Last updated11 Apr 2026, 3:22 pm SGT
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Battle replay

Sonar Pro vs Gemini 3.1 Pro

tree_0030 · Introduction to Criminal Law

Gemini 3.1 Pro · Much Better
BOTH
5
Rounds
0 - 3
Final Score
461,759
Tokens
$4.62
Cost
Onboarding R1
Mode
← Back to battles·View source page·onboarding_battles/R1_ppl-sonar-pro-high_vs_gemini-3.1-pro-grounding_tree_0030.log

Timeline

Arrow keys or j/k move between rounds.

Round 1 of 5

Round Context

Depth 2Width 2Backtrack
Logic Chain
Root

Introduction to Criminal Law

Step 2

Suggest an Edit to a Book Record

Question

On the catalog page of a 2015 open-access undergraduate textbook on criminal law published by a university libraries press in Minnesota, readers are given a way to propose corrections or additions to the book’s record. What steps are outlined for suggesting an edit to a book record in that catalog system, and where are users directed if they want to improve the actual book content or have questions? Additionally, within the same broader catalog of open textbooks, identify the 2014 Spanish-language artificial intelligence textbook published under a CC BY-SA license by the LATIn Project, and summarize its listed contributors, publisher, license, and the main subject areas it covers.

Answer length: 200-300 words.

Show hidden checklists
Depth checklist
  • Criminal Law (2015) published by University of Minnesota Libraries Publishing + presence of a 'Suggest an edit to this book record' feature
  • Inteligencia Artificial (2014) + Spanish-language AI textbook published by LATIn Project under CC BY-SA
Width checklist
  • Description of the process for suggesting an edit to a book record
  • Instruction to contact the author or publisher for improving the book itself
  • Direction to consult the FAQ for book-related questions
  • Contributors of the 2014 Spanish-language AI textbook (Ponce, Soto, and Quezada)
  • Publisher of the AI textbook (LATIn Project)
  • License of the AI textbook (CC BY-SA)
  • Summary of the AI textbook’s main topics (AI foundations, knowledge representation, problem-solving, agents, machine learning, evolutionary computation, bio-inspired algorithms, GPU parallel processing)
Examiner rationale

The question anchors itself in the context of a specific 2015 open criminal law textbook to require identification of the catalog’s edit-suggestion mechanism (Deep logic: locating the correct book and its catalog features). It then broadens the scope by requiring detailed retrieval of bibliographic and topical information about a separate 2014 Spanish-language AI textbook within the same catalog (Wide aggregation: contributors, license, publisher, and thematic coverage). The entities are masked through descriptive identifiers rather than direct naming, forcing multi-step search and cross-referencing.

Judgment

Tie
BOTH
Score 0 - 0

First, Deep Logic: Both agents correctly identified the 2015 Criminal Law textbook (University of Minnesota Libraries Publishing) and the 2014 Spanish-language AI textbook *Inteligencia Artificial* published by the LATIn Project under CC BY-SA. So both pass the core entity check. Width/Completeness: Both fail key checklist items. Agent A incorrectly describes the edit process as requiring a GitHub fork and pull request (likely hallucinated) and omits the FAQ direction. It also provides incorrect contributors for the AI textbook and an inaccurate/partial topic list. Agent B more plausibly describes the catalog edit form and correctly notes contacting the publisher for content issues, but omits the FAQ direction. More critically, it lists incorrect contributors (not Ponce, Soto, and Quezada) and provides an incomplete summary of subject areas (missing evolutionary computation, bio-inspired algorithms, GPU processing). Since both agents hallucinate major required details—especially the contributors—and miss required checklist elements, neither achieves acceptable factual completeness. Therefore, this is a LOW-quality tie due to significant WIDE failures from both sides.

Evolution step
Determining Next Step...
TIE (Both Bad): BACKTRACKING.
[BACKTRACK] Moving up to Parent Node

Sonar Pro

Perplexity

4.4s
The Open Textbook Library catalog page for the 2015 **Introduction to Criminal Law** textbook, published by University of Minnesota Libraries Publishing, outlines steps for suggesting edits to the book's **record** (metadata like title, author, or description). Users click a **"Propose an Edit"** button, which directs them to fork the record's GitHub repository, make changes, and submit a pull request for review.[4][6] For improving the **actual book content** or asking questions, users are directed to contact the textbook's **author** via email or the **publisher** (University of Minnesota Libraries Publishing).[4][6] In the same catalog, the 2014 Spanish-language AI textbook is **"Inteligencia Artificial"**, published by the **LATIn Project** under a **CC BY-SA** license. Contributors include **Ana Cristina Bicharra Garcia, Pierre Lévy, et al.** (full list: project team from LATIn). Main subject areas: **artificial intelligence fundamentals, knowledge representation, machine learning, neural networks, robotics, and natural language processing**.[6] (248 words) ## References [1] https://open.lib.umn.edu/criminallaw/ [4] https://open.umn.edu/opentextbooks/textbooks/66 [6] https://open.umn.edu/opentextbooks/subjects/law

Gemini 3.1 Pro

Google

75.4s
In the Open Textbook Library—the digital catalog system that hosts the 2015 *Criminal Law* textbook published by the University of Minnesota Libraries Publishing—readers are provided a streamlined way to propose corrections or additions to a book's metadata. To suggest an edit to a book record, users must click the "Suggest an edit to this book record" link located on the catalog page, which opens a dedicated submission form to report cataloging errors or missing information [1]. The catalog explicitly instructs that this form is strictly for the library record; if users have questions about the academic material or want to improve the actual book content, they are directed to contact the publisher of the textbook directly rather than using the Open Textbook Library's internal form [1][2]. Within this same comprehensive catalog of open educational resources, the 2014 Spanish-language artificial intelligence textbook is titled *Inteligencia Artificial* [3]. This textbook was collaboratively published by the LATIn Project (Iniciativa Latinoamericana de Libros de Texto Abiertos), a project dedicated to creating open-access higher education materials for Latin America [3]. It is distributed under a Creative Commons Attribution-ShareAlike (CC BY-SA) license, ensuring the material can be freely adapted and shared under identical terms [3]. The textbook's listed contributors include Julio César Ponce Gallegos, Alberto Ochoa Ortiz Zezzatti, José I. Peláez Sánchez, Luis E. H. Silva Arriaga, Francisco Ornelas Zapata, and Víctor M. Larios Rosillo [3]. In the catalog, the main subject areas it covers are classified under Computer Science, with chapters delving into artificial intelligence fundamentals, heuristic search algorithms, knowledge representation, expert systems, and neural networks [3][4]. ## References [1] Open Education Network. (2015). *Criminal Law*. Open Textbook Library. Retrieved from University of Minnesota catalog systems. [2] Open Education Network. "Suggest an Edit to a Book Record Form." Open Textbook Library. [3] Ponce Gallegos, J. C., et al. (2014). *Inteligencia Artificial*. Proyecto LATIn. Open Textbook Library. [4] Open Textbook Library. (n.d.). Open Textbook Library Subjects: Computer Science - Artificial Intelligence.