> For the complete documentation index, see [llms.txt](https://docs.neuroweb.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.neuroweb.ai/whitepapers.md). # Whitepapers Here, you'll find information about the foundational whitepapers that outline the core concepts and vision behind NeuroWeb's trusted infrastructure for decentralized artificial intelligence (AI). In 2022, OriginTrail introduced its ecosystem whitepaper 2.0. This whitepaper marks a pivotal moment as OriginTrail introduces its own layer 1 solution, the OriginTrail Parachain (now called NeuroWeb), running on Polkadot (layer 0). The NeuroWeb brings significant capabilities to incentivize DKG usage and growth, enhance efficiency without compromising decentralization, and foster network effects through interoperability with other blockchains. OriginTrail's whitepaper 3.0 presents a vision for the future of AI through the concept of a **verifiable Internet for AI**, leveraging the synergies of crypto, internet, and AI technologies. It introduces the Decentralized Knowledge Graph (DKG), a novel approach to ensure the provenance, integrity, and verifiability of information utilized by AI systems. It aims to address the challenges posed by misinformation, data ownership, intellectual property rights, and biases inherent in AI technologies by **synergizing neural and symbolic AI approaches with Web3 technologies**. This vision combines NeuroWeb blockchain with the dynamic capabilities of AI to foster a democratic, ethically guided, and economically viable future for AI applications. Read whitepapers on [the following link](https://origintrail.io/ecosystem/whitepaper). --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.neuroweb.ai/whitepapers.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.