potre-test-time-reasoning-inspired-by-cognitive-he

name	potre-test-time-reasoning-inspired-by-cognitive-he
description	Skill generated from arXiv paper 2607.20268: PoTRE: Test-Time Reasoning inspired by Cognitive Heterogeneity
metadata	{"arxiv":{"id":"2607.20268","title":"PoTRE: Test-Time Reasoning inspired by Cognitive Heterogeneity","authors":["Anmol Kankariya","Sercan Ö. Arık"],"published":"2026-07-22","categories":["cs.AI","cs.CL"],"url":"https://arxiv.org/abs/2607.20268","utility":1}}

PoTRE: Test-Time Reasoning inspired by Cognitive Heterogeneity

arXiv: 2607.20268
Published: 2026-07-22
Authors: Anmol Kankariya, Sercan Ö. Arık
Categories: cs.AI, cs.CL
Utility: 1.00

Key Innovation

While Large Language Models (LLMs) excel at many tasks, they frequently struggle with complex reasoning that requires long-horizon planning and iterative error correction. Furthermore, standard single-stream prompting proves brittle when models encounter novel abstractions or rigorous domain constraints. We introduce PoTRE (Poly-Topological Reasoning Ensembles), a heterogeneous framework that decouples inference into four agents: (1) Adversarial Refinement Agent, (2) Hierarchical strategic Plann...

Potential Application

This paper presents advancements that could be applied to enhance agent capabilities in the areas of cs.AI, cs.CL.

References

• arXiv: https://arxiv.org/abs/2607.20268