# arc_agi_1 / 31d5ba1a_0 - taskset: [arc_agi_1](https://harnessreport.com/tasks/arc_agi_1.md) - difficulty: hard - category: reasoning - language: - runnable from the site: no - agent timeout: 600s ## Results by harness _none yet_ ## Instruction ``` You are participating in a puzzle solving competition. You are an expert at solving puzzles. Below is a list of input and output pairs with a pattern. Your goal is to identify the pattern or transformation in the training examples that maps the input to the output, then apply that pattern to the test input to give a final output. Respond in the format of the training output examples --Training Examples-- --Example 0-- INPUT: [9, 9, 0, 9, 0] [9, 0, 0, 9, 0] [0, 9, 9, 9, 9] [4, 0, 0, 4, 0] [4, 4, 0, 4, 4] [4, 4, 4, 0, 4] OUTPUT: [0, 6, 0, 0, 0] [0, 6, 0, 0, 6] [6, 0, 0, 6, 0] --Example 1-- INPUT: [9, 0, 0, 9, 9] [0, 0, 0, 0, 0] [0, 0, 9, 0, 9] [0, 0, 4, 4, 0] [4, 4, 4, 0, 0] [4, 0, 4, 0, 4] OUTPUT: [6, 0, 6, 0, 6] [6, 6, 6, 0, 0] [6, 0, 0, 0, 0] --Example 2-- INPUT: [0, 9, 0, 0, 0] [0, 9, 9, 0, 9] [9, 0, 0, 0, 9] [4, 4, 0, 4, 0] [0, 4, 4, 4, 0] [4, 4, 0, 0, 0] OUTPUT: [6, 0, 0, 6, 0] [0, 0, 0, 6, 6] [0, 6, 0, 0, 6] --Example 3-- INPUT: [0, 0, 9, 9, 0] [9, 9, 0, 9, 9] [0, 9, 0, 0, 0] [4, 4, 0, 0, 0] [4, 0, 4, 4, 4] [0, 4, 0, 0, 4] OUTPUT: [6, 6, 6, 6, 0] [0, 6, 6, 0, 0] [0, 0, 0, 0, 6] --Example 4-- INPUT: [0, 9, 9, 0, 0] [9, 0, 0, 0, 9] [9, 0, 0, 0, 0] [0, 0, 4, 0, 4] [4, 4, 0, 4, 0] [4, 0, 4, 4, 0] OUTPUT: [0, 6, 0, 0, 6] [0, 6, 0, 6, 6] [0, 0, 6, 6, 0] --End of Training Examples-- --Test Input-- INPUT ARRAY: [9, 9, 0, 9, 0] [0, 0, 9, 0, 9] [0, 0, 0, 9, 9] [4, 4, 4, 0, 4] [4, 0, 4, 4, 4] [4, 4, 0, 0, 0] --End of Test Input-- Your response here: ``` --- Harness Report runs agent harnesses from their GitHub repos on Harbor tasks and records every model call. Every page is also `.md` and `.json`; index: https://harnessreport.com/llms.txt · MCP: https://harnessreport.com/mcp