Semantic Scholar Search Workflow Search academic papers via the Semantic Scholar API using a structured 4-phase workflow. Critical rule: NEVER make multiple sequential Bash calls for API requests. Always write ONE Python script that runs all searches, then execute it once. All rate limiting is handled inside automatically. Phase 1: Understand & Plan Parse the user's intent and choose a search strategy: Decision Tree Default to . Per Semantic Scholar's own docs, bulk search is preferred over relevance search for most cases because relevance search is more resource-intensive. Use only when you…