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Releases: ZaneChen76/papyrus

v0.2.1 — OpenClaw Platform Adapter

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@ZaneChen76 ZaneChen76 released this 06 May 05:02

v0.2.1 — OpenClaw Platform Adapter

New

  • OpenClaw platform adapter: platforms/openclaw/papyrus-config.yaml
    • 9-step complete pipeline definition
    • Triggers, dependencies, environment variables documented
    • All design rules encoded for agent consumption
    • OpenClaw is now a first-class platform alongside Claude Code, Codex, Hermes, and Open Code

All 5 Supported Platforms

Platform Adapter
OpenClaw platforms/openclaw/papyrus-config.yaml
Claude Code platforms/claude-code/papyrus-skill.md
OpenAI Codex platforms/codex/papyrus-tool.yaml
Hermes platforms/hermes/papyrus-tool.py
Google Open Code platforms/open-code/papyrus-config.yaml

github.com/ZaneChen76/papyrus

v0.2.0 — Multi-Platform Agent Support

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@ZaneChen76 ZaneChen76 released this 06 May 04:53

v0.2.0 — Multi-Platform Agent Support

Cross-Platform Agent Adapters

Papyrus now works with Claude Code, OpenAI Codex, Hermes, and Google Open Code.
All four platforms use the same unified CLI with four commands: fetch, figures, formulas, pdf.

What is Papyrus

Turn arXiv papers into bilingual, deeply annotated, professionally typeset PDFs.
Original English + Chinese translation + web-researched expert commentary.

16 files | MIT License

github.com/ZaneChen76/papyrus

v0.1.1 — Vector PDF Figure Rasterization + NSA Paper Validation

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@ZaneChen76 ZaneChen76 released this 06 May 04:19

v0.1.1 — Vector PDF Figure Rasterization

New

  • render_figures.sh: PyMuPDF-based PDF figure → PNG conversion
  • Auto-detects raster vs vector PDF figures
  • Vector PDFs rasterized at 200 DPI (no external tools needed)
  • Resizes oversized images to 1200px max width

Validated

  • Successfully tested on NSA paper (ACL 2025 Best Paper, arXiv 2502.11089)
  • Produced 16-page annotated deep-read with 8 figures + 8 formulas
  • All 8 PDF figures correctly converted (4 were vector-only)

Documentation

  • SOP.md: Phase 2.5 Figure Rasterization step added
  • SKILL.md: render_figures.sh added to directory structure
  • Known Limitations updated: vector PDF + PyMuPDF note

Commentary Note

  • Current commentary depth is adequate but could be richer
  • Future version will strengthen web-research integration for deeper insights