Academic Research Mapper

tinyfish agent run --sync \
  --url "https://arxiv.org/search/?query=retrieval+augmented+generation&searchtype=all&order=-announced_date_first" \
  "Extract the top 15 results as JSON: [{\"title\": str, \"authors\": [str], \"year\": str, \"abstract_snippet\": str, \"arxiv_id\": str, \"url\": str}]" > /tmp/arxiv_results.json &

tinyfish agent run --sync \
  --url "https://www.semanticscholar.org/search?q=retrieval+augmented+generation&sort=Relevance" \
  "Extract the top 15 results as JSON: [{\"title\": str, \"authors\": [str], \"year\": str, \"citation_count\": str, \"venue\": str, \"abstract_snippet\": str, \"url\": str}]" > /tmp/s2_results.json &

tinyfish agent run --sync \
  --url "https://scholar.google.com/scholar?q=retrieval+augmented+generation&as_sdt=0%2C5&hl=en" \
  "Extract the top 15 results as JSON: [{\"title\": str, \"authors\": [str], \"year\": str, \"citation_count\": str, \"venue\": str, \"snippet\": str, \"url\": str}]" > /tmp/scholar_results.json &

wait
echo "All three sources complete."

# Do NOT do this — triples the wait time for no benefit
tinyfish agent run --url "https://arxiv.org/..." "search arxiv, then also search semantic scholar, then also search google scholar"

# Example: arXiv returned only 3 results for primary keywords
tinyfish agent run --sync \
  --url "https://arxiv.org/search/?query=RAG+language+model&searchtype=all&order=-announced_date_first" \
  "Extract the top 15 results as JSON: [{\"title\": str, \"authors\": [str], \"year\": str, \"abstract_snippet\": str, \"arxiv_id\": str, \"url\": str}]"

## Research Landscape: <topic>

### Volume & Coverage
- arXiv: <N> papers found, most recent: <year>
- Semantic Scholar: <N> papers found, highest citations: <N> (paper title)
- Google Scholar: <N> papers found
- Unique papers after deduplication: <N>

### Key Papers (sorted by citation count)
1. <Title> — <Authors>, <Year>, <Venue if known> — <citation_count> citations
   <one-sentence summary from abstract snippet>
2. ...
(list top 8–10 unique papers)

### Active Subtopics
Cluster the papers by what they are actually about. Label each cluster with a short name.
- **<Subtopic A>**: <N> papers — <1-sentence description of what this cluster covers>
- **<Subtopic B>**: <N> papers — ...
- **<Subtopic C>**: <N> papers — ...

### Key Authors & Groups
- <Author name> — <N> papers in results, affiliated with <institution if visible>
- ...
(list authors appearing 2+ times across the results)

### Recency Signal
- Papers from last 12 months: <N>
- Papers from last 3 years: <N>
- Oldest paper in results: <year>
- Trend: <accelerating / stable / declining> (infer from year distribution)

### Gaps & Open Directions
Based on what the papers cover and what they do not:
- **Gap 1**: <specific thing that is missing or underexplored>
- **Gap 2**: ...
- **Gap 3**: ...

### Landscape Verdict
<2–3 sentences: is this field crowded or open, mature or nascent, dominated by a few groups or distributed, and what is the single most underexplored angle?>

# List recent runs (useful if a run takes longer than expected)
tinyfish agent run list

# Get the full output of a specific run by ID
tinyfish agent run get <run_id>

# Cancel a run that is taking too long
tinyfish agent run cancel <run_id>

# Step 1 — fire all three in parallel
tinyfish agent run --sync \
  --url "https://arxiv.org/search/?query=mixture+of+experts+transformer&searchtype=all&order=-announced_date_first" \
  "Extract top 15 results as JSON: [{\"title\": str, \"authors\": [str], \"year\": str, \"abstract_snippet\": str, \"arxiv_id\": str, \"url\": str}]" \
  > /tmp/moe_arxiv.json &

tinyfish agent run --sync \
  --url "https://www.semanticscholar.org/search?q=mixture+of+experts+transformer&sort=Relevance" \
  "Extract top 15 results as JSON: [{\"title\": str, \"authors\": [str], \"year\": str, \"citation_count\": str, \"venue\": str, \"abstract_snippet\": str, \"url\": str}]" \
  > /tmp/moe_s2.json &

tinyfish agent run --sync \
  --url "https://scholar.google.com/scholar?q=mixture+of+experts+LLM&as_sdt=0%2C5&hl=en" \
  "Extract top 15 results as JSON: [{\"title\": str, \"authors\": [str], \"year\": str, \"citation_count\": str, \"venue\": str, \"snippet\": str, \"url\": str}]" \
  > /tmp/moe_scholar.json &

wait

# Step 2 — synthesize
# Read /tmp/moe_arxiv.json, /tmp/moe_s2.json, /tmp/moe_scholar.json
# Deduplicate → cluster → produce landscape report