**DRAFT — do not push/merge without Raul review.**
## Summary
dataset_info had features but no splits/num_examples. Filled from viewer /size.
## Dates
- createdAt: 2026-04-16T15:05:37.000Z
- lastModified: 2026-07-24T04:48:45.000Z
Payload untouched. Draft SHA256SUMS included.
Ship multi-config Hub package: hardware_re4, sr_pareto, and SAAQ artifacts.
Expose explicit HF configs (no default), full RE4 parquet schema without
mangohud_active, consolidated SR Pareto table, validation scripts, model
source links, licenses, findings, and SAAQ 1.5. Keep RE4 in-repo for now;
survey/ and agent briefs stay gitignored.
My very first model creation was Spikenaut, a pure SNN made from scratch. Making more persistent route changes rather than dumping all of my cluster data files as I previously did.
This will be the start of the documentation of my new profound Neuromorphic research. Hoping that it will inspire others.
Now, let's get straight to business! Now this data reflects the new custom architecture discovery, the SNN routing path is trying to find the best physical path of least resistance in electric shots (spikes). Mimicking a biological system, which works to find the best possible solutions.
In my corinth-canal repo /example/saaq_latent_calibration.rs/ let token_ids = vec![402, 11492, 286, 257, 4568, 318, 12056, 4202, 13]; // Simulates: The derivative of a constant is mathematically zero. As my fourth test, this became my logic cluster discovery win! The network heavily leaned on walkers 627, 816, and ultimately stabilized into a deep groove on 746.
The future Metis SNN q…
