Research-Stack/4-Infrastructure/shim/four_force_geometry_probe_prior.py
2026-05-11 22:18:31 -05:00

168 lines
7.8 KiB
Python

#!/usr/bin/env python3
"""Receipt for using the Merkle-tensegrity lattice as a four-force probe geometry."""
from __future__ import annotations
import hashlib
import json
from pathlib import Path
from typing import Any
REPO = Path(__file__).resolve().parents[2]
SHIM = REPO / "4-Infrastructure" / "shim"
SOURCE = SHIM / "merkle_tensegrity_load_equation_receipt.json"
OUT = SHIM / "four_force_geometry_probe_prior_receipt.json"
CURRICULUM = SHIM / "four_force_geometry_probe_prior_curriculum.jsonl"
def stable_json(obj: Any) -> str:
return json.dumps(obj, sort_keys=True, separators=(",", ":"), ensure_ascii=True)
def sha256_text(text: str) -> str:
return hashlib.sha256(text.encode("utf-8")).hexdigest()
def build_receipt() -> dict[str, Any]:
source = json.loads(SOURCE.read_text(encoding="utf-8"))
receipt: dict[str, Any] = {
"schema": "four_force_geometry_probe_prior_v1",
"source_receipt": str(SOURCE.relative_to(REPO)),
"source_receipt_hash": source["receipt_hash"],
"source_merkle_root": source["merkle"]["root"],
"primary_read": (
"Use the braced Merkle-tensegrity cube as a probe geometry for force "
"separation. Gravity is a direct external load. Electromagnetism governs "
"material bonding, thermal response, sensing, and print actuation. Strong "
"interaction appears only as a material binding baseline at this scale. Weak "
"interaction appears as a radiation/transmutation boundary, not a printable "
"load actuator."
),
"four_force_mapping": {
"gravity": {
"active_in_harness": True,
"equation_slot": "p_i^G = [0, 0, m_i g]",
"geometry_role": "external body load and support reaction driver",
"measurable_proxy": ["mass_per_node", "gravity", "support_reactions", "residual_norm_l2"],
"print_control_status": "directly modeled as load",
},
"electromagnetic": {
"active_in_harness": "implicit",
"equation_slot": "K_material, thermal_window, bonding_energy, sensor_field",
"geometry_role": "stiffness, adhesion, heat flow, actuator/sensor coupling",
"measurable_proxy": ["material_batch", "temperature", "extrusion/flow", "conductivity", "sensor_digest"],
"print_control_status": "dominant real-world print/material force but not yet solved in toy harness",
},
"strong": {
"active_in_harness": False,
"equation_slot": "E_binding_material_baseline",
"geometry_role": "nuclear binding baseline behind material mass and atomic stability",
"measurable_proxy": ["material isotope/specification only if relevant"],
"print_control_status": "not a geometry control knob for ordinary 3D printing",
},
"weak": {
"active_in_harness": False,
"equation_slot": "R_decay_or_radiation_guard",
"geometry_role": "radioactive decay/transmutation boundary condition",
"measurable_proxy": ["radiation/isotope safety status only if relevant"],
"print_control_status": "not a load actuator; safety guard only",
},
},
"probe_state_16d": [
"x",
"y",
"z",
"mass_density",
"gravity_load_z",
"lateral_load_x",
"lateral_load_y",
"edge_force_density_q",
"support_reaction",
"print_density_rho",
"em_stiffness_or_thermal_state",
"material_binding_baseline",
"radiation_decay_guard",
"equilibrium_residual",
"merkle_phase_commitment",
"closure_margin",
],
"probe_equations": {
"force_sum": "p_i = p_i^G + p_i^EM + p_i^strong_baseline + p_i^weak_guard",
"gravity_load": "p_i^G = [0, 0, m_i g]",
"mechanical_closure": "sum_j q_ij(x_i - x_j) + p_i^G + r_i + p_i^EM ~= 0",
"em_material_placeholder": "p_i^EM := thermal/material/sensor correction term pending calibration",
"strong_baseline": "p_i^strong_baseline := 0 at macro geometry scale; enters material constants only",
"weak_guard": "p_i^weak_guard := 0 unless radioactive/transmutation boundary is active",
"closure_margin": "margin = epsilon_mech - ||R_mech||_2",
"commitment": "M_root = MerkleRoot(H(node/edge/support/force records))",
},
"what_it_says_now": [
"the current toy harness is mostly a gravity-plus-mechanics probe",
"the bracing result shows geometry controls whether lateral disturbance can close",
"EM must be the next real extension because printability is material/thermal/bonding dominated",
"strong and weak should remain material/safety metadata unless the experiment involves nuclear/radiological regimes",
"the 16D lift is useful as a typed probe-state vector, not as sixteen physical spatial dimensions",
],
"next_probe_steps": [
"add calibrated material stiffness and thermal expansion terms as the EM lane",
"add material batch metadata for binding baseline rather than pretending to actuate strong force",
"add radiation/isotope safety guard as a weak-force boundary if relevant",
"compare residual and Merkle roots across gravity-only, gravity+EM, and failed unbraced geometries",
],
"failure_rules": [
"treating all four forces as equally active in a desktop 3D print -> overclaim",
"using strong/weak forces as geometry knobs without nuclear/radiological model -> invalid",
"calling Merkle commitment a force measurement -> invalid",
"adding 16D axes without typed semantics -> bookkeeping noise",
"EM material lane omitted in real print safety claim -> hold",
],
"claim_boundary": (
"This is a probe-state prior for separating force roles in a toy lattice. "
"It is not a unified-field result, not a structural safety certificate, and "
"not evidence that strong or weak interactions are controllable by this geometry."
),
}
receipt["receipt_hash"] = sha256_text(stable_json(receipt))
return receipt
def write_curriculum(receipt: dict[str, Any]) -> None:
rows = [
{
"task": "classify_force_lane",
"input": "gravity, electromagnetism, strong, or weak term in lattice probe",
"target": "external load, material/thermal lane, binding baseline, or safety guard",
},
{
"task": "build_16d_probe_state",
"input": "node geometry, load, stress, material, residual, Merkle data",
"target": "typed 16D probe vector with no untyped axes",
},
{
"task": "reject_force_overclaim",
"input": "claim that toy print lattice probes all four forces directly",
"target": "gravity direct, EM next extension, strong/weak metadata or guard only",
},
]
CURRICULUM.write_text(
"".join(json.dumps(row, sort_keys=True) + "\n" for row in rows),
encoding="utf-8",
)
def main() -> None:
receipt = build_receipt()
OUT.write_text(json.dumps(receipt, indent=2, sort_keys=True) + "\n", encoding="utf-8")
write_curriculum(receipt)
print(json.dumps({
"receipt": str(OUT.relative_to(REPO)),
"curriculum": str(CURRICULUM.relative_to(REPO)),
"receipt_hash": receipt["receipt_hash"],
"source_receipt_hash": receipt["source_receipt_hash"],
"probe_state_dimensions": len(receipt["probe_state_16d"]),
}, indent=2, sort_keys=True))
if __name__ == "__main__":
main()