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What does this system do?
Instead of summarizing papers independently, this system retrieves a set of relevant papers,
extracts their structured contributions, and compares them —
surfacing overlaps, unique contributions, and methodological gaps that existing tools miss.
1
Enter your OpenAI API key
Paste your sk-... key
in the sidebar. It is stored only in your browser session and never sent to any server other than OpenAI directly.
2
Type a comparison query
Ask a comparative question about the research domain. Good examples:
"Compare multi-agent LLM frameworks for collaborative reasoning"
"What evaluation methods exist for LLM reasoning agents?"
3
Watch the 6-stage pipeline run
The progress bar shows each component completing in real time. The full pipeline takes
~25 seconds — the structured approach takes longer than a simple summary,
but produces typed, auditable comparison records.
4
Explore the structured results
Results include: per-paper contribution summaries, explicit paper-level overlaps,
differentiating aspects per paper, a problem × method gap matrix showing
absent combinations, and a synthesis paragraph with citations.
⚠️ Corpus note: The current corpus contains 100 papers in the agentic AI domain.
Results are corpus-level observations only — gap findings reflect what is absent from this retrieved
set, not the broader literature.