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 $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 (73)

[1]
Meta CLIP 2: A Worldwide Scaling Recipe
2025Yung-Sung Chuang, Yang Li et al.
[2]
Generating Long Semantic IDs in Parallel for Recommendation
2025Yupeng Hou, Jiacheng Li et al.
[3]
Perception Encoder: The best visual embeddings are not at the output of the network
2025Daniel Bolya, Po-Yao Huang et al.
[4]
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
2025Jinguo Zhu, Weiyun Wang et al.
[5]
SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
2025Michael Tschannen, Alexey Gritsenko et al.
[6]
Multimodal Autoregressive Pre-training of Large Vision Encoders
2024Enrico Fini, Mustafa Shukor et al.
[7]
Contrastive Localized Language-Image Pre-Training
2024Hong-You Chen, Zhengfeng Lai et al.
[8]
Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models
2024Zhengfeng Lai, Vasileios Saveris et al.
[9]
Pooling And Attention: What Are Effective Designs For LLM-Based Embedding Models?
2024Yixuan Tang, Yi Yang
[10]
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
2024Shengbang Tong, Ellis Brown et al.
[11]
LocCa: Visual Pretraining with Location-aware Captioners
2024Bo Wan, Michael Tschannen et al.
[12]
Gemma: Open Models Based on Gemini Research and Technology
2024Gemma Team Thomas Mesnard, Cassidy Hardin et al.
[13]
Deconstructing Denoising Diffusion Models for Self-Supervised Learning
2024Xinlei Chen, Zhuang Liu et al.
[14]
Improving fine-grained understanding in image-text pre-training
2024Ioana Bica, Anastasija Ili'c et al.
[15]
LLM2CLIP: Powerful Language Model Unlocks Richer Visual Representation
2024Weiquan Huang, Aoqi Wu et al.
[16]
Alpha-CLIP: A CLIP Model Focusing on Wherever you Want
2023Zeyi Sun, Ye Fang et al.
[17]
SILC: Improving Vision Language Pretraining with Self-Distillation
2023Muhammad Ferjad Naeem, Yongqin Xian et al.
[18]
Vision Transformers Need Registers
2023Timothée Darcet, Maxime Oquab et al.
[19]
Demystifying CLIP Data
2023Hu Xu, Saining Xie et al.
[20]
Improving Multimodal Datasets with Image Captioning
2023Thao Nguyen, S. Gadre et al.

Showing 20 of 73 references

Founder's Pitch

"Xray-Visual is a scalable multimodal vision model architecture achieving state-of-the-art performance on image and video tasks."

Vision ModelsScore: 3View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

2/4 signals

5

Quick Build

0/4 signals

0

Series A Potential

1/4 signals

2.5

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: 2/18/2026

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.