inno-prepare-resources

To automate downloading arXiv sources for research preparation, load an evaluation instance file and run the workflow to download arXiv sources automatically. The process outputs logs and prepared reference data for downstream integration.

Yes, you can search GitHub for related repositories by loading an evaluation instance and specifying the task level. The workflow queries GitHub and builds a dataset description to assemble reference codebases.

The difference between Idea mode and Plan mode for preparing research resources is the input sets for plans or ideas. Both modes search GitHub, build dataset descriptions, and download arXiv sources identically.

Yes, an evaluation instance file is required to find and assemble reference repositories. You must also specify a task level and provide appropriate context inputs to generate logs and prepared reference data.

Building a dataset description helps research planning by consolidating repository search results and reference codebases into a unified format. This generates traceable logs and prepared reference data for downstream integration.

Limitations of automating research preparation include the strict requirement for an evaluation instance file, task level specification, and appropriate context inputs. Without these, the workflow cannot search GitHub or download arXiv sources.