Purpose

3. Verification & Deep Dive

• Cross-reference Findings: Use information from one source (e.g., a paper title from web search) to find the canonical source (e.g., the PDF on arXiv or OpenReview).
• Extract Primary Data: Always prioritize extracting key details (like full author affiliation) directly from the original PDF to ensure accuracy.
• Profile Discovery: Search for professional profiles (e.g., Google Scholar) using the verified author name and affiliation.

4. Data Consolidation & Output

• Structure Collected Data: Compile the verified information into a structured format (e.g., list of lists for an Excel sheet).
• Write to Target: Update the original file (e.g., Excel workbook) with the collected data.
• Final Verification: Read back the updated file to confirm all data was written correctly and present a summary to the user.

Key Principles

• Parallelism is Key: Use tool calls concurrently whenever possible to minimize total research time.
• Prioritize Primary Sources: For academic data, the PDF of the paper is the ground truth for author order and affiliation.
• Verify Links: Ensure collected profile URLs are direct links to the author's public profile page.
• Handle Encoding: Be prepared to correctly process special characters in names and affiliations (e.g., Clément Bonet).