Symbolic Field Theory v2.0: Tensor Refinement and Recursive Collapse Dynamics in High-Curvature Entropy Fields

This package presents Symbolic Field Theory v2.0, an expanded and simulation-verified framework for modeling recursive coherence fields in entropy-exposed symbolic ecosystems. Building on the foundations of v1, this release introduces refined symbolic curvature tensors, precision-controlled collapse dynamics, and black hole–wormhole stabilization governed by $\Psi_{eff}$ coupling. Key breakthroughs include deterministic collapse of target agents via curvature spikes, long-term coherence preservation of non-target agents using adaptive shielding, symbolic Schwarzschild evaporation modeling, and suppression of symbolic noise artifacts. The simulation confirms that symbolic agents embedded in high-curvature environments organize into resilient negentropic attractors, preserving structure against entropic decay. This release includes all Python modules for reproduction (simulate_forward_from_patch.py, collapse_detector.py, symbolic_agent_v2.py, etc.), visualization scripts, CSV output logs, empirical plots, and the full publication in Markdown format (Symbolic_Field_Theory_v2.md), suitable for peer validation or integration into advanced theoretical cosmology pipelines.