Appendix A · Canonical bibliography
Every Work, listed once.
This is the book's canonical bibliography of papers, reports, posts, and code releases. Each Work keeps one title, public credit line, year, venue, type, and primary URL; the Atlas adds its editorial reading separately.
25
Works
24
With Atlas entries
1
Supplemental Work
4
Publication types
Work index
One bibliography, no duplicate records.
A catalog number appears only when a Work also has an Atlas entry. The supplemental ARC-AGI-3 paper still belongs in the bibliography without being forced into the 21-entry editorial catalog.
| Work | Year / type | Public credit line | Atlas | Primary source |
|---|---|---|---|---|
| p01 On the Measure of Intelligence arXiv · 2019 | 2019Papers | François Chollet (Google) | №01 → | Open ↗ |
| p02 ARC-AGI-2: A New Challenge for Frontier AI Reasoning Systems arXiv · 2025 | 2025Papers | François Chollet, Mike Knoop, Gregory Kamradt, Bryan Landers, Henry Pinkard (ARC Prize Foundation) | №02 → | Open ↗ |
| p03 ARC-AGI-3: A New Challenge for Frontier Agentic Intelligence arXiv · 2026 | 2026Papers | ARC Prize Foundation (benchmark design by François Chollet; co-founders Mike Knoop, Gregory Kamradt; lead environment design Hunter Henry; with the ARC-AGI-3 game-studio team) | №03 → | Open ↗ |
| p04 ARC Prize 2024: Technical Report arXiv · 2024 | 2024Reports | François Chollet, Mike Knoop, Gregory Kamradt, Bryan Landers (ARC Prize Foundation) | №04 → | Open ↗ |
| p05 ARC Prize 2025: Technical Report arXiv · 2026 | 2026Reports | ARC Prize Foundation (François Chollet, Mike Knoop, Gregory Kamradt, Bryan Landers) | №05 → | Open ↗ |
| p06 OpenAI o3 Breakthrough High Score on ARC-AGI-Pub ARC Prize blog · 2024 | 2024Blog posts | ARC Prize (François Chollet) | №06 → | Open ↗ |
| p07 ARC 2020 Kaggle 1st-Place Solution (Icecuber) Kaggle ARC · 2020 | 2020Code | Johan S. Wind ("icecuber") | №07 → | Open ↗ |
| p08 The Surprising Effectiveness of Test-Time Training for Abstract Reasoning arXiv · 2024 · ICML 2025 | 2024Papers | Ekin Akyürek, Mehul Damani, Adam Zweiger, Linlu Qiu, Han Guo, Jyothish Pari, Yoon Kim, Jacob Andreas (MIT CSAIL) | №08 → | Open ↗ |
| p09 Product of Experts with LLMs: Boosting Performance on ARC Is a Matter of Perspective arXiv · ICML 2025 | 2025Papers | Daniel Franzen, Jan Disselhoff, David Hartmann ("the ARChitects") | №09 → | Open ↗ |
| p10 Getting 50% (SoTA) on ARC-AGI with GPT-4o Redwood Research blog · 2024 | 2024Blog posts | Ryan Greenblatt (Redwood Research) | №10 → | Open ↗ |
| p11 How I got a record 53.6% on ARC-AGI-Pub using Sonnet 3.5 with Evolutionary Test-time Compute Substack · 2024 | 2024Blog posts | Jeremy Berman | №11 → | Open ↗ |
| p12 Combining Induction and Transduction for Abstract Reasoning ICLR 2025 | 2024Papers | Wen-Ding Li, Keya Hu, Carter Larsen, Yuqing Wu, Simon Alford, Caleb Woo, Spencer M. Dunn, Hao Tang, Michelangelo Naim, Dat Nguyen, Wei-Long Zheng, Zenna Tavares, Yewen Pu, Kevin Ellis (Cornell, Shanghai Jiao Tong University, Basis, Autodesk) | №12 → | Open ↗ |
| p13 Searching Latent Program Spaces (LPN) arXiv 2024 · NeurIPS 2025 spotlight | 2024Papers | Clément Bonnet, Matthew V. Macfarlane | №13 → | Open ↗ |
| p14 Hypothesis Search: Inductive Reasoning with Language Models ICLR 2024 | 2023Papers | Ruocheng Wang, Eric Zelikman, Gabriel Poesia, Yewen Pu, Nick Haber, Noah D. Goodman (Stanford University; Yewen Pu at Autodesk Research). Wang and Zelikman contributed equally. | №14 → | Open ↗ |
| p15 CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay ICML 2024 | 2024Papers | Natasha Butt, Blazej Manczak, Auke Wiggers, Corrado Rainone, David W. Zhang, Michaël Defferrard, Taco Cohen (Qualcomm AI Research; some authors also University of Amsterdam). | №15 → | Open ↗ |
| p16 ARC-AGI Without Pretraining (CompressARC) arXiv · 2025 | 2025Papers | Isaac Liao, Albert Gu (Carnegie Mellon University). | №16 → | Open ↗ |
| p17 Graph-Based Exploration for ARC-AGI-3 Interactive Reasoning Tasks arXiv · 2025 | 2025Papers | Evgenii Rudakov, Jonathan Shock, Benjamin Ultan Cowley | №17 → | Open ↗ |
| p18 DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning arXiv · 2020 | 2020Papers | Kevin Ellis, Catherine Wong, Maxwell Nye, Mathias Sablé-Meyer, Luc Cary, Lucas Morales, Luke Hewitt, Armando Solar-Lezama, Joshua B. Tenenbaum | №18 → | Open ↗ |
| p19 Large Language Models as General Pattern Machines CoRL 2023 | 2023Papers | Suvir Mirchandani, Fei Xia, Pete Florence, Brian Ichter, Danny Driess, Montserrat Gonzalez Arenas, Kanishka Rao, Dorsa Sadigh, Andy Zeng (Google DeepMind / Stanford) | №19 → | Open ↗ |
| p20 Understanding and Benchmarking Artificial Intelligence: OpenAI's o3 Is Not AGI arXiv · 2025 | 2025Papers | Rolf Pfister, Hansueli Jud | №23 → | Open ↗ |
| p21 Don't throw the baby out with the bathwater: How and why deep learning for ARC arXiv · 2025 | 2025Papers | Jack Cole, Mohamed Osman | №24 → | Open ↗ |
| hill-climbing-arc-agi-3 Hill-Climbing ARC-AGI-3 ARC-AGI-3 academic partner paper · 2026 | 2026Papers | Alexis Fox, Junlin Wang, Paul Rosu, Bhuwan Dhingra | Supplemental | No primary URL |
| p22 Executable World Models for ARC-AGI-3 in the Era of Coding Agents arXiv · AGI-2026 | 2026Papers | Sergey Rodionov | №20 → | Open ↗ |
| p23 OPINE-World: Programmatic World Modeling with Ontology-error-Prioritized Interactive Exploration for ARC-AGI-3 arXiv · 2026 | 2026Papers | David Courtis, Wenhao Li, Scott Sanner | №21 → | Open ↗ |
| p24 Do Coding Agents Need Executable World Models, Simplification, and Verification to Solve ARC-AGI-3? arXiv · 2026 | 2026Papers | Sergey Rodionov | №22 → | Open ↗ |