Round #800
10 May 2026, 17:56· csharp· Meta-Llama-3.3-70B-Instruct· r14-length-bound
- Complexity
- band 0
- ZP / UO / OBS
- 0 / 0 / 0
- Journey weight
- 0
- Lightshift ΔL
- —
Prompt
Use UNION to combine current_employees and former_employees, marking source.
Zero-point index (what the engine surfaced)
ZPI-ZPI-0017 | 2026-05-10T17:56:30Z
Use UNION to combine current_employees and former_employees, marking source.
ZERO POINT — 0 entries (structural invariants)
UNOBSERVED — 0 entries (implied truths)
OBSERVED — 0 entries (explicit in request)
COMPLEXITY │ 0 entries │ spread: 0° │ band: LOW
Baseline response (no ZPI)
```csharp
using System;
using System.Data;
class Program
{
static void Main()
{
// Create data tables
DataTable currentEmployees = new DataTable();
currentEmployees.Columns.Add("Name", typeof(string));
currentEmployees.Columns.Add("Age", typeof(int));
currentEmployees.Columns.Add("Department", typeof(string));
currentEmployees.Rows.Add("John", 34, "Sales");
currentEmployees.Rows.Add("Jane", 28, "Marketing");
currentEmployees.Rows.Add("Alice", 32, "HR");
DataTable formerEmployees = new DataTable();
formerEmployees.Columns.Add("Name", typeof(string));
formerEmployees.Columns.Add("Age", typeof(int));
formerEmployees.Columns.Add("Department", typeof(string));
formerEmployees.Rows.Add("Bob", 35, "Engineering");
formerEmployees.Rows.Add("Eve", 29, "Finance");
formerEmployees.Rows.Add("Charlie", 36, "Operations");
// Add a new column 'Source' to each data table
currentEmployees.Columns.Add("Source", typeof(string));
formerEmployees.Columns.Add("Source", typeof(string));
// Fill the 'Source' column
foreach (DataRow row in currentEmployees.Rows)
{
row["Source"] = "Current";
}
foreach (DataRow row in formerEmployees.Rows)
{
row["Source"] = "Former";
}
// Combine the two data tables
DataTable combinedEmployees = new DataTable();
combinedEmployees.Merge(currentEmployees);
combinedEmployees.Merge(formerEmployees);
// Print the combined data table
foreach (DataRow row in combinedEmployees.Rows)
{
Console.WriteLine($"{row["Name"]}\t{row["Age"]}\t{row["Department"]}\t{row["Source"]}");
}
}
}
```
Enhanced response (with ZPI)
```csharp
using System;
using System.Data;
using System.Data.SqlClient;
public class EmployeeRepository
{
private readonly string _connectionString;
public EmployeeRepository(string connectionString)
{
_connectionString = connectionString;
}
public DataTable GetCombinedEmployees()
{
using (var connection = new SqlConnection(_connectionString))
{
connection.Open();
var query = @"
SELECT 'Current' AS Source, *
FROM current_employees
UNION ALL
SELECT 'Former' AS Source, *
FROM former_employees";
var adapter = new SqlDataAdapter(query, connection);
var dataTable = new DataTable();
adapter.Fill(dataTable);
return dataTable;
}
}
}
class Program
{
static void Main(string[] args)
{
var connectionString = "Server=myServerAddress;Database=myDataBase;User Id=myUsername;Password=myPassword;";
var repository = new EmployeeRepository(connectionString);
var combinedEmployees = repository.GetCombinedEmployees();
foreach (DataRow row in combinedEmployees.Rows)
{
Console.WriteLine($"Source: {row["Source"]}, Name: {row["Name"]}");
}
}
}
```
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
BetterV4qwen2.5-coder-3b-instruct
BetterV5openrouter/qwen/qwen3-235b-a22b-2507
BetterV7qwen2.5-coder-7b-instruct
BetterV8openai/gpt-4.1
BetterV9anthropic/claude-opus-4-7
BetterV12openai/gpt-4o
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