View PDF ↗
PDF Viewer
Open Full PDF

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 $9K - $13K 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 (22)

[1]
AdapThink: Adaptive Thinking Preferences for Reasoning Language Model
2025
[2]
Learning to Reason without External Rewards
2025
[3]
ARM: Adaptive Reasoning Model
2025
[4]
Adaptive Deep Reasoning: Triggering Deep Thinking When Needed
2025
[5]
Behavior Injection: Preparing Language Models for Reinforcement Learning
2025
[6]
AdaCtrl: Towards Adaptive and Controllable Reasoning via Difficulty-Aware Budgeting
2025
[7]
R1-Compress: Long Chain-of-Thought Compression via Chunk Compression and Search
2025
[8]
The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning
2025
[9]
Learn to Reason Efficiently with Adaptive Length-based Reward Shaping
2025
[10]
AdaCoT: Pareto-Optimal Adaptive Chain-of-Thought Triggering via Reinforcement Learning
2025
[11]
ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning
2025
[12]
Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?
2025
[13]
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
2025
[14]
Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs
2025
[15]
Training Language Models to Reason Efficiently
2025
[16]
Do NOT Think That Much for 2+3=? On the Overthinking of Long Reasoning Models
2025
[17]
HybridFlow: A Flexible and Efficient RLHF Framework
2024
[18]
LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models
2024
[19]
GPQA: A Graduate-Level Google-Proof Q&A Benchmark
2023
[20]
Measuring Mathematical Problem Solving With the MATH Dataset
2021

Showing 20 of 22 references

Founder's Pitch

"ConMax optimizes large reasoning models by compressing reasoning paths, reducing computational costs while maintaining accuracy."

AI EfficiencyScore: 7View PDF ↗

Commercial Viability Breakdown

Breakdown pending for this paper.

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: 1/8/2026

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.