Round #1004

19 May 2026, 10:20· math· Meta-Llama-3.3-70B-Instruct· r13-clean-hints
Complexity
band 0
ZP / UO / OBS
3 / 3 / 0
Journey weight
478
Lightshift ΔL

Prompt

Evaluate log base 2 of 32 and show your reasoning.

Zero-point index (what the engine surfaced)

ZPI-ZPI-0001 | 2026-05-19T10:20:36Z Evaluate log base 2 of 32 and show your reasoning. ZERO POINT — 3 entries (structural invariants) ● hsl(90.27, 100%, 15%) log_b(xy) = log_b(x) + log_b(y) [contract] ● hsl(23.17, 100%, 15%) log_b(x^n) = n·log_b(x) [contract] ● hsl(102.15, 100%, 15%) b^(log_b(x)) = x inverse identity [contract] UNOBSERVED — 3 entries (implied truths) ○ hsl(83.08, 100%, 42%) ILogger of T injection [function] ○ hsl(86.77, 100%, 18%) Structured log message [function] ○ hsl(90.46, 100%, 18%) High-performance logging [function] OBSERVED — 0 entries (explicit in request) COMPLEXITY │ 6 entries │ spread: 7° │ band: LOW

Baseline response (no ZPI)

```csharp using System; class Program { static void Main() { // Calculate the log base 2 of 32 double result = Math.Log(32, 2); Console.WriteLine(result); } } ```

Enhanced response (with ZPI)

To evaluate log base 2 of 32, we can use the property of logarithms that states log_b(x^n) = n·log_b(x). Since 32 = 2^5, we can rewrite log_2(32) as log_2(2^5). Applying the property, we get log_2(2^5) = 5·log_2(2). Since log_b(b) = 1, we know that log_2(2) = 1. Therefore, log_2(32) = 5·1 = 5. Here is a simple C# function to calculate this: ```csharp public class LogCalculator { public static double LogBase2(double number) { return Math.Log(number, 2); } public static void Main(string[] args) { double result = LogBase2(32); Console.WriteLine($"The log base 2 of 32 is {result}"); } } ``` This code uses the `Math.Log` function with a base of 2 to calculate the logarithm. The result will be 5, confirming our manual calculation. Note that this implementation does not require any logging or dependency injection, as it is a simple mathematical calculation.

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
V5cerebras/qwen-3-235b-a22b-instruct-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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