From Physical Pathology to Smart Contract State: Structuring QFER Data for ERC-3643 Verification Oracles
Technical Architecture // Layer 0 Transduction

From Physical Pathology to Smart Contract State: Structuring QFER Data for ERC-3643 Verification Oracles

How off-chain forensic reports are transformed into deterministic, cryptographically anchored inputs for ERC-3643 smart contracts via QFER data schemas and JSON-LD RWA standards.

Smart contracts are inherently deterministic; physical reality is not. The fundamental challenge in Real-World Asset (RWA) tokenization is the deterministic physical oracle problem: how to reliably and immutably translate the physical state of an asset (e.g., structural integrity, legal title) into a boolean state that a blockchain can enforce.

The Prop Trust Verified Standard (PTVS) solves this not through subjective price feeds, but through a rigorous, cryptographically anchored data pipeline that transforms a judicial expert’s physical inspection into an immutable QFER data schema, directly readable by an ERC-3643 identity registry.

1. The QFER Data Schema (JSON-LD RWA)

Before any cryptographic hashing occurs, the physical inspection data must be structured deterministically. PTVS utilizes a standardized JSON-LD RWA format to ensure semantic interoperability across different blockchain environments. This schema encapsulates the asset ID, the PTCE expert’s credential hash, the timestamp, and the specific Non-Destructive Testing (NDT) metrics.

// PTVS QFER Data Schema v1.0 (JSON-LD)
{
  "@context": "https://forensics-oracle.org/contexts/qfer-v1.jsonld",
  "type": "QualifiedForensicEvidenceRecord",
  "assetId": "urn:ptvs:asset:maritime:vessel-8842",
  "inspector": {
    "name": "Aurelio Tamarit Blay",
    "credentialId": "PTCE-ES-0161",
    "eidasQESHash": "0x7f83b1657ff1fc53b92dc18148a1d65dfc2d4b1fa3d677284addd200126d9069"
  },
  "inspectionData": {
    "ndtMethod": "Ultrasonic Testing (UT)",
    "structuralIntegrity": "PASS",
    "timestamp": "2026-11-04T10:00:00Z"
  },
  "payloadHash": "0x9f86d081884c7d659a2feaa0c55ad015a3bf4f1b2b0b822cd15d6c15b0f00a08"
}

2. The Cryptographic Pipeline: Off-Chain to On-Chain

Once the JSON-LD payload is generated, it undergoes a strict transduction pipeline to ensure tamper-evidence:

Step A: Canonicalization & Hashing. The JSON payload is canonically serialized and hashed using SHA-256. This payloadHash becomes the unique cryptographic fingerprint of the physical inspection.

Step B: Qualified Electronic Signature (QES). The hash is signed by the PTCE expert using an eIDAS 2.0 compliant hardware token, binding their legal and penal liability to the data.

Step C: Immutable Storage. The full JSON-LD document and the signed QES certificate are stored in a decentralized, content-addressed storage network (e.g., IPFS or Arweave), returning a Content Identifier (CID).

3. ERC-3643 Identity Registry Integration

The final step is bridging this off-chain truth to the on-chain token. PTVS leverages the ERC-3643 identity registry standard, which manages permissions via Claim Topics.

The Forensics Oracle acts as a trusted ClaimIssuer. It registers a specific claim topic (e.g., CLAIM_TOPIC_PHYSICAL_AUDIT = 10101). The claim data contains the IPFS CID and the expiration timestamp of the physical audit.

Within the RWA token’s smart contract, a custom modifier utilizes this claim:

// Solidity: PTVS Physical Oracle Modifier
modifier isPhysicallyAndLegallyBound(address _user) {
    require(
        identityRegistry.hasClaim(_user, CLAIM_TOPIC_PHYSICAL_AUDIT, issuerAddress),
        "PTVS: Physical audit claim missing or expired"
    );
    
    bytes32 auditHash = identityRegistry.getClaimData(_user, CLAIM_TOPIC_PHYSICAL_AUDIT);
    require(
        auditRegistry.isAuditValid(auditHash), 
        "PTVS: Physical pathology detected, asset frozen"
    );
    _;
}

Conclusion: Deterministic Trust

By structuring physical inspections into a standardized QFER data schema and anchoring them via eIDAS 2.0 signatures to an ERC-3643 identity registry, PTVS eliminates the ambiguity of traditional oracles. The smart contract no longer guesses the state of the physical world; it cryptographically verifies it.

Technical Reference & Schema Documentation:
The complete QFER JSON-LD schema, ERC-3643 integration guides, and cryptographic pipeline specifications are formally documented.
DOI: 10.5281/zenodo.23554355