Randomized trial evaluates Temporal Health Monitor for tracking dynamics in LLMs, suggesting enhanced model insights.
Preprint archive for the Structural Time Framework (STF), comprising four core manuscripts, formal mathematical appendix, and full replication assets: Core Manuscripts Structural Time: Ontology — Core philosophical foundation establishing time as an emergent order created by an observer K, constrained by logical compatibility with abstract state space $(S, V)$ (Asymmetry Conjecture). (Note: Formal proofs and mathematical derivations are provided in the standalone Appendix A document). Structural Time: Dynamics — Nonlinear dynamical theory of temporal experience introducing bounded temporal density $T(K)$, four emergent regimes (Active, Frozen, Decayed, Critical), numerical Keq recomputation, and contemplative/meditative-state dynamics. Structural Time Framework: Computational Evaluation Report — Three-phase computational evaluation protocol covering synthetic regime separation, cross-model THM baseline on 5 LLM architectures, and Phase-1 real cross-architecture forced-false/jailbreak probing. THM: A Structural-Dynamical Probe — Temporal Health Monitor (THM) for tracking hidden-state trajectories in LLMs, demonstrated on Gemma-4-E2B-it with length-controlled TruthfulQA forced-false detection (AUC 0.858) and jailbreak boundary analysis. Supplementary Documents & Replication Assets Appendix A (Standalone Supplement): Contains the formal mathematical audit, including the Bridge Assumption and non-vacuity threshold analysis for the Ontology paper. Data & Artifacts: Includes 7 experiment logs, calibration data, Phase-0 math audit scripts, Phase-1 AI probing scripts, and the full simulation pipeline. Code Repository: Source code is archived separately at GitHub (DOI: 10.5281/zenodo.20371010).
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SUTIPONG CHANPENGPAD (2026) studied this question.
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