Decentralized Energetic Truth Consensus: A Kademlia-based P2P Protocol for Distributed Semantic Caching and Swarm Verification

[Defensive Publication / Prior Art Disclosure]

Abstract:
We present a network architecture that integrates Large Language Models (LLMs) with a decentralized Peer-to-Peer (P2P) storage system to maximize global energy efficiency and resilience against hallucinations. The system utilizes a modified Kademlia Distributed Hash Table (DHT) to store and retrieve energetically verified semantic vectors ("Truths"). Instead of redundantly executing generative inference for recurring queries locally, the system implements a "Network-First" routing strategy: A local agent first consults the global swarm. Only if no verified trajectory with low Hamiltonian energy (following LeCun et al. [1]) is found in the network, a local computation or cloud call is initiated.

Extension for Semantic Full-Text Search ("Hamilton-Search"):
Beyond exact hash lookups ("Exact Match"), the protocol integrates a decentralized search index for terms and text fragments, referred to as "Hamilton-Search". Query terms are decomposed into lexical sub-hashes to identify candidate content within the P2P network ("Fuzzy Search"). The local router subsequently filters these search results in a two-stage process: First, semantic vector similarity to the prompt is evaluated; second, the GSHA solver validates thermodynamic stability (truthfulness). This enables a "Verifiable Semantic Search" that physically filters out misinformation.

Technical Verification:
This document has been digitally signed with a Qualified Electronic Signature (QES) in accordance with the eIDAS regulation (ID Austria). This serves as cryptographic proof of authorship and integrity of the content at the time of publication. The validity of the signature is embedded within the PDF file.