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 (38)

[1]
DEER: Draft with Diffusion, Verify with Autoregressive Models
2025Zicong Cheng, Guo-Wei Yang et al.
[2]
LLaDA2.0: Scaling Up Diffusion Language Models to 100B
2025Tiwei Bie, Maosong Cao et al.
[3]
Optimal Self-Consistency for Efficient Reasoning with Large Language Models
2025A. Feng, Marius Alonso et al.
[4]
TiDAR: Think in Diffusion, Talk in Autoregression
2025Jingyu Liu, Xin Dong et al.
[5]
SpecDiff-2: Scaling Diffusion Drafter Alignment For Faster Speculative Decoding
2025Jameson Sandler, Jacob K. Christopher et al.
[6]
Diffuse Thinking: Exploring Diffusion Language Models as Efficient Thought Proposers for Reasoning
2025Chenyang Shao, Sijian Ren et al.
[7]
Self Speculative Decoding for Diffusion Large Language Models
2025Yifeng Gao, Ziang Ji et al.
[8]
DiffuSpec: Unlocking Diffusion Language Models for Speculative Decoding
2025Guanghao Li, Zhihui Fu et al.
[9]
Spiffy: Multiplying Diffusion LLM Acceleration via Lossless Speculative Decoding
2025Sudhanshu Agrawal, Risheek Garrepalli et al.
[10]
Dream 7B: Diffusion Large Language Models
2025Jiacheng Ye, Zhihui Xie et al.
[11]
Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding
2025Chengyue Wu, Hao Zhang et al.
[12]
Large Language Diffusion Models
2025Shen Nie, Fengqi Zhu et al.
[13]
ACECODER: Acing Coder RL via Automated Test-Case Synthesis
2025Huaye Zeng, Dongfu Jiang et al.
[14]
Reward-Guided Speculative Decoding for Efficient LLM Reasoning
2025Baohao Liao, Yuhui Xu et al.
[15]
The Lessons of Developing Process Reward Models in Mathematical Reasoning
2025Zhenru Zhang, Chujie Zheng et al.
[16]
Qwen2.5-Coder Technical Report
2024Binyuan Hui, Jian Yang et al.
[17]
Generative Verifiers: Reward Modeling as Next-Token Prediction
2024Lunjun Zhang, Arian Hosseini et al.
[18]
Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion
2024Jacob K. Christopher, Brian R. Bartoldson et al.
[19]
Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models
2024Jiacheng Ye, Shansan Gong et al.
[20]
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution
2023Aaron Lou, Chenlin Meng et al.

Showing 20 of 38 references

Founder's Pitch

"Develop a reward-guided diffusion language model tool for enhanced reasoning across math and coding tasks."

Language ModelsScore: 8View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

2/4 signals

5

Quick Build

4/4 signals

10

Series A Potential

4/4 signals

10

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: 2/26/2026

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.