How is this different from Google Scholar?

Google Scholar relies on keyword matching, while Nubint uses semantic search to find papers by meaning. Natural-language questions return accurate results, and you get integrated metadata, source links, and citation info.

How is this different from ChatGPT search?

ChatGPT depends on training data and can hallucinate citations to nonexistent papers. Nubint searches real academic databases in real time, so every result is a verifiable, existing paper.

Which academic databases do you search?

Semantic Scholar, PubMed, arXiv, and 10+ other major academic databases — 460M+ papers in total, covering all fields.

Can I search in languages other than English?

Yes. Nubint understands questions in Korean, Japanese, Chinese, and English, and finds matching English papers. Most academic papers are English, so results lean English.

Can I save search results to my library?

Yes. Use the ⭐ button on any result to save it, or bulk-save multiple papers at once. Saved papers are immediately available in chat, literature review, citations, and other tools.

Paper Search

460M+ papers, one search away

Semantic academic search
10+ unified databases
Verified citations only

Paper Search

Query

Trusted by Students and Researchers Across the World

Key Features

What makes this agent special

Semantic academic search

Finds papers by meaning instead of keyword matching, so natural-language questions return accurate results

Natural-language queries
Meaning-based matching

10+ unified databases

One search across Semantic Scholar, PubMed, arXiv, and more — no matter the field

Semantic Scholar · PubMed · arXiv
460M+ papers

Testable

Novel

Feasible

Clear

Promising

Verified citations only

Unlike training-data-only tools, Nubint searches real academic databases — every result links to a verifiable source

Verified metadata
Direct source links

Refine

Add a new perspective

How It Works

real-time speech decoding intracortical BCI

Ask in natural language

Type your topic or research question in plain language

98% match

94% match

91% match

Semantic matching

Finds the most relevant papers by meaning, not keywords

Refine

Verified results

Returns papers indexed in academic databases.

Research Pipeline

Follow the full research pipeline

Step 1

Hypothesis Generator Hypothesis Evaluator

Step 2

Literature Review Research Tracer

Step 3

Survey Generator Citation Recommender

Step 4

Proofreader Peer Reviewer

FAQ

Frequently Asked Questions

Common questions about this agent