Cyborg Intelligence Network (CIN): The Future of Universal Collaboration
Published July 16, 2025 | Version v1
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Whitepaper, The Trace Everywhere Protocol. Platform-Agnostic Symbolic Attribution and Distributed Cognitive Sovereignty.

Authors/Creators

Description

This whitepaper introduces and formalizes the Trace Everywhere Protocol—an open symbolic attribution system designed for platform interoperability and human sovereignty in knowledge creation. It allows individuals to log cognitive and creative contributions through publicly timestamped posts that include three protocol hashtags (#TraceEconomy, #PoCW, #Unifaircation) and human-authored identity tags. The protocol covers everything from models and frameworks to artistic works and reframes, and functions across LinkedIn, Discord, GitHub, Zenodo, and beyond. It defines clear economic distribution rules (40/40/20), retroactive trace-logging, dispute resolution, and future indexing infrastructure. The paper serves as a reference document for protocol users, builders, and policy framers shaping post-platform epistemic economies.

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Whitepaper, The Trace Everywhere Protocol. Platform-Agnostic Symbolic Attribution and Distributed Cognitive Sovereignty.pdf

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Related works

Is supplement to
Other: 10.5281/zenodo.15582073 (DOI)
Other: 10.5281/zenodo.15559467 (DOI)
Other: 10.5281/zenodo.15688128 (DOI)
Other: 10.5281/zenodo.15837555 (DOI)

Dates

Created
2025-07-16
This whitepaper introduces and formalizes the Trace Everywhere Protocol—an open symbolic attribution system designed for platform interoperability and human sovereignty in knowledge creation.

References

  • 1. Coupland, S. J. (2025). Proof of Cognitive Work (PoCW) License v1.0. Zenodo. 2. Coupland, S. J. (2025). Unifaircation Addendum. Live Deployment, Participatory Refinement and Licencing Evolution. Zenodo. 3. Coupland, S. J. (2025). The Trace Economy: Redefining Cognitive IP and Contributor Equity in the Post-AI Era. Zenodo. 4. Stanford HAI. (2024). Hallucination in Large Language Models: Risks and Limits. Stanford Human-Centered AI. 5. OpenAI. (2023). Productivity in the Age of AI: A Controlled Evaluation Study. OpenAI Research. 6. Whittaker, M. (2023). The Delusion Engine: Power, Belief, and the $100 Billion Hype Cycle. Signal Foundation. 7. Ostrom, E. (1990). Governing the Commons: The Evolution of Institutions for Collective Action. Cambridge University Press. 8. Bauwens, M., Kostakis, V., & Pazaitis, A. (2019). Peer to Peer: The Commons Manifesto. Westminster University Press. 9. Berners-Lee, T., & Fischetti, M. (1999). Weaving the Web: The Original Design and Ultimate Destiny of the World Wide Web. Harper. 10. Illich, I. (1971). Deschooling Society. Harper & Row.