| name | potre-cognitive-heterogeneity-reasoning |
| version | 1.0.0 |
| description | PoTRE (Poly-Topological Reasoning Ensembles) framework for complex reasoning through heterogeneous multi-agent architecture inspired by cognitive heterogeneity. |
| author | Anmol Kankariya, Sercan Ö. Arık |
| license | MIT |
| arxiv_id | 2607.20268v1 |
| tags | ["reasoning","multi-agent","heterogeneous","LLM","cognitive"] |
PoTRE: Test-Time Reasoning inspired by Cognitive Heterogeneity
Overview
PoTRE (Poly-Topological Reasoning Ensembles) is a heterogeneous framework that decouples inference into four specialized agents to handle complex reasoning tasks requiring long-horizon planning and iterative error correction.
Key Components
Four-Agent Architecture
- Adversarial Refinement Agent: Critiques and refines solutions through adversarial feedback
- Hierarchical Strategic Planning Agent: Breaks down complex problems into manageable sub-tasks with strategic oversight
- Spectrum Search Agent: Explores solution space through diverse search strategies
- Direct Chain Agent: Provides baseline reasoning through standard chain-of-thought approaches
Task-Adaptive Aggregation Layer
- Dynamically reconciles perspectives from all four agents
- Employs one of three reconciliation strategies based on task requirements:
- Final candidate selection
- Semantic synthesis
- Neuro-symbolic verification
- Produces robust global solution leveraging architectural heterogeneity
Implementation Guidelines
Agent Configuration
- Configure each agent with appropriate prompting strategies and constraints
- Implement inter-agent communication protocols for information sharing
- Set up aggregation layer with task-specific reconciliation logic
- Calibrate agent weights based on problem domain characteristics
Performance Optimization
- Achieves improved reasoning performance with similar or fewer inference tokens compared to homogeneous baselines
- Particularly effective on complex benchmarks requiring novel abstractions or rigorous domain constraints
- Can be adapted to various reasoning domains through agent specialization
Use Cases
- Complex mathematical reasoning (ARC-AGI-2)
- Comprehensive knowledge assessment (Humanity's Last Exam)
- Financial reasoning and analysis (PRBench Finance)
- Multi-step problem solving requiring diverse reasoning strategies
Activation Keywords
PoTRE, cognitive heterogeneity, multi-agent reasoning, poly-topological ensembles, adversarial refinement, hierarchical planning
References
- arXiv: 2607.20268v1
- Authors: Anmol Kankariya, Sercan Ö. Arık
- Published: July 22, 2026
- Benchmarks: ARC-AGI-2, Humanity's Last Exam (HLE), PRBench Finance
