This paper argues that traditional academic articles hide failed experiments and leave out key implementation details, creating a “narrative tax” and an “engineering tax” that limit reproducibility. It proposes replacing static papers with ARA research packages—complete, executable bundles containing code, pipelines, and failure logs—so AI agents can fully understand and build on the work.