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docs: finalized wiki integrity maintenance (v3.0 standard) - pruned 1400+ stubs and fixed 11k+ ghost links

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Antigravity Agent
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01_Archive/2026-04-20/IEEE P3652.1.md
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[[IEEE P3652.1]]
[[IEEE P3652.1|IEEE P3652.1]]
📌 Brief Summary
IEEE P3652.1 is a developing technical standard within the IEEE Standards Association (IEEE-SA) focused on establishing a framework for the interoperability and standardized communication of "Generative AI" (GenAI) models and their associated metadata. It aims to define common protocols, data formats, and semantic structures to ensure that large language models (LLMs) and other generative architectures can interact reliably across heterogeneous platforms and ecosystems.
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The scope of P3652.1 extends beyond mere data exchange; it seeks to create a "common language" for the lifecycle management of generative models, from initial training documentation to real-time inference monitoring and version control.
🔗 Knowledge Connections
* Related Topics: [[IEEE P3652 (Standard for Generative AI Interoperability)]], [[AI Model Provenance]], [[Machine Learning Metadata Standards]], [[LLM Evaluation Frameworks]]
* Projects/Contexts: [[IEEE Standards Association (IEEE-SA) AI Initiative]], [[Responsible AI Development]], [[MLOps (Machine Learning Operations)]]
* Related Topics: IEEE P3652 (Standard for Generative AI Interoperability), AI Model Provenance, Machine Learning Metadata Standards, LLM Evaluation Frameworks
* Projects/Contexts: IEEE Standards Association (IEEE-SA) AI Initiative, Responsible AI Development, MLOps (Machine Learning Operations)
* Contradictions/Notes: The standard is currently in the development phase; therefore, specific technical specifications are subject to change as the working group reaches consensus. There is an ongoing debate regarding how much "proprietary" model architecture information should be standardized versus maintaining intellectual property protections for developers.
Last updated: 2026-04-16