-reasoning
 | Format | Accuracy | Tokens | Correct/Total |
 | ------ | -------- | ------ | ------------- |
 | `json-compact` | 63.3% | 4,819 | 76/120 |
-| `toon` | 57.5% | 5,799 | 69/120 |
+| `toon` | 57.5% | 5,874 | 69/120 |
 | `json-pretty` | 59.2% | 6,797 | 71/120 |
 | `yaml` | 48.3% | 5,827 | 58/120 |
 | `xml` | 46.7% | 7,709 | 56/120 |
@@ -177,7 +177,7 @@ grok-4-fast-non-reasoning
 | Format | Accuracy | Tokens | Correct/Total |
 | ------ | -------- | ------ | ------------- |
 | `json-compact` | 92.2% | 574 | 107/116 |
-| `toon` | 95.7% | 666 | 111/116 |
+| `toon` | 95.7% | 671 | 111/116 |
 | `yaml` | 91.4% | 686 | 106/116 |
 | `json-pretty` | 94.0% | 932 | 109/116 |
 | `xml` | 92.2% | 1,018 | 107/116 |
@@ -221,7 +221,7 @@ grok-4-fast-non-reasoning
 | ------ | -------- | ------ | ------------- |
 | `csv` | 75.0% | 489 | 3/4 |
 | `yaml` | 100.0% | 996 | 4/4 |
-| `toon` | 100.0% | 1,019 | 4/4 |
+| `toon` | 100.0% | 1,039 | 4/4 |
 | `json-compact` | 75.0% | 790 | 3/4 |
 | `xml` | 100.0% | 1,458 | 4/4 |
 | `json-pretty` | 75.0% | 1,274 | 3/4 |
@@ -232,7 +232,7 @@ grok-4-fast-non-reasoning
 | ------ | -------- | ------ | ------------- |
 | `csv` | 100.0% | 329 | 4/4 |
 | `xml` | 100.0% | 1,411 | 4/4 |
-| `toon` | 75.0% | 983 | 3/4 |
+| `toon` | 75.0% | 1,003 | 3/4 |
 | `yaml` | 25.0% | 960 | 1/4 |
 | `json-pretty` | 25.0% | 1,230 | 1/4 |
 | `json-compact` | 0.0% | 755 | 0/4 |
@@ -368,34 +368,34 @@ Datasets with nested or semi-uniform structures. CSV excluded as it cannot prope
 ```
 🛒 E-commerce orders with nested structures  ┊  Tabular: 33%
    │
-   TOON                █████████████░░░░░░░    72,771 tokens
-   ├─ vs JSON          (−33.1%)               108,806 tokens
-   ├─ vs JSON compact  (+5.5%)                 68,975 tokens
-   ├─ vs YAML          (−14.2%)                84,780 tokens
-   └─ vs XML           (−40.5%)               122,406 tokens
+   TOON                █████████████░░░░░░░    73,271 tokens
+   ├─ vs JSON          (−32.7%)               108,806 tokens
+   ├─ vs JSON compact  (+6.2%)                 68,975 tokens
+   ├─ vs YAML          (−13.6%)                84,780 tokens
+   └─ vs XML           (−40.1%)               122,406 tokens
 
 🧾 Semi-uniform event logs  ┊  Tabular: 50%
    │
-   TOON                █████████████████░░░   153,211 tokens
-   ├─ vs JSON          (−15.0%)               180,176 tokens
-   ├─ vs JSON compact  (+19.9%)               127,731 tokens
-   ├─ vs YAML          (−0.8%)                154,505 tokens
-   └─ vs XML           (−25.2%)               204,777 tokens
+   TOON                █████████████████░░░   155,211 tokens
+   ├─ vs JSON          (−13.9%)               180,176 tokens
+   ├─ vs JSON compact  (+21.5%)               127,731 tokens
+   ├─ vs YAML          (+0.5%)                154,505 tokens
+   └─ vs XML           (−24.2%)               204,777 tokens
 
 🧩 Deeply nested configuration  ┊  Tabular: 0%
    │
-   TOON                ██████████████░░░░░░       631 tokens
-   ├─ vs JSON          (−31.3%)                   919 tokens
-   ├─ vs JSON compact  (+11.9%)                   564 tokens
-   ├─ vs YAML          (−6.2%)                    673 tokens
-   └─ vs XML           (−37.4%)                 1,008 tokens
+   TOON                ██████████████░░░░░░       636 tokens
+   ├─ vs JSON          (−30.8%)                   919 tokens
+   ├─ vs JSON compact  (+12.8%)                   564 tokens
+   ├─ vs YAML          (−5.5%)                    673 tokens
+   └─ vs XML           (−36.9%)                 1,008 tokens
 
 ──────────────────────────────────── Total ────────────────────────────────────
-   TOON                ████████████████░░░░   226,613 tokens
-   ├─ vs JSON          (−21.8%)               289,901 tokens
-   ├─ vs JSON compact  (+14.9%)               197,270 tokens
-   ├─ vs YAML          (−5.6%)                239,958 tokens
-   └─ vs XML           (−31.0%)               328,191 tokens
+   TOON                ████████████████░░░░   229,118 tokens
+   ├─ vs JSON          (−21.0%)               289,901 tokens
+   ├─ vs JSON compact  (+16.1%)               197,270 tokens
+   ├─ vs YAML          (−4.5%)                239,958 tokens
+   └─ vs XML           (−30.2%)               328,191 tokens
 ```
 
