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26. Research Execution Fabric

**Status**: Active architecture **Scope**: Shared agent architecture for research-driven execution, remote training, evaluation, meta-review, and paper synthesis **Audience**: Claude Code, Codex, Gemini, orchestration services, paper-writing pipelines

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**Status**: Active architecture **Scope**: Shared agent architecture for research-driven execution, remote training, evaluation, meta-review, and paper synthesis **Audience**: Claude Code, Codex, Gemini, orchestration services, paper-writing pipelines This document defines a global architecture for how the AI stack turns a prompt like: - "Read this paper and reproduce the experiment" - "Train a model on this dataset" - "Run the Vast.ai workflow and tell me the result" - "Take the findings through evaluation, meta-review, and paper drafting" This is not an ASR-specific system. This is not a `cog-rlm` feature. This is a shared execution fabric that sits above individual workloads and below human intent. The ASR Paper 6 run is one profile inside this fabric, not the definition of the fabric.

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