From Cosmic Information Mining to Dawn Field Theory: A Unified Framework for Symbolic Entropy Collapse, Recursive Intelligence, and Field Dynamics (Draft)

This synthesis paper presents Dawn Field Theory--a framework that began as speculative exploration of cosmic information mining and evolved into systematic investigation across physics, artificial intelligence, and complex systems. What started as exploring "mining information from the universe" has become seven specialized research papers, working computational frameworks, and a novel approach to understanding reality's structure.

The path from the original Cosmic Information Mining (CIM) thought experiment to these seven preprints has been unpredictable. Our framework proposes that information might drive reality's formation through recursive collapse events in dual energy-information fields, rather than merely describing existing structures.

We test these ideas through computational studies in quantum systems, biological evolution, fluid dynamics, and AI architectures. Results suggest intriguing patterns warranting investigation. We work under an "imperfection engine" methodology--treating this repository as a living experiment designed to evolve through scrutiny and collaboration. We explicitly seek arXiv endorsement and global collaboration to help validate, extend, or properly refute these concepts.

*Note: This work represents ongoing theoretical and computational exploration. While our results are promising, they require independent validation, peer review, and extension beyond computational studies. We present this framework as a research program for community investigation rather than established science.*