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Verified signature# CoIn-Matching-Head Pre-trained matching head models for the **CoIn** framework — a system for auditing hidden reasoning tokens in commercial LLM APIs. **Paper**: [CoIn: Counting the Invisible Reasoning Tokens in Commercial Opaque LLM APIs](https://arxiv.org/abs/2505.13778) **Code**: [GitHub](https://github.com/s1ghhh/LLM-Auditing-CoIn) ## Model Description This repository contains three pre-trained models used in the CoIn auditing pipeline: ### 1. Tokens2Block Matching Head (Model A) - **Purpose**: Verifies that sampled token IDs match their corresponding reasoning blocks - **Architecture**: `sentence-transformers/all-MiniLM-L6-v2` base encoder + cosine similarity matching head - **Input**: Token ID embeddings (mean-pooled) + reasoning block text embedding - **Output**: Match probability (0-1) ### 2. Block2Answer Matching Head (Model B) - **Purpose**: Verifies that each reasoning block is semantically relevant to the final answer - **Architecture**: `sentence-transformers/all-…399efd3
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