Principle:ThreeSR Awesome Inference Time Scaling Repository Forking

Metadata
Knowledge Sources	Awesome Inference Time Scaling
Domains	Open_Source, Version_Control, Curation
Last Updated	2026-02-14 00:00 GMT

Overview

Repository Forking is the concept of creating a personal copy of a repository via GitHub's fork mechanism, then cloning it locally to make changes independently before submitting them back to the original project.

Description

In open-source contribution workflows, contributors do not have direct write access to the upstream repository. Instead, they create a fork -- a server-side copy of the repository under their own GitHub account. This fork is a fully independent repository that retains the full commit history of the original. The contributor then clones the fork to their local machine, where they can add, edit, or remove files without affecting the upstream project.

For the Awesome Inference Time Scaling repository, the maintainer explicitly describes this workflow in the README (lines 18-24): "First, you can fork my repo. Then, add the paper you think relevant. After that, open a pull request." This establishes forking as the required first step in the manual paper contribution process.

The fork-and-clone pattern provides several benefits:

Isolation -- Contributors work in their own copy, preventing accidental changes to the curated list.
Full Git History -- The fork retains the complete history, enabling contributors to stay in sync with upstream changes.
Permission Independence -- No special access to the upstream repository is needed; any GitHub user can fork a public repository.

Usage

Use this principle whenever you need to contribute a paper entry to the Awesome Inference Time Scaling repository. Repository forking is the mandatory first step before any edits can be made through the manual paper contribution workflow. Specifically:

When you have identified a relevant inference-time scaling paper to add to the curated list.
When you want to propose corrections or updates to existing entries.
When you are setting up your local environment for the first time to contribute to this project.

Practical Guide

The repository forking process follows these steps:

PROCESS: Repository Forking for Awesome Inference Time Scaling

1. NAVIGATE to the upstream repository:
      https://github.com/ThreeSR/Awesome-Inference-Time-Scaling

2. CLICK the "Fork" button in the GitHub UI
      -> This creates a copy at:
         https://github.com/{your-username}/Awesome-Inference-Time-Scaling

3. CLONE the forked repository to your local machine:
      git clone https://github.com/{your-username}/Awesome-Inference-Time-Scaling.git

4. CHANGE into the cloned directory:
      cd Awesome-Inference-Time-Scaling

5. (OPTIONAL) ADD the upstream remote for future synchronization:
      git remote add upstream https://github.com/ThreeSR/Awesome-Inference-Time-Scaling.git

6. VERIFY remotes are configured correctly:
      git remote -v
      -> origin    https://github.com/{your-username}/Awesome-Inference-Time-Scaling.git (fetch)
      -> origin    https://github.com/{your-username}/Awesome-Inference-Time-Scaling.git (push)
      -> upstream  https://github.com/ThreeSR/Awesome-Inference-Time-Scaling.git (fetch)
      -> upstream  https://github.com/ThreeSR/Awesome-Inference-Time-Scaling.git (push)

After completing this process, the contributor has a local working copy where they can add new paper entries following the repository's template format.

Related Pages

Implementation:ThreeSR_Awesome_Inference_Time_Scaling_GitHub_Fork_And_Clone -- Concrete tool documentation for the GitHub fork and git clone workflow.

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