Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 73 tok/s
Gemini 2.5 Pro 40 tok/s Pro
GPT-5 Medium 32 tok/s Pro
GPT-5 High 28 tok/s Pro
GPT-4o 75 tok/s Pro
Kimi K2 184 tok/s Pro
GPT OSS 120B 466 tok/s Pro
Claude Sonnet 4.5 35 tok/s Pro
2000 character limit reached

Adhesive category theory for graph rewriting in Rocq (2509.17392v1)

Published 22 Sep 2025 in cs.LO

Abstract: We design a Rocq library about adhesive categories, using Hierarchy Builder (HB). It is built around two hierarchies. The first is for categories, with usual categories at the bottom and adhesive categories at the top, with weaker variants of adhesive categories in between. The second is for morphisms (notably isomorphisms, monomorphisms and regular monomorphisms). Each level of these hierarchies is equipped with several interfaces to define instances. We cover basic categorical concepts such as pullbacks and equalizers, as well as results specific to adhesive categories. Using this library, we formalize two central theorems of categorical graph rewriting theory: the Church-Rosser theorem and the concurrency theorem. We provide several instances, including the category of types, the category of finite types, the category of simple graphs and categories of presheaves. We detail the implementation choices we made and report on the usage of HB for this formalization work.

Summary

We haven't generated a summary for this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube