Most automated "last mile" tools re-extract the paper for each artifact and produce one-way renders; that wastes effort and breaks cross-artifact consistency. This work argues the last mile should be a composition of small, testable skills built on a single upstream extractor so multiple downstream generators can produce editable, aligned artifacts without re-parsing the paper.
Key Findings
- Shared extraction: a single Paper2Assets step extracts figures, captions, sections and stable identifiers so downstream skills reuse the same grounded bundle, reducing redundant grounding calls and mismatch errors.
- Modular generator skills: three editable generators (Paper2Poster, Paper2Video, Paper2Blog) are implemented as Claude Code and Codex skills; each produces print-ready or round-tripable artifacts (PPT/DOCX) rather than one-shot images.
- Integrated viewer and alignment: Paper2Reel binds poster, synchronized talk video, captions and bilingual blog into a self-contained HTML viewer where section clicks jump all modalities to matching content, improving navigation and consistency.
- Empirical gains: on the Paper2Poster benchmark the pipeline outperforms prior automated systems on aesthetics and information criteria and wins overall on a large fraction of evaluated papers; capability audits highlight narration-aligned on-slide highlights and layout-aware DOCX repair as unique enablers for editable outputs.
Who It's For and Trade-offs
Great fit if you need consistent, editable dissemination artifacts from a research paper (print posters, narrated videos, or bilingual blogs) and prefer a pipeline that avoids repeated extraction. Look elsewhere if you require end-to-end open-source implementations (the system relies on Claude Code/Codex skills and hosted APIs), or if you need fully automated visual design without any downstream human refinement—the pipeline improves efficiency and alignment but still expects authors to review and polish final layouts and editorial tone.
