Principle:ThreeSR Awesome Inference Time Scaling Paper Entry Addition

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

Overview

Paper Entry Addition is the concept of adding a new paper to a curated list, either by manually following a template or by using an automated script, ensuring that each entry contains consistent and complete metadata.

Description

The Awesome Inference Time Scaling repository maintains a curated collection of papers related to inference-time scaling techniques. Each paper entry follows a strict template format that includes the title with an arXiv link, a PDF link, authors, publication date, publisher/venue, and a collapsible abstract.

Contributors can add entries through two paths:

Manual Path -- The contributor copies the template format from the README (lines 39-51), fills in the paper's metadata, and inserts the entry into the appropriate section of the list.
Automated Path -- The contributor uses the provided fetch_semantic_info.py script (README lines 28-34) to automatically fetch paper metadata by name:

python fetch_semantic_info.py --paper_name "Paper Name"

Regardless of which path is taken, the final entry must conform to the repository's template format. The template uses emoji markers to visually distinguish each field, and wraps the abstract in a collapsible <details> HTML block to keep the list readable.

Usage

Use this principle whenever you need to add a new inference-time scaling paper to the repository. This applies to:

Adding a newly published paper that is relevant to the collection.
Adding an older paper that was previously overlooked.
Re-adding a paper whose entry was removed or corrupted.

The principle applies whether you use the manual editing approach or the automated script. In both cases, the goal is a correctly formatted entry placed in the appropriate section of the curated list.

Practical Guide

The paper entry addition process follows these steps:

PROCESS: Paper Entry Addition

1. IDENTIFY the paper to add:
      - Confirm it relates to inference-time scaling
      - Gather: title, arXiv ID, authors, date, venue, abstract

2. CHOOSE a method:
      a. MANUAL: Copy the template from README.md L39-51
         -> Fill in each field with the paper's metadata
      b. AUTOMATED: Run the fetch script
         -> python fetch_semantic_info.py --paper_name "Paper Name"
         -> Review the generated output for accuracy

3. FORMAT the entry using the template:
      🔹 [Title](https://arxiv.org/abs/{arxivId})
        - 🔗 arXiv PDF Link
        - 👤 Authors
        - 🗓️ Date (YYYY-MM-DD)
        - 📑 Publisher
        - 📝 Abstract (in collapsible block)

4. INSERT the entry into the correct section of README.md
      -> Place it in the appropriate category
      -> Maintain chronological or alphabetical ordering as applicable

5. VERIFY the entry matches the template format
      -> Check all fields are present
      -> Confirm links are valid
      -> Ensure the <details> block renders correctly

Related Pages

Implementation:ThreeSR_Awesome_Inference_Time_Scaling_Paper_Entry_Template -- Concrete documentation of the paper entry markdown template that contributors must follow.

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