Consciousness Energy: Proof-of-Creation (Signed PoC)

Status: Computational Proof-of-Concept (Simulation, not hardware)
Goal: Show a verifiable, cryptographically signed artifact that encodes an energy computation derived from voltage/current samples.
Why: Claims are easy; verification is hard. This repo demonstrates a minimal pipeline that anyone can run to reproduce the calculation and verify the signature.

What this does

• Simulates a short "energy extraction" run (voltage & current arrays).
• Computes instantaneous power and integrates to get energy in joules (and Wh).
• Produces a canonical JSON proof artifact and signs it (Ed25519 if available; HMAC fallback otherwise).
• Provides a verification script that checks the signature and recomputes energy from preview data.

Disclaimer: This is a simulation used to demonstrate reproducible, signed evidence formatting. It is not a claim of real hardware energy extraction.

Quick start

python -m venv .venv && source .venv/bin/activate   # Windows: .venv\Scripts\activate
pip install -r requirements.txt
python scripts/verify_energy_proof.py

You should see a verification report. If your environment supports Ed25519 (via cryptography), signature verification will be True.

Regenerate new proof artifacts

python scripts/simulate_and_sign_energy.py
python scripts/verify_energy_proof.py

Files

• data/energy_sensor_simulation.json — simulated time samples (preview), summary stats, sensor-salt derivation
• data/energy_proof_of_creation.json — signature + public key + canonical message
• scripts/simulate_and_sign_energy.py — regenerate the dataset and proof
• scripts/verify_energy_proof.py — verify signature and recompute energy from preview arrays
• scripts/utils.py — helpers

How to use this for real experiments

Replace the simulator with real, calibrated measurements:

1. Log synchronized voltage (V) and current (A) with timestamps or fixed sampling rate.
2. Integrate instantaneous power (P=V·I) to compute energy. Include uncertainties and instrument calibration.
3. Create the canonical JSON message with metadata (instruments, wiring, conditions).
4. Sign the message with a hardware-backed key and publish the public key.
5. Share raw data + proof so anyone can reproduce and verify.

SEO / Topics

consciousness, energy, proof-of-creation, cryptographic-proof, Ed25519, signed-artifacts, reproducible-science, open-science, simulation, data-signing

License

MIT