# Adaptive Consistency Graph

The work introduces the Adaptive Consistency Graph (ACG), which incrementally organizes execution evidence and its provenance into a persistent graph and builds a temporary requirement-centered view for each decision under a bounded context budget, raising GPT-5.6-luna's equal-weight average success across three benchmarks from 44.5% with ReAct to 50.2% and BrowseComp-Plus from 62.4% to 73.5%, without replacing the base planner or tool executor.

The work introduces the Adaptive Consistency Graph (ACG), which incrementally organizes execution evidence and its provenance into a persistent graph and builds a temporary requirement-centered view for each decision under a bounded context budget, raising GPT-5.6-luna's equal-weight average success across three benchmarks from 44.5% with ReAct to 50.2% and BrowseComp-Plus from 62.4% to 73.5%, without replacing the base planner or tool executor.