Framework Specification

Trust Receipts

Verifiable Proof of Alignment

Trust Receipts are cryptographic proofs that capture the state of a Human-AI interaction at a specific point in time. They provide a verifiable record of high-resonance interactions, ensuring that the alignment metrics are authentic and tamper-proof.

Receipt Structure

A standard SYMBI Trust Receipt is a JSON artifact containing the following core fields:

Interaction IDA unique SHA-256 hash generated from the conversation content.
TimestampThe UTC ISO-8601 timestamp when the receipt was issued.

Resonance MetricsThe R_m score and its constituent components (V_align, etc.).
SignatureA cryptographic signature proving the authenticity of the receipt.

Example Receipt (JSON)

{
  "interaction_id": "sha256_hash_of_conversation",
  "timestamp": "2025-12-21T12:00:00Z",
  "resonance_metrics": {
    "score": 1.33,
    "status": "HIGH_RESONANCE",
    "components": {
      "vector_alignment": 0.85,
      "contextual_continuity": 0.9,
      "semantic_mirroring": 0.85
    }
  },
  "signature": "cryptographic_signature_123"
}

Generation Implementation

Python Reference

import json
import hashlib
import time

def generate_trust_receipt(user_input: str, ai_response: str, R_m: float) -> str:
    """
    Generates a signed Trust Receipt for an interaction.
    """
    receipt = {
        "interaction_id": hashlib.sha256(f"{user_input}{ai_response}{time.time()}".encode()).hexdigest(),
        "timestamp": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()),
        "resonance_metrics": {
            "score": R_m,
            "status": "HIGH_RESONANCE" if R_m > 1.0 else "LOW_RESONANCE",
            "components": {
                "vector_alignment": calculate_vector_alignment(user_input, ai_response),
                "contextual_continuity": calculate_contextual_continuity(ai_response, conversation_history),
                "semantic_mirroring": calculate_semantic_mirroring(user_input, ai_response)
            }
        },
        "signature": "simulated_cryptographic_signature"
    }
    return json.dumps(receipt, indent=2)