Finds a coherence threshold for attractor recovery in GPT-2 Medium, suggesting new limits for structural models.
Empirical Record 2 of the Three Primitives Framework (3primitives.io). ER2 extends ER1's findings to recursive depth ρ = 50, where structural forcing alone proves insufficient for coherence recovery. A structural floor at Chi ≈ 0.80 (Layer 12, GPT-2 Medium) is identified, below which sustained attractor recovery does not occur. A three-condition model (structural forcing, above-floor geometry, convergent trajectory) achieves 12/12 classification accuracy across twelve prompts in Sessions 2 and 3. Stability without deceleration is not convergence. Red-teamed by Claude (Anthropic), DeepSeek, Gemini (Google), and Perplexity. Full corpus: https://3primitives.io/formal_records/
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Gildenston et al. (2026) studied this question.
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