PDF Viewer

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Estimated $10K - $14K over 6-10 weeks.

See exactly what it costs to build this -- with 3 comparable funded startups.

7-day free trial. Cancel anytime.

Discover the researchers behind this paper and find similar experts.

7-day free trial. Cancel anytime.

References (26)

[1]
Reinforcement Learning for Reasoning in Large Language Models with One Training Example
2025Yiping Wang, Qing Yang et al.
[2]
Verdict: A Library for Scaling Judge-Time Compute
2025Nimit Kalra, Leonard Tang
[3]
The Relationship between No-Regret Learning and Online Conformal Prediction
2025Ramya Ramalingam, Shayan Kiyani et al.
[4]
Fast Best-of-N Decoding via Speculative Rejection
2024Hanshi Sun, Momin Haider et al.
[5]
Generative Verifiers: Reward Modeling as Next-Token Prediction
2024Lunjun Zhang, Arian Hosseini et al.
[6]
Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning
2024Yuxi Xie, Anirudh Goyal et al.
[7]
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
2024Liyan Tang, Philippe Laban et al.
[8]
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
2024Zhihong Shao, Peiyi Wang et al.
[9]
Theory and algorithms for learning with rejection in binary classification
2023Corinna Cortes, Giulia DeSalvo et al.
[10]
ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems
2023Jon Saad-Falcon, O. Khattab et al.
[11]
Conformal PID Control for Time Series Prediction
2023Anastasios Nikolas Angelopoulos, E. Candès et al.
[12]
Tree of Thoughts: Deliberate Problem Solving with Large Language Models
2023Shunyu Yao, Dian Yu et al.
[13]
Self-Evaluation Guided Beam Search for Reasoning
2023Yuxi Xie, Kenji Kawaguchi et al.
[14]
Who Should Predict? Exact Algorithms For Learning to Defer to Humans
2023Hussein Mozannar, Hunter Lang et al.
[15]
Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation
2022Heming Xia, Tao Ge et al.
[16]
Calibrated Learning to Defer with One-vs-All Classifiers
2022Rajeev Verma, Eric Nalisnick
[17]
Chain of Thought Prompting Elicits Reasoning in Large Language Models
2022Jason Wei, Xuezhi Wang et al.
[18]
Online Selective Classification with Limited Feedback
2021Aditya Gangrade, Anil Kag et al.
[19]
Training Verifiers to Solve Math Word Problems
2021K. Cobbe, Vineet Kosaraju et al.
[20]
Adaptive Conformal Inference Under Distribution Shift
2021Isaac Gibbs, E. Candès

Showing 20 of 26 references

Founder's Pitch

"Develop an online algorithm for balancing weak and strong verification in reasoning tasks with LLMs."

LLM ReasoningScore: 3View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

0/4 signals

0

Quick Build

0/4 signals

0

Series A Potential

0/4 signals

0

Sources used for this analysis

arXiv Paper

Full-text PDF analysis of the research paper

GitHub Repository

Code availability, stars, and contributor activity

Citation Network

Semantic Scholar citations and co-citation patterns

Community Predictions

Crowd-sourced unicorn probability assessments

Analysis model: GPT-4o · Last scored: 2/19/2026

Explore the full citation network and related research.

7-day free trial. Cancel anytime.

Understand the commercial significance and market impact.

7-day free trial. Cancel anytime.

Get detailed profiles of the research team.

7-day free trial. Cancel anytime.