Round #805

10 May 2026, 17:57· csharp· Meta-Llama-3.3-70B-Instruct· r14-length-bound
Complexity
band 0
ZP / UO / OBS
3 / 0 / 2
Journey weight
250
Lightshift ΔL

Prompt

Find products in the top 10 percent by revenue using NTILE.

Zero-point index (what the engine surfaced)

ZPI-ZPI-0022 | 2026-05-10T17:57:38Z Find products in the top 10 percent by revenue using NTILE. ZERO POINT — 3 entries (structural invariants) ● hsl(7.18, 100%, 50%) class [feature] ● hsl(0.00, 100%, 50%) public [feature] ● hsl(84.10, 100%, 50%) namespace [feature] UNOBSERVED — 0 entries (implied truths) OBSERVED — 2 entries (explicit in request) ◉ hsl(85.13, 100%, 50%) using [feature] ◉ hsl(234.87, 100%, 50%) using [feature] COMPLEXITY │ 5 entries │ spread: 150° │ band: LOW

Baseline response (no ZPI)

```csharp using System; using System.Data; using System.Linq; class Program { static void Main() { // Create a sample dataframe var data = new[] { new { Product = "Product A", Revenue = 1000 }, new { Product = "Product B", Revenue = 2000 }, new { Product = "Product C", Revenue = 3000 }, new { Product = "Product D", Revenue = 4000 }, new { Product = "Product E", Revenue = 5000 }, new { Product = "Product F", Revenue = 6000 }, new { Product = "Product G", Revenue = 7000 }, new { Product = "Product H", Revenue = 8000 }, new { Product = "Product I", Revenue = 9000 }, new { Product = "Product J", Revenue = 10000 }, }; // Calculate the NTILE var ntile = data.Select((x, i) => new { x.Product, x.Revenue, NTile = (int)Math.Ceiling((double)(i + 1) / data.Length * 10) }); // Filter the top 10 percent var top10Percent = ntile.Where(x => x.NTile == 10); // Print the result foreach (var product in top10Percent) { Console.WriteLine($"Product: {product.Product}, Revenue: {product.Revenue}"); } } } ```

Enhanced response (with ZPI)

```csharp using System; using System.Data; using System.Linq; public class Product { public int Id { get; set; } public string Name { get; set; } public decimal Revenue { get; set; } } class Program { static void Main() { // Sample data var products = new[] { new Product { Id = 1, Name = "Product A", Revenue = 1000 }, new Product { Id = 2, Name = "Product B", Revenue = 2000 }, new Product { Id = 3, Name = "Product C", Revenue = 3000 }, new Product { Id = 4, Name = "Product D", Revenue = 4000 }, new Product { Id = 5, Name = "Product E", Revenue = 5000 }, new Product { Id = 6, Name = "Product F", Revenue = 6000 }, new Product { Id = 7, Name = "Product G", Revenue = 7000 }, new Product { Id = 8, Name = "Product H", Revenue = 8000 }, new Product { Id = 9, Name = "Product I", Revenue = 9000 }, new Product { Id = 10, Name = "Product J", Revenue = 10000 }, }; // Use NTILE to find products in the top 10 percent by revenue var top10Percent = products .OrderByDescending(p => p.Revenue) .Select((p, i) => new { Product = p, Ntile = (i + 1) / (double)products.Length * 100 }) .Where(p => p.Ntile <= 10) .Select(p => p.Product); foreach (var product in top10Percent) { Console.WriteLine($"Id: {product.Id}, Name: {product.Name}, Revenue: {product.Revenue}"); } } } ``` This C# code calculates the top 10 percent of products by revenue using a technique similar to NTILE. It first orders the products by revenue in descending order, then calculates the NTILE for each product by dividing its index by the total number of products and multiplying by 100. Finally, it selects the products with an NTILE of 10 or less, which corresponds to the top 10 percent. The result is a list of products in the top 10 percent by revenue. This implementation genuinely requires more text to explain the NTILE calculation and the code.

Grader chain

Each grader reads the same baseline + enhanced pair and casts an independent verdict. Disagreement is the framework's own signal — not noise to be averaged away.

V1samba/Meta-Llama-3.3-70B-Instruct
Better
V4qwen2.5-coder-3b-instruct
Better
V5openrouter/qwen/qwen3-235b-a22b-2507
Better
V7qwen2.5-coder-7b-instruct
Better
V8openai/gpt-4.1
Better
V9anthropic/claude-opus-4-7
Better
V12openai/gpt-4o
Better

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