Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
CiteDash is an innovative research and writing platform powered by artificial intelligence, aimed at enhancing the academic workflow by integrating source discovery, analysis, drafting, and citation functionalities into a cohesive system. Users can simply input a research topic, essay prompt, or inquiry, prompting a sophisticated multi-agent pipeline to automatically explore various academic databases like Semantic Scholar, PubMed, and OpenAlex to identify, assess, and synthesize pertinent literature into a well-organized draft complete with inline citations. By focusing on accuracy and reliability, CiteDash ensures that every assertion is backed by verifiable academic sources, effectively eliminating fabricated references and guaranteeing that outputs can be traced back to authentic studies. The platform accommodates an extensive variety of academic tasks, such as writing essays, developing research papers, conducting literature reviews, and preparing for exams, while providing useful features like AI-generated notes, organized outlines, and question generation for active recall, all aimed at enhancing the learning experience. Furthermore, this comprehensive approach not only saves time but also elevates the quality of academic work by facilitating a deeper understanding of the subject matter.
Description
Connected Papers is an innovative visual instrument aimed at aiding researchers and applied scientists in uncovering and navigating academic literature relevant to their specific areas of study. By submitting a "seed paper," users can create a visual graph that illustrates related papers, utilizing a similarity metric based on analyses of co-citation and bibliographic coupling. This method enables users to discover significant literature, even in cases where direct citations may not exist. The generated graph offers a clear visual representation of the research ecosystem, emphasizing key works and highlighting possible directions for further investigation. By enhancing the literature review process, Connected Papers strives to make it more efficient and thorough for researchers, ultimately fostering a deeper understanding of their fields. Moreover, this tool encourages a more interconnected view of research by revealing unexpected relationships between studies.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Discord
Yes
EndNote
Yes
Google Sheets
Yes
Markdown
Yes
Mendeley
Yes
Microsoft Excel
Yes
Microsoft Word
Yes
Model Context Protocol (MCP)
Yes
Node.js
Yes
PubMed
Yes
Integrations
Discord
No
EndNote
No
Google Sheets
No
Markdown
No
Mendeley
No
Microsoft Excel
No
Microsoft Word
No
Model Context Protocol (MCP)
No
Node.js
No
PubMed
No
Pricing Details
$9 per month
Free Trial
No
Free Version
No
Pricing Details
$3 per month
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
CiteDash
Country
United States
Website
citedash.ai/
Vendor Details
Company Name
Connected Papers
Founded
2020
Country
United States
Website
www.connectedpapers.com