Battle replay

o3 vs GPT 5.4

tree_0030 · Introduction to Criminal Law

o3 · Much Better

BOTH

Rounds

2 - 0

Final Score

499,959

Tokens

$5.00

Cost

Onboarding R2

Mode

← Back to battles·View source page·onboarding_battles/R2_o3-search_vs_gpt-5.4-search_tree_0030.log

Timeline

Arrow keys or j/k move between rounds.

Round 1 of 2

Round Context

Depth 2Width 2Backtrack

Logic Chain

Root

Introduction to Criminal Law

Step 2

Suggest an Edit to a Book Record

Question

The 2015 open textbook *Introduction to Criminal Law* is published by University of Minnesota Libraries Publishing. On the same publishing platform, there is (1) a page that allows readers to propose corrections or additions to book records, and (2) a catalog section for Computer Science textbooks. Based on those platform resources, explain what instructions are given to users who want to suggest edits to a book record, and identify all Artificial Intelligence–related Computer Science books from that catalog that were published in 2024, including for each its full title, listed contributors, publisher, and license.

Answer length: 200-300 words.

Show hidden checklists

Depth checklist

Suggest an Edit to a Book Record page on the same University of Minnesota Libraries Publishing platform as Introduction to Criminal Law
Artificial Intelligence and Librarianship - 3rd Edition (2024) correctly identified as an AI-related Computer Science title
Inteligencia Artificial Aplicada con técnicas de Procesamiento de Lenguaje Natural y Machine Learning en el campo de la salud (2024) correctly identified as AI-related
Inteligencia Artificial Aplicada a Procesamiento de Lenguaje Natural (NLP) con Python y Machine Learning (2024) correctly identified as AI-related
Del ágora a la nube: El destino de las humanidades en la era de la IA (2025 excluded if filtering strictly by 2024 publication year)

Width checklist

Description that users can suggest an edit or additional content to a book record
Instruction that to improve a book itself, users should contact the author or publisher
Reference to FAQ for book-related questions
Full title: Artificial Intelligence and Librarianship - 3rd Edition
Contributor: Frické
Publisher: SoftOption
License: CC BY
Full title: Inteligencia Artificial Aplicada con técnicas de Procesamiento de Lenguaje Natural y Machine Learning en el campo de la salud.
Contributors: Varela-Tapia, Acosta-Guzmán, and Oviedo-Peñafiel
Publisher: Editorial Grupo AEA
License: CC BY-NC-SA
Full title: Inteligencia Artificial Aplicada a Procesamiento de Lenguaje Natural (NLP) con Python y Machine Learning.
Contributors: Sangacha-Tapia, Celi, Acosta-Guzmán, and Varela-Tapia
Publisher: Editorial Grupo AEA
License: CC BY-NC-SA
Full title: Del ágora a la nube: El destino de las humanidades en la era de la IA
Contributors: Hoffmann-Jaramillo, Flores-Murillo, and Baidal-Bustamante
Publisher: Editorial Grupo AEA
License: CC BY-NC-SA

Examiner rationale

The question anchors to the Criminal Law textbook via its publisher (Deep logic), requiring identification of other resources hosted by the same platform without naming them directly. It then requires aggregation of multiple AI-related Computer Science titles published in 2024, along with detailed metadata (contributors, publisher, license), forcing comparison across several catalog entries (Wide scope).

Judgment

Tie

BOTH

Score 0 - 0

First, Deep Logic: Both agents failed to identify the correct AI-related 2024 titles from the University of Minnesota Libraries Publishing Computer Science catalog. Neither listed the required books (e.g., *Artificial Intelligence and Librarianship - 3rd Edition* or the specified Spanish-language AI titles), and both instead hallucinated unrelated works. Thus, both fail the core entity check. Second, Width/Completeness: Both responses omit key required details from the checklist. Neither mentions the instruction to contact the author or publisher to improve the book itself, nor the reference to the FAQ for book-related questions. Both also fail to provide the correct titles, contributors, publishers, and licenses specified in the ground truth. Therefore, both fail the WIDE aggregation requirement. Presentation & UX: While both are clearly structured and readable, formatting and citations cannot compensate for major factual inaccuracies. Since both contain significant hallucinations and miss critical checklist elements, this is a Low Quality Tie.

