Falsification Python Packages

gnosis-morph-bench

Benchmark-first methods lane for Gnosis extraction in the Zer0pa portfolio: neutral route scoring, null metrics, stability battery, deterministic replay. Methodology surface; useful now, improving continuously.

gnosis-indus

Indus-script anchor application in the Zer0pa Gnosis Portfolio: clean-room search-without-decode runtime + Phase 4 conditional catalogue at k=70 + Phase 5 non-decipherment posture. No decipherment claimed. Useful now, improving continuously.

zpe-video

Perception receipts for AI video pipelines. Cross-writer bit-exact under default settings (SHA-256 stable across writers in any language). Zero runtime dependencies; pure stdlib core. ~1.1 KB per video; per-frame CRC32 + schema + versioning. Useful now, improving continuously.

causal-falsify

causal-falsify: A Python library with algorithms for falsifying the unconfoundedness assumption in a composite dataset from multiple sources.