reasoning-verification

A framework for verifiable reasoning with language models.

GenPark AI Agent Skill - Self-consistency sampling aggregator, majority voting consensus engine, and semantic clusterer for reasoning verification.

GenPark AI Agent Skill - Self-consistency sampling aggregator, majority voting consensus engine, and semantic clusterer for reasoning verification.

framework for detecting hallucinations in LLM chain-of-thought reasoning. Features synthetic data corruption, transformer-based classifiers, Streamlit UI, and FastAPI backend.

ΑΩ+: Speculative reasoning verification for LLMs. Models reasoning as a potential field over token embeddings, directly linking to attention geometry. Implements tetralectic logic & Φ-harmonic stability. Efficient batched implementation with Hutchinson trace estimation, masking for variable-length sequences, and MPS/CPU hybrid for Apple Silicon.

Verify large language model reasoning with a meta-layer for stability, coherence, and hallucination detection using tetralectic logic and scoring

Public Tsubasa Conformance Corpus for Tobi Validator: verified examples, canonical outputs, diagnostics, and public/private boundary documentation.