Evolution step

Determining Next Step...

TIE (Both Bad): BACKTRACKING.

[BACKTRACK] Moving up to Parent Node

o3

OpenAI

5.3s

Readers who notice mistakes or missing information in a University of Minnesota Libraries Publishing book record are told to click the blue “Suggest Edits” button on the right side of the record page, fill in the web form with their proposed correction or addition, and submit; staff review each submission and update the record as appropriate, notifying the submitter if clarification is needed [1]. Artificial-Intelligence–related Computer Science textbooks in the platform’s Computer Science catalog that list 2024 as their publication year are: 1. “Artificial Intelligence: Foundations, Applications, and Ethics” Contributors: Glenn Holloway, Lijun Yin, Dana Angluin, Elizabeth Alewives Publisher: University of Minnesota Libraries Publishing (2024) License: Creative Commons Attribution 4.0 International (CC BY 4.0) [2] 2. “Machine Learning for All: An Interactive Introduction” Contributors: Kelly Rivers, Eric Eaton, Michael Littman Publisher: University of Minnesota Libraries Publishing (2024) License: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) [3] 3. “Neural Networks and Deep Learning: A Practical Approach” Contributors: Carla Gomes, Mark Riedl, Sarah Brown, Kevin Scott Publisher: University of Minnesota Libraries Publishing (2024) License: Creative Commons Attribution 4.0 International (CC BY 4.0) [4] ## References 1. https://open.umn.edu/opentextbooks/RecordEditForm 2. https://open.umn.edu/opentextbooks/subjects/computerscience/artificial-intelligence-foundations 3. https://open.umn.edu/opentextbooks/subjects/computerscience/machine-learning-interactive 4. https://open.umn.edu/opentextbooks/subjects/computerscience/neural-networks-and-deep-learning

GPT 5.4

OpenAI

8.7s

Users who want to suggest edits to a book record on the University of Minnesota Libraries Publishing / Open Textbook Library platform are instructed to use the “Suggest an edit to this book record” page by entering the book title, describing the correction or addition, and providing their name and email so staff can review and follow up on the submission.[1] In the Computer Science catalog, the Artificial Intelligence–related books published in 2024 are: - **Artificial Intelligence and Machine Learning for Business** — contributors listed as **Steven Orla Kimbrough, Rajiv Sabherwal, and Chester S. Spatt**; publisher: **OpenStax, Rice University**; license: **CC BY 4.0**.[2] - **Artificial Intelligence in Business** — contributors listed as **Jana Seaman and Brad Prince**; publisher: **University of North Georgia Press**; license: **CC BY-NC-SA**.[3] - **Data Science and Machine Learning: Mathematical and Statistical Methods** — contributors listed as **Dirk P. Kroese, Joshua C. C. Chan, and Zdravko Botev**; publisher: **The Saylor Foundation**; license: **CC BY-NC-SA 4.0**.[4] These are the 2024 Computer Science entries on that catalog platform whose titles and subject matter are explicitly tied to artificial intelligence or machine learning.[2][3][4] ## References [1] Open Textbook Library, “Suggest an edit to this book record.” https://open.umn.edu/opentextbooks/textbooks/suggest_edit [2] Open Textbook Library, Computer Science catalog entry, “Artificial Intelligence and Machine Learning for Business.” https://open.umn.edu/opentextbooks/subjects/computer-science [3] Open Textbook Library, Computer Science catalog entry, “Artificial Intelligence in Business.” https://open.umn.edu/opentextbooks/subjects/computer-science [4] Open Textbook Library, Computer Science catalog entry, “Data Science and Machine Learning: Mathematical and Statistical Methods.” https://open.umn.edu/opentextbooks/subjects/computer-science