Schema harness achieves ~99% on ARC-AGI-3 public with Fable+4.8, GPT-5.6 Sol

The Schema harness, a framework for LLMs, reportedly achieves 99% accuracy with Claude Fable+4.8 and 95.35% with GPT-5.6 Sol on the ARC-AGI-3 public set. These results are on the easier public subset, not the held-out test.