Repair networks for CacheRepair: Learning to Repair Cross-Chunk Context in RAG for KV Cache Fusion. Each network predicts residual corrections to independently precomputed document KV caches for one frozen target LLM. The same repairer serves MuSiQue, HotpotQA, MultiHop-RAG, and TriviaQA. The Qwen repairers are Built with Qwen. The Llama repairers are Built with Llama and are named Llama-CacheRepair S/M/L. Each target/size directory contains model.safetensors and config.json. The weight file holds repair parameters and the sigmastale / sigmadelta normalization tensors in FP32. The target LLM supplies its own frozen embedding. manifest.json lists exact parameter counts and file identities.…