// AI paper reviewer. Use when the user says 'review my paper', 'help me review this paper', '审稿', 'give me feedback on my paper', 'check my manuscript', 'evaluate this paper for NeurIPS/ICLR/EuroSys'. Accepts PDF files and produces structured narrative reviews with venue-specific dimensional scores and Accept/Reject recommendation.
CLI tool (arxivterminal) for fetching, searching, and managing arXiv papers locally. Use when working with arXiv papers using the arxivterminal command - fetching new papers by category, searching the local database, viewing papers from specific dates, or managing the local paper database.
Fetch arXiv papers by date range and topics, rank them for research value, and produce introduction digests. Use when the user wants a literature sweep, daily or weekly paper triage, or a written overview of the best papers in a niche — without relying on the arxivterminal local database.
Search and analyze research papers, find related work, summarize key ideas. Use when user says "find papers", "related work", "literature review", "what does this paper say", or needs to understand academic papers.
Convert a local paper PDF to structured Markdown and export all figures as PNG + SVG + drawio. Attempts editable figure reconstruction via the built-in autofigure pipeline (SAM3 → RMBG-2.0 → VLM → SVG), falling back to a layered-SVG wrapper when API keys are unavailable. Use when the user wants to parse a paper PDF, extract its text as Markdown, or get editable/exportable figure assets.
Convert raster figure images into editable DrawIO files using SAM3 segmentation, RMBG-2.0 background removal, and multimodal LLM drawio generation.
Autonomous ML research loop — modify train.py, run 5-min GPU experiments, track val_bpb, iterate overnight. Invoke when the user wants to run self-directed architecture search on the autoresearch repo.
| name | ai-review |
| description | AI paper reviewer. Use when the user says 'review my paper', 'help me review this paper', '审稿', 'give me feedback on my paper', 'check my manuscript', 'evaluate this paper for NeurIPS/ICLR/EuroSys'. Accepts PDF files and produces structured narrative reviews with venue-specific dimensional scores and Accept/Reject recommendation. |
| metadata | {"clawphd":{"emoji":"📝"}} |
paper_review(pdf_path, venue="NeurIPS", mode="sot", num_reflections=1)
| Parameter | Type | Required | Description |
|---|---|---|---|
| pdf_path | string | yes | Absolute path to the paper PDF |
| venue | string | no | Target conference: NeurIPS / ICLR / ICML / EuroSys / OSDI / SOSP / CVPR / ICCV / General (default: General) |
| mode | string | no | sot = Strength-of-Thought multi-pass (default, highest quality); pure = single-pass (faster); vlm = send page images to vision model (evaluates figures/typesetting) |
| num_reflections | integer | no | Self-reflection iterations (default: 1) |
{
"status": "ok",
"output_path": "/home/user/.clawphd/workspace/outputs/paper_review/my_paper/review.md",
"venue": "NeurIPS",
"decision": "Accept",
"overall_score": 7,
"scores": {
"Originality": 3,
"Quality": 3,
"Clarity": 4,
"Significance": 3,
"Soundness": 3,
"Presentation": 4,
"Contribution": 3,
"overall": 7,
"confidence": 4,
"decision": "Accept",
"score_rationale": "Solid contribution with strong experiments and clear presentation, minor novelty concerns."
},
"warnings": []
}
Scores follow real conference review forms:
| Venue | Dimensions | Overall scale |
|---|---|---|
| NeurIPS / ICLR / ICML | Originality, Quality, Clarity, Significance, Soundness, Presentation, Contribution (each 1–4) | 1–10 |
| EuroSys / OSDI / SOSP | Novelty, Systems_Contribution, Evaluation_Rigor, Clarity (each 1–4) | 1–10 |
| CVPR / ICCV | Technical_Novelty, Soundness, Experiments, Presentation, Impact (each 1–4) | 1–6 |
Rubric source: SakanaAI/AI-Scientist (12.5k stars) — NeurIPS official review form.
User: 帮我把这篇论文按照 NeurIPS 标准审一下：/home/user/papers/my_draft.pdf
Agent: [calls paper_review with pdf_path="/home/user/papers/my_draft.pdf", venue="NeurIPS", mode="sot"] → Review saved to ~/.clawphd/workspace/outputs/paper_review/my_draft/review.md → Decision: Accept | Overall: 7/10 → Originality: 3/4 | Soundness: 3/4 | Contribution: 3/4
outputs/paper_review/<paper_stem>/
├── review.md # narrative review (6 sections) + score table
└── meta.json # venue, mode, scores, elapsed time
# Paper Review: <title>
> Venue: NeurIPS | Mode: sot | Generated: 2026-03-22
## Synopsis
## Summary of Review
## Strengths
## Weaknesses
## Suggestions for Improvement
## References
---
## Scores (NeurIPS)
| Dimension | Score |
...
**Decision: Accept**