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": 1.0
    }
  }
---
# 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