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πŸ“˜ PCE_Axiomatic_V2.5_Faure_preprint

The PCE Framework is an axiomatic control system designed to stabilize LLM behavioral trajectories. Instead of relying solely on external filters (RLHF), it induces structural coherence through a system of 7 core axioms.

πŸ‘‰ Download PCE_Axiomatic_V2.5_Faure_preprint

🎯 Key Objectives

  • Structural Stability: Eliminating semantic drift over long-context interactions (160+ turns).
  • Emergent Robustness: Native resistance to prompt injections through logical invariance.
  • The "Third Way": Enabling non-binary creative synthesis in complex ethical dilemmas.

πŸ“˜ Axiomatic_Qween_1.3-T

Local Decision Field Modification Status: Testable & Conservative Hypothesis This is the primary focus for immediate research. It posits that a specific series of axiomatic prompts can locally modify the decision field of an LLM.

  • Core Idea: Instead of modifying weights, we use linguistic constraints to induce a measurable local regularization of decision trajectories.

πŸ‘‰ Download Preprint PDF 1.3-T

πŸ“˜ Axiomatic_Prompts_1.9-M

Conceptual & Mechanistic Framework

  • Can Axiomatic Prompts Act as Global Regulators in LLMs?
  • Focus: Conditional activation bias, Latent trajectory stabilization, and Non-collapse entropy regulation.
  • This document defines the formal hypothesis and measurable metrics.

πŸ‘‰ Download Preprint PDF (1.9-M)


πŸ“„ Research Paper: A Minimal Structural Framework for the Emergence of Coherence

*Towards a Science of Unified Systems (SUS 2.5) *

πŸ‘‰ Download Preprint PDF (v2.5)


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