spiderpilot89/surgical-failure-boundaries-n2500

Surgical failure boundaries (n=2500)

First-principles Monte Carlo at the clocks where wet-clamp and micro-release assumptions die: tissue gate, halt, capillary stiction, ESD.

Named triad: Hold the sample · Don’t destroy tissue · Release.

Each receipt is 2,500 trajectories (tissue_loop is 100 steps of one liver pulse). Unique SHA-256 proof_hash per receipt row. Dual-regime flags (warn / hard) are booleans. One row = one trajectory unless marked loop-trace.

Custom OEM tissue gates, jaw Hz, part mass, and charge ceiling recompile the same binaries: 48-Hour Forge.

Hold / don’t destroy

Gates: liver/spleen 1.2 N · bowel/vessel 2.5 N · bone/tendon 40 N. Rupture is terminal. Cable only if tissue lives.

Config	Warn / hard
tissue_clamp	overstress 28.6% / rupture 34.0% · held 37.2% · cable 0.2% (exclusive)
tissue_loop	liver id 0 · halt 6.0 ms · held · 100 steps at 1 kHz

Release

ESD is terminal. Stiction only if charge lives. Piezo tracks exclusive stiction.

Config	Warn / hard
micro_release	stiction 8.2% / ESD 66.4% · safe retract 25.4% (exclusive)

Load

from datasets import load_dataset

clamp = load_dataset("spiderpilot89/surgical-failure-boundaries-n2500", "tissue_clamp", split="train")
print(len(clamp), clamp[0]["sample_held"], clamp[0]["viscoelastic_rupture"])

Engine

• Forge: johnkruze/genesis-core
• Reflex: johnkruze/ztp-runtime
• Site: zerotrustphysics.com
• Other sealed banks: doe-genesis-sealed-n2500 · humanoid-failure-boundaries-n2500 · ocean-failure-boundaries-n2500

License

MIT.

@dataset{kruze_surgical_failure_boundaries_n2500_2026,
  author = {Kruze, John},
  title = {Surgical failure boundaries (n=2500 dual-regime)},
  year = {2026},
  url = {https://huggingface.co/datasets/spiderpilot89/surgical-failure-boundaries-n2500}
}