citrus search
Select a paper, explore related research
citrus search launched on September 12, 2024 with 4 votes. The site was still online in September 2026, 2 years on.
What it does
Citrus is a similarity-based search engine for scientific literature: Select a paper, start the search and jump right to the heart of your research domain. Get an overview of important contributions from seminal papers to the state of the art.
Get an overview of relevant articles in a research field with a single search.
Does a similar job
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Citrus Search – Select a paper, explore related research2024 · citrus-search.com · ▲5Citrus Search is a similarity-based search engine for scientific literature: select a paper, start the search and jump right to the heart of your research domain. Get an overview of important contributions from seminal papers to the state of the art. Searching for research with text queries can cumbersome: queries of just a couple of words are not a very high-fidelity signal, leading to lots of false positives in the search results. Also, you run the risk of missing papers which simply use different taxonomy than your query. This is where similarity-based search can be a great complement:…
Orange Search2025 · orangery-ventures-harmony-602.lovable.app · ▲8Search Engine that only shows Quality Blogs (like pg, wbw)
- IMI made a website to semantically search ArXiv papers2024 · papermatch.mitanshu.tech · ▲324
As a grad student (and an ADHDer), I had trouble doing literature review systematically. To combat this, I made a website that finds similar papers using the meaning of the thing I am looking for. I used MixedBread's [^1] embedding model to generate vectors from the abstracts. I store and search similar vectors using Milvus [^2] and finally use Gradio [^3] to serve the frontend. I update the vector database weekly by pulling the metadata dataset from Kaggle [^4]. To speed up the search process on my free oracle instance, I binarise the embeddings and use Hamming distance as a metric. I would…
Deep search of all ML papers2024 · app.undermind.ai · ▲109Built an automated system to run a deep search of ArXiv and carefully find all the precise papers that exist on a complex topic. It's different from simple RAG because it searches, classifies, and adapts based on relevant papers it uncovers, and then continues until it finds every paper on a topic (trying to mimic the human research process). Benchmarked 10x higher accuracy and total retrieval compared to Google Scholar for a median search (whitepaper on website). Also knows when it is complete, and misses virtually nothing (< 3% or so, once it's converged). Website has a free trial and a…
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