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Reference Implementation: Trust Systems v1.26.0

Trust Systems is a desktop utility for the creation and verification of persistent digital provenance. It serves as the reference implementation for the charm.farm protocols, enabling creators and archivists to embed immutable metadata directly into media files using open standards.

Software distribution

This release includes a signed macOS disk image for Apple Silicon and a source archive for building on Linux and other platforms. SHA-256 checksums are provided for verification.

Intel Mac and Windows installers are not included in this release. Use the source archive or contact systems@charm.farm for deployment options.

Technical Specifications

This release implements the following technical requirements for archival integrity:

Provenance Standard

Fully compliant with the C2PA (Coalition for Content Provenance and Authenticity) specification. It utilizes ES256 (ECDSA P-256) for all cryptographic signatures and X.509 certificate chains in PEM format.

Identification

Generates IPFS CIDv1 identifiers for all processed assets. These are computed locally using a 256KB fixed-size chunker and a balanced DAG layout to ensure deterministic reproducibility across archival systems.

Physical Linking

Supports the ISO/IEC 7816-4 file system and NTAG 424 DNA Secure Dynamic Messaging (SDM) protocol. This allows for the cryptographic binding of digital manifests to physical hardware anchors via PC/SC compliant interfaces (e.g., ACS ACR1252U).

Archival Environment

Trust Systems is designed to operate within air-gapped or high-security environments.

Zero-Telemetry

The application does not require network access and performs no remote tracking. All cryptographic operations, including key generation and manifest signing, occur strictly within a local, encrypted SQLCipher vault.

Data Sovereignty

No asset data or private keys are transmitted or stored outside the user's local file system.

Documentation & Standards

Detailed implementation profiles for Protocol CF-001 (NFC Provisioning) and CF-002 (C2PA Schema) are available.

For technical inquiries or protocol documentation: systems@charm.farm

Art Object

A single-file image machine

Art Object is a single-file Python tool that compiles text into deterministic generative art. No dependencies, no randomness beyond what the text itself specifies. Twelve presets, a live-tuning browser studio, and images that audit their own composition.

Software distribution

This release is a source archive containing the CLI engine, the browser studio, and a README. Requires Python 3. SHA-256 checksum provided for verification.

Technical Specifications

Art Object commits to the following constraints:

Determinism

The same text, seed, and preset always produce a byte-identical PNG. Letter frequencies, word rhythm, punctuation, entropy, and bigram structure are compiled into a fixed pipeline of image operators—no external randomness.

Presets & Studio

Twelve named looks (from pure to pecktones), plus a local browser studio for live tuning. Studio renders are pixel-identical to the CLI; overrides are recorded honestly in the recipe.

Self-Auditing Provenance

Every PNG embeds its source text, seed, preset, compiled recipe, and a measured coverage audit in tEXt/iTXt chunks. Given the file and the same script version, any image can be regenerated exactly. Metadata follows the Trust Systems Seal generator contract for complementary sealing workflows.

Documentation

Run python3 art_object.py --constitution for the committed clauses, or contact systems@charm.farm.