A background‑independent, unified metriplectic field theory with an emergent causal cone and an epistemological J→M projection.
No dense scans. Zero training. Divergent reasoning. Constraint satisfaction in the moment.
- VDM — Klein-Gordon / reaction–diffusion field intelligence + walker ecology + scoreboard/GDSP gating
- Memory Steering — dynamic knowledge graph with event-driven updates
- Agency — inherent, minimal energy optimization rules
- Real-time control — swap massive pretraining for fast constraint satisfaction
Reproducibility: baselines + QA artifacts are archived on Zenodo. Code lives in public GitHub repos with tests and docs.
- Latest Zenodo Upload: Counterfactual Echo Gain (CEG): Future-Aware Metriplectic Assistance Yields Gate-Certified Echo Improvement
- DOI: 10.5281/zenodo.17567396)
- (with code + datasets + figures)





