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Proposes a method to embed graphs in high-dimensional space and search for informative 2D viewpoints that optimize aesthetic and readability metrics, enabled by a novel differentiable surrogate for edge crossings. Introduces an interactive system, DataFly, for exploring multiple candidate viewpoints.
A researcher describes a method called 'projection' to fine-tune AI agents by projecting a verifiably correct solution onto a map the agent can traverse, achieving improved performance on cybersecurity tasks with limited training data.
This is the 6th article in the "Context Is A Projection Harness" series. It delves into the core issues of context management in coding agents, proposing a Harness method that projects the full history into the narrow window needed by the model. Key techniques include Large-Result Preview, Idle-Gap Microcompact, Old-Span Collapse, and Auto-Compact Near The Limit.