RAG++ Specification
RAG++ is a high-performance retrieval engine that provides **statistical priors** from outcome-annotated trajectories. Unlike traditional RAG systems that retrieve text for language model context, RAG++ retrieves structured execution traces and computes distributional statistics for downstream policy conditioning. **Key Insight**: Past execution outcomes encode implicit knowledge about action feasibility, timing, and context-dependent success rates. RAG++ surfaces this knowledge as queryable priors.
Full HTML reader
Read the full artifact
Extracted abstract or opening context
Promotion decision
What has to happen next
Convert into the standard paper schema, add citations, and render a draft PDF.
Why this is not always a full paper yet
Corpus pages are public-safe readers for discovered workspace artifacts. They are not automatically final papers. A corpus item becomes a polished paper only after the editable source, evidence checkpoints, references, figures, render path, and release status are attached through the paper schema.