Pangu Genix Project Basic Framework Document
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The Pangu Genix Project represents a pioneering interdisciplinary endeavor to explore the frontiers of digital life, decentralized systems, and universe simulation. Integrating fourth-generation blockchain technology (DSTC), the KLH25 bionic digital brain framework, and a self-evolving metaverse, the project aims to redefine the boundaries of consciousness, digital immortality, and cosmic simulation. DSTC leverages 92-base compression and quantum-resistant cryptography to create a scalable, secure foundation for decentralized governance and data management, enabling seamless integration of digital ecosystems. The KLH25 framework simulates human-like cognition through eight specialized partitions—instinct, perception, concept, memory, emotion, thought, core function, and behavior—augmented by glial cell scripts that optimize signal processing and inter-partition coordination. The metaverse component introduces a dynamic, physics-based digital universe governed by string-interaction-derived forces (gravity and repulsion) and script-controlled evolutionary mechanisms, facilitating the study of consciousness-driven physical rules and emergent phenomena.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it