zhihaoairobotic Figure Reference Extraction
IMPORTANT — no extra API keys needed.
This workflow uses search_influential_papers (Semantic Scholar REST API, free) and
extract_paper_figures (local PDF processing). Do NOT use web_search and do NOT
ask for BRAVE_API_KEY or GOOGLE_API_KEY — they are not required.
classify_figures is optional and only runs if it appears in your tool list.
When to use
User mentions any of: 参考图, 架构图, 流程图参考, find paper figures, reference diagrams, architecture examples, "帮我找…论文的图", "I want to see how others draw …".
Tools
| Tool | Notes |
|---|---|
search_influential_papers |
Always call this first. Uses Semantic Scholar API — no API key required. |
extract_paper_figures |
Downloads PDF, extracts all labelled figures as PNG + SVG. |
classify_figures |
Optional — skip if not in your tool list. Uses your existing LLM config, no new keys. |
export_figure_reference |
Builds a PPTX + returns SVG paths. |
Workflow
Step 1 — Search (one call only)
Translate the topic to English. Call search_influential_papers exactly once:
search_influential_papers(topic="<English topic>", num_papers=<user-specified or 3>)
Do NOT call this multiple times. If it fails with 429/500, wait and retry once with the same query. Present titles + citation counts to the user and confirm before proceeding.
Step 2 — Extract figures
For each paper call extract_paper_figures with the pdf_url from Step 1 results:
extract_paper_figures(
paper_id=<arxiv_id or title slug>,
pdf_url=<url>,
paper_title=<title>,
paper_year=<year>,
paper_citations=<citation_count>
)
Collect all figures arrays into one flat list.
Step 3 — Classify (skip if tool not available)
If classify_figures is in your tool list: classify_figures(figures=[...all figures...])
If it is NOT in your tool list: skip this step entirely — proceed to Step 4.
Step 4 — Export
Map user intent to figure_type_filter:
| User intent | filter value |
|---|---|
| 流程图 / 架构图 / pipeline / architecture / framework | ["architecture_flowchart"] |
| 实验图 / 对比图 / results / ablation / bar chart | ["evaluation_plot"] |
| 示意图 / 概念图 / motivation / teaser | ["conceptual_illustration"] |
| Not specified | omit filter (export all) |
export_figure_reference(
figures=[...],
figure_type_filter=[...], # omit if user did not specify type
output_format="both",
slide_title="<English topic>"
)
Step 5 — Report (in user's language)
Tell the user:
- How many figures were extracted per paper and how many were selected after filtering
- Full path to the PPTX file (always under
<workspace>/outputs/figure_refs/) - The per-paper PNG/SVG folders are at
<workspace>/outputs/figure_refs/<paper_id>/ - SVG files can be imported into PowerPoint 2016+ or Inkscape for true vector editing
Example
User: "帮我找3篇 GNN 论文的架构图参考"
Step 1: search_influential_papers(topic="graph neural network architecture", num_papers=3)
Step 2: extract_paper_figures(...) × 3 papers
Step 3: classify_figures(figures=[...]) if tool available, else skip
Step 4: export_figure_reference(figures=[...], figure_type_filter=["architecture_flowchart"], ...)
Step 5: 回复中文：已从3篇论文提取N张图，筛选出M张架构图，PPT保存在...