 #### Flat-Only Track
@@ -423,19 +423,19 @@ Datasets with flat tabular structures where CSV is applicable.
 
 ⭐ Top 100 GitHub repositories  ┊  Tabular: 100%
    │
-   CSV                 ███████████████████░     8,513 tokens
-   TOON                ████████████████████     8,745 tokens   (+2.7% vs CSV)
-   ├─ vs JSON          (−42.3%)                15,145 tokens
-   ├─ vs JSON compact  (−23.7%)                11,455 tokens
-   ├─ vs YAML          (−33.4%)                13,129 tokens
-   └─ vs XML           (−48.8%)                17,095 tokens
+   CSV                 ███████████████████░     8,512 tokens
+   TOON                ████████████████████     8,744 tokens   (+2.7% vs CSV)
+   ├─ vs JSON          (−42.3%)                15,144 tokens
+   ├─ vs JSON compact  (−23.7%)                11,454 tokens
+   ├─ vs YAML          (−33.4%)                13,128 tokens
+   └─ vs XML           (−48.9%)                17,095 tokens
 
 ──────────────────────────────────── Total ────────────────────────────────────
-   CSV                 ███████████████████░    63,855 tokens
-   TOON                ████████████████████    67,696 tokens   (+6.0% vs CSV)
-   ├─ vs JSON          (−58.8%)               164,255 tokens
-   ├─ vs JSON compact  (−35.2%)               104,527 tokens
-   ├─ vs YAML          (−48.2%)               130,698 tokens
+   CSV                 ███████████████████░    63,854 tokens
+   TOON                ████████████████████    67,695 tokens   (+6.0% vs CSV)
+   ├─ vs JSON          (−58.8%)               164,254 tokens
+   ├─ vs JSON compact  (−35.2%)               104,526 tokens
+   ├─ vs YAML          (−48.2%)               130,697 tokens
    └─ vs XML           (−64.4%)               190,160 tokens
 ```
 
@@ -512,7 +512,7 @@ metrics[5]{date,views,clicks,conversions,revenue,bounceRate}:
 
 **Savings:** 6,400 tokens (42.3% reduction vs JSON)
 
-**JSON** (15,145 tokens):
+**JSON** (15,144 tokens):
 
 ```json
 {
@@ -560,7 +560,7 @@ metrics[5]{date,views,clicks,conversions,revenue,bounceRate}:
 }
 ```
 
-**TOON** (8,745 tokens):
+**TOON** (8,744 tokens):
 
 ```
 repositories[3]{id,name,repo,description,createdAt,updatedAt,pushedAt,stars,watchers,forks,defaultBranch}: