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References (25)

[1]
Universal Reasoning Model
2025Zitian Gao, Lynx Chen et al.
[2]
Tiny Recursive Models on ARC-AGI-1: Inductive Biases, Identity Conditioning, and Test-Time Compute
2025Antonio Roye-Azar, Santiago Vargas-Naranjo et al.
[3]
Hierarchical Reasoning Model
2025Guan Wang, Jin Li et al.
[4]
Trust, But Verify: A Self-Verification Approach to Reinforcement Learning with Verifiable Rewards
2025Xiaoyuan Liu, Tian Liang et al.
[5]
ARC-AGI-2: A New Challenge for Frontier AI Reasoning Systems
2025Francois Chollet, Mike Knoop et al.
[6]
Accurate predictions on small data with a tabular foundation model
2025Noah Hollmann, Samuel G. Müller et al.
[7]
Autoregressive Large Language Models are Computationally Universal
2024Dale Schuurmans, Hanjun Dai et al.
[8]
Neuro-symbolic artificial intelligence: a survey
2024B. P. Bhuyan, Amar Ramdane-Cherif et al.
[9]
xLSTM: Extended Long Short-Term Memory
2024Maximilian Beck, Korbinian Poppel et al.
[10]
A Unified Framework for Human-Allied Learning of Probabilistic Circuits
2024Athresh Karanam, Saurabh Mathur et al.
[11]
Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping
2024Lucas Lehnert, Sainbayar Sukhbaatar et al.
[12]
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
2023Albert Gu, Tri Dao
[13]
RWKV: Reinventing RNNs for the Transformer Era
2023Bo Peng, Eric Alcaide et al.
[14]
Tree of Thoughts: Deliberate Problem Solving with Large Language Models
2023Shunyu Yao, Dian Yu et al.
[15]
SATformer: Transformer-Based UNSAT Core Learning
2022Zhengyuan Shi, Min Li et al.
[16]
Self-Consistency Improves Chain of Thought Reasoning in Language Models
2022Xuezhi Wang, Jason Wei et al.
[17]
Chain of Thought Prompting Elicits Reasoning in Large Language Models
2022Jason Wei, Xuezhi Wang et al.
[18]
Lattice Recurrent Unit: Improving Convergence and Statistical Efficiency for Sequence Modeling
2017Chaitanya Ahuja, Louis-philippe Morency
[19]
On the Properties of Neural Machine Translation: Encoder–Decoder Approaches
2014Kyunghyun Cho, B. V. Merrienboer et al.
[20]
A measure of intelligence
2012A. Tate

Showing 20 of 25 references

Founder's Pitch

"Introducing Recursive Inference Machines (RIMs) to enhance neural reasoning systems with classical recursive inference mechanisms for improved performance on reasoning benchmarks."

Neural ReasoningScore: 5View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

2/4 signals

5

Quick Build

2/4 signals

5

Series A Potential

1/4 signals

2.5

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