# srush/awesome-o1

A bibliography and survey of the papers surrounding o1

Repository: https://github.com/srush/awesome-o1
Canonical: https://ross.abutalabs.com/products/awesome-o1
Language: TeX
License Family: other
Last push: 2026-07-07T20:03:34+00:00

## Health v2 (maintenance only)
Score: 63/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 91, release rhythm 35, longevity 49
- inputs: {"age_days": 686, "days_push": 57, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1215, forks 50 (observed 2026-08-28T04:04:00.973990+00:00)

## What it is
A curated bibliography and survey of academic papers related to OpenAI's o1 reasoning model, including tutorial slides and a video. It organizes research on chain-of-thought, self-consistency, tree search, and train/test-time compute scaling.

## Use cases
- find papers about o1-style reasoning models
- learn how test-time compute and chain-of-thought scaling work
- survey research behind LLM reasoning with reinforcement learning
- get a tutorial on o1 and reasoning LLMs
- build a reading list on tree-of-thought and self-consistency
- understand the lineage from AlphaGo to o1

## When to choose
- you want a curated, annotated reading list on LLM reasoning and o1
- you're preparing a talk or course on reasoning models and test-time compute
- you want tutorial slides and a video walkthrough alongside citations

## When to avoid
- you need runnable code or a library for reasoning LLMs
- you need an exhaustive, continuously updated paper index rather than a curated survey
- you need formal peer-reviewed survey content

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: large-language-models, machine-learning, artificial-intelligence, tutorials, awesome-lists
- platform: -
- tags: bibliography, survey, reasoning, chain-of-thought, test-time-compute, reinforcement-learning, o1, papers, web-server

## Member repositories
- srush/awesome-o1 (main) score 63

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:00.973990+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:17:18.305798+00:00, confidence not recorded.
  - readme: https://github.com/srush/awesome-o1 (fetched 2026-08-28T04:04:00.973990+00:00, sha b5d10622fc7e)
- Data as of 2026-08-30T08:39:29.467469+00:00.