https://github.com/csinva/arxiv-copier

Extension for copying the title + url of an arXiv page via right click

https://github.com/csinva/arxiv-copier

Science Score: 33.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: arxiv.org
  • Committers with academic emails
    1 of 1 committers (100.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (8.4%) to scientific vocabulary

Keywords

arxiv chrome-extension copy-to-clipboard firefox-extension
Last synced: 11 months ago · JSON representation

Repository

Extension for copying the title + url of an arXiv page via right click

Basic Info
  • Host: GitHub
  • Owner: csinva
  • Language: JavaScript
  • Default Branch: master
  • Size: 11.7 KB
Statistics
  • Stars: 1
  • Watchers: 3
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Topics
arxiv chrome-extension copy-to-clipboard firefox-extension
Created over 6 years ago · Last pushed 11 months ago
Metadata Files
Readme

readme.md

5 years later, it turns out GPT-5 can just write this extension entirely!

ArXiv/OpenReview → Markdown Citation (Title + authors)

Right-click an arXiv abstract page (e.g., https://arxiv.org/abs/2410.00812) or an OpenReview forum page (e.g., https://openreview.net/forum?id=mxMvWwyBWe) and choose “Copy Markdown citation”.
This copies Markdown like:

Crafting Interpretable Embeddings for Language Neuroscience by Asking LLMs Questions ([benara...gao, 2024](https://openreview.net/forum?id=mxMvWwyBWe))

or

Generative causal testing to bridge data-driven models and scientific theories in language neuroscience ([antonello...huth, 2025](https://arxiv.org/abs/2410.00812))

Formatting rules

  • Author last names only, all lowercase.
  • If there are > 4 authors, shorten to first...last.
  • Otherwise, join as a, b, c & d.
  • Extracts year from page meta or visible “Published:” text (OpenReview) / submission history (arXiv).
  • Applies common abbreviations in titles (case-insensitive):
    • Large Language Models → LLMs
    • Language Model(s) → LM/LMs
    • Reinforcement Learning → RL
    • Natural Language Processing → NLP
    • Machine Learning → ML
    • Artificial Intelligence → AI
    • Graph/Convolutional Neural Network(s) → GNN/CNN
    • Foundation Model(s) → FM/FMs
    • Diffusion Model(s) → DM/DMs
    • Computer Vision → CV

You can customize abbreviations inside background.js (abbreviateTitle()), and tune the OpenReview selectors in extractAuthorsOpenReview() if their DOM changes.

Install (Chrome/Edge/Brave)

  1. Unzip this folder.
  2. Go to chrome://extensions/ and enable Developer mode.
  3. Click Load unpacked and select the unzipped folder.
  4. Open an arXiv or OpenReview page, right-click, and click Copy Markdown citation.
  5. Paste into your notes.

Prompt

Prompt used to create this: ``` Create a fully downloadable chrome extension. Given an arXiv page (e.g. https://arxiv.org/abs/2410.00812), the extension should give an option to right-click the page and copy-paste the title and authors in markdown format. Specifically, it should copy the title, followed by a citation of the author last names and year, with the author names linking back to the page. - author last names should be lowercase - if there are greater than 4 authors, then the last names should give the first author, followed by "..." then the final last name. - abbreviate very common terms, for example "Large language models" to "LLMs"

Here are some examples after copying:

Generative causal testing to bridge data-driven models and scientific theories in language neuroscience (antonello...huth, 2025)

Context-faithful Prompting for LLMs (zhou, shang, poon & chen, 2023)

Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections (zhong...klein, 2021) ```

Owner

  • Name: Chandan Singh
  • Login: csinva
  • Kind: user
  • Location: Microsoft research
  • Company: Senior researcher

Senior researcher @Microsoft interpreting ML models in science and medicine. PhD from UC Berkeley.

GitHub Events

Total
  • Push event: 1
  • Fork event: 1
Last Year
  • Push event: 1
  • Fork event: 1

Committers

Last synced: 12 months ago

All Time
  • Total Commits: 2
  • Total Committers: 1
  • Avg Commits per committer: 2.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Chandan Singh c****h@b****u 2
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 12 months ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels