// Find and thoroughly read a pathology foundation model paper from the papers/ directory. Use as a prerequisite before adding model information or magnification to the README.
Add a new pathology foundation model to the README (excluding magnification). Use when the user asks to add a model, paper, or feature extractor to the list, or mentions a new paper in the papers/ directory.
Calculate and add the effective magnification for a pathology foundation model already listed in the README. Use when the user asks to add magnification for a model that is already in the table.
| name | read-paper |
| description | Find and thoroughly read a pathology foundation model paper from the papers/ directory. Use as a prerequisite before adding model information or magnification to the README. |
Find and thoroughly read a pathology foundation model paper PDF from the papers/ directory, and gather supplementary information from GitHub and other sources.
The user will provide the title of the paper. If they don't provide the title, ask them to provide it.
Search papers/ for PDF files:
ls papers/*.pdf
Choose the PDF file that matches the title provided by the user (filename might be slightly different, so use common sense).
Note: Some papers have multiple PDFs—one for the main text and one for supplementary materials. These are named sensibly (e.g., ModelName.pdf and ModelName_supplementary.pdf). Be sure to read both if available, as supplementary materials often contain important details like training hyperparameters, dataset statistics, and architecture specifics not found in the main paper.
Read the entire PDF to extract model information. Key sections to examine:
Critical: When extracting training details (batch size, epochs, etc.), verify the context:
If the paper mentions a GitHub URL:
Fetch the repository README to find:
Look for model config files that may specify:
Tip: If information is missing from the paper, use web search to check additional sources:
- Hugging Face: Model cards often include architecture details, embedding dimensions, and input sizes
- GitHub: README, config files, and model code may have details not in the paper
- Press releases: Company/institution announcements sometimes include dataset sizes or release dates
- arXiv versions: Check if newer versions of the paper have additional details in appendices
- Blog posts: Authors sometimes write accompanying blog posts with extra technical details
- Any other sources you can find