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TraceGraph is a graph-based framework that constructs shared decision landscapes from multi-model agent trajectories, enabling diagnosis of failure regions and improvement via trap-aware recovery pipelines.
This field report argues that commercial AI hallucinations are structural issues of 'compression' rather than alignment failures, citing high error rates in GPT-5.5, Gemini 3.1, and Claude Opus 4.7. It also details a significant source code leak involving Anthropic's Claude Code, revealing internal benchmarks for unreleased models and hidden features.