digital-provenance

Test what AI watermark and provenance evidence exists, whether it verifies, and what survives publishing.

Research scaffold for multi-source music attribution with transparent confidence scoring. Companion code to Teikari, Petteri. 2026. “Governing Generative Music: Attribution Limits, Platform Incentives, and the Future of Creator Income.” SSRN Scholarly Paper No. 6109087. SSRN, https://dx.doi.org/10.2139/ssrn.6109087

Reality Trust Infrastructure for cryptographic provenance verification, immutable lineage tracking, attestation services, and probabilistic forensic media analysis.

Deterministic local tooling for watermark and provenance detection, Unicode anomaly scanning, image watermarking, and evidence-based prose style audits.

A C2PA-like Global Registry serving as an independent, publicly verifiable record of digital content provenance. Features a modern web interface for content verification and upload capabilities.

Inspect image metadata, C2PA Content Credentials, and editing provenance to explain camera-captured, AI-edited, and AI-generated images.

Python-Library, CLI und Netzwerkdienst für Bild-Metadaten, C2PA Content Credentials und KI-Bildverarbeitung

Description: An open evidence protocol for recording structural fingerprints, trace records, and provenance signals for AI-era creative works.

Local WorkRecord handoff system linking evidence, use decisions, participants, and export packages.

🚀 Explore web agents with WebExplorer, a cutting-edge model for training long-horizon queries and multi-step reasoning for advanced navigation tasks.

Fanfair Website: FanFair connects physical memorabilia to a secure digital identity, giving collectors, dealers, charities, and fans a simple way to verify what they own instantly.

Inspect AI provenance evidence, verify watermarks, and assess what publishing workflows destroy before relying on any single authenticity signal.