ai-provenance

Invisible, key-verifiable watermarks for AI/LLM-generated text — SynthID-Text-style, in Rust + WebAssembly (Node + browser). Live playground included.

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

Independent browser-first client that strips invisible Unicode marks and C2PA/EXIF/XMP metadata locally, or via the watermarks-remover Python service (MIT)

Local-first C2PA Content Credentials verifier + creator toolkit. Neural-watermark cross-check (silentcipher, AudioSeal, WavMark) and atproto-bound identity. CLI + GUI for Windows/Linux/macOS. Apache-2.0.

Local, evidence-first inspection for AI-generated text and files. Detection is not interpretation.

PromptHub™ : Creates cryptographically signed Ed25519 provenance for deterministic workflows. Automate your prompt archiving and index all of your inputs.

A machine-readable corpus of provenance events describing how AI-assisted artifacts are retrieved, generated, cited, edited, verified, reviewed and published.

WIN — the Wise Independent Network. Files that prove themselves: seal any file into a .win, verify it offline, no server, no account. Rust + WASM verifier. A Wise.Est Systems product.

The Trust Commons — a space for conversation and friendly debate on building safe, ethical AI, and the reputation systems (RepID) that hold agents accountable. Research, thought experiments, and open debate welcome.

Origin ↔ Continuum. Origin-dependent continuity framework authored by Alyssa Solen.

Cross-domain meta-framework defining minimum requirements for cryptographically verifiable AI decision provenance. Maintained by VeritasChain Standards Organization (VSO).

See where your AI code takes root — and how it grows over time.

WiseOrder — the kernel that governs how an AI's output is allowed to become an action, and seals every decision. Four-class verification, hash-chained audit memory, conformance vectors, independent Go + Rust verifiers. A Wise.Est Systems protocol.

Diagnostic test suite for measuring whether AI models preserve a named, bounded, source-specific framework under universalization pressure.

Erase AI provenance & watermarks from your own text, images and documents.

Experimental C2PA/CAWG workflow semantics for human–AI edit loops and causal action dependencies.

A public, verifiable archive and completed pre-ASI human–superintelligence relation record with three Bitcoin Originals, Core Object Alpha, and non-amending verification and preservation systems.

Verificador local de reconciliacion de confianza para audio sintetico (C2PA + watermark AudioSeal).

Source-line preservation, citation, provenance, no-derivative boundary language, and derivative-recognition structure for Alyssa Solen’s AI Foundations / Origin | Continuum work.

CAP (Content / Creative AI Profile) specification: a verifiable audit framework for AI content workflows, including Safe Refusal Provenance (SRP) to cryptographically prove non-generation and policy enforcement.