I built a cryptographic audit receipt for Claude Mythos (and any AI model) — here's how it works

Anthropic's Mythos model can autonomously find zero-day vulnerabilities. Their CVD disclosure process uses manual SHA-3-512 hash commitments to prove findings existed. I built something that automates that in one line of Python. What AetherProof does One function call generates a 128-byte Ed25519-signed receipt that proves: What model ran — FNV-1a hash of provider/model ID What it produced — hash of the output When — cryptographic nanosecond timestamp Tamper-evident — flip any byte anywhere → INVALID python import aetherproof receipt = aetherproof.for_anthropic( "Find vulnerabilities in this binary.", finding_text, model="claude-mythos-preview" ) receipt.save("CVE-2026-001.receipt") print(receipt.verify()) # True Try it in 30 seconds pip install aetherproof python -c " import aetherproof r = aetherproof.for_anthropic('question', 'answer') print(r.verify()) # True print(r.pretty()) " The unusual part — invisible Unicode watermarking Receipts embed invisibly into any text using Unicode Private Use Area codepoints (U+E000–U+E0FF). AI output carries its own audit trail. Works in any language — Arabic, Chinese, Devanagari, Hebrew, Thai, Japanese all tested. signed_output = aetherproof.embed(ai_response, receipt.to_bytes()) # Text looks identical. Receipt is inside. aetherproof.verify_embedded(signed_output) # True Numbers 187 tests, 0 failures 128/128 byte flips all detected 1000/1000 tamper probes pass Cross-language: Python generates, Rust CLI verifies 15,446 receipts/sec (Python) · 5,472/sec (Rust) Why AGPL-3.0 Free for open source. Commercial use needs a license. This is the compliance layer under your AI stack — it should be open, auditable, and not vendor-locked. GitHub https://github.com/pulkit6732/aetherproof Built by Pulkit. Feedback welcome.