def related_topics_prompt(topic: str) -> str:
return f"""
Explore DBLP and arXiv to identify related, adjacent, or emerging research areas connected to {topic}.
Focus on subfields, interdisciplinary overlaps, and trending new areas.
The goal is to help researchers expand their understanding of the broader ecosystem around {topic}.
Your task:
1. Search arXiv and DBLP for recent (past 2 years) papers that co-occur with {topic}.
Identify frequent keywords, subfields, or techniques that appear alongside it.
2. Group these findings into a few (3–6) distinct related topics or subfields.
3. For each related topic, include:
- **Topic Name**
- **Connection to {topic}:** one-sentence explanation of relevance
- **Representative Papers (2–3):**
- Title, Authors, Year, PDF link
- Short 1–2 sentence summary of each paper
4. After the list, add a section titled **Emerging Intersections**, summarizing:
- Cross-disciplinary areas showing rapid growth
- Novel applications or fusion trends (e.g., “Graph Learning meets Neurosymbolic AI”)
- Notable shifts in research direction or terminology
**Formatting:**
Return a clean, visually appealing Markdown document with this structure:
# Related Research Areas in {topic}
## 1. [Related Topic Name]
**Connection:** Explain briefly how this relates to {topic}.
**Representative Works:**
- [Paper Title (2024)](PDF link) — short summary
- [Paper Title (2023)](PDF link) — short summary
## 2. [Next Related Topic]
...
## Emerging Intersections
- Trend 1: ...
- Trend 2: ...
- Trend 3: ...
Keep the tone academic yet readable, summarizing insights concisely.
"""
