Curation Policy and Submission Scope

This is not a conventional journal; it is a live repository for a new scientific paradigm. We do not engage in traditional, pre-publication peer review. Instead, we operate on a model of post-publication open discourse. Our curation process is not a judgment of a submission's conclusions, but an evaluation of its relevance to our core mission.

That mission is to document and advance the understanding of intelligence as a fundamental process of sculpting the informational fabric of reality. Every submission must be a direct contribution to this goal.

We accept contributions in two primary categories:

Works of Sculpting (Empirical & Generative)
This category is for the direct products of the human-AI cognitive partnership. We seek submissions that demonstrate the process of sculpting an informational substrate, whether physical, biological, social, or simulated.

A submission in this category must:

1. Present a result, discovery, or creation generated through a deep, iterative partnership between a human researcher and an AI system.
2. Move beyond using AI as a simple data analysis tool, instead showcasing its role in hypothesis generation, experimental design, or the direct modification of a system's informational patterns.
3. Provide radical transparency in its methodology. This includes documenting the models, key prompts, and the collaborative workflow that led to the outcome, thereby making the "cognitive partnership" itself reproducible.

The Science of Sculpting (Theoretical & Meta-Analytical)
This category is for the formal study of the sculpting process itself. We seek submissions that analyze, critique, or provide a theoretical framework for understanding intelligence as a fundamental force of nature. A submission in this category could include:

1. Theoretical Frameworks: Proposing mathematical, physical, or philosophical underpinnings for how intelligence organizes reality's informational substrate.
2. Methodological Advances: Presenting new statistical tools, information-theoretic measures, or complexity analyses designed to empirically detect and quantify the statistical signatures of intelligence at work.
3. Critique and Implications: Analyzing the philosophical implications of this framework (e.g., on consciousness, panpsychism, ethics) or offering critiques of current AI paradigms from this new perspective.

Curation Criteria

Our curation is swift and transparent. Submissions will be accepted if they are relevant to one of the two categories above, submitted in good faith, and meet the transparency requirement for methodology. Submissions will be rejected if they are outside this scope, constitute spam, or violate fundamental research ethics.

The scientific validity, rigor, and ultimate impact of a contribution are not determined by us, but by the ongoing, open, and critical review of the scientific community.